Predictors of high-quality answers

https://hdl.handle.net/10779/rmit.27453375

journal contribution

posted on 2024-11-01, 12:26 authored by Blooma Palathingal, Dion Hoe-Lian Goh, Alton Chua

The purpose of this study is to examine the predictors of high-quality answers in a community-driven question answering service (Yahoo! Answers).

History

Related Materials

1.
DOI - Is published in 10.1108/14684521211241413
2.
ISSN - Is published in 14684527

Journal

Online Information Review

Volume

36

Issue

3

Start page

383

End page

400

Total pages

18

Publisher

Emerald Group Publishing

Place published

Yorkshire, England

Language

English

Copyright

© Emerald Group Publishing Ltd

Former Identifier

2006037578

Esploro creation date

2020-06-22

Fedora creation date

2012-11-02

Usage metrics

Scholarly Works

Categories

Information extraction and fusion

Keywords

Yahoo! answers community-driven question answering internet quality search engines

Licence

All rights reserved

Exports