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公开(公告)号:US20190182200A1
公开(公告)日:2019-06-13
申请号:US16277133
申请日:2019-02-15
Applicant: Microsoft Technology Licensing, LLC
Inventor: Rishi Jobanputra , Romer E. Rosales-Delmoral , Joshua Daniel Hartman , Shubhanshu Nagar , Ryan Oblak , Cameron Alexander Lee , Hsiao-Ping Tseng , Shaunak Chatterjee , Rupesh Gupta
CPC classification number: H04L51/32 , H04L51/14 , H04L51/26 , H04L67/10 , H04L67/306
Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.
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公开(公告)号:US10263941B2
公开(公告)日:2019-04-16
申请号:US15010765
申请日:2016-01-29
Applicant: Microsoft Technology Licensing, LLC
Inventor: Rishi Jobanputra , Romer E. Rosales , Joshua Daniel Hartman , Shubhanshu Nagar , Ryan Oblak , Cameron Alexander Lee , Hsiao-Ping Tseng , Shaunak Chatterjee , Rupesh Gupta
Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.
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公开(公告)号:US10671680B2
公开(公告)日:2020-06-02
申请号:US15247075
申请日:2016-08-25
Applicant: Microsoft Technology Licensing, LLC
Inventor: Jinyun Yan , Hsiao-Ping Tseng , Xiaoyu Chen , Rupesh Gupta , Romer E. Rosales
IPC: G06F16/9535 , G06F3/0482 , G06N20/00 , G06Q10/06 , G06Q50/00 , G06Q30/02
Abstract: A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated. A probability that the user will engage with a particular content category based on past user engagement is calculated. In response to the probability of the user engaging with the particular content category being equal to or greater than a first threshold, the content is generated. Further, in response to the probability of the user not visiting a webpage meeting or exceeding a second threshold, the generated content is sent to the user.
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公开(公告)号:US10581789B2
公开(公告)日:2020-03-03
申请号:US16277133
申请日:2019-02-15
Applicant: Microsoft Technology Licensing, LLC
Inventor: Rishi Jobanputra , Romer E. Rosales-Delmoral , Joshua Daniel Hartman , Shubhanshu Nagar , Ryan Oblak , Cameron Alexander Lee , Hsiao-Ping Tseng , Shaunak Chatterjee , Rupesh Gupta
Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.
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公开(公告)号:US10650325B2
公开(公告)日:2020-05-12
申请号:US14814555
申请日:2015-07-31
Applicant: Microsoft Technology Licensing, LLC
Inventor: Rupesh Gupta , Hsiao-Ping Tseng , Ravi Kiran Holur Vijay , Romer E. Rosales
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.
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公开(公告)号:US20180217988A1
公开(公告)日:2018-08-02
申请号:US15851086
申请日:2017-12-21
Applicant: Microsoft Technology Licensing, LLC
Inventor: Xiaoyu Chen , Hsiao-Ping Tseng , Danfeng Xu
CPC classification number: G06F16/437 , G06F16/44 , G06F16/9535 , G06Q50/01 , H04L67/22 , H04W4/21
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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