Invention Grant
- Patent Title: Quality-based scoring and inhibiting of user-generated content
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Application No.: US16693825Application Date: 2019-11-25
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Publication No.: US11455553B2Publication Date: 2022-09-27
- Inventor: Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
- Applicant: YAHOO ASSETS LLC
- Applicant Address: US VA Dulles
- Assignee: YAHOO ASSETS LLC
- Current Assignee: YAHOO ASSETS LLC
- Current Assignee Address: US VA Dulles
- Agency: Cooper Legal Group LLC
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N5/04

Abstract:
Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
Public/Granted literature
- US20200090062A1 QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT Public/Granted day:2020-03-19
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