Interactive TV Standards: A Guide to MHP, OCAP, and JavaTV
Interactive TV Standards: A Guide to MHP, OCAP, and JavaTV
Distributed automatic service composition in large-scale systems
Proceedings of the second international conference on Distributed event-based systems
A personalized recommendation system based on product taxonomy for one-to-one marketing online
Expert Systems with Applications: An International Journal
MiSPOT: dynamic product placement for digital TV through MPEG-4 processing and semantic reasoning
Knowledge and Information Systems
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
Automatic composition and selection of semantic web services
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Bringing semantics to web services: the OWL-S approach
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
A personalized TV guide system compliant with MHP
IEEE Transactions on Consumer Electronics
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
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The evolution of information technologies is consolidating recommender systems as essential tools in e-commerce. To date, these systems have focused on discovering the items that best match the preferences, interests and needs of individual users, to end up listing those items by decreasing relevance in some menus. In this paper, we propose extending the current scope of recommender systems to better support trading activities, by automatically generating interactive applications that provide the users with personalized commercial functionalities related to the selected items. We explore this idea in the context of Digital TV advertising, with a system that brings together semantic reasoning techniques and new architectural solutions for web services and mashups.