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公开(公告)号:US20190065607A1
公开(公告)日:2019-02-28
申请号:US15688796
申请日:2017-08-28
Applicant: Facebook, Inc.
Inventor: Lisa Jones , Ramkumar Natarajan , Jonjo Twist
Abstract: An application analytics generation system employs data stored in a social networking system's social graph to automatically predict outcomes based on various observed attributes, and transmit these predictions to a social networking system's user interface, e.g., in a newsfeed, for an advertiser or application developer. These predictions correlate various attributes and/or actions to outcomes, e.g., in relation to advertisements or applications.
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公开(公告)号:US20180232431A1
公开(公告)日:2018-08-16
申请号:US15432753
申请日:2017-02-14
Applicant: FACEBOOK, INC.
Inventor: Ramkumar Natarajan , Yibo Cai , Lisa Jones
CPC classification number: G06F21/604 , G06F16/26
Abstract: A method of dynamically sampling application events includes receiving usage data for a plurality of applications on client devices. The usage data includes data for instances of events that occur in the plurality of applications in response to users interacting with the plurality of applications on the client devices. The method further includes storing the usage data in a first data store, determining, for respective applications of the plurality of applications, sampling rates for respective application events of the plurality of application events based at least in part on respective quantities of instances of the respective application events during a period of time, sampling from the first data store the data for the instances of the respective application events at the sampling rates to form respective sets of usage data, and providing a report using one or more sets of the sets of usage data.
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公开(公告)号:US20180103004A1
公开(公告)日:2018-04-12
申请号:US15288723
申请日:2016-10-07
Applicant: Facebook, Inc.
Inventor: Deniz Demir , Wenyun Yang , Robert Franklin Daniel , Yoram Talmor , Edward Young Zhang , Aayush Gupta , Ramkumar Natarajan
Abstract: The present disclosure is directed toward systems and methods for reengaging website visitors via a social networking system. For example, in accordance with one embodiment, a social networking system receives information regarding a user-triggered event associated with a merchant webpage, utilizes the received information to generate an electronic message from the merchant to the user, and provides the electronic message to the user via the social networking system. The user can then reengage with the merchant in response to the received electronic message.
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