公开(公告)号：US11238490B2

公开(公告)日：2022-02-01

申请号：US15792641

申请日：2017-10-24

Applicant: Facebook, Inc.

Inventor： Chaochao Cai ,  Liang Xu ,  Goran Predovic

IPC: G06Q30/02 ,  G06N20/00

Abstract: Information describing deliveries of content items and user actions associated with the content items is stored. Each delivery is performed by an online publisher to a user. A user action associated with a content item performed by a target user is detected. Information describing a set of online publishers that delivered the content item to the target user is retrieved. For each online publisher of the set, a likelihood that the user action would have occurred without the online publisher's delivery of the content item to the target user is determined. An estimated increase in the likelihood that the user action occurred due to the online publisher's delivery of the content item to the target user is determined. A performance metric is determined for the online publisher, wherein ratios of performance metrics for the set of online publishers are related based on corresponding ratios of the estimated increases in likelihoods.

公开(公告)号：US10277714B2

公开(公告)日：2019-04-30

申请号：US15592108

申请日：2017-05-10

Applicant: Facebook, Inc.

Inventor： William Bullock ,  Liang Xu ,  Li Zhou

IPC: G06F15/173 ,  H04L29/08 ,  G06K9/66 ,  G06F17/27 ,  G06F16/335 ,  G06Q30/02 ,  G06K9/00

Abstract: An online system predicts household features of a user, e.g., household size and demographic composition, based on image data of the user, e.g., profile photos, photos posted by the user and photos posted by other users socially connected with the user, and textual data in the user's profile that suggests relationships among individuals shown in the image data of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. For example, a trained image analysis model identifies each individual depicted in the photos of the user; a trained text analysis model derive household member relationship information from the user's profile data and tags associated with the photos. The online system uses the predictions to build more information about the user and his/her household in the online system, and provide improved and targeted content delivery to the user and the user's household.

公开(公告)号：US20190122257A1

公开(公告)日：2019-04-25

申请号：US15792641

申请日：2017-10-24

Applicant: Facebook, Inc.

Inventor： Chaochao Cai ,  Liang Xu ,  Goran Predovic

IPC: G06Q30/02 ,  G06F15/18

Abstract: Information describing deliveries of content items and user actions associated with the content items is stored. Each delivery is performed by an online publisher to a user. A user action associated with a content item performed by a target user is detected. Information describing a set of online publishers that delivered the content item to the target user is retrieved. For each online publisher of the set, a likelihood that the user action would have occurred without the online publisher's delivery of the content item to the target user is determined. An estimated increase in the likelihood that the user action occurred due to the online publisher's delivery of the content item to the target user is determined. A performance metric is determined for the online publisher, wherein ratios of performance metrics for the set of online publishers are related based on corresponding ratios of the estimated increases in likelihoods.

公开(公告)号：US10210429B2

公开(公告)日：2019-02-19

申请号：US15497866

申请日：2017-04-26

Applicant: Facebook, Inc.

Inventor： Chaochao Cai ,  Goran Predovic ,  Wei Wei ,  Chang Liu ,  Liang Xu

IPC: G06K9/62 ,  G06N99/00 ,  G06N5/04 ,  G06K9/00 ,  G06K9/66 ,  G06K9/72

Abstract: An online system predicts gender, age, interests, or other demographic information of a user based on image data of the user, e.g., profile photos, photos the user posts of him/herself within an online system, and photos of the user posted by other users socially connected with the user, and textual data in the user's profile that suggests age or gender (e.g., like or dislikes similar to a population of users of an online system). The online system similarly predicts a user's interests based on the photos of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. The online system uses the predictions to build more information about the user in the online system, and provide improved and targeted content delivery to the user that may have disparate information scattered throughout different online systems.

公开(公告)号：US20180314880A1

公开(公告)日：2018-11-01

申请号：US15497454

申请日：2017-04-26

Applicant: Facebook, Inc.

Inventor： Aleksey Sergeyevich Fadeev ,  Li Zhou ,  Yimin Song ,  Goran Predovic ,  Chaochao Cai ,  Liang Xu

IPC: G06K9/00 ,  G06F17/28 ,  G06K9/62 ,  G06F17/30 ,  H04L12/58

CPC classification number: G06K9/00295 ,  G06F17/27 ,  G06F17/30867 ,  G06K9/00275 ,  G06Q50/01 ,  H04L51/10 ,  H04L51/32 ,  H04L67/306

Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.

公开(公告)号：US20180218286A1

公开(公告)日：2018-08-02

申请号：US15421060

申请日：2017-01-31

Applicant: Facebook, Inc.

Inventor： Goran Predovic ,  Liang Xu ,  Chaochao Cai

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/235 ,  G06F16/2462 ,  G06F16/95 ,  G06N5/003 ,  G06N20/20

Abstract: An online system measures performance of content presented to a plurality of identifiable and non-identifiable individuals based on matching user identifying information included in data describing presentation of the content and data describing performance of an action associated with the content. To reduce measurement inaccuracy resulting from incomplete matching of user identifying information associated with non-identifiable individuals, the online system generates models to extrapolate data describing an amount of unique individuals presented with the content, an amount of unique individuals who performed an action associated with the content, and an amount of unique individuals who performed the action associated with the content attributable to presentation of the content by a content publisher. The models are applied to data collected by the online system describing presentation of the content and performance of actions associated with the content. Metrics describing performance of the content are generated based on the models.

公开(公告)号：US20180097815A1

公开(公告)日：2018-04-05

申请号：US15282693

申请日：2016-09-30

Applicant: Facebook, Inc.

Inventor： Weidong Wang ,  Erjie Ang ,  Yongfeng Liu ,  Liang Xu ,  Chaochao Cai

IPC: H04L29/06 ,  G06F21/62

CPC classification number: G06F21/6218 ,  G06F21/316 ,  H04L63/104

Abstract: An online system maintains characteristics for its users and may access characteristics of users maintained by a third party system. The online system may select content for a user of the third party system based on characteristics maintained by the third party system. If the third party system does not maintain a characteristic for its users, the generates a model predicting the characteristic for third party system users based on a set of online system users identified based on characteristics of third party system users. The online system clusters third party system users based on the predicted characteristic for other third party system users connected to the third party system user. Using verified characteristics for third party system users from a trusted third party system, the online system determines an accuracy of the predicted characteristic for third party system users in a cluster.

公开(公告)号：US20180048722A1

公开(公告)日：2018-02-15

申请号：US15236228

申请日：2016-08-12

Applicant: Facebook, Inc.

Inventor： Aleksey Sergeyevich Fadeev ,  Liang Xu

IPC: H04L29/08 ,  H04W4/02

CPC classification number: H04L67/22 ,  H04L67/02 ,  H04L67/10 ,  H04L67/18 ,  H04L67/20 ,  H04L67/306 ,  H04W4/02

Abstract: An online system associates a user with a characteristic attribute of a geographic area in response to the user visiting the geographic area. The geographic area is identified based on visits by users of the online system, and attributes of entities associated with locations within the geographic area. A characteristic attribute is identified from the obtained attributes. A visit to the geographic area by a first user not associated with the characteristic attribute is identified. In response to identifying that the first user has visited the geographic area, the first user is associated with the characteristic profile attribute. Based at least in part on the association between the characteristic profile attribute and the first user, a content item is sent to a client device for presentation to the first user.

公开(公告)号：US20170359293A1

公开(公告)日：2017-12-14

申请号：US15179935

申请日：2016-06-10

Applicant: Facebook, Inc.

Inventor： Liang Xu ,  Zhonghua Qu ,  Aleksey Sergeyevich Fadeev ,  Artur Abdullin

IPC: H04L12/58 ,  H04L29/06 ,  H04L29/08

CPC classification number: H04L51/32 ,  G06Q50/01 ,  H04L65/1069 ,  H04L67/20 ,  H04L67/306

Abstract: Online system users interact with one or more third party systems, with the online system maintaining an account for each of its users and each third party system maintaining a third party account for each of its users. The online system compares information in a user's account to accessible information in third party accounts and establishes connections between the user's account and third party accounts based on the comparisons, a connection including a confidence level indicating a likelihood of a third party account being associated with the user of the online system corresponding to the user's account. Similarly, the online system compares information in different third party accounts and establishes connections between different third party accounts based on the comparisons including includes a confidence level indicating a likelihood of a third party account and an additional third party account being associated with the same user.

公开(公告)号：US20160267526A1

公开(公告)日：2016-09-15

申请号：US14644200

申请日：2015-03-10

Applicant: Facebook, Inc.

Inventor： Liang Xu ,  Aleksey Sergeyevich Fadeev ,  Cheng-huan Sean Chu ,  Xiao Zhang

IPC: G06Q30/02

CPC classification number: G06Q30/0246 ,  G06Q30/0277

Abstract: An advertiser determines an attribution assigned to an online publisher for providing advertisement impressions to a user that purchased the product associated with the advertisement impressions. An event chain that resulted in a conversion by a user is received and a probability that the event chain would result in a conversion is determined. A probability that a second event chain that includes the events of the received event chain except for a target event, would result in a conversion is determined. A score for the target event is determined based on the probability that the received event chain would result in a conversion and the probability that the second event chain would result in a conversion.

Abstract translation: 广告商确定分配给在线发行商的归属，以向购买与广告印象相关联的产品的用户提供广告印象。 接收到导致用户进行转换的事件链，并确定事件链将导致转换的概率。 确定包含所接收的事件链的事件的第二事件链（除目标事件之外）将导致转换的概率。 基于接收到的事件链将导致转换的概率以及第二个事件链将导致转换的概率来确定目标事件的得分。