Abstract
The goal of personalized search is to provide user with results that accurately satisfy their specific goal of the search. In this paper, a hybrid personalized search re-ranking approach is proposed to provide users with results reordered according to their interests. User preferences are automatically learned into a concept-based user profile. This profile is then employed in the re-ranking process with other information resources to personalize results. Our experiments have shown interesting results in enhancing the quality of web search.
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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Fathy, N., Badr, N., Gharib, T. (2014). Personalized Web Search Ranking Based on Different Information Resources. In: Das, V.V., Elkafrawy, P. (eds) Signal Processing and Information Technology. SPIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-319-11629-7_31
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DOI: https://doi.org/10.1007/978-3-319-11629-7_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11628-0
Online ISBN: 978-3-319-11629-7
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