Retrieving people: Identifying potential answerers in Community Question-Answering-Reference-Cited by-同舟云学术

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Retrieving people: Identifying potential answerers in Community Question-Answering

Published:2018-07-18 Issue:10 Volume:69 Page:1246-1258
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Le Long T.¹,Shah Chirag²^ORCID

Affiliation:

1. Department of Computer Science; Rutgers University, 110 Frelinghuysen Road; Piscataway NJ 08854-8019

2. School of Communication and Information; Rutgers University, 4 Huntington Street; New Brunswick NJ 08901-1071

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/asi.24042/fullpdf

Reference51 articles.

1. Adamic , L. A. Zhang , J. Bakshy , E. Ackerman , M. S. 2008 665 674 Beijing, China

2. Andreas , J. Rohrbach , M. Darrell , T. Klein , D. 2016 1545 1554 San Diego, CA

3. Arora , P. Ganguly , D. Jones , G. J. F. 2015 1232 1239 Paris, France

4. Bian , J. Liu , Y. Agichtein , E. Zha , H. 2008 467 476 Beijing, China

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3. Embedding-based team formation for community question answering;Information Sciences;2023-04

4. Combining Latent Factor Model for Dynamic Recommendations in Community Question Answering Forums;Computational Intelligence and Neuroscience;2022-06-24

5. Intern retrieval from community question answering websites: A new variation of expert finding problem;Expert Systems with Applications;2021-11

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