Abstract
In this chapter, we present a recommending system that has been developed for filtering TV content provided to users on their mobile devices. This recommender is fully based on ontologies which are used to formalize both the user and her/his interests, and the audiovisual content. The developed ontologies allow matchmaking between user and content at different levels, based on three means to define user interests: categories, content description, or any combination of concepts defined in an ontology. The computation of user profiles relies on both explicit and implicit profiling, based on incremental learning of interest degrees from content usage.
Keywords
- User Profile
- Semantic Concept
- Content Description
- User Interest
- Mobile Video
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Preview
Unable to display preview. Download preview PDF.
References
Aghasaryan, Betgé-Brezetz, S., Senot, C., Toms, Y.: A Profiling Engine for Converged Service Delivery Platforms. Bell Labs Technical Journal’s Summer 2008 issue on Applications and their Enablers in a Converged Communications World 13(2) (2008)
Aroyo, L., Bellekens, P., Björkman, M., Houben, G.-J.: Semantic-based framework for personalized ambient media. Multimedia Tools and Applications 36(1-2), 71–87 (2008)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American Magazine (2001)
Buriano, L., Marchetti, M., Carmagnola, F., Cena, F., Gena, C., Torre, I.: The Role of Ontologies in Context-Aware Recommender Systems. In: Proc. of 7th International Conference on Mobile Data Management (MDM 2006), May 10-12, p. 80 (2006)
Cantador, M., Fernández, D., Vallet, P., Castells, J.: A Multi-Purpose Ontology-Based Approach for Personalized Content Filtering and Retrieval. In: Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence series, vol. 93. Springer, Heidelberg (2008)
DVB-CBMS A099, IP Datacast over DVB-H: Electronic Service Guide (ESG) (November 2005)
Forgy, Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence 19(1), 17–37 (1982)
Germanakos, P., Mourlas, C.: Adaptation and Personalization of Web-based Multimedia Content. In: Proc. of the Workshop on Personalization for e-Health of the 10th International Conference on User Modeling (UM 2005), Edinburgh, July 29, pp. 67–70 (2005)
Heckmann, D., Schwartz, T., Brandherm, B., Schmitz, M., von Wilamowitz-Moellendorff, M.: GUMO - the general user model ontology. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 428–432. Springer, Heidelberg (2005)
Krunoslav, T., Alisa, D., Gordan, J., Mario, K., Sasa, D.: Semantic Matchmaking of Advanced Personalized Mobile Services using Intelligent Agents. In: 12th Conference on Software, Telecommunications and Computer Networks SoftCOM (2004)
Li, L., Horrocks, I.: A software framework for matchmaking based on semantic web technology. In: Proceedings of the Twelfth International World Wide Web Conference (2003)
Mignon, S., Groues, V., Naudet, Y.: Advanced Personalisation by Ontologies: Audiovisual Content Filtering on Mobile Devices. In: Proc. of JFO 2008, Lyon, France, December 1-3 (2008)
Naudet, Y., Aghasaryan, A., Toms, Y., Senot, C.: An Ontology-based Profiling and Recommending System for Mobile TV. In: Proc. of the 3rd International Workshop on Semantic Media Adaptation and Personalization (SMAP 2008), Prague, Czech Republic, December 15-16, pp. 94–99. IEEE Computer Society Publishers, Los Alamitos (2008)
Pampapathi, R., Mirkin, B., Levene, M.: A Review of the Technologies and Methods in Profiling and Profile Classification. EPALS (2005)
Senot, Y.T., Aghasaryan, A., Betgé-Brezetz, S.: Multi-Platform User and Usage Profiling Demonstration: Video-on-Demand Services in IPTV and Mobile Video environments. Demonstration Paper at User Modeling 2007, Athens, Greece (2007), http://www.iit.demokritos.gr/um2007/UM2007-Demos-Leaflet.pdf
Tsinaraki, C., Christodoulakis, S.: A multimedia user preference model that supports semantics and its application to mpeg 7/21. In: 12th Int. Conf. on Multi Media Modeling (MMM 2006), Beijing, China, January 4-6 (2006)
European Parliament and Council Directive 95/46/EC of 24, on the Protection of Individuals with regard to the processing of Personal Data and on the free movement of such Data, Official journal L281 of 23.11 (October 1995), http://ec.europa.eu/justice_home/fsj/privacy/docs/95-46-ce/dir1995-46_part1_en.pdf , http://ec.europa.eu/justice_home/fsj/privacy/docs/95-46-ce/dir1995-46_part1_en.pdf
The official site of Eureka Celtic initiative, Movies project, http://www.celtic-initiative.org/Projects/MOVIES/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Naudet, Y., Aghasaryanb, A., Mignon, S., Toms, Y., Senot, C. (2010). Ontology-Based Profiling and Recommendations for Mobile TV. In: Wallace, M., Anagnostopoulos, I.E., Mylonas, P., Bielikova, M. (eds) Semantics in Adaptive and Personalized Services. Studies in Computational Intelligence, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11684-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-11684-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11683-4
Online ISBN: 978-3-642-11684-1
eBook Packages: EngineeringEngineering (R0)