Incorporating Non-Relevance Information in the Estimation of Query Models

: 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.

• Type: Conference
• Year: 2008
• Where: TREC
• Authors: Edgar Meij, Wouter Weerkamp, Jiyin He, Maarten de Rijke
• Keywords: Amsterdam's ILPS Group, Information Technology, Non-relevant Documents, TREC 2008, TREC Terabyte Topics