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A study of the relationship between ad hoc retrieval and expert finding in enterprise environment

Author:

Jianhan ZhuAuthors Info & Claims

WIDM '08: Proceedings of the 10th ACM workshop on Web information and data management

Pages 25 - 30

https://doi.org/10.1145/1458502.1458507

Published: 30 October 2008 Publication History

Abstract

Ad hoc retrieval returns a ranked list of documents in response to a search query, while expert finding returns a ranked list of people in response to an expertise request in the form of a search query, e.g., "information retrieval". In current state of the art expert finding approaches, ad hoc retrieval is a key component for locating documents relevant to the expertise request. While ad hoc retrieval has been well researched in information retrieval, no previous work has been carried out on the effects of document retrieval in expert finding. The main contribution of this paper is that we are the first to study the effect of document retrieval in expert finding via a background smoothing parameter in a language modeling approach and two document features, namely, anchor text and indegree. Our research gives insight into how to design an effective approach for both ad hoc retrieval and expert finding in enterprise environment. Our experiments on the TREC (Text REtrieval Conference) 2007 Enterprise Track CSIRO (Australian Commonwealth Scientific and Research Organization) dataset shows that background smoothing helps improve ad hoc retrieval but does not help or even hurt expert finding, anchor text helps expert finding but hurt ad hoc retrieval when weighted high, and indegree helps expert finding but does not help improve ad hoc retrieval significantly.

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Cited By

Zhu JHuang XSong DRüger S(2010)Integrating multiple document features in language models for expert findingKnowledge and Information Systems10.5555/3225669.322601723:1(29-54)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.5555/3225669.3226017
Zhang WMa JZhong Y(2009)Using Kullback-Leibler Divergence Language Models to Find Experts in Enterprise CorporaProceedings of the 2009 Third International Symposium on Intelligent Information Technology Application Workshops10.1109/IITAW.2009.117(402-405)Online publication date: 21-Nov-2009
https://dl.acm.org/doi/10.1109/IITAW.2009.117
Zhu JHuang XSong DRüger S(2009)Integrating multiple document features in language models for expert findingKnowledge and Information Systems10.1007/s10115-009-0202-623:1(29-54)Online publication date: 26-Mar-2009
https://doi.org/10.1007/s10115-009-0202-6
Show More Cited By

Index Terms

A study of the relationship between ad hoc retrieval and expert finding in enterprise environment
1. Information systems
  1. Information retrieval
    1. Document representation

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Published In

cover image ACM Conferences

WIDM '08: Proceedings of the 10th ACM workshop on Web information and data management

October 2008

164 pages

ISBN:9781605582603

DOI:10.1145/1458502

Program Chairs:
Chee-Yong Chan
National University of Singapore, Singapore
,
Neoklis Polyzotis
University of California-Santa Cruz, USA

Copyright © 2008 ACM.

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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Publication History

Published: 30 October 2008

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CIKM08

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CIKM08: Conference on Information and Knowledge Management

October 30, 2008

California, Napa Valley, USA

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

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Cited By

Zhu JHuang XSong DRüger S(2010)Integrating multiple document features in language models for expert findingKnowledge and Information Systems10.5555/3225669.322601723:1(29-54)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.5555/3225669.3226017
Zhang WMa JZhong Y(2009)Using Kullback-Leibler Divergence Language Models to Find Experts in Enterprise CorporaProceedings of the 2009 Third International Symposium on Intelligent Information Technology Application Workshops10.1109/IITAW.2009.117(402-405)Online publication date: 21-Nov-2009
https://dl.acm.org/doi/10.1109/IITAW.2009.117
Zhu JHuang XSong DRüger S(2009)Integrating multiple document features in language models for expert findingKnowledge and Information Systems10.1007/s10115-009-0202-623:1(29-54)Online publication date: 26-Mar-2009
https://doi.org/10.1007/s10115-009-0202-6
Zhang WChang LMa JZhong Y(2009)Aggregation Models for People Finding in Enterprise CorporaProceedings of the 3rd International Conference on Knowledge Science, Engineering and Management10.1007/978-3-642-10488-6_20(180-191)Online publication date: 17-Nov-2009
https://dl.acm.org/doi/10.1007/978-3-642-10488-6_20

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