Abstract
Semantic Web Recommender Systems is more complex than traditional Recommender System in that it raises many new issues such as user profiling, navigation pattern. Semantic Web based Recommender Service aims at combining the two fast-developing research areas Semantic Web and User XQuery. Nevertheless, as the number of web pages increases rapidity, the problem of the information overload becomes increasingly severe when browsing and searching the World Wide Web. To solve this problem, personalization becomes a popular solution to customize the World Wide Web environment towards a user’s preference. The idea is to improve by analyze of user query pattern for recommender service in the Web and to make use for building up the Semantic Web. In this paper, we present a user XQuery method for personalization Service using Semantic Web.
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Kim, J., Lee, E. (2005). Semantic Web Recommender System Based Personalization Service for User XQuery Pattern. In: Deng, X., Ye, Y. (eds) Internet and Network Economics. WINE 2005. Lecture Notes in Computer Science, vol 3828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11600930_86
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DOI: https://doi.org/10.1007/11600930_86
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