What Makes a High-Quality User-Generated Answer?

被引：44

作者：

John, Blooma Mohan ^{[1
]}

Chua, Alton Yeow-Kuan ^{[1
]}

Goh, Dion Hoe-Lian ^{[1
]}

机构：

[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore 639798, Singapore

来源：

IEEE INTERNET COMPUTING | 2011年 / 15卷 / 01期

关键词：

RELEVANCE;

D O I：

10.1109/MIC.2011.23

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Community-driven question-answering (CQA) services on the Internet let users share content in the form of questions and answers. Usually, questions attract multiple answers of varying quality from other users. A new approach aims to identify high-quality answers from candidate answers to questions that are semantically similar to the new question. Toward that end, the authors developed and tested a quality framework comprising social, textual, and content-appraisal features of user-generated answers in CQA services. Logistic-regression analysis revealed that content-appraisal features were the strongest predictor of quality. These features include dimensions such as comprehensiveness, truthfulness, and practicality.

引用

页码：66 / 71

页数：6

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