Abstract
The PhD research presented in this paper addresses some of the problems involved in creating a context-aware personalized service. Our main interest is in the steps of defining, detecting, acquiring and using real and relevant context of users. Our goals are to: collect and publish a context-rich movie recommender database, add theoretical requirements for contextual information in existing definitions of context, develop a methodology for relevant-context detection and inspect the impact of relevant and irrelevant context on the rating prediction using the matrix-factorization algorithm. This paper presents the work done so far and future plans with open issues.
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Odić, A. (2012). Detecting, Acquiring and Exploiting Contextual Information in Personalized Services. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds) User Modeling, Adaptation, and Personalization. UMAP 2012. Lecture Notes in Computer Science, vol 7379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31454-4_39
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DOI: https://doi.org/10.1007/978-3-642-31454-4_39
Publisher Name: Springer, Berlin, Heidelberg
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