Deterministic message distribution

    公开(公告)号:US10650325B2

    公开(公告)日:2020-05-12

    申请号:US14814555

    申请日:2015-07-31

    Abstract: This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.

    ELECTRONIC COMMUNICATION GENERATION USING SEPARATE SYSTEM CONTENT

    公开(公告)号:US20180217988A1

    公开(公告)日:2018-08-02

    申请号:US15851086

    申请日:2017-12-21

    Abstract: A system and method comprises receiving, with a processor, indications of activities by a member of an online social networking system with content items of electronic communications transmitted to the member, selecting a set of content items from one of a first set of content items from an electronic communication system of the online social networking system and a second set of content items from a feed system of the online social networking system based, at least in part, on the activities by the member with the content items of the electronic communications. A network interface device transmits a new electronic communication of the electronic communications based on the one of the first and second sets of content items as selected. The processor receives indications of activities with the content items of the set of content items in the new electronic communication.

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