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In this paper, we introduce a novel methodology for personalized website reconstruction. We combine context and popularity of the web pages and the information of user’s interest from social media. We present an efficient automatic web restructure placing suitable hotlinks between nodes of the generated website’s graph using information of social media contrary to previous studies. In addition, our methodology includes an innovative personalization scheme using a topic modeling approach to texts of users of social media to create a graph of categories. We evaluate our approach counting user’s feedback about the ordering and relevance of

Personalized Hotlink Assignment using Social Networks