Prototyping Interactive and Personalized IPTV-Services on Top of Open IMS Infrastructures
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
An IMS Client Application Framework for Emerging NGN Testbeds
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
Enhanced IPTV service control media delivery in next generation networks
IMSAA'09 Proceedings of the 3rd IEEE international conference on Internet multimedia services architecture and applications
Vizier: a generic and multidimensional agent-based recommendation framework
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
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Identifying correlations between context data, user behavior, and semantic information can lead to new services that are able to adapt to different situations. This "personalization" process can be based on recommendations on content. To better support service developers in focusing mainly on the creation of their service logic, these recommendations should be provided by a generic multipurpose recommender. Therefore, this paper proposes a generic framework that delivers "contextual recommendations" that are based on the combination of previously gathered user feedback data (i.e. ratings and clickstream history), context data, and ontology-based content categorization schemes. This paper provides a detailed overview of the specification, a short description of a possible usage scenario, and a discussion of the results.