The TREC-8 Filtering Track Final Report

The TREC-8 Filtering Track Final Report - Figures

The TREC - 8 Filtering Track Final

The TREC-8 ltering track measures the ability of systems to build persistent user prooles which successfully separate relevant and non-relevant documents. It consists of three major subtasks: adaptive ltering, batch ltering, and routing. In adaptive ltering, the system begins with only a topic statement and must learn a better proole from on-line feedback. Batch ltering and routing are more tra...

Microsoft Cambridge at TREC-9: Filtering Track

Apart from a short description of our Query Track contribution, this report is concerned with the Adaptive Filtering track only. There is a separate report in this volume [1] on the Microsoft Research Cambridge participation in QA track. A number of runs were submitted for the Adaptive Filtering track, on all tasks (adaptive filtering, batch filtering and routing; three separate query sets; two...

The TREC–9 Filtering Track Final Report

The TREC–9 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-li...

The TREC 2002 Filtering Track Report

The TREC–11 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents in an incoming stream. 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 be...