论文信息 - A profiling engine for converged service delivery platforms

A profiling engine for converged service delivery platforms

As services become increasingly personalized, mastering knowledge of user profiles is becoming a key requirement for service providers who hold large amounts of end user service consumption data. This paper describes a profiling engine that automatically learns user profiles (user preferences, interest domains, and behaviors) by aggregating traces on converged service delivery platforms such as Internet Protocol television (IPTV), mobile video, or IP Multimedia Subsystem (IMS). Such a profiling engine enables a wide range of personalized applications including targeted advertising, personalized portals, content recommenders, and social networking applications.

[1] Alfred Kobsa,et al. Generic User Modeling Systems , 2001, User modeling and user-adapted interaction.

[2] Asunción Gómez-Pérez,et al. Ontological Engineering: With Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web , 2004, Advanced Information and Knowledge Processing.

[3] Marc Gelgon,et al. User and Usage Profiling in a Multi-Platform Service Environment , 2006, LWA.

[4] Boi Faltings,et al. Inferring User's Preferences using Ontologies , 2006, AAAI.

[5] Panagiotis Germanakos,et al. Adaptation and Personalization of Web-Based Multimedia Content , 2006 .

[6] J. P. Evain,et al. Phase 1 : A decisive milestone in open standardisation for personal video recorders , 2003 .

[7] Herbert Burkert,et al. Some Preliminary Comments on the DIRECTIVE 95/46/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. , 1996 .