Abstract
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems in obtaining the information that they really need. In order to help users in this task of finding relevant information, recommending systems were proposed. They give advice using two methods: the content-based method that extracts information from the already evaluated documents by the user in order to obtain new related documents; the collaborative method that recommends documents to the user based on the evaluation by users with similar information needs. In this paper we analyze some existing Web recommending systems and identify some problems which we try to solve in our system METIOREW.
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Bueno, D., Conejo, R., David, A.A. (2002). METIOREW: An Objective Oriented Content Based and Collaborative Recommending System. In: Reich, S., Tzagarakis, M.M., De Bra, P.M.E. (eds) Hypermedia: Openness, Structural Awareness, and Adaptivity. AH 2001. Lecture Notes in Computer Science, vol 2266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45844-1_28
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DOI: https://doi.org/10.1007/3-540-45844-1_28
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