Computer
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
A vector space model for automatic indexing
Communications of the ACM
Semantic Feedback for Hybrid Recommendations in Recommendz
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
IEEE Transactions on Knowledge and Data Engineering
A Vector Based Method of Ontology Matching
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
Feature weighting in content based recommendation system using social network analysis
Proceedings of the 17th international conference on World Wide Web
Freebase: a collaboratively created graph database for structuring human knowledge
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Introduction to Information Retrieval
Introduction to Information Retrieval
Exploratory Search
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Modern Information Retrieval
Selecting keywords for content based recommendation
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
dbrec: music recommendations using DBpedia
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Recommender Systems Handbook
A hybrid similarity concept for browsing semi-structured product items
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Hey! ho! let's go! explanatory music recommendations with dbrec
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
A vector space model for semantic similarity calculation and OWL ontology alignment
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Composite interests' exploration thanks to on-the-fly linked data spreading activation
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Discovery hub: on-the-fly linked data exploratory search
Proceedings of the 9th International Conference on Semantic Systems
Hybrid event recommendation using linked data and user diversity
Proceedings of the 7th ACM conference on Recommender systems
Top-N recommendations from implicit feedback leveraging linked open data
Proceedings of the 7th ACM conference on Recommender systems
Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013
Proceedings of the 7th ACM conference on Recommender systems
Recommendation of text tags using linked data
Proceedings of the 3rd International Workshop on Semantic Search Over the Web
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The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets. These datasets are connected with each other to form the so called Linked Open Data cloud. As of today, there are tons of RDF data available in the Web of Data, but only few applications really exploit their potential power. In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend movies to the end users. We extensively evaluated the approach and validated the effectiveness of the algorithms by experimentally measuring their accuracy with precision and recall metrics.