- Incorporating non-relevance information in the estimation of query models
- 17th Text REtrieval Conference (TREC 2008), Gaithersburg, MD, USA
- Book/source title
- The seventeenth Text REtrieval Conference (TREC 2008) proceedings
- Gaithersburg, MD, USA: National Institute of Standards and Technology (NIST)
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
We describe the participation of the University of Amsterdam’s ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates information from relevant and non-relevant documents to improve the estimation of query models. Our main findings are twofold: (i) in terms of statMAP, a larger number of judged non-relevant documents improves retrieval effectiveness and (ii) on the TREC Terabyte topics, we can effectively replace the estimates on the judged non-relevant documents with estimations on the document collection.
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