Abstract
Content personalization is a key element in the media content environment since it contributes to improve the user’s experience. In this paper we present a novel intelligent content personalization system for content flow personalization over mobile broadcasting networks and terminals based on user profiling and clustering taking advantage of the consumption data obtained from the user and the information given by user’s tastes and behavior.
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References
Phatak, D., Mulvaney, R.: Clustering for Personalized Mobile Web Usage. In: International Conference on Fuzzy Systems (2002)
Virvou, M., Savvopoulos, A.: An intelligent TV shopping Application that provides Recommendation. In: 19th International Conference on Tools with Artificial Intelligence (2007)
Xu, J., Zhang, L.-J., Lu, H., Li, Y.: The development and prospect of personalized TV program recommendation system. In: IEEE Fourth International Symposium on Multimedia Software Engineering (2002)
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734–749 (2005)
Bellekens, P., Houben, G., Aroyo, L., Schaap, K., Kaptein, A.: User model elicitation and enrichment for context- sensitive personalization in a multiplatform TV environment. In: 7th European Conference on Interactive Television (2009)
Velusamy, S., Gopal, L., Bhatnagar, S., Varadarajan, S.: An efficient ad recommendation system for TV programs. Multimedia System Journal 14(2), 73–87 (2008)
Liu, Y., Yang, Z., Deng, X., Bu, J., Chen, C.: Media Browsing for Mobile Devices based on Resolution Adaptative Recommendation. In: International Conference on Communcations and Mobile Computing (2009)
Yin, X., Lee, W.S., Tan, Z.: Personalization of web content for wireless mobile device. In: Wireless Communication & Networking Conference (2004)
Mylonas, P., Karpouzis, K., Andreou, G., Kollias, S.: Towards an integrated personalized interactive video environment. In: IEEE Sixth International Symposium on Multimedia Software Engineering (2004)
Boutemedjet, S., Ziou, D.: A graphical Model for Context-Aware Visual Content Recommendation. IEEE Transactions on Multimedia 10(1) (January 2008)
Jain, A.K., Murty, M.N.: Data clustering, a review. ACM Computing Surveys (1999)
Covell, M., Baluja, S., Fink, M.: Detecting Ads in Video Streams Using Acoustic and Visual Cues. Computer 39(12), 135–137 (2006)
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Uribe, S., Fernández-Cedrón, I., Álvarez, F., Menéndez, J.M., Núñez, J.L. (2010). Content Personalization System Based on User Profiling for Mobile Broadcasting Television. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_14
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DOI: https://doi.org/10.1007/978-3-642-12630-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12629-1
Online ISBN: 978-3-642-12630-7
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