- 专利标题： Machine learning for targeting help content
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申请号： US18071350申请日： 2022-11-29
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公开(公告)号： US12039351B2公开(公告)日： 2024-07-16
- 发明人: Andrew Timmons , Fiona Condon , Joel Bartlett , Elijah Joseph-Young , Jason Kranker , Mihailo Milic , Shreya Mohan Shetty
- 申请人： Salesforce, Inc.
- 申请人地址： US CA San Francisco
- 专利权人： Salesforce, Inc.
- 当前专利权人： Salesforce, Inc.
- 当前专利权人地址： US CA San Francisco
- 代理机构： Lee & Hayes, P.C.
- 主分类号： G06F9/451
- IPC分类号： G06F9/451
摘要：
Media, methods, and systems of recommending personalized help content within a group-based communication system. A machine learning model trained with prior user interaction data and historical user engagement data is used to generate a list of recommended help content based at least in part on received user interaction data for a user.
公开/授权文献
- US20240176630A1 MACHINE LEARNING FOR TARGETING HELP CONTENT 公开/授权日：2024-05-30
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