Publications
Authors:
  • David Hull , Stephen Robertson
Citation:
Proceedings of the TREC-8 conference
Abstract:
The TREC-8 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 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 the evaluation results in graphical format, and provides a general
commentary on lessons learned from this year's track.
Year:
2000
Report number:
2000/016