Generating semantically enriched user profiles for Web personalization
ACM Transactions on Internet Technology (TOIT)
Semantic relations for content-based recommendations
Proceedings of the fifth international conference on Knowledge capture
Knowledge infusion into content-based recommender systems
Proceedings of the third ACM conference on Recommender systems
User modeling and adaptive Semantic Web
Semantic Web
A generic semantic-based framework for cross-domain recommendation
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Linked open data to support content-based recommender systems
Proceedings of the 8th International Conference on Semantic Systems
Exploiting the web of data in model-based recommender systems
Proceedings of the sixth ACM conference on Recommender systems
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The primary goal of the workshop is to showcase cutting edge research on the intersection of Recommender Systems and Semantic Technologies, by taking the best of the two worlds. This combination may provide the RecSys community with important scenarios where the potential of Semantic Technologies can be effectively exploited into systems performing complex tasks, such as recommendation engines processing Big Data.