The TREC-8 Filtering Track Final Report

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The TREC-8 Filtering Track Final Report (2001)

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by David A. Hull , Stephen Robertson

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100 - 3 self

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@INPROCEEDINGS{Hull01thetrec-8,
    author = {David A. Hull and Stephen Robertson},
    title = {The TREC-8 Filtering Track Final Report},
    booktitle = {},
    year = {2001},
    pages = {25--40},
    publisher = {}
}

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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.

Keyphrases

trec-8 filtering track final report adaptive filtering batch filtering trec-8 filtering track non-relevant document major subtasks general commentary persistent user profile traditional machine learning task evaluation result topic statement large sample graphical format on-line feedback evaluated training document

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