Representing, Querying and Transforming Social Networks with RDF/SPARQL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Towards better TV viewing rates: exploiting crowd's media life logs over Twitter for TV rating
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
DBpedia spotlight: shedding light on the web of documents
Proceedings of the 7th International Conference on Semantic Systems
Leveraging user modeling on the social web with linked data
ICWE'12 Proceedings of the 12th international conference on Web Engineering
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An online social network is a digital representation of the set of human beings on the Internet. Social network services generate large amount of usage data; for example, Facebook defines detailed user profiles, and provides a platform for sharing information with a vast network of friends, and Flickr offers sophisticated ways for sharing and searching for photos. In this paper, We propose cross-domain user profile modeling that acquires background knowledge from Linked Open Data and measures user interests. We infer the user's preferences by analyzing her Facebook profile, and expand it by linking it to Flickr in order to recommend socially relevant photos.