Enhancing Expert Search Through Query Modeling

Pavel Serdyukov; Sergey Chernov; Wolfgang Nejdl

doi:10.1007/978-3-540-71496-5_81

Enhancing Expert Search Through Query Modeling

Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps to improve traditional document retrieval, so we propose to apply it in a new setting. We adopt a general framework of language modeling for expert finding. We show how expert language models can be used for advanced query modeling. A preliminary experimental evaluation on TREC Enterprise Track 2006 collection shows that our method improves the retrieval precision on the expert finding task.

Original language	Undefined
Title of host publication	Proceedings of the 29th European Conference on IR Research (ECIR 2007)
Place of Publication	Berlin
Publisher	Springer
Pages	737-740
Number of pages	4
ISBN (Print)	978-3-540-71494-1
DOIs	https://doi.org/10.1007/978-3-540-71496-5_81
Publication status	Published - Apr 2007
Event	29th European Conference on Information Retrieval, ECIR 2007: (IR Resarch) - Rome, Italy Duration: 2 Apr 2007 → 5 Apr 2007 Conference number: 29

Publication series

Name	Advances in Information Retrieval
Publisher	Springer Verlag
Number	128
Volume	4425
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	29th European Conference on Information Retrieval, ECIR 2007
Abbreviated title	ECIR
Country/Territory	Italy
City	Rome
Period	2/04/07 → 5/04/07

Keywords

EWI-10420
IR-61786
METIS-241755

Access to Document

10.1007/978-3-540-71496-5_81

http://eprints.eemcs.utwente.nl/secure2/10420/01/fulltext.pdf

Cite this

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title = "Enhancing Expert Search Through Query Modeling",

abstract = "An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps to improve traditional document retrieval, so we propose to apply it in a new setting. We adopt a general framework of language modeling for expert finding. We show how expert language models can be used for advanced query modeling. A preliminary experimental evaluation on TREC Enterprise Track 2006 collection shows that our method improves the retrieval precision on the expert finding task.",

keywords = "EWI-10420, IR-61786, METIS-241755",

author = "Pavel Serdyukov and Sergey Chernov and Wolfgang Nejdl",

note = "10.1007/978-3-540-71496-5_81 ; null ; Conference date: 02-04-2007 Through 05-04-2007",

year = "2007",

month = apr,

doi = "10.1007/978-3-540-71496-5_81",

language = "Undefined",

isbn = "978-3-540-71494-1",

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Serdyukov, P, Chernov, S & Nejdl, W 2007, Enhancing Expert Search Through Query Modeling. in Proceedings of the 29th European Conference on IR Research (ECIR 2007)., 10.1007/978-3-540-71496-5_81, Advances in Information Retrieval, no. 128, vol. 4425, Springer, Berlin, pp. 737-740, 29th European Conference on Information Retrieval, ECIR 2007, Rome, Italy, 2/04/07. https://doi.org/10.1007/978-3-540-71496-5_81

Enhancing Expert Search Through Query Modeling. / Serdyukov, Pavel; Chernov, Sergey; Nejdl, Wolfgang.

Proceedings of the 29th European Conference on IR Research (ECIR 2007). Berlin : Springer, 2007. p. 737-740 10.1007/978-3-540-71496-5_81 (Advances in Information Retrieval; Vol. 4425, No. 128).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps to improve traditional document retrieval, so we propose to apply it in a new setting. We adopt a general framework of language modeling for expert finding. We show how expert language models can be used for advanced query modeling. A preliminary experimental evaluation on TREC Enterprise Track 2006 collection shows that our method improves the retrieval precision on the expert finding task.

KW - EWI-10420

KW - IR-61786

KW - METIS-241755

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