OPTIMIZING CONTENT ITEM SELECTION FOR USER MESSAGING ENGAGEMENT

    公开(公告)号:US20200045008A1

    公开(公告)日:2020-02-06

    申请号:US16050623

    申请日:2018-07-31

    Applicant: Facebook, Inc.

    Abstract: An online system selects for display content items having an option to allow a user to converse with a content provider over an electronic communication system in a way that optimizes for the occurrence of that communication. Content items provided by the online system include links to an online communication system from which the online system can directly observe whether the user engaged in communications with third parties. The online system can thus obtain labeled training data describing communications between users and users' previous interactions with content items and pages of the online system. The trained model is applied to candidate content items to predict a probability that a user will engage in a communication with the content provider if the content is provided to the user, and the model optimizes the selection of content items for which the call to action is to engage in the communication.

    AUTOMATICALLY DETECTING AND MODIFYING AN EXPLOIT DIGITAL ADVERTISING CAMPAIGN

    公开(公告)号:US20190108545A1

    公开(公告)日:2019-04-11

    申请号:US15728026

    申请日:2017-10-09

    Applicant: Facebook, Inc.

    Abstract: The present disclosure is directed toward systems, methods, and computer-readable media that automatically detect and correct advertising exploits for an advertising campaign. For instance, one or more of the systems disclosed herein employs various metrics to automatically determine when an advertising campaign exceeds an exploit threshold. In addition, upon determining that an advertising campaign is an exploit campaign, one or more of the disclosed systems automatically throttles the execution of an advertising campaign until the exploit is corrected. For example, the disclosed system can modify one or more of the campaign parameters of the exploit campaign to limit placement of at least one future advertisement from the advertising campaign.

    Optimizing content item selection for user messaging engagement

    公开(公告)号:US11082389B2

    公开(公告)日:2021-08-03

    申请号:US16050623

    申请日:2018-07-31

    Applicant: Facebook, Inc.

    Abstract: An online system selects for display content items having an option to allow a user to converse with a content provider over an electronic communication system in a way that optimizes for the occurrence of that communication. Content items provided by the online system include links to an online communication system from which the online system can directly observe whether the user engaged in communications with third parties. The online system can thus obtain labeled training data describing communications between users and users' previous interactions with content items and pages of the online system. The trained model is applied to candidate content items to predict a probability that a user will engage in a communication with the content provider if the content is provided to the user, and the model optimizes the selection of content items for which the call to action is to engage in the communication.

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