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Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval Export

In DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries (2001)

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binary bm25 feedback independence information ir language model relevance retrieval slm

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Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback inputs the user's judgements on previously retrieved documents to construct a personalised query or user profile. This paper studies relevance feedback within two probabilistic models of information retrieval: the first based on statistical language models and the second based on the binary independence...


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