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Web personalization can be seen as an interdisciplinary field whose objective is to facilitate the interaction between web content and user's needs. It includes per definition several research domains from social to information sciences. The personalized search focuses on integrating the user context and needs in the information retrieval process. In this context, this paper presents a User network modeling-based spatial web personalization system that constructs a users' model network. The idea is to provide user with personalized results based on his model and on the neighbor users' models using similarity measures.
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