公开(公告)号：US20170249311A1

公开(公告)日：2017-08-31

申请号：US15055220

申请日：2016-02-26

Applicant: Yahoo! Inc.

Inventor： Dan Pelleg ,  Oleg Rokhlenko ,  Idan Szpektor ,  Yuval David Pinter ,  David Carmel ,  Shirin Oskooi ,  Somesh Jain ,  Archit Shrivastava

IPC: G06F17/30 ,  G06N5/02

CPC classification number: 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.

公开(公告)号：US20200090062A1

公开(公告)日：2020-03-19

申请号：US16693825

申请日：2019-11-25

Applicant: Yahoo! Inc.

Inventor： Dan Pelleg ,  Oleg Rokhlenko ,  Idan Szpektor ,  Yuval David Pinter ,  David Carmel ,  Shirin Oskooi ,  Somesh Jain ,  Archit Shrivastava

IPC: 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.