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• W1624842619 abstract "In this paper, we propose a query expansion and weighting method for document filtering to increase precision of the result of Web search engines. Query expansion for document filtering uses ConceptNet, encyclopedia and documents of 10% high similarity. Term weighting method is used for calculation of query-documents similarity. In the first step, we expand an initial query into the first expanded query using ConceptNet and encyclopedia. And then we weight the first expanded query and calculate the first expanded query-documents similarity. Next, we create the second expanded query using documents of top 10% high similarity and calculate the second expanded query- documents similarity. We combine two similarities from the first and the second step. And then we re-rank the documents according to the combined similarities and filter off non-relevant documents with the lower similarity than the threshold. Our experiments showed that our document filtering method results in a notable improvement in the retrieval effectiveness when measured using both precision-recall and F-Measure." @default.
• W1624842619 created "2016-06-24" @default.
• W1624842619 creator A5012415824 @default.
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• W1624842619 date "2003-12-01" @default.
• W1624842619 modified "2023-09-23" @default.
• W1624842619 title "Query Expansion and Term Weighting Method for Document Filtering" @default.
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• W1624842619 doi "https://doi.org/10.3745/kipstb.2003.10b.7.743" @default.
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