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 | |
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 | Italy |
City | Rome |
Period | 2/04/07 → 5/04/07 |
Keywords
- EWI-10420
- IR-61786
- METIS-241755