A comparison of two methods for Boolean query relevancy feedback
Information Processing and Management: an International Journal
Probabilistic methods for ranking output documents in conventional Boolean retrieval systems
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Incorporation of relevance feedback into Boolean retrieval systems
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A survey on the use of relevance feedback for information access systems
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Relevance feedback, which modifies queries using judgements of the relevance of a few, highly-ranked documents, has historically been an important method for increasing the performance of information retrieval systems. In this paper, we extend the inference network model introduced by Turtle and Croft to include relevance feedback techniques. The difference between relevance feedback on text abstracts and full text collections is studied. Preliminary results for relevance feedback on the structured queries supported by the inference net model are also reported.