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公开(公告)号：US20190139094A1
公开(公告)日：2019-05-09
申请号：US15805140
申请日：2017-11-07
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti , David Wood Kaufman , Aram Grigoryan
IPC: G06Q30/02
Abstract: An online system receives information describing actions performed by individuals and identifies online system users included among these individuals. Based on the actions they have performed, the users are assigned to sequentially ordered stages of a classification scheme associated with a content-providing user of the online system. The online system receives content items associated with different stages from the content-providing user, in which content items associated with a stage may be presented to users assigned to the stage. The online system may determine an expected return value associated with each stage and an expected advancement value associated with advancement of users assigned to each stage to succeeding stages of the classification scheme. The online system also may determine a value associated with a content item based on a comprehensive value received from the content-providing user, the expected advancement value, and a predicted likelihood of user advancement to a succeeding stage.
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公开(公告)号：US20170186031A1
公开(公告)日：2017-06-29
申请号：US14983432
申请日：2015-12-29
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti , Leon R. Cho , Yuval Israel Oren , Ying Qin
IPC: G06Q30/02
CPC classification number: G06Q30/0246 , G06Q30/0244 , G06Q30/0277 , G06Q50/01
Abstract: An online advertising system evaluates advertising opportunities for online advertising publishers. The online advertising system tracks online users via various tracking methods to receive advertising data and user information for the online users. The online advertising system identifies and segments the online users based on segmenting criteria that are associated with some interest topics (e.g., demographical information). The system calculates projected advertising revenue for each audience segment and generates an inventory optimization dashboard based on the calculated revenue. The inventory optimization dashboard helps the advertising publishers better understand the online advertising traffic and better optimize their advertising inventory. For example, the advertising publishers may advertise to specific audience segments which tend to purchase the advertised products or services.
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公开(公告)号：US20170364958A1
公开(公告)日：2017-12-21
申请号：US15184975
申请日：2016-06-16
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti
CPC classification number: G06Q30/0269 , G06Q30/0275 , G06Q50/01
Abstract: An online system determines the score for each additional user based on the measure of similarity between the additional user and a group of seed users. The online system divides the additional users into one or more segments according to their respective scores, and assigns a bid amount for each segment. The online system presents sponsored content to the additional users according to the corresponding bid amounts, and for each of the additional users in each segment that is presented with the sponsored content, the online system identifies a value generated by the additional user due to being presented with the sponsored content. The online system uses the identified values of the additional users for each segment to determine an updated configuration of assigned bid amounts for the segments that is predicted to increase a return on investment and assigns the updated bid amounts for each segment.
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公开(公告)号：US10963921B2
公开(公告)日：2021-03-30
申请号：US15805140
申请日：2017-11-07
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti , David Wood Kaufman , Aram Grigoryan
Abstract: An online system receives information describing actions performed by individuals and identifies online system users included among these individuals. Based on the actions they have performed, the users are assigned to sequentially ordered stages of a classification scheme associated with a content-providing user of the online system. The online system receives content items associated with different stages from the content-providing user, in which content items associated with a stage may be presented to users assigned to the stage. The online system may determine an expected return value associated with each stage and an expected advancement value associated with advancement of users assigned to each stage to succeeding stages of the classification scheme. The online system also may determine a value associated with a content item based on a comprehensive value received from the content-providing user, the expected advancement value, and a predicted likelihood of user advancement to a succeeding stage.
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公开(公告)号：US20150332336A1
公开(公告)日：2015-11-19
申请号：US14290355
申请日：2014-05-29
Applicant: Facebook, Inc.
Inventor： Sue Ann Hong , Gang Wu , Rituraj Kirti , Vladislav Isenbaev , Boris Pierre Arnoux
Abstract: A social networking system selects advertisements for a user based on user characteristics of the user in response to a request to present an advertisement to the user. To increase the number of advertisements eligible for presentation to the user, the social networking system associates the user with one or more cluster groups associated with targeting criteria that are not satisfied by the user's characteristics. To determine whether to associate a user with a cluster group, the social networking system determines a cluster score for the cluster group based on the user's characteristics. If the cluster score equals or exceeds a cluster cutoff score for the cluster group, the user is associated with the cluster group. The cluster cutoff score may be determined based on an estimated distribution of users so that a target number or percentage of users have cluster scores less than the cluster cutoff score.
Abstract translation: 响应于向用户呈现广告的请求，社交网络系统基于用户的用户特征为用户选择广告。 为了增加有资格呈现给用户的广告的数量，社交网络系统将用户与与用户的特征不满足的定位标准相关联的一个或多个集群组相关联。 要确定是否将用户与群集组关联，社交网络系统将根据用户的特征确定群集组的群集分数。 如果集群分数等于或超过集群组的集群截断分数，则用户与集群组关联。 可以基于用户的估计分布来确定群集截断分数，使得目标数量或用户百分比具有小于群集截断分数的聚类分数。
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Patent Agency Ranking
公开(公告)号：US10509816B2
公开(公告)日：2019-12-17
申请号：US14290355
申请日：2014-05-29
Applicant: Facebook, Inc.
Inventor： Sue Ann Hong , Gang Wu , Rituraj Kirti , Vladislav Isenbaev , Boris Pierre Arnoux
IPC: G06Q30/02 , G06Q50/00 , G06F17/30 , G06F16/435 , G06F16/28 , G06F16/2457
Abstract: A social networking system selects advertisements for a user based on user characteristics of the user in response to a request to present an advertisement to the user. To increase the number of advertisements eligible for presentation to the user, the social networking system associates the user with one or more cluster groups associated with targeting criteria that are not satisfied by the user's characteristics. To determine whether to associate a user with a cluster group, the social networking system determines a cluster score for the cluster group based on the user's characteristics. If the cluster score equals or exceeds a cluster cutoff score for the cluster group, the user is associated with the cluster group. The cluster cutoff score may be determined based on an estimated distribution of users so that a target number or percentage of users have cluster scores less than the cluster cutoff score.
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公开(公告)号：US10339129B2
公开(公告)日：2019-07-02
申请号：US15215209
申请日：2016-07-20
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti
IPC: G06F16/00 , G06F16/23 , G06F16/9535 , G06F16/9035 , G06F16/35 , H04L29/08
Abstract: An online system receives third party user identifying information. The online system accesses accuracy measures associated with each of a plurality of the user identifying information sets. The online system identifies high accuracy sets of user identifying information that include the one or more types of user identifying information included in the received types of the third party user identifying information. The online system identifies as high confidence matches those local users of the online system having the high accuracy sets of user identifying information that match a corresponding set of third party user identifying information for the plurality of third party users. The online system also identifies as low confidence matches, and identifies as similar matches those of the low confidence matches that have a measure of similarity to one or more of the high confidence matches that is beyond a threshold measure of similarity.
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8.发明申请公开(公告)号：US20180025045A1
公开(公告)日：2018-01-25
申请号：US15215209
申请日：2016-07-20
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti
CPC classification number: G06F16/2365 , G06F16/35 , G06F16/9035 , G06F16/9535 , H04L67/22
Abstract: An online system receives third party user identifying information. The online system accesses accuracy measures associated with each of a plurality of the user identifying information sets. The online system identifies high accuracy sets of user identifying information that include the one or more types of user identifying information included in the received types of the third party user identifying information. The online system identifies as high confidence matches those local users of the online system having the high accuracy sets of user identifying information that match a corresponding set of third party user identifying information for the plurality of third party users. The online system also identifies as low confidence matches, and identifies as similar matches those of the low confidence matches that have a measure of similarity to one or more of the high confidence matches that is beyond a threshold measure of similarity.
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9.发明申请公开(公告)号：US20160232575A1
公开(公告)日：2016-08-11
申请号：US14616543
申请日：2015-02-06
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti , Sue Ann Hong , Leon R. Cho
CPC classification number: G06Q30/0269 , G06Q30/0275 , G06Q50/01
Abstract: A social networking system receives an advertisement request including multiple sets of targeting criteria. To increase the number of users eligible to be presented with the advertisement request, the social networking system generates a cluster group associated with each set of targeting criteria. A cluster group associated with a set of targeting criteria includes users satisfying the targeting criteria and additional users that do not satisfy the targeting criteria. The social networking system determines an amount of overlap between the cluster groups. If the amount of overlap equals or exceeds a threshold value, the social networking system combines the cluster groups to generate an overall group associated with the advertisement request.
Abstract translation: 社交网络系统接收包括多组目标标准的广告请求。 为了增加有资格获得广告请求的用户数量，社交网络系统生成与每组目标标准相关联的群集组。 与一组定位条件相关联的群集组包括满足定位条件的用户和不满足定位条件的其他用户。 社交网络系统确定集群组之间的重叠量。 如果重叠量等于或超过阈值，则社交网络系统组合群集组以生成与广告请求相关联的整体组。
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公开(公告)号：US20170262894A1
公开(公告)日：2017-09-14
申请号：US15068526
申请日：2016-03-11
Applicant: Facebook, Inc.
Inventor： Rituraj Kirti , Ryan Patrick Batterman
CPC classification number: G06Q30/0269 , G06F16/285
Abstract: An online system receives an advertisement request (“ad request”) including an advertisement, targeting criteria identifying characteristics of users eligible to be presented with the advertisement, and one more rules associating weights with characteristics of users. Based on the rules included in the ad request, the online system generates a cluster model that is applied to characteristics of users who do not have characteristics satisfying the targeting criteria in the ad request to generate cluster scores. Users with cluster scores equaling or exceeding a cluster group cutoff score are identified as eligible to be presented with the advertisement in the ad request despite not having characteristics satisfying the targeting criteria in the ad request. Hence, the ad request is eligible for presentation to users having characteristics satisfying the ad request's targeting criteria or having cluster scores equaling or exceeding the cluster group cutoff score.
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