Abstract
| 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
Cite this
}
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
TY - GEN
T1 - Enhancing Expert Search Through Query Modeling
AU - Serdyukov, Pavel
AU - Chernov, Sergey
AU - Nejdl, Wolfgang
N1 - 10.1007/978-3-540-71496-5_81
PY - 2007/4
Y1 - 2007/4
N2 - 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.
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
U2 - 10.1007/978-3-540-71496-5_81
DO - 10.1007/978-3-540-71496-5_81
M3 - Conference contribution
SN - 978-3-540-71494-1
T3 - Advances in Information Retrieval
SP - 737
EP - 740
BT - Proceedings of the 29th European Conference on IR Research (ECIR 2007)
PB - Springer
CY - Berlin
ER -