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The TREC-2001 Filtering Track Report



S E. Robertson, Ian Soboroff


The TREC-10 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents. It consists of three major subtasks: adaptive filtering, batch filtering, and routing. In adaptive filtering, the system begins with only a topic statement and a small number of positive examples, and must learn a better profile from on- line feedback. Batch filtering and routing are more traditional machine learning tasks where the system begins with a large sample of evaluated training documents. This report describes the track, presents some evaluation results, and provides a general commentary on lessons learned from this year¿s track.


Robertson, S. and Soboroff, I. (2002), The TREC-2001 Filtering Track Report, OTHER, National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed June 21, 2024)


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Created March 31, 2002, Updated October 12, 2021