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J. J. Rocchio and Relevance Feedback: Teaching a Search Engine from User Judgments
Rocchio relevance feedback showed how a search system could move a query toward documents a user judged relevant and away from those judged nonrelevant.
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Rocchio relevance feedback showed how a search system could move a query toward documents a user judged relevant and away from those judged nonrelevant.
Query expansion evolved from hand-built thesauri and feedback into probabilistic relevance models that estimate which words are likely to characterize the user's hidden information need.