公开(公告)号：US20160343027A1

公开(公告)日：2016-11-24

申请号：US14719780

申请日：2015-05-22

Applicant: Facebook, Inc.

Inventor： Haibin Cheng ,  Sue Ann Hong ,  Xingyao Ye

IPC: G06Q30/02 ,  G06Q50/00 ,  H04L12/26

Abstract: A social networking system presents users with a content items and ad requests, which may include targeting criteria specifying a topic. Interactions by users who were presented with an advertisement from an ad request including targeting criteria specifying the topic are stored by the social networking system and used to identify a cluster group of additional users having characteristics similar to characteristics of users who were presented with the advertisement from the ad request including targeting criteria specifying the topic and who interacted with the advertisement. The social networking system determines scores for additional users in the cluster group based on measures of similarity between the additional users and the users who were presented with the advertisement and who interacted with the advertisement. Based on the determined scores, the social networking system associates additional users in the cluster group with the topic.

Abstract translation: 社交网络系统向用户呈现内容项和广告请求，其中可能包括指定主题的定位条件。 由广告请求提供广告的用户的交互包括指定主题的定位标准的用户由社交网络系统存储，并用于识别具有与呈现广告的用户的特征类似的特征的其他用户的群集组 广告请求包括指定主题的定位条件以及与广告进行了互动的广告请求。 社交网络系统基于附加用户与被呈现广告并与广告进行交互的用户之间的相似性的度量来确定群集组中的附加用户的分数。 根据确定的分数，社交网络系统将集群组中的其他用户与主题相关联。

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.

公开(公告)号：US20170178197A1

公开(公告)日：2017-06-22

申请号：US14970873

申请日：2015-12-16

Applicant: Facebook, Inc.

Inventor： Sue Ann Hong ,  Gunjit Singh ,  Kyle Edward Johnson ,  Atif Zahoor Khan

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0269 ,  G06F17/30705 ,  G06Q30/0277

Abstract: An online system identifies seed users of high value to a sponsored content provider. Characteristics of the seed users are identified, and additional users having a threshold measure of similarity to the seed users are identified based on the characteristics. A score is determined for each of the additional users based on the measure of similarity. The seed users are placed in an initial tier of a tiered set of users for the sponsored content, and the additional users are placed in additional tiers of the tiered set of users based upon the determined scores such that each additional tier includes those users of the additional users having a specified range of determined scores, the tiers of the tiered set of users ranked according to the determined scores of users within each tier.

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

IPC: G06Q30/02 ,  G06Q50/00

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。

公开(公告)号：US10970750B1

公开(公告)日：2021-04-06

申请号：US16296112

申请日：2019-03-07

Applicant: Facebook, Inc.

Inventor： Sue Ann Hong ,  Gunjit Singh ,  Kyle Edward Johnson ,  Atif Zahoor Khan

IPC: G06Q30/00 ,  G06Q30/02 ,  G06F16/35

Abstract: An online system identifies seed users of high value to a sponsored content provider. Characteristics of the seed users are identified, and additional users having a threshold measure of similarity to the seed users are identified based on the characteristics. A score is determined for each of the additional users based on the measure of similarity. The seed users are placed in an initial tier of a tiered set of users for the sponsored content, and the additional users are placed in additional tiers of the tiered set of users based upon the determined scores such that each additional tier includes those users of the additional users having a specified range of determined scores, the tiers of the tiered set of users ranked according to the determined scores of users within each tier.

公开(公告)号：US10672029B2

公开(公告)日：2020-06-02

申请号：US14719780

申请日：2015-05-22

Applicant: Facebook, Inc.

Inventor： Haibin Cheng ,  Sue Ann Hong ,  Xingyao Ye

IPC: G06Q30/02 ,  H04L12/18 ,  G06Q50/00

Abstract: A social networking system presents users with a content items and ad requests, which may include targeting criteria specifying a topic. Interactions by users who were presented with an advertisement from an ad request including targeting criteria specifying the topic are stored by the social networking system and used to identify a cluster group of additional users having characteristics similar to characteristics of users who were presented with the advertisement from the ad request including targeting criteria specifying the topic and who interacted with the advertisement. The social networking system determines scores for additional users in the cluster group based on measures of similarity between the additional users and the users who were presented with the advertisement and who interacted with the advertisement. Based on the determined scores, the social networking system associates additional users in the cluster group with the topic.

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

IPC: G06Q30/02 ,  G06Q50/00 ,  G06F17/30

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。

公开(公告)号：US10242386B2

公开(公告)日：2019-03-26

申请号：US14970873

申请日：2015-12-16

Applicant: Facebook, Inc.

Inventor： Sue Ann Hong ,  Gunjit Singh ,  Kyle Edward Johnson ,  Atif Zahoor Khan

IPC: G06Q30/00 ,  G06Q30/02 ,  G06F17/30

Abstract: An online system identifies seed users of high value to a sponsored content provider. Characteristics of the seed users are identified, and additional users having a threshold measure of similarity to the seed users are identified based on the characteristics. A score is determined for each of the additional users based on the measure of similarity. The seed users are placed in an initial tier of a tiered set of users for the sponsored content, and the additional users are placed in additional tiers of the tiered set of users based upon the determined scores such that each additional tier includes those users of the additional users having a specified range of determined scores, the tiers of the tiered set of users ranked according to the determined scores of users within each tier.

公开(公告)号：US20170024455A1

公开(公告)日：2017-01-26

申请号：US14808320

申请日：2015-07-24

Applicant: Facebook, Inc.

Inventor： Spencer Powell ,  Boris Pierre Arnoux ,  Sue Ann Hong ,  Daniel K. Chapsky ,  Adam Scott Berger ,  Nikhil Girish Nawathe ,  Christopher William Jones ,  Justin Thomas Palumbo ,  Edward R. Gan ,  Rituraj Kirti ,  Mui Thu Tran ,  Yujie Yang

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F16/285 ,  H04L67/1046 ,  H04L67/306

Abstract: An online system receives information from an entity identifying a set of users of the online system and groups users included in the set into clusters based on their similarities using a clustering model or algorithm (e.g., k-means clustering) and based on one or more parameters specified by the entity. The online system generates expanded clusters that include additional users in one or more clusters based on similarities between the additional users and users in various clusters. If an additional user is included in multiple expanded clusters, the online assigns the additional user exclusively to an expanded cluster that best fits the user.

Abstract translation: 在线系统从标识一组在线系统的用户的实体接收信息，并且使用聚类模型或算法（例如，k均值聚类），并且基于一个或多个 参数由实体指定。 在线系统基于各种群集中的附加用户和用户之间的相似性，生成扩展群集，其中包括一个或多个群集中的其他用户。 如果多个扩展群集中包含其他用户，则在线将额外的用户专门分配给最适合用户的扩展群集。

公开(公告)号：US20160343026A1

公开(公告)日：2016-11-24

申请号：US14716772

申请日：2015-05-19

Applicant: Facebook, Inc.

Inventor： Haibin Cheng ,  Sue Ann Hong ,  Rituraj Kirti ,  Benjamin Tucker Savage ,  Gary Wu

IPC: G06Q30/02

CPC classification number: G06Q30/0244 ,  G06Q30/0251 ,  G06Q30/0276

Abstract: A target audience for an ad campaign is determined during an exploration period of the ad campaign by modifying the target audience based on the fulfillment of performance objectives. An initial target audience may be provided by the advertiser or determined by the social networking system based on ad campaigns having similar ad content or other similar characteristics. Advertisements associated with the ad campaign are served to users of the initial target audience. A subset of the target audience that fulfills the performance objectives of the ad campaign is identified and those users are used to generate a new targeting audience to target users that “look like” the subset of the target audience. The new targeting audience is used in place of the initial target audience to improve targeting for the advertisement. This process may be iteratively performed to refine the target audience during the exploration period.

Abstract translation: 广告活动的目标对象是在广告活动的探索期间根据绩效目标的实现修改目标受众。 初始目标受众可以由广告商提供或由基于具有相似广告内容或其他相似特征的广告活动的社交网络系统确定。 与广告系列相关联的广告将投放给初始目标受众的用户。 确定满足广告活动绩效目标的目标受众群体的一部分，并且这些用户被用于生成新的定位受众群体，以将目标用户的子集“看起来像”为目标用户。 新的定位受众群体用于替代初始目标受众群体，以改善广告的定位。 可以迭代地执行该过程以在勘探期间改进目标受众。