XQuery Pattern Method for Semantic Web based Personalization Recommender Service

نویسندگان

  • JinHong Kim
  • EunSeok Lee
چکیده

As the number of web pages increases dramatically, the problem of the information overload becomes more severe when browsing and searching the WWW. To alleviate this problem, personalization becomes a popular remedy to customize the Web environment towards a user’s preference. In this paper, we presented a User XQuery method for personalization recommendation in semantic web that used in the domain of e-commerce and m-commerce based ubiquitous environment. Also, we designed personalization framework in ubiquitous environment based both ecommerce and m-commerce and presented the interaction of user profile including user keyword and XQuery pattern in semantic web. Keyword: Personalization, User XQuery, Recommendation, User Profile, Semantic Web.

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تاریخ انتشار 2006