Invention Application
- Patent Title: QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT
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Application No.: US15055220Application Date: 2016-02-26
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Publication No.: US20170249311A1Publication Date: 2017-08-31
- Inventor: Dan Pelleg , Oleg Rokhlenko , Idan Szpektor , Yuval David Pinter , David Carmel , Shirin Oskooi , Somesh Jain , Archit Shrivastava
- Applicant: Yahoo! Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N5/02

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.
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