Abstract
This paper presents the recommendation techniques applied in Personal Program Guide (PPG), a system generating personalized Electronic Program Guides for digital TV. The PPG recommends TV programs by relying on the integration of heterogeneous user modeling techniques.
This work was partially supported by the Italian M.I.U.R. (Ministero dell’Istruzione dell’Università e della Ricerca) through the Te.S.C.He.T. Project (Technology System for Cultural Heritage in Tourism). We are grateful to Flavio Portis, who helped us in the development of the Stereotypical UM Expert of the PPG.
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Ardissono, L. et al. (2003). Personalized Recommendation of TV Programs. In: Cappelli, A., Turini, F. (eds) AI*IA 2003: Advances in Artificial Intelligence. AI*IA 2003. Lecture Notes in Computer Science(), vol 2829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39853-0_39
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DOI: https://doi.org/10.1007/978-3-540-39853-0_39
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