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Discovering authorities in question answer communities by using link analysis

Published: 06 November 2007 Publication History

Abstract

Question-Answer portals such as Naver and Yahoo! Answers are quickly becoming rich sources of knowledge on many topics which are not well served by general web search engines. Unfortunately, the quality of the submitted answers is uneven, ranging from excellent detailed answers to snappy and insulting remarks or even advertisements for commercial content. Furthermore, user feedback for many topics is sparse, and can be insufficient to reliably identify good answers from the bad ones. Hence, estimating the authority of users is a crucial task for this emerging domain, with potential applications to answer ranking, spam detection, and incentive mechanism design. We present an analysis of the link structure of a general-purpose question answering community to discover authoritative users, and promising experimental results over a dataset of more than 3 million answers from a popular community QA site. We also describe structural differences between question topics that correlate with the success of link analysis for authority discovery.

References

[1]
A. Borodin, G. O. Roberts, J. S. Rosenthal and P. Tsaparas, Link Analysis Ranking Algorithms Theory And Experiments. ACM Transactions on Internet Technology, 2005.
[2]
T. H. Haveliwala, Topic-sensitive PageRank. WWW, 2002.
[3]
J. Jeon, W. B. Croft, J. H. Lee, and S. Park, A framework to predict the quality of answers with non-textual features. SIGIR, 2006.
[4]
P. Jurczyk and E. Agichtein. HITS on Question Answer Portals: an Exploration of Link Analysis for Author Ranking. SIGIR, 2007.
[5]
J. M. Kleinberg, Authoritative sources in a hyperlinked environment. Journal of the ACM, 1999.
[6]
X. Liu, W. B. Croft and M. Koll, Finding experts in community-based question-answering services, CIKM, 2005.
[7]
A. McCallum, A. Corrada-Emmanuel and X. Wang, Topic and Role Discovery in Social Networks. IJCAI, 2005.
[8]
L. Nie, B. D. Davison and B. Wu, From Whence Does Your Authority Come? Utilizing Community Relevance in Ranking. AAAI, 2007.
[9]
L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank citation ranking: Bringing order to the web. Stanford Digital Libraries Working Paper, 1998.
[10]
J. Zhang, M. S. Ackerman and L. Adamic. Expertise Networks in Online Communities: Structure and Algorithms. WWW, 2007.

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    cover image ACM Conferences
    CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
    November 2007
    1048 pages
    ISBN:9781595938039
    DOI:10.1145/1321440
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 06 November 2007

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    1. link analysis
    2. question-answer portals

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