Invention Grant
- Patent Title: Machine learning techniques to nurture content creation
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Application No.: US16775620Application Date: 2020-01-29
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Publication No.: US11537911B2Publication Date: 2022-12-27
- Inventor: Chun Lo , Emilie De Longueau , Ankan Saha , Shaunak Chatterjee , Ye Tu
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: NDWE, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

Abstract:
Techniques for nurturing content creation are provided. In one technique, a particular user is identified. Candidate entities are identified based on one or more attributes of the particular user. For each candidate entity, a feedback sensitivity measure of content creation of the candidate entity is determined. The feedback sensitivity measure is generated based on an amount of feedback, from other users, to content that the candidate entity has created. A score is then generated for the candidate entity based on the measure. A ranking of the candidate entities is determined based on the score of each candidate entity. A subset of the candidate entities is selected based on the ranking. The subset of the candidate entities is transmitted over a computer network to be presented on a computing device of the particular user.
Public/Granted literature
- US20210232942A1 MACHINE LEARNING TECHNIQUES TO NURTURE CONTENT CREATION Public/Granted day:2021-07-29
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