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UTILIZING PSEUDO-RELEVANCE FEEDBACK IN FUSION-BASED RETRIEVAL
UTILIZING PSEUDO-RELEVANCE FEEDBACK IN FUSION-BASED RETRIEVAL
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机译：在基于融合的检索中使用伪相关反馈
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摘要
An exemplary method includes: determining a pool of documents, wherein each document is within at least one of a plurality of lists, each of the lists results from executing a query on a corpus, and the corpus comprises at least the pool of documents; determining a first ranking of documents within the pool of documents based at least in part on first scores computed for respective documents within the pool; estimating relevance to the specified query at least of respective documents within the first ranking, wherein the relevance is estimated without user feedback regarding the relevance; and determining a second ranking of documents within the pool based at least in part on second scores computed at least for respective documents within the first ranking, wherein the second score for a given document is computed based at least in part on the estimated relevance of at least the given document.
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