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Improving question recommendation by exploiting information need

Authors:

Suresh ManandharAuthors Info & Claims

HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1

Pages 1425 - 1434

Published: 19 June 2011 Publication History

Abstract

In this paper we address the problem of question recommendation from large archives of community question answering data by exploiting the users' information needs. Our experimental results indicate that questions based on the same or similar information need can provide excellent question recommendation. We show that translation model can be effectively utilized to predict the information need given only the user's query question. Experiments show that the proposed information need prediction approach can improve the performance of question recommendation.

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Cited By

Hong BKim Y(2016)A Weighted Question Retrieval Model using Descriptive Information in Community Question AnsweringProceedings of the International Conference on Research in Adaptive and Convergent Systems10.1145/2987386.2987434(35-39)Online publication date: 11-Oct-2016
https://dl.acm.org/doi/10.1145/2987386.2987434
Wu HWu WZhou MChen EDuan LShum HCarterette BDiaz FCastillo CMetzler D(2014)Improving search relevance for short queries in community question answeringProceedings of the 7th ACM international conference on Web search and data mining10.1145/2556195.2556239(43-52)Online publication date: 24-Feb-2014
https://dl.acm.org/doi/10.1145/2556195.2556239
Chen TCai JWang HDong YCho YShin SKim SHung CHong J(2014)Instant expert huntingProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2554915(260-265)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2554850.2554915
Show More Cited By

Index Terms

Improving question recommendation by exploiting information need
1. Applied computing
  1. Arts and humanities
    1. Language translation
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1

June 2011

1696 pages

ISBN:9781932432879

General Chair:
Dekang Lin
Google

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 19 June 2011

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Overall Acceptance Rate 240 of 768 submissions, 31%

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Cited By

Hong BKim Y(2016)A Weighted Question Retrieval Model using Descriptive Information in Community Question AnsweringProceedings of the International Conference on Research in Adaptive and Convergent Systems10.1145/2987386.2987434(35-39)Online publication date: 11-Oct-2016
https://dl.acm.org/doi/10.1145/2987386.2987434
Wu HWu WZhou MChen EDuan LShum HCarterette BDiaz FCastillo CMetzler D(2014)Improving search relevance for short queries in community question answeringProceedings of the 7th ACM international conference on Web search and data mining10.1145/2556195.2556239(43-52)Online publication date: 24-Feb-2014
https://dl.acm.org/doi/10.1145/2556195.2556239
Chen TCai JWang HDong YCho YShin SKim SHung CHong J(2014)Instant expert huntingProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2554915(260-265)Online publication date: 24-Mar-2014
https://dl.acm.org/doi/10.1145/2554850.2554915
Yang LQiu MGottipati SZhu FJiang JSun HChen ZHe QIyengar ANejdl WPei JRastogi R(2013)CQArankProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505720(99-108)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505720
Zhou TLyu MKing IMille AGandon FMisselis JRabinovich MStaab S(2012)A classification-based approach to question routing in community question answeringProceedings of the 21st International Conference on World Wide Web10.1145/2187980.2188201(783-790)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187980.2188201
Shmueli EKagian AKoren YLempel RMille AGandon FMisselis JRabinovich MStaab S(2012)Care to comment?Proceedings of the 21st international conference on World Wide Web10.1145/2187836.2187895(429-438)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187836.2187895

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