Overview - Filtering 2000

Proceedings | Data | Runs | Participants

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-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):

• S. Robertson, Microsoft Research
• D.A. Hull, WhizzBang Labs

Tasks:

• adaptive: Adaptive filtering
• batch: Batch filtering
• routing: Routing

Track Web Page: https://trec.nist.gov/data/filtering/README.t9.filtering

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