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Preventing the Privacy Problem via Integration of Users Preferences and Semantic Structure

Web recommendation systems are affected by privacy concerns and legislations. In this paper, we suggested integration between abstract users' preferences and the website semantic structure, which enable us to identify users' power of thinking on specific items. Web personalization systems aim to provide users with what they are looking for on a specific web site. Therefore we collected abstract users' preferences, which are used to create users' integrated routes. These integrated routes were injected into the websites semantics. Users' browsing targets are used to identify them, and also they are used to generate personal recommendations. Our experimental results showed that users are highly satisfied with the use of their power of thinking to provide recommendations, instead of using their demographic information.