Overview - Filtering 1999¶
Proceedings
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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.
Track coordinator(s):
- D. Hull, Xerox Research Centre Europe
- S. Robertson, Microsoft Research
Tasks:
adaptive
: Adaptive filteringbatch
: Batch filteringrouting
: Routing
Track Web Page: https://trec.nist.gov/data/filtering.html