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» Set-based model: a new approach for information retrieval
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SIGIR
1998
ACM
15 years 11 months ago
Improving Automatic Query Expansion
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via adhoc feedback improves the retrieval e ectiveness of such ...
Mandar Mitra, Amit Singhal, Chris Buckley
CIKM
2007
Springer
16 years 25 days ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
NLUCS
2008
15 years 8 months ago
Ontology-driven Vaccination Information Extraction
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest ...
Liliana Ferreira, António Teixeira, Jo&atil...
SIGIR
2005
ACM
16 years 6 days ago
Self-organizing distributed collaborative filtering
We propose a fully decentralized collaborative filtering approach that is self-organizing and operates in a distributed way. The relevances between downloading files (items) are...
Jun Wang, Marcel J. T. Reinders, Reginald L. Lagen...
SIGIR
2006
ACM
16 years 18 days ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...