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公开(公告)号：US10440144B2
公开(公告)日：2019-10-08
申请号：US15826462
申请日：2017-11-29
Applicant: Microsoft Technology Licensing, LLC
Inventor： Pingjie Xiao , Shaunak Chatterjee , Shipeng Yu , Ankit Gupta , Swapnil Ghike , Vivek Nelamangala , Banu Muthukumar , Curtis Wang , Parinkumar Shah , Eric Brownrout , Changji Shi
Abstract: A notification platform for distribution of notification content in an on-line social network system, on-line and in near real time, is described. As a new notification is detected in the continuous stream of notifications triggered by time-sensitive events, the near real time notifications distribution system determines member profiles representing potential recipients of the notification by traversing a relationship graph. The relationship graph has nodes representing member profiles, as well as other entities maintained in the on-line social network system. The edges of the relationship graph represent relationships between entities represented by the associated nodes. For each member profile representing a potential recipient of the notification, the near real time notifications distribution system generates a relevance score, which is used to determine whether the notification is to be delivered to the potential recipient.
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公开(公告)号：US20190166224A1
公开(公告)日：2019-05-30
申请号：US15826462
申请日：2017-11-29
Applicant: Microsoft Technology Licensing, LLC
Inventor： Pingjie Xiao , Shaunak Chatterjee , Shipeng Yu , Ankit Gupta , Swapnil Ghike , Vivek Nelamangala , Banu Muthukumar , Curtis Wang , Parinkumar Shah , Eric Brownrout , Changji Shi
CPC classification number: H04L67/306 , H04L41/12 , H04L41/22 , H04L67/26 , H04W4/21
Abstract: A notification platform for distribution of notification content in an on-line social network system, on-line and in near real time, is described. As a new notification is detected in the continuous stream of notifications triggered by time-sensitive events, the near real time notifications distribution system determines member profiles representing potential recipients of the notification by traversing a relationship graph. The relationship graph has nodes representing member profiles, as well as other entities maintained in the on-line social network system. The edges of the relationship graph represent relationships between entities represented by the associated nodes. For each member profile representing a potential recipient of the notification, the near real time notifications distribution system generates a relevance score, which is used to determine whether the notification is to be delivered to the potential recipient.
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