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公开(公告)号：US10311244B2
公开(公告)日：2019-06-04
申请号：US15282693
申请日：2016-09-30
Applicant: Facebook, Inc.
Inventor： Weidong Wang , Erjie Ang , Yongfeng Liu , Liang Xu , Chaochao Cai
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.
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公开(公告)号：US10178193B2
公开(公告)日：2019-01-08
申请号：US15236228
申请日：2016-08-12
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Liang Xu
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.
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13.发明申请公开(公告)号：US20170093650A1
公开(公告)日：2017-03-30
申请号：US14866059
申请日：2015-09-25
Applicant: Facebook, Inc.
Inventor： Goran Predovic , Liang Xu , Stephane Taine
CPC classification number: H04L67/02 , H04L12/1475 , H04L12/1496 , H04L67/22 , H04L67/306 , H04M15/00 , H04M15/07 , H04M15/09 , H04M15/64 , H04M15/8083
Abstract: An online system determines one or more metrics describing consumption of content by various users by identifying users of the online system capable of being identified based on information received from multiple client devices. For example, the online system identifies users associated with user identifiers that are also associated with other types of identifying information (e.g., cookies, device identifiers). From the identified users, the online system generates a set of users based on a distribution of characteristics. The distribution of characteristics may be determined by the online system as characteristics of a group of users or received by the online system from a third party system and describes characteristics of users of the third party system. Based on interactions with content by users in the set, the online system determines one or more metrics describing consumption of content.
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公开(公告)号：US11144954B1
公开(公告)日：2021-10-12
申请号：US15880078
申请日：2018-01-25
Applicant: Facebook, Inc.
Inventor： Liang Xu , Chaochao Cai , Qing Li , Goran Predovic
Abstract: An online system promotes physical store visits by presenting users with content items for a physical store location and subsequently logs visits of online system users to the physical store location to track performance of a campaign associated with the presented content item. The online system registers attention events associated with the presented content items presented to users on third party publishing sites via tracking pixels and registers attention events as store front visit conversion events if, within a predetermined period of time from a valid attention event, a user has subsequently gone in and visited the physical store front location.
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15.发明授权公开(公告)号：US11049032B2
公开(公告)日：2021-06-29
申请号：US15685121
申请日：2017-08-24
Applicant: Facebook, Inc.
Abstract: An online system maintains an identity graph having links between different types of user identifying information (e.g., email addresses, phone numbers, user identifiers) describing various users of the online system. Based on information received from various sources describing relationships between different types of user identifying information describing a user, the online system generates confidence values for each link between different types of user identifying information. In some embodiments, a confidence value accounts for an amount of time since information describing a relationship between different types of user identifying information was received from a source. If the confidence value of a link between different types of user identifying information equals or exceeds a threshold value, the online system determines the different types of user identifying information are correlated with each other, allowing the online system to correlate user identifying information without storing user identifying information received from sources.
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Patent Agency Ranking
16.发明授权公开(公告)号：US10554721B2
公开(公告)日：2020-02-04
申请号：US14866059
申请日：2015-09-25
Applicant: Facebook, Inc.
Inventor： Goran Predovic , Liang Xu , Stephane Taine
Abstract: An online system determines one or more metrics describing consumption of content by various users by identifying users of the online system capable of being identified based on information received from multiple client devices. For example, the online system identifies users associated with user identifiers that are also associated with other types of identifying information (e.g., cookies, device identifiers). From the identified users, the online system generates a set of users based on a distribution of characteristics. The distribution of characteristics may be determined by the online system as characteristics of a group of users or received by the online system from a third party system and describes characteristics of users of the third party system. Based on interactions with content by users in the set, the online system determines one or more metrics describing consumption of content.
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公开(公告)号：US10242251B2
公开(公告)日：2019-03-26
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
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.
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公开(公告)号：US20190057399A1
公开(公告)日：2019-02-21
申请号：US15677013
申请日：2017-08-15
Applicant: Facebook, Inc.
Abstract: An online system provides content items to client devices for presentation to users and receives information describing actions by users performed by users via the client devices. Certain client devices withhold information uniquely identifying the client devices from the online system to prevent the online system from subsequently identifying a particular user from information uniquely identifying the client device. When the online system receives a description of an action from such a client device that matches an objective included in a content item presented by the online system, the online system identifies users to whom the content item was presented and who are associated with client device characteristics matching characteristics received from the client device. A model is applied by the online system to the identified users that determines a likelihood that at least one of the identified users to whom the content item was presented performed the action.
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19.发明申请公开(公告)号：US20190012681A1
公开(公告)日：2019-01-10
申请号：US15645184
申请日：2017-07-10
Applicant: Facebook, Inc.
Inventor： Luxi Guo , Aleksey Sergeyevich Fadeev , Liang Xu
Abstract: An online system predicts viewability of content items based on user interactions associated with the content items. The online system sends content items for display via client devices. The online system receives a request for a report based on viewability of the content item. The online system receives user interactions with the content item and determines a value of a user interaction metric based on the received user interactions. The online system provides the value of the user interaction metric as input to a correlation model to predict a value of the viewability metric for the content items. The online system may generates report based on the predicted viewability metric value.
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公开(公告)号：US20180101863A1
公开(公告)日：2018-04-12
申请号：US15288760
申请日：2016-10-07
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Liang Xu
CPC classification number: G06Q30/0248 , G06N20/00 , G06Q10/067 , G06Q30/0246
Abstract: Disclosed is an online system providing a fair measurement platform for people-based measurement of performance of an online campaign across different third-party systems that eliminates bias for certain third-party systems. The online system determines the measurable portion of the online campaign, where this is a portion of the campaign for which the online system knows the identities of the users and the online system knows that the impressions were viewable. The online system extrapolates with a model out from the measurable portion of the campaign to provide a broader measurement for the campaign including impressions for which identify coverage is incomplete and for which viewability is not available to provide a full, unbiased measurement for the online campaign across various third-party systems, regardless of whether they account for viewability, have identity coverage, or detect fraud.
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