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A CDD-based formal model for expert finding

Authors:

Shaoping MaAuthors Info & Claims

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Pages 881 - 884

https://doi.org/10.1145/1321440.1321566

Published: 06 November 2007 Publication History

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Abstract

Searching an organization's document repositories for experts is a frequently faced problem in intranet information management. This paper proposes a candidate-centered model which is referred as Candidate Description Document (CDD)-based retrieval model. The expertise evidence about an expert candidate scattered over repositories is mined and aggregated automatically to form a profile called the candidate's CDD, which represents his knowledge. We present the model from its foundations through its logical development and argue in favor of this model for expert finding. We devise and compare the different strategies for exploring a variety of expertise evidence. The experiments on TREC enterprise corpora demonstrate that the CDD-based model achieves significant and consistent improvement on performance through comparative studies with non-CDD methods.

References

[1]

N. Craswell, D. Hawking, Anne-Marie Vercoustre, Peter Wilkins, P@NOPTIC Expert: Searching for Experts not just for Documents, CSIRO, Australia 2003

Google Scholar

[2]

Y. Fu, W. Yu, Y. Li, Y. Liu, M. Zhang, and S. Ma. THUIR at TREC 2005: Enterprise track. In Voorhees and Buckland.

Google Scholar

[3]

K. S. Jones, S. Walker, and S. E. Robertson. A probabilistic model of information retrieval: Development and comparative experiments. Information Processing and Management, 2000.

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[4]

V. N. Vapnik, Statistical Learning Theory, John Wiley & Sons, 1998.

Google Scholar

[5]

TREC. Enterprise track, 2005 and 2006. URL: http://www.ins.cwi.nl/projects/trec-ent/wiwk/.

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Cited By

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Al-Taie MKadry SObasa A(2018)Understanding expert finding systems: domains and techniquesSocial Network Analysis and Mining10.1007/s13278-018-0534-x8:1Online publication date: 30-Aug-2018
https://doi.org/10.1007/s13278-018-0534-x
Wang XHuang CYao LBenatallah BDong M(2018)A Survey on Expert Recommendation in Community Question AnsweringJournal of Computer Science and Technology10.1007/s11390-018-1845-033:4(625-653)Online publication date: 13-Jul-2018
https://doi.org/10.1007/s11390-018-1845-0
Wang JSun JLin HDong HZhang S(2016)Predicting Best Answerers for New Questions: An Approach Leveraging Convolution Neural Networks in Community Question AnsweringSocial Media Processing10.1007/978-981-10-2993-6_3(29-41)Online publication date: 19-Oct-2016
https://doi.org/10.1007/978-981-10-2993-6_3
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Index Terms

A CDD-based formal model for expert finding
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

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

Co-chair:
Alberto H. F. Laender,
Conference Chairs:
André O. Falcão
Universidade de Lisboa, Portugal
,
Øystein Haug Olsen,
General Chair:
Mário J. Silva
(Universidade de Lisboa, Portugal)
,
Program Chairs:
Ricardo Baeza-Yates,
Deborah L. McGuinness,
Bjorn Olstad

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

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CIKM07

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CIKM07: Conference on Information and Knowledge Management

November 6 - 10, 2007

Lisbon, Portugal

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

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Cited By

View all

Al-Taie MKadry SObasa A(2018)Understanding expert finding systems: domains and techniquesSocial Network Analysis and Mining10.1007/s13278-018-0534-x8:1Online publication date: 30-Aug-2018
https://doi.org/10.1007/s13278-018-0534-x
Wang XHuang CYao LBenatallah BDong M(2018)A Survey on Expert Recommendation in Community Question AnsweringJournal of Computer Science and Technology10.1007/s11390-018-1845-033:4(625-653)Online publication date: 13-Jul-2018
https://doi.org/10.1007/s11390-018-1845-0
Wang JSun JLin HDong HZhang S(2016)Predicting Best Answerers for New Questions: An Approach Leveraging Convolution Neural Networks in Community Question AnsweringSocial Media Processing10.1007/978-981-10-2993-6_3(29-41)Online publication date: 19-Oct-2016
https://doi.org/10.1007/978-981-10-2993-6_3
Wei CLin WChen HAn WYeh W(2015)Finding experts in online forums for enhancing knowledge sharing and accessibilityComputers in Human Behavior10.1016/j.chb.2015.04.05551:PA(325-335)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1016/j.chb.2015.04.055
Alarfaj FKruschwitz UFox C(2015)Experiments with Query Expansion for Entity FindingComputational Linguistics and Intelligent Text Processing10.1007/978-3-319-18117-2_31(417-426)Online publication date: 2015
https://doi.org/10.1007/978-3-319-18117-2_31
Lin LXu ZDing YLiu X(2013)Finding topic-level experts in scholarly networksScientometrics10.1007/s11192-013-0988-697:3(797-819)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s11192-013-0988-6
Jiang PYang QZhang CNiu ZFu H(2012)A Relation Pattern-Driven Probability Model for Related Entity RetrievalInternational Journal of Knowledge and Systems Science10.4018/jkss.20120101053:1(64-77)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.4018/jkss.2012010105
Riahi FZolaktaf ZShafiei MMilios EMille AGandon FMisselis JRabinovich MStaab S(2012)Finding expert users in community question answeringProceedings of the 21st International Conference on World Wide Web10.1145/2187980.2188202(791-798)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187980.2188202
Jiang PYang QZhang CNiu ZFu H(2011)A probability model for related entity retrieval using relation patternProceedings of the 5th international conference on Knowledge Science, Engineering and Management10.1007/978-3-642-25975-3_28(318-330)Online publication date: 12-Dec-2011
https://dl.acm.org/doi/10.1007/978-3-642-25975-3_28
Guo JXu SBao SYu YShanahan JAmer-Yahia SManolescu IZhang YEvans DKolcz AChoi KChowdury A(2008)Tapping on the potential of q&a community by recommending answer providersProceedings of the 17th ACM conference on Information and knowledge management10.1145/1458082.1458204(921-930)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.1145/1458082.1458204

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