Minatory
发表于 2025-3-30 11:35:24
A Component-Level Analysis of an Academic Search Test Collection.tion setting presented in a parallel paper, analyses of the recall base and the semantic heterogeneity of queries and documents were used for performance prediction. The study finds that neither the recall base, query specificity nor ambiguity can predict the overall search performance or identify b
流眼泪
发表于 2025-3-30 13:51:43
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Density
发表于 2025-3-30 19:13:58
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Vldl379
发表于 2025-3-30 21:24:30
IRIT-QFR: IRIT Query Feature Resource linguistics features that can be calculated from the query itself, prior to any search although some are collection-dependent and post-retrieval features that imply the query has been evaluated over the target collection. This paper presents the two types of features that we have estimated as well
MITE
发表于 2025-3-31 01:28:11
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小说
发表于 2025-3-31 08:41:32
Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embeddingtch problem. Two alternative QE approaches: i) pseudo relevance feedback (PRF), using Robertson term selection, and ii) word embeddings (WE) of query words, are explored. Experiments are carried out on the WebAP data set developed using the TREC GOV2 collection. Experimental results using P@10, NDCG
白杨
发表于 2025-3-31 10:17:01
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