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Sommaire du brevet 2912424 

Énoncé de désistement de responsabilité concernant l'information provenant de tiers

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Disponibilité de l'Abrégé et des Revendications

L'apparition de différences dans le texte et l'image des Revendications et de l'Abrégé dépend du moment auquel le document est publié. Les textes des Revendications et de l'Abrégé sont affichés :

  • lorsque la demande peut être examinée par le public;
  • lorsque le brevet est émis (délivrance).
(12) Demande de brevet: (11) CA 2912424
(54) Titre français: ETABLISSEMENT DE PRIX REPOSANT SUR DES VISUALISATIONS DE PUBLICITES INTEGREES DANS DES UNITES DE PUBLICITES A DEFILEMENT
(54) Titre anglais: VIEW-BASED PRICING OF ADVERTISEMENTS IN SCROLLABLE ADVERTISEMENT UNITS
Statut: Réputée abandonnée et au-delà du délai pour le rétablissement - en attente de la réponse à l’avis de communication rejetée
Données bibliographiques
(51) Classification internationale des brevets (CIB):
(72) Inventeurs :
  • KARANDE, CHINMAY DEEPAK (Etats-Unis d'Amérique)
  • LIAN, QIAO (Etats-Unis d'Amérique)
  • XIAO, XINPAN (Etats-Unis d'Amérique)
  • KANTER, JEFFREY A. (Etats-Unis d'Amérique)
  • MASON, DAVID (Etats-Unis d'Amérique)
  • TANG, YI (Etats-Unis d'Amérique)
  • STEADMAN, BRIAN (Etats-Unis d'Amérique)
(73) Titulaires :
  • FACEBOOK, INC.
(71) Demandeurs :
  • FACEBOOK, INC. (Etats-Unis d'Amérique)
(74) Agent:
(74) Co-agent:
(45) Délivré:
(86) Date de dépôt PCT: 2014-05-30
(87) Mise à la disponibilité du public: 2014-12-18
Requête d'examen: 2015-11-12
Licence disponible: S.O.
Cédé au domaine public: S.O.
(25) Langue des documents déposés: Anglais

Traité de coopération en matière de brevets (PCT): Oui
(86) Numéro de la demande PCT: PCT/US2014/040175
(87) Numéro de publication internationale PCT: WO 2014200716
(85) Entrée nationale: 2015-11-12

(30) Données de priorité de la demande:
Numéro de la demande Pays / territoire Date
13/915,438 (Etats-Unis d'Amérique) 2013-06-11
13/915,448 (Etats-Unis d'Amérique) 2013-06-11

Abrégés

Abrégé français

Un système en ligne détermine l'établissement de prix d'une publicité comprise dans une unité de publicités à défilement comprenant de multiples publicités et une zone d'affichage présentant une ou plusieurs publicités. Lorsqu'une publicité est comprise dans une unité de publicités à défilement, un prix de présentation de la publicité est déterminé sur la base de quantités de consultations des publicités évaluées à des fins d'intégration dans l'unité de publicités à défilement et d'un facteur d'échelle. Le facteur d'échelle est basé sur la probabilité de présentation de la publicité à un utilisateur sur la base de la position dans l'unité de publicités à défilement associée à la publicité. Des caractéristiques de publicité affectant la probabilité de présentation d'une publicité à un utilisateur peuvent également être prises en compte pour le facteur d'échelle.


Abrégé anglais

An online system determines the pricing of an advertisement included in a scrollable advertisement unit including multiple advertisements and a display area presenting one or more advertisements. When an advertisement is included in a scrollable advertisement unit, a price for presentation of the advertisement is determined based on bid amounts of advertisements evaluated for inclusion in the scrollable advertisement unit and a scaling factor. The scaling factor is based on the probability of the advertisement being presented to a user based on the position in the scrollable advertisement unit associated with the advertisement. Advertisement characteristics affecting the likelihood of an advertisement being presented to a user may also be considered in the scaling factor.

Revendications

Note : Les revendications sont présentées dans la langue officielle dans laquelle elles ont été soumises.


What is claimed is:
1. A method comprising:
receiving information describing a plurality of advertisements from one or
more
advertisers, the information including a bid amount associated with each
advertisement in the plurality of advertisements;
retrieving, at an online system, information describing a plurality of
positions,
each position associated with one or more advertisements, in a scrollable
advertisement unit including a display area for presenting one or more
advertisements based on positions associated with the one or more
advertisement;
determining a scaling factor for each advertisement of the plurality of
advertisements, the scaling factor based on a probability of presenting the
advertisement to the user based on a position in the scrollable
advertisement unit associated with the advertisement;
determining a value for each advertisement, the value for an advertisement
based
on the scaling factor of the advertisement and a bid amount associated
with the advertisement;
ranking the plurality of advertisements based on the determined values;
selecting an advertisement from the plurality of advertisements based at least
in
part on the ranking; and
computing a price for the selected advertisement based at least in part on the
bid
amounts and the scaling factors associated with advertisements in the
plurality of advertisements.
2. The method of claim 1, wherein computing the price for the selected
advertisement based at least in part on the bid amounts and the scaling
factors associated with
advertisements in the plurality of advertisements comprises:
determining a bid amount for an advertisement having a lower ranking than the
selected advertisement in the ranking of the plurality of advertisements;
calculating a ratio of a scaling factor associated with the advertisement
having the
lower ranking than the selected advertisement to a scaling factor
associated with the selected advertisement; and
determining the price for the selected advertisement based on the bid amount
for
the advertisement having the lower ranking than the selected
advertisement and the calculated ratio.
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3. The method of claim 2, wherein determining the price for the selected
advertisement based on the bid amount for the advertisement having the lower
ranking than
the selected advertisement and the calculated ratio comprises:
determining a product of the bid amount for the advertisement having the lower
ranking than the selected advertisement and the calculated ratio.
4. The method of claim 2, wherein the selected advertisement and the
advertisement having the lower ranking than the selected ranking are
consecutively ranked.
5. The method of claim 1, wherein determining the scaling factor for each
advertisement of the plurality of advertisements comprises:
determining a probability of the advertisement being presented to the user in
the
display area based on one or more characteristics of the advertisement; and
determining the scaling factor for the advertisement based on the probability
of
the advertisement being presented to the user based on a position in the
scrollable advertisement unit associated with the advertisement and based
on the probability of the advertisement being presented to the user in the
display area based on one or more characteristics of the advertisement.
6. The method of claim 5, wherein the one or more characteristics of the
advertisement are selected from a group consisting of: targeting criteria,
content associated
with a privacy setting of the user, content associated with a product or
service previously
purchased by the user, content associated with a product or service previously
installed by the
user, and any combination thereof
7. The method of claim 1, wherein information describing the plurality of
advertisements from one or more advertisers includes one or more selected from
a group
consisting of: advertisement content, targeting criteria, display times, and
any combination
thereof
8. The method of claim 1, wherein the price for the selected advertisement
is
further based on a discount factor associated with a position in the
scrollable advertisement
unit associated with the selected advertisement, the discount factor
describing a likelihood of
user interaction with the selected advertisement in the position.
9. The method of claim 8, wherein the discount factor is based on
historical user
interaction with advertisements previously associated with the position.
10. A method comprising:
receiving, at an online system, information describing a plurality of
advertisements from one or more advertisers, the information including a
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bid amount associated with each advertisement in the plurality of
advertisements;
calculating a scaling factor for each advertisement from the plurality of
advertisements, the scaling factor describing a probability of a user being
presented with an advertisement based on the position of the advertisement
in a scrollable advertisement unit including a plurality of positions for
advertisements and a display area;
computing a score for each advertisement from the plurality of advertisements
based on the bid amounts associated with each advertisement from the
plurality of advertisements and the scaling factors;
ranking the plurality of advertisements based at least in part on the computed
scores;
selecting an advertisement from the plurality of advertisements based at least
in
part on the ranking; and
computing a price for the selected advertisement based at least in part on one
or
more bid amounts and one or more scaling factors associated with
advertisements from the plurality of advertisements.
11. The method of claim 10, wherein computing the price for the selected
advertisement based at least in part on one or more bid amounts and one or
more scaling
factors associated with advertisements from the plurality of advertisements
comprises:
determining a bid amount for an advertisement having a lower ranking than the
selected advertisement in the ranking of the plurality of advertisements;
calculating a ratio of a scaling factor associated with the advertisement
having the
lower ranking than the selected advertisement to a scaling factor
associated with the selected advertisement; and
determining the price for the selected advertisement based on the bid amount
for
the advertisement having the lower ranking than the selected
advertisement and the calculated ratio.
12. The method of claim 11, wherein determining the price for the selected
advertisement based on the bid amount for the advertisement having the lower
ranking than
the selected advertisement and the calculated ratio comprises:
determining a product of the bid amount for the advertisement having the lower
ranking than the selected advertisement and the calculated ratio.
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13. The method of claim 12, wherein the selected advertisement and the
advertisement having the lower ranking than the selected ranking are
consecutively ranked.
14. The method of claim 10, wherein the price for the selected
advertisement is
further based on a discount factor associated with a position in the
scrollable advertisement
unit associated with the selected advertisement, the discount factor
describing a likelihood of
user interaction with the selected advertisement in the position.
15. The method of claim 14, wherein the discount factor is based on
historical
user interaction with advertisements previously associated with the position.
16. The method of claim 10, wherein calculating the scaling factor for each
advertisement from the plurality of advertisements comprises:
determining a probability of the advertisement being presented to the user in
the
display area based on one or more characteristics of the advertisement; and
determining the scaling factor for the advertisement based on the probability
of
the advertisement being presented to the user based on a position in the
scrollable advertisement unit associated with the advertisement and based
on the probability of the advertisement being presented to the user in the
display area based on one or more characteristics of the advertisement.
17. The method of claim 16, wherein the one or more characteristics of the
advertisement are selected from a group consisting of: targeting criteria,
content associated
with a privacy setting of the user, content associated with a product or
service previously
purchased by the user, content associated with a product or service previously
installed by the
user, and any combination thereof
18. The method of claim 10, wherein information describing the plurality of
advertisements from one or more advertisers includes one or more selected from
a group
consisting of: advertisement content, targeting criteria, display times, and
any combination
thereof
19. A method comprising:
identifying an opportunity to serve one or more advertisements to a user of an
online system using a scrollable advertisement unit comprising a plurality
of positions, each position associated with an advertisement, and a display
area for presenting an advertisement based on its position within the
scrollable advertisement unit;
- 25 -

accessing a discount factor associated with each position, the discount factor
comprising a measure of predicted performance of an advertisement in
each position;
ranking the plurality of positions based at least in part on the discount
factors;
determining one or more positions of the scrollable advertisement unit
associated
with one or more advertisements based on the ranking of the plurality of
positions and a ranking of the one or more advertisements in the plurality
of advertisements;
generating the scrollable advertisement unit including the each of the one or
more
advertisements associated with a determined position; and
sending the scrollable advertisement unit for display to the user.
20. The method of claim 19, further comprising:
retrieving information describing an amount of user interaction with content
associated with each position of the plurality of positions; and
computing a discount factor associated with each position based at least in
part on
the retrieved information, the discount factor comprising a measure of
predicted performance of an advertisement in each position.
21. .The method of claim 20, wherein computing the discount factor
associated
with each position based at least in part on the retrieved information
comprises:
determining a probability of the user viewing content in a position;
determining a likelihood of the user accessing content in the position; and
determining the discount factor for the position based on the probability of
the
user viewing content in the position and the likelihood of the user
accessing content in the position.
22. The method of claim 21, wherein determining the discount factor for the
position based on the probability of the user viewing content in the position
and the
likelihood of the user accessing content in the position comprises:
determining a product of the probability of the user viewing content in the
position and the likelihood of the user accessing content in the position.
23. The method of claim 19, wherein ranking the plurality of advertisements
is
based at least in part on a bid amount associated with each of the plurality
of advertisements.
24. The method of claim 23, wherein the ranking the plurality of
advertisements
based at least in part on the bid amount associated with each of the plurality
of
advertisements comprises:
- 26 -

ranking the plurality of advertisements based at least in part on the bid
amount
and based on a probability of presenting each advertisement of the
plurality of advertisements in the display area based on one or more
properties specific to each advertisement of the plurality of
advertisements.
25. The method of claim 24, wherein the one or more properties specific to
each
advertisement of the plurality of advertisements are selected from a group
consisting of:
targeting criteria, content associated with a privacy setting of the user,
content associated
with a product or service previously purchased by the user, content associated
with a product
or service the user has installed, and any combination thereof
26. The method of claim 20, wherein the information describing an amount of
user interaction with content associated with each position of the plurality
of positions
comprises: historical user interaction information associated with content
previously
associated with one or more positions of the plurality of positions, a number
of users
indicating a preference for an advertisement presented in a position, a
percentage of users
indicating the preference for the advertisement presented in the position, a
number of users
accessing the advertisement presented in the position, a percentage of users
accessing the
advertisement presented in the position, and any combination thereof
27. The method of claim 19, further comprising:
receiving information describing the plurality of advertisements from one or
more
advertisers.
28. The method of claim 27, wherein the information describing the
plurality of
advertisements is selected from a group consisting of: advertisement content
for an
advertisement, targeting criteria for the advertisement, display times for the
advertisement,
and any combination thereof
29. The method of claim 19, wherein the online system is a social
networking
system.
30. The method of claim 29, wherein the plurality of advertisements
includes one
or more stories associated with content maintained by the social networking
system.
31. The method of claim 19, further comprising:
storing the discount factor associated with each position.
32. A method comprising:
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receiving information describing a plurality of advertisements from one or
more
advertisers, the information including a bid amount associated with each
advertisement in the plurality of advertisement;
identifying an opportunity to present one or more advertisements to a user of
an
online system using a scrollable advertisement unit, the scrollable
advertisement unit comprising a display area for presentation of one or
more content items including one or more advertisements to the user;
accessing a discount factor associated with each position, the discount factor
comprising a measure of predicted performance of an advertisement in
each position;
ranking the plurality of advertisements based at least in part on the bid
amount
associated with each of the plurality of advertisements;
determining one or more positions in the scrollable advertisement unit
associated
with one or more advertisements from the plurality of advertisement, a
position of an advertisement based at least in part on the ranking of the
advertisement and on the discount factor associated with the position; and
generating the scrollable advertisement unit including the one or more
advertisements associated with the one or more positions.
33. The method of claim 32, further comprising:
presenting the scrollable advertisement unit to the user.
34. The method of claim 32, further comprising:
retrieving information describing an amount of user interaction with content
associated with each position of a plurality of positions of the scrollable
advertisement unit; and
computing a discount factor associated with each position based at least in
part on
the retrieved information, the discount factor comprising a measure of
predicted performance of an advertisement in each position.
35. The method of claim 32, wherein determining one or more positions in
the
scrollable advertisement unit associated with one or more advertisements from
the plurality
of advertisement, the position of the advertisement based at least in part on
the ranking of the
advertisement and on the discount factor associated with the position
comprises:
ranking the plurality of positions based at least in part on the discount
factors; and
determining one or more positions in the scrollable advertisement unit
associated
with the one or more advertisements based on the ranking of the plurality
- 28 -

of positions and the ranking of the one or more advertisements in the
plurality of advertisements.
36. The method of claim 34, wherein computing the discount factor
associated
with each position based at least in part on the retrieved information
comprises:
determining a probability of the user viewing content in a position of the
plurality
of positions;
determining a likelihood of the user accessing content in the position of the
plurality of positions; and
determining the discount factor for the position based on the probability of
the
user viewing content in the position of the plurality of positions and the
likelihood of the user accessing content in the position of the plurality of
positions.
37. The method of claim 36, wherein determining the discount factor for the
position of the plurality of positions based on the probability of the user
viewing content in
the position of the plurality of positions and the likelihood of the user
accessing content in the
position of the plurality of positions comprises:
determining a product of the probability of the user viewing content in the
position of the plurality of positions and the likelihood of the user
accessing content in the position.
38. The method of claim 34, wherein the information describing the amount
of
user interaction with content associated with each position of the plurality
of positions
comprises historical user interaction information associated with content
previously
associated with one or more positions of the plurality of position.
39. The method of claim 32, wherein the online system is a social
networking
system.
40. The method of claim 39, wherein the plurality of advertisements
includes one
or more stories associated with content maintained by the social networking
system.
41. The method of claim 32, further comprising:
storing the discount factor associated with each position.
42. The method of claim 32, wherein the one or more content items for
presentation by the display area are selected from a group consisting of user
photographs,
stories describing actions performed by additional online system users
connected to the user,
actions suggested by the online system for the user, and any combination
thereof
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Description

Note : Les descriptions sont présentées dans la langue officielle dans laquelle elles ont été soumises.


CA 02912424 2015-11-12
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VIEW-BASED PRICING OF ADVERTISEMENTS IN SCROLLABLE
ADVERTISEMENT UNITS
BACKGROUND
[0001] This invention relates generally to online systems, and in
particular to displaying
advertisements on an online system.
[0002] Presenting advertisements to users of an online system allows an
advertiser to
gain public attention for products or services and to persuade online system
users to take an
action regarding the advertiser's products, services, opinions, or causes.
Many online
systems generate revenue by displaying advertisements to their users.
Frequently, online
systems charge advertisers for each presentation of an advertisement to an
online system user
(e.g., each "impression" of the advertisement).
[0003] Additionally, as users more frequently use mobile devices or other
devices with
limited display area, online systems may combine multiple advertisements into
a scrollable
advertisement unit. This reduces the display area on which advertisements are
presented to
reduce the likelihood of user alienation, while allowing users to navigate
through the
scrollable advertisement unit to view different advertisements. For example, a
user may
scroll horizontally or vertically through the scrollable advertisement unit to
access different
advertisements included in the scrollable advertisement unit.
[0004] Conventionally, online systems identify an impression of an
advertisement if the
advertisement is included in a scrollable advertisement, even if a user does
not navigate
through the scrollable advertisement unit to view the advertisement. For
example, a user
presented with a scrollable advertisement unit including advertisements does
not interact with
the scrollable advertisement unit, so only a single one of the advertisements
in the scrollable
advertisement unit is presented to the user; however, in conventional systems,
an impression
of each advertisement in the scrollable advertisement unit is credited.
Additionally,
advertisement-specific properties may make certain advertisements less likely
to be viewed
or interacted with by users, so presenting these advertisements in the display
area of a
scrollable advertisement unit may decrease the likelihood of the user viewing
other
advertisements in the scrollable advertisement unit. This decreases the
potential revenue to
the online system from presentation of the scrollable advertisement unit.
SUAEVIARY
[0005] An online system derives revenue by displaying advertisements to its
users. To
reduce the likelihood of alienating users by presenting a large number of
advertisements, the
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online system generates a scrollable advertisement unit including multiple
advertisements.
The scrollable advertisement unit includes a display area presenting one or
more
advertisements identified from multiple advertisements included in the
scrollable
advertisement unit. By interacting with the scrollable advertisement unit, an
online system
user causes different advertisements from the multiple advertisements included
in the
scrollable advertisement unit to be presented by the display area.
[0006] In various embodiments, the online system users a cost per
impression pricing
system that charges an advertiser when an advertisement associated with the
advertiser is
presented to a user. To maximize revenue while more accurately charging
advertisers for
advertisement impressions, the online system determines an advertisement's
position in a
scrollable advertisement unit based at least in part on the probability that
an advertisement
will be viewed based on the advertisement's position in a scrollable
advertisement unit and
on properties specific to the advertisement.
[0007] To identify a position in a scrollable advertisement unit for
advertisements, the
online system determines the values of positions in the scrollable
advertisement unit for
advertisements. For example, the online system determines a discount factor
for each
position in the scrollable advertisement unit describing a measure of
predicted performance
of an advertisement in each position and subsequently accesses the discount
factors to select
advertisements for inclusion in the scrollable advertisement unit. Based on
the discount
factors, the positions of the scrollable advertisement unit ranked.
Additionally, bid amounts
associated with advertisements are used to rank advertisements. For example,
an expected
value of each advertisement is determined based on the bid amount of each
advertisement
and a probability of a user accessing an advertisement, and the expected
values are used to
rank the advertisements. Based on the ranking of the positions and the ranking
of the
advertisement, a position in the scrollable advertisement unit is determined
for an
advertisement. For example, an advertisement having a location in the ranking
of
advertisements is determined to have a position in the scrollable
advertisement unit having a
corresponding location in the ranking of positions. The scrollable
advertisement unit is
generated where an advertisement is associated with its determined position
and subsequently
sent for presentation to a user.
[0008] In some embodiments, to maximize revenue while more accurately
charging
advertisers for advertisement impressions through a scrollable advertisement
unit, the online
system accounts for the probability that an advertisement will be viewed based
on the
advertisement's position in the scrollable advertisement unit. In some
embodiments, the
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online system also accounts for advertisement-specific properties affecting
the likelihood of
the advertisement being presented to a user. For example, the online system
accounts for
targeting criteria, content associated with a privacy setting of the user,
content associated
with a product or service previously purchased by the user, content associated
with a product
or service previously installed by the user, when determining if an
advertisement is presented
to a user.
[0009] The online system determines identifies positions of the scrollable
advertisement
unit associated with advertisements. A position may indicate a relative
distance between an
advertisement and the display area of the scrollable advertising unit, so
advertisements
associated with a higher position are not presented in the display area until
a larger number of
interactions with the scrollable advertisement unit are received. For example,
advertisements
are ranked and positions in the scrollable advertisement unit are ranked.
Based on the
advertisement ranking and the position ranking, advertisements are associated
with positions.
Based on bid amounts associated with the ranked advertisements, the
probability that
advertisements will be viewed based on the advertisement's position in the
scrollable
advertisement unit and/or advertisement characteristics affecting the
probability of an
advertisement being presented to a user, a price for presenting an
advertisement to a user via
the scrollable advertisement unit is calculated.
BRIEF DESCRIPTION OF THE DRAWINGS
[0010] FIG. 1 is a block diagram of a system environment in which an online
system
operates, in accordance with an embodiment of the invention.
[0011] FIG. 2 is a block diagram of an online system, in accordance with an
embodiment
of the invention.
[0012] FIG. 3 is an example of a scrollable advertisement unit, in
accordance with an
embodiment of the invention.
[0013] FIG. 4 is a flow chart of a method for assigning advertisements to
positions in a
scrollable advertisement unit and pricing advertisements in a scrollable
advertisement unit, in
accordance with an embodiment of the invention.
[0014] FIGS. 5A and 5B illustrate a method for assigning advertisements to
positions in a
scrollable advertisement unit, in accordance with an embodiment of the
invention.
[0015] The figures depict various embodiments of the present invention for
purposes of
illustration only. One skilled in the art will readily recognize from the
following discussion
that alternative embodiments of the structures and methods illustrated herein
may be
employed without departing from the principles of the invention described
herein.
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DETAILED DESCRIPTION
Overview
[0016] An online system presents a scrollable advertisement unit including
multiple
advertisements to a user. The scrollable advertisement unit includes a display
area presenting
one or more advertisements identified from multiple advertisements included in
the scrollable
advertisement unit. To determine a position of an advertisement in the
scrollable
advertisement unit, the online system determines values of various positions
in the scrollable
advertisement unit in which advertisements may be placed. For example, the
online system
determines a discount factor for each position in the scrollable advertisement
unit describing
a measure of the likelihood of a user interacting with an advertisement in
presented in each
position. The discount factors are used to select advertisements for inclusion
in the scrollable
advertisement unit. For purposes of illustration, scrollable advertisement
units are described
herein as including advertisements; however, in some embodiments, a scrollable
advertisement unit may include non-advertising content items, such as user
photographs,
stories describing actions performed by additional users connected to a user
viewing the
scrollable advertisement unit, actions suggested by the social networking
system for the user
viewing the scrollable advertisement unit, or any other suitable information.
[0017] The discount factor for a position is calculated using information
relating to the
likelihood that a user of the online system will interact with an
advertisement in the position.
For example, historical click-through rates (CTRs) of advertisements presented
in a position
are used to determine the position's discount factor. Based on the discount
factors, the
positions of the scrollable advertisement unit ranked.
[0018] Additionally, bid amounts associated with advertisements for
inclusion in the
scrollable advertisement unit are used to rank the advertisements. For
example, an expected
value of each advertisement is determined based on the bid amount of each
advertisement
and a probability of a user accessing an advertisement, and the expected
values are used to
rank the advertisements. Based on the ranking of the positions and the ranking
of the
advertisement, a position in the scrollable advertisement unit is determined
for an
advertisement. For example, an advertisement having a location in the ranking
of
advertisements is determined to have a position in the scrollable
advertisement unit having a
corresponding location in the ranking of positions.
[0019] In one embodiment, advertisements are ranked based on an
advertisement value
("ad value") calculated for various advertisements and based on a bid amount
associated with
an advertisement. To determine an ad value, an advertisement's bid amount bid
amount is
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discounted by a scaling factor, which is based on a probability that the
advertisement will be
presented in the display area based on its position in the scrollable
advertisement unit. The
scaling factor may also include a probability that the advertisement not be
presented based on
one or more characteristics of the advertisement. Ad values are computed for
various
advertisements for potential inclusion in the scrollable advertisement unit
and the
advertisements are ranked based on their corresponding ad values. Based on the
ranking of
the advertisements and the ranking of the positions of the scrollable
advertisement unit,
positions for advertisements in the scrollable advertisement unit are
determined.
[0020] Advertisers associated with advertisements included in the
scrollable
advertisement unit are charged a price that is based on the bid amounts and
scaling factors of
advertisements included in the scrollable advertisement unit. For example, an
advertiser is
assessed a fee that is based on the bid amount of an advertisement with a
lower ranking than
the advertiser's advertisement and a ratio of the scaling factor for the lower
ranked
advertisement's scaling factor and the scaling factor for the advertiser's
advertisement.
Additionally, the discount factor of a position in the scrollable
advertisement in which an
advertisement is presented may be used when determining the price charged to
an associated
advertiser.
System Architecture
[0021] FIG. 1 is a block diagram of a system environment 100 for an online
system 140.
The system environment 100 shown by FIG. 1 comprises one or more client
devices 110, a
network 120, one or more third-party systems 130, and the online system 140.
In alternative
configurations, different and/or additional components may be included in the
system
environment 100.
[0022] The client devices 110 are one or more computing devices capable of
receiving
user input as well as transmitting and/or receiving data via the network 120.
In one
embodiment, a client device 110 is a conventional computer system, such as a
desktop or a
laptop computer. Alternatively, a client device 110 may be a device having
computer
functionality, such as a personal digital assistant (PDA), a mobile telephone,
a smartphone or
another suitable device. A client device 110 is configured to communicate via
the network
120. In one embodiment, a client device 110 executes an application allowing a
user of the
client device 110 to interact with the online system 140. For example, a
client device 110
executes a browser application to enable interaction between the client device
110 and the
online system 140 via the network 120. In another embodiment, a client device
110 interacts
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with the online system 140 through an application programming interface (API)
running on a
native operating system of the client device 110, such as IOSO or ANDROIDTM.
[0023] The client devices 110 are configured to communicate via the network
120, which
may comprise any combination of local area and/or wide area networks, using
both wired
and/or wireless communication systems. In one embodiment, the network 120 uses
standard
communications technologies and/or protocols. For example, the network 120
includes
communication links using technologies such as Ethernet, 802.11, worldwide
interoperability
for microwave access (WiMAX), 3G, 4G, code division multiple access (CDMA),
digital
subscriber line (DSL), etc. Examples of networking protocols used for
communicating via
the network 120 include multiprotocol label switching (MPLS), transmission
control
protocol/Internet protocol (TCP/IP), hypertext transport protocol (HTTP),
simple mail
transfer protocol (SMTP), and file transfer protocol (FTP). Data exchanged
over the network
120 may be represented using any suitable format, such as hypertext markup
language
(HTML) or extensible markup language (XML). In some embodiments, all or some
of the
communication links of the network 120 may be encrypted using any suitable
technique or
techniques.
[0024] One or more third party systems 130 may be coupled to the network
120 for
communicating with the online system 140, which is further described below in
conjunction
with FIG. 2. For example, the online system 140 is a social networking system.
In one
embodiment, a third party system 130 is an application provider communicating
information
describing applications for execution by a client device 110 or communicating
data to client
devices 110 for use by an application executing on the client device. In other
embodiments, a
third party system 130 provides content or other information for presentation
via a client
device 110. A third party website 130 may also communicate information to the
online
system 140, such as advertisements, content, or information about an
application provided by
the third party website 130.
[0025] FIG. 2 is a block diagram of one embodiment of an architecture of
the online
system 140. The online system 140 shown in FIG. 2 includes a user profile
store 205, a
content store 210, an action logger 215, an action log 220, an edge store 225,
an interface
generator 230, an ad request store 235, a discount factor calculator 240, an
ad value
calculator 245, an ad selection module 250, a price calculator 255, and a web
server 260. In
other embodiments, the online system 140 may include additional, fewer, or
different
components for various applications. Conventional components such as network
interfaces,
security functions, load balancers, failover servers, management and network
operations
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consoles, and the like are not shown so as to not obscure the details of the
system
architecture.
[0026] Each user of the online system 140 is associated with a user
profile, which is
stored in the user profile store 205. A user profile includes declarative
information about the
user that was explicitly shared by the user and may also include profile
information inferred
by the online system 140. In one embodiment, a user profile includes multiple
data fields,
each describing one or more attributes of the corresponding social networking
system user.
Examples of information stored in a user profile include biographic,
demographic, and other
types of descriptive information, such as work experience, educational
history, gender,
hobbies or preferences, location and the like. A user profile may also store
other information
provided by the user, for example, images or videos. In certain embodiments,
images of
users may be tagged with information identifying the social networking system
users
displayed in an image. A user profile in the user profile store 205 may also
maintain
references to actions by the corresponding user performed on content items in
the content
store 210 and stored in the action log 220.
[0027] While user profiles in the user profile store 205 are frequently
associated with
individuals, allowing individuals to interact with each other via the online
system 140, user
profiles may also be stored for entities such as businesses or organizations.
This allows an
entity to establish a presence on the online system 140 for connecting and
exchanging content
with other online system users. The entity may post information about itself,
about its
products or provide other information to users of the online system using a
brand page
associated with the entity's user profile. Other users of the online system
may connect to the
brand page to receive information posted to the brand page or to receive
information from the
brand page. A user profile associated with the brand page may include
information about the
entity itself, providing users with background or informational data about the
entity.
[0028] The content store 210 stores objects that each represents various
types of content.
Examples of content represented by an object include a page post, a status
update, a
photograph, a video, a link, a shared content item, a gaming application
achievement, a
check-in event at a local business, a brand page, or any other type of
content. Online system
users may create objects stored by the content store 210, such as status
updates, photos
tagged by users to be associated with other objects in the online system 140,
events, groups
or applications. In some embodiments, objects are received from third-party
applications or
third-party applications separate from the online system 140. In one
embodiment, objects in
the content store 210 represent single pieces of content, or content "items."
Hence, social
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networking system users are encouraged to communicate with each other by
posting text and
content items of various types of media to the online system 140 through
various
communication channels. This increases the amount of interaction of users with
each other
and increases the frequency with which users interact within the online system
140.
[0029] The action logger 215 receives communications about user actions
internal to
and/or external to the online system 140, populating the action log 220 with
information
about user actions. Examples of actions include adding a connection to another
user, sending
a message to another user, uploading an image, reading a message from another
user, viewing
content associated with another user, and attending an event posted by another
user. In
addition, a number of actions may involve an object and one or more particular
users, so
these actions are associated with those users as well and stored in the action
log 220.
[0030] The action log 220 may be used by the online system 140 to track
user actions on
the online system 140, as well as actions on third party systems 130 that
communicate
information to the online system 140. Users may interact with various objects
on the online
system 140, and information describing these interactions is stored in the
action log 220.
Examples of interactions with objects include: commenting on posts, sharing
links,
checking-in to physical locations via a mobile device, accessing content
items, and any other
suitable interactions. Additional examples of interactions with objects on the
online system
140 that are included in the action log 220 include: commenting on a photo
album,
communicating with a user, establishing a connection with an object, joining
an event,
joining a group, creating an event, authorizing an application, using an
application,
expressing a preference for an object ("liking" the object), and engaging in a
transaction.
Additionally, the action log 220 may record a user's interactions with
advertisements on the
online system 140 as well as with other applications operating on the online
system 140. In
some embodiments, data from the action log 220 is used to infer interests or
preferences of a
user, augmenting the interests included in the user's user profile and
allowing a more
complete understanding of user preferences.
[0031] The action log 220 may also store user actions taken on a third
party system 130,
such as an external website, and communicated to the online system 140. For
example, an e-
commerce website may recognize a user of an online system 140 through a social
plug-in
enabling the e-commerce website to identify the user of the online system 140.
Because
users of the online system 140 are uniquely identifiable, e-commerce websites,
such as in the
preceding example, may communicate information about a user's actions outside
of the
online system 140 to the online system 140 for association with the user.
Hence, the action
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log 220 may record information about actions users perform on a third party
system 130,
including webpage viewing histories, advertisements that were engaged,
purchases made, and
other patterns from shopping and buying.
[0032] In one embodiment, the edge store 225 stores information describing
connections
between users and other objects on the online system 140 as edges. Some edges
may be
defined by users, allowing users to specify their relationships with other
users. For example,
users may generate edges with other users that parallel the users' real-life
relationships, such
as friends, co-workers, partners, and so forth. Other edges are generated when
users interact
with objects in the online system 140, such as expressing interest in a page
on the online
system 140, sharing a link with other users of the online system 140, and
commenting on
posts made by other users of the online system 140.
[0033] In one embodiment, an edge may include various features each
representing
characteristics of interactions between users, interactions between users and
objects, or
interactions between objects. For example, features included in an edge
describe rate of
interaction between two users, how recently two users have interacted with
each other, the
rate or amount of information retrieved by one user about an object, or the
number and types
of comments posted by a user about an object. The features may also represent
information
describing a particular object or user. For example, a feature may represent
the level of
interest that a user has in a particular topic, the rate at which the user
logs into the online
system 140, or information describing demographic information about a user.
Each feature
may be associated with a source object or user, a target object or user, and a
feature value. A
feature may be specified as an expression based on values describing the
source object or
user, the target object or user, or interactions between the source object or
user and target
object or user; hence, an edge may be represented as one or more feature
expressions.
[0034] The edge store 225 also stores information about edges, such as
affinity scores for
objects, interests, and other users. Affinity scores, or "affinities," may be
computed by the
online system 140 over time to approximate a user's interest in an object or
another user in
the online system 140 based on the actions performed by the user. A user's
affinity may be
computed by the online system 140 over time to approximate a user's affinity
for an object,
interest, and other users in the online system 140 based on the actions
performed by the user.
Computation of affinity is further described in U.S. Patent Application No.
12/978,265, filed
on December 23, 2010, U.S. Patent Application No. 13/690,254, filed on
November 30,
2012, U.S. Patent Application No. 13/689,969, filed on November 30, 2012, and
U.S. Patent
Application No. 13/690,088, filed on November 30, 2012, each of which is
hereby
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incorporated by reference in its entirety. Multiple interactions between a
user and a specific
object may be stored as a single edge in the edge store 225, in one
embodiment.
Alternatively, each interaction between a user and a specific object is stored
as a separate
edge. In some embodiments, connections between users may be stored in the user
profile
store 205, or the user profile store 205 may access the edge store 225 to
determine
connections between users.
[0035] The interface generator 230 generates one or more interfaces, such
as web pages,
including content from the online system 140. For example, interfaces
generated by the
interface generator 230 include images, video, profile information, or other
data. The
interface generator 230 also generates one or more interfaces allowing the
online system 140
to request information from users and for users to provide information to the
online system
140 via the client device 110 and the network 120. For example, the interface
generator 230
generates a form for a user to provide biographic information, such as the
user's age, for
inclusion in the user's user profile. When other users request a user's
profile page, the
interface generator 230 retrieves data from the profile store 205 and
generates a
representation of the information in the user profile for presentation by the
client device 110.
[0036] The interface generator 230 also generates a scrollable
advertisement unit having
a display area and including multiple advertisements. While described here
with reference to
advertisements, in some embodiments, a scrollable advertisement unit includes
additional
types of content items for presentation via the display area. Examples of
content items that
may be presented by a scrollable advertisement unit include user photographs,
stories
describing actions performed by additional users connected to a user viewing
the scrollable
advertisement unit, and actions suggested by the social networking system for
the user
viewing the scrollable advertisement unit. Hence, a scrollable advertisement
unit may
present advertisement, a combination of advertisements and other content
items, or other
content items to a user. The scrollable advertisement unit presents one or
more
advertisements included in the scrollable advertisement unit to a user via the
display area.
Additionally, a user may interact with the scrollable advertisement unit to
navigate among the
advertisements in the scrollable advertisement unit to view different
advertisements through
the display unit. For example, a user may provide horizontal or vertical input
to the display
area of the scrollable advertisement unit to view different advertisements in
the display area
of the scrollable advertisement unit. For example, the scrollable
advertisement unit presents
a single advertisement in the display area and presents additional
advertisements from the
scrollable advertisement unit in the display area with when the user hovers
over or clicks on a
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horizontal scroll tab, swipes a cursor from right to left, or provides another
suitable input.
Additionally, the interface generator 230 may replace at least a subset of the
advertisements
in a scrollable advertisement unit base on received user input. For example,
at least a subset
of advertisements in the scrollable advertisement unit are replaced with
advertisements
related to content in an advertisement with which a user has interacted.
Replacing
advertisements in a scrollable advertisement unit is further described below
in conjunction
with FIG. 3.
[0037] One or more advertisement requests ("ad requests") are stored in the
ad request
store 235. An advertisement request includes advertisement content and a bid
amount. The
advertisement content is text data, image data, audio data, video data, or any
other data
suitable for presentation to a user. In various embodiments, the advertisement
content also
includes a network address specifying a landing page to which a user is
directed when the
advertisement is accessed.
[0038] The bid amount is associated with an advertisement by an advertiser
and specifies
an amount of compensation the advertiser provides the online system 140 if the
advertisement is presented to a user or accessed by a user. In one embodiment,
the bid
amount is used by the online system to determine an expected value, such as
monetary
compensation, received by the online system 140 for presenting the
advertisement to a user,
if the advertisement receives a user interaction, or based on any other
suitable condition. For
example, the bid amount specifies a monetary amount that the online system 140
receives
from the advertiser if the advertisement is displayed and the expected value
is determined
based on the bid amount and a probability of a user accessing the displayed
advertisement.
[0039] Additionally, an advertisement request may include one or more
targeting criteria
specified by the advertiser. Targeting criteria included in an advertisement
request specify
one or more characteristics of users eligible to be presented with
advertisement content in the
advertisement request. For example, targeting criteria are used to identify
users having user
profile information, edges or actions satisfying at least one of the targeting
criteria. Hence,
targeting criteria allow an advertiser to identify users having specific
characteristics,
simplifying subsequent distribution of content to different users.
[0040] In one embodiment, targeting criteria may specify actions or types
of connections
between a user and another user or object of the online system 140. The
targeting criteria
may also specify interactions between a user and objects performed external to
the online
system 140, such as on a third party system 130. For example, targeting
criteria identifies
users that have taken a particular action, such as sending a message to
another user, using an
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application, joining a group, leaving a group, joining an event, generating an
event
description, purchasing or reviewing a product or service using an online
marketplace,
requesting information from a third-party system 130, or any other suitable
action. Including
actions in targeting criteria allows advertisers to further refine users
eligible to be presented
with content from an advertisement request. As another example, targeting
criteria identifies
users having a connection to another user or object or having a particular
type of connection
to another user or object.
[0041] The discount factor calculator 240 calculates a discount factor
associated with
each position in a scrollable advertisement unit. The discount factor may be
used to apply a
discount to the amount assessed to an advertiser by the online system 140 for
presenting an
advertisement in a particular position of the scrollable advertisement unit.
For example,
different positions in a scrollable advertisement unit have discount factors
of 0.25 and 0.45,
resulting in a discount of 75% and 55%, respectively, for advertisements
presented in the
positions. In the preceding example, the position with the discount factor of
0.45 is more
valuable than the position with the discount factor of 0.25. A position
discount is based on
information associated with each position indicating the likelihood of a user
interacting with
an advertisement presented in a position, such as historical click-through-
rate (CTR) of
advertisements presented in a position. For example, positions with higher
CTRs are more
favorable positions, so discount factors resulting in a higher price for
advertisements in those
positions are determined.
[0042] The ad value calculator 245 calculates an ad value for each
advertisement being
evaluated for inclusion in a scrollable advertisement unit. The ad value is
calculated based
on a bid amount from an ad request including an advertisement specifying an
amount an
advertiser will compensate the online system 140 for presentation of the
advertisement (cost
per impression (CPM)), for user interaction with the advertisement (cost per
click (CPC)), or
for any other suitable criteria. In calculating the ad value for an
advertisement, the bid
amount of the advertisement is discounted by a probability of a user viewing
the scrollable
advertisement unit viewing the advertisement if it is associated with a
position in the
scrollable advertisement unit. For example, the ad value calculator 245
calculates an ad
value for presenting an advertisement in various positions of a scrollable
advertisement unit
and uses the ad values for various positions when determining a position of
the advertisement
within the scrollable advertisement unit. The probability of presenting an
advertisement in
the display area of a scrollable advertisement unit decreases as the position
of the
advertisement is farther from the display area. For example, if an
advertisement is not
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presented via the display area until a user navigates through five positions
including
advertisements is less likely to be presented in the display area than an
advertisement that is
presented via the display area when a user navigates through two positions
including
advertisement.
[0043] In some embodiments, the ad value is also based on advertisement-
specific
properties that may affect presentation of an advertisement. For example, the
ad value is
based in part on properties of an advertisement that affect whether the
advertisement is
rejected when being rendered for presentation to a user. Further, a property
specific to an
advertisement, such as targeting criteria, may prevent the advertisement from
being displayed
to a user. For example, an advertisement for an application that can only be
run on an IOSO
operating system is not presented to a user viewing an advertisement through a
client device
110 executing an ANDROIDTM operating system. Additionally, privacy settings
selected by
a user may prevent presentation of an advertisement to a user. For example, an
advertisement
that requires access to information to which a user has restricted access will
not be displayed
to the user. Further, advertisements for products or services (e.g.,
applications) a user has
already installed or purchased may not be displayed to the user.
[0044] If content items other than advertisements are included in a
scrollable
advertisement unit, a content item value is determined based on
characteristics of the
advertisement. For example, stories or other data associated with users
connected to the
identified user are retrieved and analyzed to identify stories likely to be
relevant to the user
being presented with a scrollable advertisement unit. Based on various
criteria of the user
viewing a scrollable advertisement unit, characteristics of various stories,
and the probability
of a user viewing the scrollable advertisement unit viewing a story if it is
associated with a
position in the scrollable advertisement unit, scores for presenting stories
are determined and
to select stories for inclusion in a scrollable advertisement unit. Similarly,
scores for
presenting suggestions of actions, user photographs, or other content may be
determined by
the ad value calculator 245 based on characteristics of the content item and
the probability of
a user viewing the scrollable advertisement unit viewing a story if it is
associated with a
position in the scrollable advertisement unit. Examples of ranking or
selecting stories for
presentation to a user are disclosed in U.S. Patent Application No.
13/194,770, filed on July
29, 2011, and U.S. Patent Application No. 13/194,773, filed on July 29, 2011,
each of which
is hereby incorporated by reference in its entirety. An example of determining
a value for
presenting recommendations of actions to a social networking system is
disclosed by U.S.
Patent Application No. 13/549,080, filed on July 13, 2012, which is hereby
incorporated by
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reference in its entirety. As described above, a value for a content item are
modified by the
probability of a user viewing the scrollable advertisement unit viewing a
content item if it is
associated with a position in the scrollable advertisement unit to determine a
score for
presenting the content item in various positions of the scrollable
advertisement unit.
[0045] The ad selection module 250 accesses ad values from the ad value
calculator and
selects advertisements for inclusion in a scrollable advertisement unit. For
example, the ad
selection module 250 ranks advertisements based on their corresponding ad
values and
selects advertisements based on the ranking (e.g., through an advertisement
auction). In one
embodiment, the ad selection module 250 selects advertisements having at least
a threshold
ad value or having at least a threshold ranking. The number of selected
advertisements may
be based on the number of positions available in the scrollable advertisement
unit. For
example, if a scrollable advertisement unit includes positions for ten
advertisements, the ten
highest ranked advertisements are selected for inclusion in the scrollable
advertisement unit.
Additionally, criteria in addition to the advertisement ranking may be used to
select
advertisements for inclusion in a scrollable advertisement unit. Examples of
criteria of an
advertisement affecting advertisement selection include: the advertisement
content, the
identity of the entity requesting the advertisements, and the pricing scheme
for the
advertisements (e.g., CPC or CPM).
[0046] The price calculator 255 calculates the price of advertisements
selected for
inclusion in a scrollable advertisement unit. In various embodiments, the
price of an
advertisement included in the scrollable advertisement unit is based on the
bid amounts and
scaling factors of other advertisements included in the scrollable
advertisement unit. For
example, an advertisement's fee is based on the bid amount of an advertisement
with a lower
ranking than the advertiser's advertisement and a ratio of the scaling factor
for the lower
ranked advertisement's scaling factor and the scaling factor for the
advertiser's
advertisement. Additionally, the discount factor of a position in the
scrollable advertisement
in which an advertisement is presented may be used when determining the price
charged to
an associated advertiser. Pricing of advertisements in a scrollable
advertisement unit is
further described below in conjunction with FIGS. 4-5B.
[0047] The web server 260 links the online system 140 via the network 120
to the one or
more client devices 110, as well as to the one or more third party systems
130. The web
server 260 serves web pages, as well as other web-related content, such as
JAVA ,
FLASH , XML and so forth. The web server 260 may receive and route messages
between
the online system 140 and the client device 110, for example, instant
messages, queued
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messages (e.g., email), text messages, short message service (SMS) messages,
or messages
sent using any other suitable messaging technique. A user may send a request
to the web
server 260 to upload information (e.g., images or videos) that is stored in
the content store
210. Additionally, the web server 260 may provide application programming
interface (API)
functionality to send data directly to native client device operating systems,
such as IOSO,
ANDROIDTM, WEBOSO or RIMED.
Scrollable Advertisement Unit
[0048] FIG. 3 is an example of one embodiment of a scrollable advertisement
unit. As
described above, a scrollable advertisement unit 300 presents an advertisement
330a in a
display area 320 when the scrollable advertisement unit 400 is rendered by a
client device
110. A user may interact with the scrollable advertisement unit 300 to
navigate among the
advertisements 330b, 330c included in the scroll in the scrollable
advertisement unit so one
or more different advertisements 330b, 330c are presented in the display area
320. For
example, a user may provide horizontal or vertical input to the display area
320 of the
scrollable advertisement unit 300 to view different advertisements 330a, 330b
in the display
area 320 of the scrollable advertisement 300. In the example of FIG. 3, a user
may navigate
vertically or horizontally through advertisements in the scrollable
advertisement unit 300 to
modify what is presented via the display are 320. In one embodiment, a user
may provide
horizontal or vertical input to the display area of the scrollable
advertisement unit to view
different advertisements in the display area of the scrollable advertisement
unit. For
example, the scrollable advertisement unit presents a single advertisement in
the display area
and presents additional advertisements from the scrollable advertisement unit
in the display
area with when the user hovers over or clicks on a horizontal scroll tab,
swipes a cursor from
right to left, or provides another suitable input. To modify the advertisement
included in the
scrollable advertisement unit presented by the display area 320 in the example
of FIG. 3, a
user interacts with a scroll bar 310 in the display area 330, provides a
gesture via the display
area 320, moves a cursor in the display area 320, or performs any suitable
interaction.
[0049] A scrollable advertisement unit 300 may have one or more features
for increasing
the likelihood of advertisements 330 in the scrollable advertisement unit 300
being credited
with impressions. For example, one or more scrollable advertisement units 300
displayed to
a user of a social networking system user in a newsfeed describing actions of
additional
users, advertisements 330 in the scrollable advertisement units 300 may
include stories
describing actions of social networking system users that an advertiser
compensates the
social networking system for presenting stories describing actions of users
connected to the
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user via the social networking system. Advertisements in a scrollable
advertisement unit may
also be selected based on information associated with the user by the online
system (e.g., user
profile information, actions performed by the user, connections between the
user and objects
or other users).
[0050]
Additionally, when a user views or interacts with an advertisement 330a
presented
in the display area 320, the scrollable advertisement unit 300 may
automatically present an
additional advertisement 330b in the display area 320. For example, if a user
accesses the
advertisement 330a in the display area 320, the online system 140 determines
that the user
has viewed the advertisement 330a. Accordingly, the online system 140 loads a
tracking
mechanism associated with the advertisement 330a, credits an impression to the
advertisement 330a, and presents an additional advertisement 330b from the
scrollable
advertisement unit 300 in the display area 320. Similarly, another
advertisement 330c may
be presented in the display area 320 if the additional advertisement 330b is
credited with an
impression. Further, at least a subset of the advertisements 330 in a
scrollable advertisement
unit 300 may be replaced with alternative advertisements for content related
to an
advertisement 330 in the scrollable advertisement unit 300 with which a user
has interacted.
For example, if a user indicates it likes an advertisement 330a for a page
presented in the
display area 320, the online system 140 may replace one or more advertisements
330 in the
scrollable advertisement unit 300 with other advertisements related to the
page, such as
advertisements for posts on the page.
Advertisement Position Assignment and Pricing
[0051] FIG. 4
is a flow chart of one embodiment of a method for determining positions of
advertisements in a scrollable advertisement unit 300 and pricing
advertisements included in
a scrollable advertisement unit 300. The online system 140 receives 400
information about
advertisements, such as ad requests, from one or more advertisers 400. As
described above
in conjunction with FIG. 2, ad requests include bid amounts, advertisement
content, targeting
criteria, display times, or any other suitable data describing an
advertisement. When the
online system 140 identifies an opportunity to serve one or more
advertisements to a user of
an online system using a scrollable advertisement unit, the online system 140
retrieves 410
information describing user interaction with advertisements presented in
positions of a
scrollable advertisement unit 300. For example, historical click-through-rates
for
advertisements presented in various positions of a scrollable advertisement
unit 300 is
retrieved 410.
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[0052] Based on the position value information, the discount factor
calculator 240
calculates 420 discount factors for various the positions in the scrollable
advertisement unit
300. As described above in conjunction with FIG. 2, a discount factor
associated with a
position provides a measure of the predicted performance of an advertisement
in the position.
Positions in the scrollable advertisement unit 300 less likely to result in
presentation of an
advertisement to a user are given larger discounts. For example, if a
scrollable advertisement
unit 300 allows a user to navigate through advertisements in a single axis,
the first position
receives no discount (e.g., a discount factor of 1.0) because of the high
likelihood of a user
viewing the advertisement while the last position (i.e., the position
requiring the user to
navigate the furthest to view) receives the largest discount (e.g., a discount
factor of 0.05).
Discount factors for positions may be stored by the online system 140 and
subsequently
accessed to prevent recalculation of the discount factors for various
presentation of the
scrollable advertisement unit 300. For example, discount factors associated
with positions in
a scrollable advertisement unit 300 with 10 positions for which a user
navigates horizontally
through advertisements remains constant for similar scrollable advertisement
units 300.
[0053] Based on the discount factors, the online system 140 ranks 430 the
positions in the
scrollable advertisement unit 300. In one embodiment, the positions are ranked
430 so the
position providing the smallest discount (i.e., the highest discount factor)
has the highest
ranking. In the example of FIG. 5A, the discount factor associated with
position 1.1 (i.e., row
1, column 1 in a scrollable advertisement unit 300 allowing a user to scroll
horizontally and
vertically) is 1.0, so position 1.1 has the highest ranking, and the discount
factor associated
with position 2.1 is 0.45, so position 2.1 has the second-highest ranking. As
shown in the
example of FIG. 5B, the positions are ranked in descending order by discount
factor.
[0054] When the online system 140 receives a request to present a
scrollable
advertisement unit 300 to a user, the online system 140 selects candidate
advertisements
stored in the ad request store 235. For example, the online system 140
identifies candidate
advertisements associated with ad requests having at least one targeting
criteria satisfied by
characteristics of the user to be presented with the scrollable advertisement
unit. The ad
value calculator 245 may modify an advertisement's bid amount by a scaling
factor to
calculate 440 an ad value for the advertisement. For example, the scaling
factor is bases on a
probability of the advertisement being presented to the user if associated
with a particular
position of the scrollable advertisement unit 300. For example, an
advertisement's ad value
is the product of the advertisement's bid amount and its scaling factor. In
some
embodiments, an advertisement's scaling factor is also based on the
probability of the
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advertisement being presented to the user based on advertisement
characteristics (e.g.,
characteristics that prevent presentation of the advertisement) may be used
when calculating
440 an ad's ad value. For example, an ad value of an advertisement may be the
product of
the advertisement's bid amount, probability of being presented to the user
based on
advertisement characteristics, and probability of being presented to the user
if associated with
a particular position in the scrollable advertisement unit 300. In one
embodiment, if an
advertisement's bid amount is specified using a cost-per-click basis, the bid
amount is
converted into a cost-per-impression value; for example, a cost-per-click bid
amount is
multiplied by the click-through rate for the advertisement to determine a cost-
per-impression
bid amount.
[0055] Based on the ad values, the candidate advertisements are ranked 450,
and
advertisements are selected 460 from the candidate advertisements based at
least in part on
the ranking. For example, the highest ranked advertisements are selected 460
for
presentation 460 via a scrollable advertisement unit 300. As another example,
advertisements having at least a threshold location in the ranking are
selected 460 for
inclusion in the scrollable advertisement unit.
[0056] The positions of the selected advertisements in the scrollable
advertisement unit
are determined 470 based on the ranking of the positions of the scrollable
advertisement unit
300 based on their discount factors and the ranking of the one or more
advertisements in the
plurality of advertisements based on their ad values. In the example of FIGS.
5A and 5B, the
online system 140 determines 470 the position of advertisements in a
scrollable
advertisement unit by associating an advertisement with a position having a
location in the
ranking of positions matching the location of the advertisement in the ranking
of
advertisements. In the example of FIGS. 5A and 5B, the advertisement with the
highest ad
value is assigned to position 1.1, which is the highest ranking position
because it has the
highest discount factor of 1Ø Similarly in FIGS. 5A and 5B, the
advertisement with the
second highest ad value is assigned to position 2.1 because position 2.1 has
the second
highest discount factor of 0.45, etc. In one embodiment, advertisements are
mapped to
positions until an advertisement is associated with each position in the
scrollable
advertisement unit 300. Alternatively, the advertisement ranking determines
the order in
which advertisements are displayed to a user regardless of which direction a
user navigates
through the scrollable advertisement unit. For example, in a scrollable
advertisement unit
300 that allows a user to scroll horizontally and vertically, the
advertisements may be
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presented to the user in the order they are ranked regardless of the direction
in which the user
scrolls.
[0057] Advertisements having bid amounts specified using a cost-per-click
amount may
be placed in positions with lower discount factors (e.g., areas outside the
display area 320 of
a scrollable advertisement unit 300). The probability that a user accesses an
advertisement
increases in proportion to the amount of navigation needed to present the
advertisement in the
display area 320 due to a self-selecting bias (i.e., users willing to scroll
to view additional
advertisements are more likely to be interested in those additional
advertisements and access
the additional advertisements). Because of the cost-per-click pricing, the
lower likelihood of
the advertisement being presented is offset by the increased likelihood of the
user accessing
the advertisement once it is presented.
[0058] Based in part on the bid amounts of the advertisements selected for
inclusion in
the scrollable advertisement unit, the price for each advertisement included
in the scrollable
advertisement unit 300 is determined 480 by the price calculator 255. The
price of an
advertisement may be based on the bid amount of an additional advertisement
having a lower
ranking in the advertisement ranking and scaling factors associated with the
advertisement
and with the additional advertisement. For example, if advertisement B1 is the
selected
advertisement and advertisement B2 has the next-highest location in the
ranking of
advertisements than advertisement Bl, the price for presenting advertisement
B1 is:
(BidB2)[(Scaling Factor)B2/(Scaling Factor)m]
where BidB2 is the bid amount for advertisement B2 (specified on a cost-per-
impression
basis); Scaling FactorB2 is the scaling factor for advertisement B2, which may
be based on the
probability of advertisement B2 being presented to the user based on
characteristics of
advertisement B2 as well as the probability of advertisement B2 being
presented to the user if
associated with a particular position in the scrollable advertisement unit
300; Scaling
Factorm is the scaling factor for advertisement Bl, which may be based on the
probability of
advertisement B1 being presented to the user based on characteristics of
advertisement B1 as
well as the probability of advertisement B1 being presented to the user if
associated with a
particular position in the scrollable advertisement unit 300. In one
embodiment, the price for
presenting advertisement B1 may also be modified by the discount factor for
advertisement
Bl, given its position in the scrollable advertisement unit. For example, the
discount factor
for presenting advertisement B1 based on its position in the scrollable
advertisement unit 300
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is multiplied by the price calculated above. As described above, if an
advertisement's bid
amount is specified in a cost-per-click value, the bid amount is converted to
a cost-per-
impression value.
Summary
[0059] The foregoing description of the embodiments of the invention has
been presented
for the purpose of illustration; it is not intended to be exhaustive or to
limit the invention to
the precise forms disclosed. Persons skilled in the relevant art can
appreciate that many
modifications and variations are possible in light of the above disclosure.
[0060] Some portions of this description describe the embodiments of the
invention in
terms of algorithms and symbolic representations of operations on information.
These
algorithmic descriptions and representations are commonly used by those
skilled in the data
processing arts to convey the substance of their work effectively to others
skilled in the art.
These operations, while described functionally, computationally, or logically,
are understood
to be implemented by computer programs or equivalent electrical circuits,
microcode, or the
like. Furthermore, it has also proven convenient at times, to refer to these
arrangements of
operations as modules, without loss of generality. The described operations
and their
associated modules may be embodied in software, firmware, hardware, or any
combinations
thereof
[0061] Any of the steps, operations, or processes described herein may be
performed or
implemented with one or more hardware or software modules, alone or in
combination with
other devices. In one embodiment, a software module is implemented with a
computer
program product comprising a computer-readable medium containing computer
program
code, which can be executed by a computer processor for performing any or all
of the steps,
operations, or processes described.
[0062] Embodiments of the invention may also relate to an apparatus for
performing the
operations herein. This apparatus may be specially constructed for the
required purposes,
and/or it may comprise a general-purpose computing device selectively
activated or
reconfigured by a computer program stored in the computer. Such a computer
program may
be stored in a non-transitory, tangible computer readable storage medium, or
any type of
media suitable for storing electronic instructions, which may be coupled to a
computer
system bus. Furthermore, any computing systems referred to in the
specification may include
a single processor or may be architectures employing multiple processor
designs for
increased computing capability.
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[0063] Embodiments of the invention may also relate to a product that is
produced by a
computing process described herein. Such a product may comprise information
resulting
from a computing process, where the information is stored on a non-transitory,
tangible
computer readable storage medium and may include any embodiment of a computer
program
product or other data combination described herein.
[0064] Finally, the language used in the specification has been principally
selected for
readability and instructional purposes, and it may not have been selected to
delineate or
circumscribe the inventive subject matter. It is therefore intended that the
scope of the
invention be limited not by this detailed description, but rather by any
claims that issue on an
application based hereon. Accordingly, the disclosure of the embodiments of
the invention is
intended to be illustrative, but not limiting, of the scope of the invention,
which is set forth in
the following claims.
-21-

Dessin représentatif
Une figure unique qui représente un dessin illustrant l'invention.
États administratifs

2024-08-01 : Dans le cadre de la transition vers les Brevets de nouvelle génération (BNG), la base de données sur les brevets canadiens (BDBC) contient désormais un Historique d'événement plus détaillé, qui reproduit le Journal des événements de notre nouvelle solution interne.

Veuillez noter que les événements débutant par « Inactive : » se réfèrent à des événements qui ne sont plus utilisés dans notre nouvelle solution interne.

Pour une meilleure compréhension de l'état de la demande ou brevet qui figure sur cette page, la rubrique Mise en garde , et les descriptions de Brevet , Historique d'événement , Taxes périodiques et Historique des paiements devraient être consultées.

Historique d'événement

Description Date
Inactive : CIB expirée 2023-01-01
Demande non rétablie avant l'échéance 2021-12-30
Inactive : Morte - Aucun agent de brevets nommé 2021-12-30
Réputée abandonnée - omission de répondre à un avis sur les taxes pour le maintien en état 2021-11-30
Lettre envoyée 2021-05-31
Réputée abandonnée - omission de répondre à un avis exigeant la nomination d'un agent de brevets 2020-12-30
Inactive : Approuvée aux fins d'acceptation (AFA) 2020-12-04
Représentant commun nommé 2020-11-07
Lettre envoyée 2020-09-30
Exigences relatives à la révocation de la nomination d'un agent - jugée conforme 2020-09-22
Demande visant la révocation de la nomination d'un agent 2020-07-13
Inactive : COVID 19 - Délai prolongé 2020-05-28
Inactive : COVID 19 - Délai prolongé 2020-05-14
Modification reçue - modification volontaire 2020-05-13
Rapport d'examen 2020-01-23
Inactive : Rapport - Aucun CQ 2020-01-16
Représentant commun nommé 2019-10-30
Représentant commun nommé 2019-10-30
Lettre envoyée 2019-08-08
Lettre envoyée 2019-08-01
Modification reçue - modification volontaire 2019-07-16
Exigences de rétablissement - réputé conforme pour tous les motifs d'abandon 2019-07-16
Requête en rétablissement reçue 2019-07-16
Demande de remboursement reçue 2019-06-27
Demande de remboursement reçue 2019-06-19
Inactive : Lettre officielle 2019-06-13
Inactive : Lettre officielle 2019-06-13
Inactive : Lettre officielle 2019-06-05
Modification reçue - modification volontaire 2019-05-27
Requête en rétablissement reçue 2019-05-27
Requête visant le maintien en état reçue 2019-05-21
Inactive : Abandon. - Aucune rép dem par.30(2) Règles 2019-04-25
Demande visant la révocation de la nomination d'un agent 2019-04-25
Exigences relatives à la révocation de la nomination d'un agent - jugée conforme 2019-04-25
Inactive : Dem. de l'examinateur par.30(2) Règles 2018-10-25
Inactive : Rapport - Aucun CQ 2018-10-23
Modification reçue - modification volontaire 2018-05-03
Requête visant le maintien en état reçue 2018-05-03
Modification reçue - modification volontaire 2018-04-20
Inactive : Dem. de l'examinateur par.30(2) Règles 2017-11-06
Inactive : Rapport - Aucun CQ 2017-11-01
Modification reçue - modification volontaire 2017-09-18
Modification reçue - modification volontaire 2017-06-08
Modification reçue - modification volontaire 2017-06-08
Inactive : Dem. de l'examinateur par.30(2) Règles 2016-12-09
Inactive : Rapport - Aucun CQ 2016-12-09
Inactive : Lettre officielle 2016-08-17
Inactive : Lettre officielle 2016-08-17
Exigences relatives à la révocation de la nomination d'un agent - jugée conforme 2016-06-16
Demande visant la révocation de la nomination d'un agent 2016-06-16
Inactive : Lettre officielle 2016-05-30
Demande visant la révocation de la nomination d'un agent 2016-05-26
Inactive : CIB en 1re position 2015-11-23
Lettre envoyée 2015-11-23
Lettre envoyée 2015-11-23
Lettre envoyée 2015-11-23
Inactive : Acc. récept. de l'entrée phase nat. - RE 2015-11-23
Inactive : CIB attribuée 2015-11-23
Demande reçue - PCT 2015-11-23
Exigences pour l'entrée dans la phase nationale - jugée conforme 2015-11-12
Exigences pour une requête d'examen - jugée conforme 2015-11-12
Toutes les exigences pour l'examen - jugée conforme 2015-11-12
Demande publiée (accessible au public) 2014-12-18

Historique d'abandonnement

Date d'abandonnement Raison Date de rétablissement
2021-11-30
2019-07-16
2019-05-27

Taxes périodiques

Le dernier paiement a été reçu le 2020-05-19

Avis : Si le paiement en totalité n'a pas été reçu au plus tard à la date indiquée, une taxe supplémentaire peut être imposée, soit une des taxes suivantes :

  • taxe de rétablissement ;
  • taxe pour paiement en souffrance ; ou
  • taxe additionnelle pour le renversement d'une péremption réputée.

Veuillez vous référer à la page web des taxes sur les brevets de l'OPIC pour voir tous les montants actuels des taxes.

Historique des taxes

Type de taxes Anniversaire Échéance Date payée
Enregistrement d'un document 2015-11-12
Taxe nationale de base - générale 2015-11-12
Requête d'examen - générale 2015-11-12
TM (demande, 2e anniv.) - générale 02 2016-05-30 2016-05-02
TM (demande, 3e anniv.) - générale 03 2017-05-30 2017-05-03
TM (demande, 4e anniv.) - générale 04 2018-05-30 2018-05-03
TM (demande, 5e anniv.) - générale 05 2019-05-30 2019-05-30
Rétablissement 2019-07-16
TM (demande, 6e anniv.) - générale 06 2020-06-01 2020-05-19
Titulaires au dossier

Les titulaires actuels et antérieures au dossier sont affichés en ordre alphabétique.

Titulaires actuels au dossier
FACEBOOK, INC.
Titulaires antérieures au dossier
BRIAN STEADMAN
CHINMAY DEEPAK KARANDE
DAVID MASON
JEFFREY A. KANTER
QIAO LIAN
XINPAN XIAO
YI TANG
Les propriétaires antérieurs qui ne figurent pas dans la liste des « Propriétaires au dossier » apparaîtront dans d'autres documents au dossier.
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Description du
Document 
Date
(aaaa-mm-jj) 
Nombre de pages   Taille de l'image (Ko) 
Revendications 2020-05-13 7 223
Description 2015-11-12 21 1 258
Dessins 2015-11-12 4 136
Revendications 2015-11-12 8 396
Dessin représentatif 2015-11-12 1 21
Abrégé 2015-11-12 2 77
Page couverture 2016-02-05 2 51
Description 2017-06-08 21 1 048
Revendications 2017-06-08 5 172
Revendications 2018-05-03 7 240
Description 2020-05-13 23 1 145
Accusé de réception de la requête d'examen 2015-11-23 1 188
Avis d'entree dans la phase nationale 2015-11-23 1 231
Courtoisie - Certificat d'enregistrement (document(s) connexe(s)) 2015-11-23 1 126
Courtoisie - Certificat d'enregistrement (document(s) connexe(s)) 2015-11-23 1 126
Rappel de taxe de maintien due 2016-02-02 1 110
Courtoisie - Lettre d'abandon (R30(2)) 2019-06-06 1 167
Avis de retablissement 2019-08-01 1 168
Avis du commissaire: Nomination d'un agent de brevets requise 2020-09-30 1 439
Courtoisie - Lettre d'abandon (nomination d’un agent de brevets) 2021-02-24 1 551
Avis du commissaire - non-paiement de la taxe de maintien en état pour une demande de brevet 2021-07-12 1 563
Courtoisie - Lettre d'abandon (taxe de maintien en état) 2021-12-29 1 551
Demande de l'examinateur 2018-10-25 6 375
Rapport de recherche internationale 2015-11-12 17 1 063
Demande d'entrée en phase nationale 2015-11-12 16 2 625
Poursuite - Modification 2015-11-13 1 49
Courtoisie - Lettre du bureau 2016-05-30 2 50
Requête de nomination d'un agent 2016-05-30 1 36
Correspondance 2016-05-26 16 886
Correspondance 2016-06-16 16 814
Courtoisie - Lettre du bureau 2016-08-17 15 733
Courtoisie - Lettre du bureau 2016-08-17 15 732
Demande de l'examinateur 2016-12-09 4 211
Modification / réponse à un rapport 2017-06-08 28 1 398
Modification / réponse à un rapport 2017-06-08 1 27
Modification / réponse à un rapport 2017-09-18 1 29
Demande de l'examinateur 2017-11-06 6 310
Modification / réponse à un rapport 2018-04-20 2 36
Paiement de taxe périodique 2018-05-03 1 41
Modification / réponse à un rapport 2018-05-03 15 596
Paiement de taxe périodique 2019-05-21 1 42
Rétablissement / Modification / réponse à un rapport 2019-05-27 13 442
Courtoisie - Lettre du bureau 2019-06-05 1 30
Courtoisie - Lettre du bureau 2019-06-13 1 55
Courtoisie - Lettre du bureau 2019-06-13 1 47
Remboursement 2019-06-19 2 78
Remboursement 2019-06-27 1 28
Rétablissement / Modification / réponse à un rapport 2019-07-16 6 241
Courtoisie - Accusé de réception de remboursement 2019-08-08 1 47
Demande de l'examinateur 2020-01-23 6 306
Modification / réponse à un rapport 2020-05-13 16 580