Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
TV3P: an adaptive assistant for personalized TV
IEEE Transactions on Consumer Electronics
A personalized TV guide system compliant with MHP
IEEE Transactions on Consumer Electronics
Multimedia Tools and Applications
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Today, people have a lot of spare time at their hands which they want to fill in according to their interests, whereas cultural temples are trying to attract interested communities to their carefully planned cultural programs. These cultural activities can be characterised as dynamic and distributed events in addition to which it is important to aggregate, enrich, recommend, and distribute these event items as targeted as possible. In this paper, we show how personalised recommendation and distribution of events, described using an RDF/OWL representation of the EventsML-G2 standard, can be enabled by automatically categorising and enriching events metadata via smart indexing and open linked datasets available on the web of data. As such, the ultimate goal of the CUPID-project is to provide an open, userfriendly platform that harnesses the end-user with a tool to access useful event information that goes beyond basic information retrieval. At the same time, we provide the (inter)national cultural community with standardised mechanisms to describe/distribute event and profile information.