24 December 2013 Design of personalized search engine based on user-webpage dynamic model
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Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90672E (2013) https://doi.org/10.1117/12.2052976
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom
Abstract
Personalized search engine focuses on establishing a user-webpage dynamic model. In this model, users' personalized factors are introduced so that the search engine is better able to provide the user with targeted feedback. This paper constructs user and webpage dynamic vector tables, introduces singular value decomposition analysis in the processes of topic categorization, and extends the traditional PageRank algorithm.
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Jihan Li, Shanglin Li, Yingke Zhu, Bo Xiao, "Design of personalized search engine based on user-webpage dynamic model", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90672E (24 December 2013); doi: 10.1117/12.2052976; https://doi.org/10.1117/12.2052976
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