Exploiting sequential dependencies for expert finding

Pavel Serdyukov; H. Rode; Djoerd Hiemstra

doi:10.1145/1390334.1390508

Exploiting sequential dependencies for expert finding

Pavel Serdyukov, H. Rode, Djoerd Hiemstra

Databases (Former)

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

10 Citations (Scopus)

143 Downloads (Pure)

Abstract

We propose an expert nding method based on sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the strength of relation of a candidate to the document's content depends on its position in this document with respect to the positions of the query terms. The experiments on the ocial Enter- prise TREC data demonstrate the advantage of our method over the method based on independence of query terms and persons in a document.

Original language	Undefined
Title of host publication	Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	795-796
Number of pages	2
ISBN (Print)	978-1-60558-164-4
DOIs	https://doi.org/10.1145/1390334.1390508
Publication status	Published - 20 Jul 2008
Event	31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 - Singapore, Singapore Duration: 20 Jul 2008 → 25 Jul 2008 Conference number: 31

Publication series

Name
Publisher	ACM
Number	1

Conference

Conference	31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008
Abbreviated title	SIGIR
Country/Territory	Singapore
City	Singapore
Period	20/07/08 → 25/07/08

Keywords

DB-IR: INFORMATION RETRIEVAL
IR-62255
METIS-250962
EWI-12308

Access to Document

10.1145/1390334.1390508

http://doi.acm.org/10.1145/1390334.1390508

Cite this

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title = "Exploiting sequential dependencies for expert finding",

abstract = "We propose an expert nding method based on sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the strength of relation of a candidate to the document's content depends on its position in this document with respect to the positions of the query terms. The experiments on the ocial Enter- prise TREC data demonstrate the advantage of our method over the method based on independence of query terms and persons in a document.",

keywords = "DB-IR: INFORMATION RETRIEVAL, IR-62255, METIS-250962, EWI-12308",

author = "Pavel Serdyukov and H. Rode and Djoerd Hiemstra",

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year = "2008",

month = jul,

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isbn = "978-1-60558-164-4",

publisher = "Association for Computing Machinery",

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Serdyukov, P, Rode, H & Hiemstra, D 2008, Exploiting sequential dependencies for expert finding. in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval., 10.1145/1390334.1390508, Association for Computing Machinery, New York, pp. 795-796, 31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, Singapore, 20/07/08. https://doi.org/10.1145/1390334.1390508

Exploiting sequential dependencies for expert finding. / Serdyukov, Pavel; Rode, H.; Hiemstra, Djoerd.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, 2008. p. 795-796 10.1145/1390334.1390508.

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

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AU - Rode, H.

AU - Hiemstra, Djoerd

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N2 - We propose an expert nding method based on sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the strength of relation of a candidate to the document's content depends on its position in this document with respect to the positions of the query terms. The experiments on the ocial Enter- prise TREC data demonstrate the advantage of our method over the method based on independence of query terms and persons in a document.

AB - We propose an expert nding method based on sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the strength of relation of a candidate to the document's content depends on its position in this document with respect to the positions of the query terms. The experiments on the ocial Enter- prise TREC data demonstrate the advantage of our method over the method based on independence of query terms and persons in a document.

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KW - IR-62255

KW - METIS-250962

KW - EWI-12308

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BT - Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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