Stefan Büttcher
ABSTRACT
We propose an integration of term proximity scoring into Okapi BM25. The relative retrieval effectiveness of our retrieval method, compared to pure BM25, varies from collection to collection.We present an experimental evaluation of our method and show that the gains achieved over BM25 as the size of the underlying text collection increases. We also show that for stemmed queries the impact of term proximity scoring is larger than for unstemmed queries.
- Y. Rasolofo and J. Savoy. Term Proximity Scoring for Keyword-Based Retrieval Systems. In Proceedings of the 25th European Conference on IR Research (ECIR 2003) pages 207--218, April 2003. Google Scholar
Digital Library
- S. E. Robertson, S. Walker, and M. Hancock-Beaulieu. Okapi at TREC-7. In Proceedings of the Seventh Text REtrieval Conference Gaithersburg, USA, November 1998.Google Scholar
- S. E. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, and M. Gatford. Okapi at TREC-3. In Proceedings of the Third Text REtrieval Conference Gaithersburg, USA, November 1994.Google Scholar
Index Terms
- Term proximity scoring for ad-hoc retrieval on very large text collections
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