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- W2109495990 abstract "Recommender system can predict and recommend end users their probably most interesting commodities after abstracting their interest and preference through their browsing information. In this paper, we accordingly abstract user preference to predict the users’ coming access webpage to prefetch them. Through an optimized clustering and sequence mining algorithm, a recommender system is realized to predict user preference webpage. Experiments prove the precision and applicability of system" @default.
- W2109495990 created "2016-06-24" @default.
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- W2109495990 date "2009-05-01" @default.
- W2109495990 modified "2023-10-18" @default.
- W2109495990 title "A Web Prediction Pattern Recommendation Algorithm" @default.
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- W2109495990 doi "https://doi.org/10.1109/icnds.2009.145" @default.
- W2109495990 hasPublicationYear "2009" @default.
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