Invention Grant
- Patent Title: Increasing social media presence using machine-learning relevance techniques
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Application No.: US16838509Application Date: 2020-04-02
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Publication No.: US11276075B2Publication Date: 2022-03-15
- Inventor: Wook Jin Chung , Kiryl Lashuk , Kelly Huffman
- Applicant: Twitter, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Twitter, Inc.
- Current Assignee: Twitter, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N20/00 ; G06Q10/10 ; H04L51/52 ; H04L67/306 ; G06Q50/00
Abstract:
According to an implementation, a method for digital information retrieval in a social media platform includes transmitting, over a network, information to render a timeline of social content for a user of a client application. The timeline of social content includes messages posted on the messaging platform by user accounts that are connected to a user account of the user in a connection graph. The method includes computing, using a machine-learning algorithm inputted with relevance signals, a relevance level between the user account of the user and a user account not linked to the user account of the user in the connection graph, and transmitting information about a profile of the user to a computing device associated with the user account not linked to the user account of the user in response to the relevance level being greater than a threshold level.
Public/Granted literature
- US20200234330A1 INCREASING SOCIAL MEDIA PRESENCE USING MACHINE-LEARNING RELEVANCE TECHNIQUES Public/Granted day:2020-07-23
Information query
