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It pays to be picky: an evaluation of thread retrieval in online forums

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SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Pages 714 - 715

https://doi.org/10.1145/1571941.1572092

Published: 19 July 2009 Publication History

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Abstract

Online forums host a rich information exchange, often with contributions from many subject matter experts. In this work we evaluate algorithms for thread retrieval in a large and active online forum community. We compare methods that utilize thread structure to a naïve method that treats a thread as a single document. We find that thread structure helps, and additionally selective methods of thread scoring, which only use evidence from a small number of messages in the thread, significantly and consistently outperform inclusive methods which use all the messages in the thread.

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Cited By

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Prabowo DBudi Herwanto G(2019)Duplicate Question Detection in Question Answer Website using Convolutional Neural Network2019 5th International Conference on Science and Technology (ICST)10.1109/ICST47872.2019.9166343(1-6)Online publication date: Jul-2019
https://doi.org/10.1109/ICST47872.2019.9166343
Ismail ZSalim NHuspi S(2017)Understanding human quality judgment in assessing online forum contents for thread retrieval purpose10.1063/1.5005400(020067)Online publication date: 2017
https://doi.org/10.1063/1.5005400
Faisal CDaud AImran FRho S(2016)A novel framework for social web forums' thread ranking based on semantics and post quality featuresThe Journal of Supercomputing10.1007/s11227-016-1839-z72:11(4276-4295)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1007/s11227-016-1839-z
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Online communities are valuable information sources where knowledge is accumulated by interactions between people. Search services provided by online community sites such as forums are often, however, quite poor. To address this, we investigate ...

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Published In

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

July 2009

896 pages

ISBN:9781605584836

DOI:10.1145/1571941

General Chairs:
James Allan
University of Massachusetts Amherst, USA
,
Javed Aslam
Northeastern University, USA
,
Program Chairs:
Mark Sanderson
University of Sheffield, UK
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Justin Zobel
University of Melbourne, Australia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2009

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SIGIR '09

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SIGIR '09: The 32nd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2009

MA, Boston, USA

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Prabowo DBudi Herwanto G(2019)Duplicate Question Detection in Question Answer Website using Convolutional Neural Network2019 5th International Conference on Science and Technology (ICST)10.1109/ICST47872.2019.9166343(1-6)Online publication date: Jul-2019
https://doi.org/10.1109/ICST47872.2019.9166343
Ismail ZSalim NHuspi S(2017)Understanding human quality judgment in assessing online forum contents for thread retrieval purpose10.1063/1.5005400(020067)Online publication date: 2017
https://doi.org/10.1063/1.5005400
Faisal CDaud AImran FRho S(2016)A novel framework for social web forums' thread ranking based on semantics and post quality featuresThe Journal of Supercomputing10.1007/s11227-016-1839-z72:11(4276-4295)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1007/s11227-016-1839-z
Li LYe JDeng FXiong SZhong L(2016)A comparison study of clustering algorithms for microblog postsCluster Computing10.1007/s10586-016-0589-219:3(1333-1345)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s10586-016-0589-2
Bhatia SBiyani PMitra P(2016)Identifying the role of individual user messages in an online discussion and its use in thread retrievalJournal of the Association for Information Science and Technology10.1002/asi.2337367:2(276-288)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1002/asi.23373
Koolen MBogers Tvan den Bosch AKamps J(2015)Looking for Books in Social Media: An Analysis of Complex Search RequestsAdvances in Information Retrieval10.1007/978-3-319-16354-3_19(184-196)Online publication date: 2015
https://doi.org/10.1007/978-3-319-16354-3_19
Cook JDas AKenthapadi KMishra NSala AGoel AGummadi K(2014)Ranking Twitter discussion groupsProceedings of the second ACM conference on Online social networks10.1145/2660460.2660473(177-190)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1145/2660460.2660473
Cho JSondhi PZhai CSchatz BBaldi PWang W(2014)Resolving healthcare forum posts via similar thread retrievalProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2649399(33-42)Online publication date: 20-Sep-2014
https://dl.acm.org/doi/10.1145/2649387.2649399
Lee JYang MRim H(2014)Discovering High-Quality Threaded Discussions in Online ForumsJournal of Computer Science and Technology10.1007/s11390-014-1446-529:3(519-531)Online publication date: 17-May-2014
https://doi.org/10.1007/s11390-014-1446-5
Albaham ASalim NCulpepper SZuccon GSitbon L(2013)Quality biased thread retrieval using the voting modelProceedings of the 18th Australasian Document Computing Symposium10.1145/2537734.2537752(97-100)Online publication date: 5-Dec-2013
https://dl.acm.org/doi/10.1145/2537734.2537752
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