Invention Grant
- Patent Title: Deep learning based distribution of content items describing events to users of an online system
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Application No.: US15843913Application Date: 2017-12-15
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Publication No.: US11379715B2Publication Date: 2022-07-05
- Inventor: Lijun Tang , Huihong Zhao
- Applicant: Meta Platforms, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Meta Platforms, Inc.
- Current Assignee: Meta Platforms, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F16/9535 ; H04L67/50 ; H04L67/306 ; H04L67/55 ; G06F16/335 ; H04L67/02

Abstract:
An online system distributes content items describing events to one or more users of the online system. The online system receives, an event from a third-party system, the event associated with one or more content items. The online system determines a vector representation of users based on a first neural network and a vector representation of an event based on a second neural network. The online system jointly trains the first neural network and second neural network based on labels describing user entity relationships. The online system determines a likelihood of attendance of an event by a user based on a distance between the vector representation of the user and the vector representation of the entity. The online system provides the content associated with the event to users of the online system based on the likelihood of attendance of the event by the users.
Public/Granted literature
- US20190188561A1 DEEP LEARNING BASED DISTRIBUTION OF CONTENT ITEMS DESCRIBING EVENTS TO USERS OF AN ONLINE SYSTEM Public/Granted day:2019-06-20
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