IDENTIFYING WHETHER AN OBJECTIVE INCLUDED IN A CONTENT ITEM PRESENTED BY AN ONLINE SYSTEM WAS PERFORMED WITHOUT THE ONLINE SYSTEM RECEIVING INFORMATION FROM A CLIENT DEVICE IDENTIFYING A USER

    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.

    Inventor: Li Zhou Liang Xu

    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.

    Inferring additional email addresses to match email addresses in a digest list

    公开(公告)号:US10165063B2

    公开(公告)日:2018-12-25

    申请号:US15184974

    申请日:2016-06-16

    Applicant: Facebook, Inc.

    Abstract: An online system receives third party hashes for a plurality of targeted users and generates local hashes for one or more local users of the online system. The online system identifies as matched users those local users with local hashes that match those of the third party hashes. The online system generates one or more inferred identifiers for each of the one or more local users, the inferred identifiers being of the same type as the local unique identifiers, and the inferred identifiers generated based on characteristics of each corresponding local user. The online system identifies as inferred matched users at least one of the local users that have local hashes of corresponding inferred identifiers that match a third party hash of a third party unique identifier. The online system provides, to a third party system, a selection including the matched users and a selection including the inferred matched users.

    HOUSEHOLD DEVICE-USER GRAPH FOR DELIVERING CONTENT

    公开(公告)号:US20180109578A1

    公开(公告)日:2018-04-19

    申请号:US15294621

    申请日:2016-10-14

    Applicant: Facebook, Inc.

    Inventor: Li Zhou

    Abstract: An online system generates a household device-user graph, which links one or more household devices in a household with one or more users, each of whom having a user profile in the online system. The household device-user graph can be used for effective content delivery to users of the online system. The device-user graph generated by the online system describes connections between household device users and household devices in the target household and usage of the household devices by the household device users. Each household device user represented in the device-user graph is connected to one or more household devices represented in the device-user graph. The online system determines whether one or more household device users identified in the device-user graph are users of the online system, and updates the user profiles of the identified household device users in response to a determination that the identified household device users are users of the online system.

    Establishing connections between accounts maintained by an online system and third party accounts maintained by third party systems

    公开(公告)号:US09900321B2

    公开(公告)日:2018-02-20

    申请号:US14852420

    申请日:2015-09-11

    Applicant: Facebook, Inc.

    CPC classification number: H04L63/105 G06F17/30 H04L63/205

    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 o third party accounts based on the comparisons. A connection between the user's account and a third party account includes a confidence level indicating a likelihood of the third party account being associated with the user of the online system corresponding to the account. A third party system may request information from the online system about a user specifying a threshold confidence level, allowing the online system to return information from third party accounts having connections to the user's account with at least the threshold confidence level.

    INFERRING ADDITIONAL EMAIL ADDRESSES TO MATCH EMAIL ADDRESSES IN A DIGEST LIST

    公开(公告)号:US20170366500A1

    公开(公告)日:2017-12-21

    申请号:US15184974

    申请日:2016-06-16

    Applicant: Facebook, Inc.

    Abstract: An online system receives third party hashes for a plurality of targeted users and generates local hashes for one or more local users of the online system. The online system identifies as matched users those local users with local hashes that match those of the third party hashes. The online system generates one or more inferred identifiers for each of the one or more local users, the inferred identifiers being of the same type as the local unique identifiers, and the inferred identifiers generated based on characteristics of each corresponding local user. The online system identifies as inferred matched users at least one of the local users that have local hashes of corresponding inferred identifiers that match a third party hash of a third party unique identifier. The online system provides, to a third party system, a selection including the matched users and a selection including the inferred matched users.

    Predicting household demographics based on image data

    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.

    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.

    PEOPLE-BASED USER SYNCHRONIZATION WITHIN AN ONLINE SYSTEM

    公开(公告)号:US20180212931A1

    公开(公告)日:2018-07-26

    申请号:US15415684

    申请日:2017-01-25

    Applicant: Facebook, Inc.

    Abstract: Embodiments include one or more client devices accessible by users, an online system, and one or more partner systems such that the online system is able to identify a user of the online system across different devices and browsers based on the user activity that occurs external to the online system. A user performs user actions (e.g. purchase a product) on a web page of a partner system and may provide personally identifiable information (PII) to the partner system. The partner system provides the hashed PII and user actions performed by the user to the online system. The online system identifies a user profile on the online system by matching personal information in the user profile to the hashed PII. The online system generates a confidence score indicating a likelihood that the identified user of the online system is the individual that performed the external user action.

    IDENTIFYING USERS BASED ON FEDERATED USER IDENTIFIERS

    公开(公告)号:US20180097800A1

    公开(公告)日:2018-04-05

    申请号:US15282666

    申请日:2016-09-30

    Applicant: Facebook, Inc.

    CPC classification number: H04L63/0815

    Abstract: An online system receives a variety of identifiers associated with a user of the online system and generates a federated list of identifiers for the user that includes each of the received identifiers. Identifiers may be browser identifiers, device identifiers, Internet protocol address, personally identifiable information, or a user identifier of a different online system. For each identifier in the federated list of identifiers, the online system generates metadata information such as a confidence score indicating a degree of certainty that the identifier can be used to accurately identify the user of the online system. The online system aggregates features associated with the identifiers in the federated list of identifiers to generate a comprehensive user profile of the user and uses the comprehensive user profile to better serve the user.

    IDENTIFYING USERS OF CLIENT DEVICES FOR TRACKING USER INTERACTIONS WITH CONTENT DISTRIBUTED BY CONTENT PROVIDER SYSTEMS

    公开(公告)号:US20170353564A1

    公开(公告)日:2017-12-07

    申请号:US15172040

    申请日:2016-06-02

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/22 H04B1/3833 H04L67/02 H04L67/20 H04L67/306

    Abstract: An online system tracks identities of users that interact with the online system. The online system sends a browser identifier for storing on a client device that interacts with the online system. The browser identifier uniquely identifies a browser of the client device used for interacting with the online system. A content provider system receives the browser identifier from the client device and uses the browser identifier for logging user actions associated with content provided by the content provider system. The content provider system sends user action logs to the online system and the online system determines users that used the client device at a timestamp associated with the user action log. The online system provides the user identifiers to the content provider system. The content provider system uses the user identifiers to generate reports.

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