Abstract
The focus of research on query performance prediction is to predict the effectiveness of a query given a search system and a collection of documents. If the performance of queries can be estimated in advance of, or during the retrieval stage, specific measures can be taken to improve the overall performance of the system. In particular, pre-retrieval predictors predict the query performance before the retrieval step and are thus independent of the ranked list of results; such predictors base their predictions solely on query terms, the collection statistics and possibly external sources such as WordNet. In this poster, 22 pre-retrieval predictors are categorized and assessed on three different TREC test collections.
Original language | Undefined |
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Title of host publication | CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining |
Place of Publication | Napa Valley, California, USA |
Publisher | Association for Computing Machinery |
Pages | 1419-1420 |
Number of pages | 2 |
ISBN (Print) | 978-1-59593-991-3 |
DOIs | |
Publication status | Published - 2008 |
Event | 17th ACM Conference on Information and Knowledge Management, CIKM 2008 - Napa Valley, United States Duration: 26 Oct 2008 → 30 Oct 2008 Conference number: 17 |
Publication series
Name | |
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Publisher | ACM |
Number | 08332 |
Conference
Conference | 17th ACM Conference on Information and Knowledge Management, CIKM 2008 |
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Abbreviated title | CIKM |
Country/Territory | United States |
City | Napa Valley |
Period | 26/10/08 → 30/10/08 |
Keywords
- IR-62542
- CR-H.3.3
- METIS-252113
- EWI-14113