公开(公告)号：US20160034956A1

公开(公告)日：2016-02-04

申请号：US14446176

申请日：2014-07-29

Applicant: Facebook, Inc.

Inventor： Giridhar Rajaram ,  Weiwei Ding ,  Xingyao Ye ,  Leon Cho

IPC: G06Q30/02

CPC classification number: G06Q30/0256 ,  G06Q50/01

Abstract: An online system allows content items to be targeted based on interests associated with users. When the online system receives a request to specify targeting criteria associated with a content item, the online system provides an interface to specify targeting criteria. As the online system receives input specifying an interest for inclusion in targeting criteria, the online system retrieves stored interests associated with online system users. Each interest stored by the online system is associated with a type. For example, a type associated with a stored interest indicates whether the interest is from a set of user-generated keywords, from a set of semantic topics mapped from the keywords, or from a set of manually curated broad categories. To avoid confusion from overlap in the types of interests, the online system applies rules to stored interests matching at least a portion of the input to select a set of interests.

Abstract translation: 在线系统允许根据与用户相关的兴趣来定位内容项目。 当在线系统接收到指定与内容项目相关联的定位条件的请求时，在线系统提供了指定定向条件的界面。 当在线系统接收到指定包含在定位标准中的兴趣的输入时，在线系统检索与在线系统用户相关联的存储的兴趣。 在线系统存储的每个兴趣都与一个类型相关联。 例如，与存储的兴趣相关联的类型表示兴趣是来自一组用户生成的关键字，从一组从关键字映射的语义主题集合，还是从一组手动策划的广泛类别。 为了避免与兴趣类型重叠的混淆，在线系统将规则应用于与输入的至少一部分匹配的存储兴趣，以选择一组兴趣。

公开(公告)号：US20180336589A1

公开(公告)日：2018-11-22

申请号：US15599192

申请日：2017-05-18

Applicant: Facebook, Inc.

Inventor： Xingyao Ye ,  Okhee Kim ,  Mark Teng Xia ,  Duy Ha

IPC: G06Q30/02 ,  H04L29/08

Abstract: An online system suggests targeting criteria to advertisers creating new ads in the online system by generating a seed group of targeting criteria. The seed targeting criteria include targeting criteria already selected (if any), targeting criteria previously used, and targeting criteria extracted from the ad being created (e.g., from ad components) or a page being promoted by the ad. The seed targeting criteria are expanded via collaborative filtering on advertisers, collaborative filtering on targeted users, and determination of relationships within topic hierarchies. The online system selects a subset of the expanded targeting criteria by applying a machine learning model to each targeting criterion to determine a probability of the advertiser selecting the targeting criterion if it were suggested. The targeting criteria are ranked based on the determined probabilities and selected based on the ranking. The suggested targeting criteria may also be ordered in the user interface based on the ranking.

公开(公告)号：US10127573B2

公开(公告)日：2018-11-13

申请号：US14940794

申请日：2015-11-13

Applicant: Facebook, Inc

Inventor： Xingyao Ye ,  David Townsend Martin ,  Michael Phillip Salem ,  Yi Wu ,  Jie Xiong ,  Mark Teng Xia

IPC: G06Q30/00 ,  G06Q30/02

Abstract: An online system predicts, using a first targeting model, a first group of users as candidates to be in a targeting cluster, and predicts, using a second targeting model, a second group of users as candidates to be in the targeting cluster. The online system determines a first set of users that are not part of the first group of users, and a second set of users that are not part of the second group of users, and provides surveys to the first and second set of users. The online system determines a first subgroup of the first group of users and a second subgroup of the second group of users, and provides an ad preferences tool to the first subgroup and the second subgroup. The online system scores the first and second targeting models based in part on responses to the surveys and/or the ad preferences tools.

公开(公告)号：US20170140416A1

公开(公告)日：2017-05-18

申请号：US14940794

申请日：2015-11-13

Applicant: Facebook, Inc

Inventor： Xingyao Ye ,  David Townsend Martin ,  Michael Phillip Salem ,  Yi Wu ,  Jie Xiong ,  Mark Teng Xia

IPC: G06Q30/02

CPC classification number: G06Q30/0243 ,  G06Q30/0245 ,  G06Q30/0255 ,  G06Q30/0277

Abstract: An online system predicts, using a first targeting model, a first group of users as candidates to be in a targeting cluster, and predicts, using a second targeting model, a second group of users as candidates to be in the targeting cluster. The online system determines a first set of users that are not part of the first group of users, and a second set of users that are not part of the second group of users, and provides surveys to the first and second set of users. The online system determines a first subgroup of the first group of users and a second subgroup of the second group of users, and provides an ad preferences tool to the first subgroup and the second subgroup. The online system scores the first and second targeting models based in part on responses to the surveys and/or the ad preferences tools.

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：US10977297B1

公开(公告)日：2021-04-13

申请号：US16218134

申请日：2018-12-12

Applicant: Facebook, Inc.

Inventor： Lijun Tang ,  Xingyao Ye

IPC: G06F16/44 ,  G06F16/438 ,  G06F16/48 ,  G06N20/00 ,  G06K9/62 ,  G06Q50/00

Abstract: An online system causes a graphical user interface to display at a client device. The graphical user interface includes a story field that displays ephemeral content items which are created within a threshold time period and are automatically removed after the time period. The online system uses a computer learned model to rank the selected ephemeral content items for display. The display of a set of ephemeral content items is associated with a session. The computer learned model is trained with sample sets that use an entire past session that includes a plurality of ephemeral content items. The computer model proposes a ranked order of the content items in the past session. Based on the past user actions performed on the past content items, a normalized discounted cumulative gain is determined for the past session. The computer model is trained to optimize the normalized discounted cumulative gain.

公开(公告)号：US10937053B1

公开(公告)日：2021-03-02

申请号：US16158309

申请日：2018-10-12

Applicant: Facebook, Inc.

Inventor： Xingyao Ye ,  David Townsend Martin ,  Michael Phillip Salem ,  Yi Wu ,  Jie Xiong ,  Mark Teng Xia

IPC: G06Q30/00 ,  G06Q30/02

Abstract: An online system predicts, using a first targeting model, a first group of users as candidates to be in a targeting cluster, and predicts, using a second targeting model, a second group of users as candidates to be in the targeting cluster. The online system determines a first set of users that are not part of the first group of users, and a second set of users that are not part of the second group of users, and provides surveys to the first and second set of users. The online system determines a first subgroup of the first group of users and a second subgroup of the second group of users, and provides an ad preferences tool to the first subgroup and the second subgroup. The online system scores the first and second targeting models based in part on responses to the surveys and/or the ad preferences tools.

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：US20190019214A1

公开(公告)日：2019-01-17

申请号：US15650642

申请日：2017-07-14

Applicant: Facebook, Inc.

Inventor： Ori Hanegby ,  Yossef Eliahu Zomet ,  Ganesh A. Gopalakrishnan ,  Xingyao Ye

IPC: G06Q30/02

Abstract: An online system presents various content items received from a publishing user to various users. The online system captures information identifying users to whom the content items were presented and identifies actions performed by the users presented with the content items after being presented with the content items. After presenting content items from the publishing user, the online system identifies characteristics of users to whom the content items were presented and determines performance metrics describing presentation of the content items to users having different characteristics or combinations of characteristics. The performance metrics are presented to the publishing user and grouped based on various characteristics of users to whom the content items were presented, allowing the publishing user to evaluate performance of presentation of content items to users having different characteristics.