Analyzing tracking requests generated by client devices interacting with a website

    公开(公告)号:US10455034B2

    公开(公告)日:2019-10-22

    申请号:US15636504

    申请日:2017-06-28

    Applicant: Facebook, Inc.

    Abstract: An online system receives tracking requests from client devices interacting with a website to analyze user interactions with the website. The website provides instructions with web pages sent to a client device that cause the client device to send tracking instructions to the online system. The online system sends requests for web pages to the website, receives a plurality of web pages from the website, and determines a count of distinct web pages provided by the website. The online system determines a score for the website indicating a quality of tracking instructions of the website based on various factors, including an aggregate value based on the distinct webpages of the website that include tracking instructions and the count of distinct web pages provided by the website. Based on this score, the online system generates a report describing a quality of the tracking instructions of the website.

    Image based user identification across multiple online systems

    公开(公告)号:US10387715B1

    公开(公告)日:2019-08-20

    申请号:US16201852

    申请日:2018-11-27

    Applicant: Facebook, Inc.

    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.

    INFLUENCE GROUPS FOR CONVERSIONS
    3.
    发明申请

    公开(公告)号:US20190080366A1

    公开(公告)日:2019-03-14

    申请号:US15699522

    申请日:2017-09-08

    Applicant: Facebook, Inc.

    Abstract: A method is disclosed for attributing conversions among multiple members of a socially connected influence group, such as a household. Data from advertising impressions, including views and clicks, is maintained by an online system. When a conversion is made, the social network of the user creating the conversion event is analyzed. An influence group, defined as a group comprising the users and group of socially connected users whom influence the purchasing decisions of the first user, is created. Conversion data is analyzed for the first user and the other members of the influence group. This data is weighted to determine the propensities of successful conversions among all members of the influence group.

    Location-based inference of user characteristics

    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.

    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.

    Identifying users of client devices for tracking user interactions with content distributed by content provider systems

    公开(公告)号:US10097654B2

    公开(公告)日:2018-10-09

    申请号:US15172040

    申请日:2016-06-02

    Applicant: Facebook, Inc.

    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.

    IDENTIFYING ASSOCIATIONS BETWEEN INFORMATION MAINTAINED BY AN AD SYSTEM AND INFORMATION MAINTAINED BY AN ONLINE SYSTEM
    9.
    发明申请
    IDENTIFYING ASSOCIATIONS BETWEEN INFORMATION MAINTAINED BY AN AD SYSTEM AND INFORMATION MAINTAINED BY AN ONLINE SYSTEM 审中-公开
    鉴定由AD系统维护的信息和由在线系统维护的信息之间的协议

    公开(公告)号:US20160260129A1

    公开(公告)日:2016-09-08

    申请号:US14641256

    申请日:2015-03-06

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0255 H04L67/22 H04W4/21

    Abstract: Different online systems, such as an ad system or a social networking system, maintain different identifiers. An ad system identifies an association between an unsynced cookie maintained by an ad system and a user of the online system. The ad system identifies an overlap IP sequence including multiple occurrences of a user's user id and multiple occurrences of an unsynced cookie id in communications associated with an IP address over a given time period. The ad system determines an overlap score based on the identified overlap IP sequence. The overlap score determines how closely the unsynced cookie is associated with the user of the online system. The ad system determines whether the unsynced cookie id and the user id are associated with one another based on the overlap score. The ad system stores an association between the unsynced cookie and the user of the online system thereby generating a synced cookie.

    Abstract translation: 不同的在线系统,例如广告系统或社交网络系统,维护不同的标识符。 广告系统识别由广告系统维护的未同步Cookie与在线系统的用户之间的关联。 广告系统识别重叠IP序列,包括在给定时间段内与IP地址相关联的通信中的用户用户ID的多次发生和未同步的cookie id的多次出现。 广告系统基于所识别的重叠IP序列确定重叠分数。 重叠分数确定未同步的cookie与在线系统的用户相关联的程度。 广告系统基于重叠分数来确定未同步的Cookie ID和用户ID是否彼此关联。 广告系统存储未同步的Cookie和在线系统的用户之间的关联,从而生成同步的cookie。

    USER ACTIVITY TRACKING IN THIRD-PARTY ONLINE SYSTEMS

    公开(公告)号:US20190179884A1

    公开(公告)日:2019-06-13

    申请号:US15839738

    申请日:2017-12-12

    Applicant: Facebook, Inc.

    Abstract: Disclosed is a method for identifying an action performed by a user in a third party system. Information associated with a form is received by an online system. For instance, hashed values of a plurality of form fields provided by a user and a description of the plurality of form fields are received by an online system. A form is identified based on the received information. Additionally, a determination whether one or more of the received hashed values correspond to stored values by the online system is made. If the received hashed values correspond to stored values in the online system, a user of the online system is identified based on the stored values corresponding to the one or more received hashed values. An identification of an action associated with the identified form and performed by the user in the third party system is stored.

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