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- W2403272450 abstract "Snippet is a summaries information of representing web pages which search engine provides user. Snippet and page rank in search engine abundantly influence user for visiting web pages. User sometime visits the wrong page with respect to user intention when uses snippet. The snippet extraction method is difficult to accurate comprehending user intention. In order to solve above problem, this paper proposes a new snippet extraction method using fuzzy association and pseudo relevance feedback. The proposed method uses pseudo relevance feedback to expand the use's query. It uses the fuzzy association between the expanded query and the web pages to extract snippet to be well reflected semantic user's intention. The experimental results demonstrate that the proposed method can achieve better snippet extraction performance than the other methods." @default.
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- W2403272450 date "2012-01-01" @default.
- W2403272450 modified "2023-09-26" @default.
- W2403272450 title "Personalized Document Snippet Extraction Method using Fuzzy Association and Pseudo Relevance Feedback" @default.
- W2403272450 hasPublicationYear "2012" @default.
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