Spectral filtering for resource discovery
نویسندگان
چکیده
We develop a technique we call spectral filtering, for discovering high-quality topical resources in hyperlinked corpora. Through relevance and quality judgements collected from 37 users, we show that, over 26 topics, spectral filtering usually finds web pages that are rated better than those returned by the hand-compiled Yahoo! resource list, and by the Altavista search engine.
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