G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, Incorporating contextual information in recommender systems using a multidimensional approach, ACM Transactions on Information Systems, vol.23, issue.1
DOI : 10.1145/1055709.1055714

G. Adomavicius and A. Tuzhilin, Context-aware recommender systems, Recommender Systems Handbook, pp.217-253, 2011.

S. S. Anand, P. Kearney, and M. Shapcott, Generating semantically enriched user profiles for Web personalization, ACM Transactions on Internet Technology, vol.7, issue.4, 2007.
DOI : 10.1145/1278366.1278371

L. Baltrunas and X. Amatriain, Towards Time-Dependant Recommendation based on Implicit Feedback, Context-aware Recommender Systems Workshop at Rec- sys09, 2009.

L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, Context-Aware Places of Interest Recommendations for Mobile Users, HCI (9), pp.531-540, 2011.
DOI : 10.1007/978-3-642-21675-6_61

L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, Context relevance assessment and exploitation in mobile recommender systems, Personal and Ubiquitous Computing, vol.5, issue.4, pp.507-526, 2012.
DOI : 10.1007/s00779-011-0417-x

C. Bizer, J. Lehmann, G. Kobilarov, S. Auer, C. Becker et al., DBpedia - A crystallization point for the Web of Data, Web Semantics: Science, Services and Agents on the World Wide Web, vol.7, issue.3, pp.154-165, 2009.
DOI : 10.1016/j.websem.2009.07.002

I. Cantador, A. Bellogín, and P. Castells, A multilayer ontology-based hybrid recommendation model, AI Commun, vol.21, issue.2-3, pp.203-210, 2008.

S. , D. Sabbata, and T. Reichenbacher, Criteria of Geographic Relevance: An Experimental Study, International Journal of Geographical Information Science, 2012.

A. K. Dey, Understanding and using context. Personal Ubiquitous Comput, pp.4-7, 2001.
DOI : 10.1007/s007790170019

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.9786

T. , D. Noia, R. Mirizzi, V. C. Ostuni, and D. Romito, Exploiting the web of data in model-based recommender systems, 6th ACM Conference on Recommender Systems, 2012.

T. , D. Noia, R. Mirizzi, V. C. Ostuni, D. Romito et al., Linked open data to support content-based recommender systems, 8th International Conference on Semantic Systems (I-SEMANTICS 2012), ICP, 2012.

I. Fernández-tobías, I. Cantador, M. Kaminskas, and F. Ricci, A generic semanticbased framework for cross-domain recommendation, Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, pp.25-32, 2011.

T. Heath and C. Bizer, Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web, 2011.

P. Lops, M. Gemmis, and G. Semeraro, Content-based Recommender Systems: State of the Art and Trends, Recommender Systems Handbook, pp.73-105, 2011.
DOI : 10.1007/978-0-387-85820-3_3

S. E. Middleton, D. D. Roure, and N. R. Shadbolt, Ontology-based recommender systems, Handbook on Ontologies, vol.32, issue.6, pp.779-796, 2009.
DOI : 10.1007/978-3-540-24750-0_24

R. Mirizzi, A. Ragone, T. D. Noia, and E. D. Sciascio, Ranking the Linked Data: The Case of DBpedia, Proceedings of the 10th international conference on Web engineering, ICWE'10, pp.337-354, 2010.
DOI : 10.1007/978-3-642-13911-6_23

B. Mobasher, X. Jin, and Y. Zhou, Semantically enhanced collaborative filtering on the web. Web Mining: From Web to Semantic Web, pp.57-76, 2004.
DOI : 10.1007/978-3-540-30123-3_4

V. C. Ostuni, T. Di-noia, R. Mirizzi, D. Romito, and E. D. Sciascio, Cinemappy: a context-aware mobile app for movie recommendations boosted by dbpedia, 1st International Workshop on Semantic Technologies meet Recommender Systems & Big Data, 2012.

C. Palmisano, A. Tuzhilin, and M. Gorgoglione, Using Context to Improve Predictive Modeling of Customers in Personalization Applications, IEEE Transactions on Knowledge and Data Engineering, vol.20, issue.11, pp.1535-1549, 2008.
DOI : 10.1109/TKDE.2008.110

U. Panniello, A. Tuzhilin, M. Gorgoglione, C. Palmisano, and A. Pedone, Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems, Proceedings of the third ACM conference on Recommender systems, RecSys '09, pp.265-268, 2009.
DOI : 10.1145/1639714.1639764

A. Passant, Measuring semantic distance on linking data and using it for resources recommendations, Proceedings of the AAAI Spring Symposium " Linked Data Meets Artificial Intelligence, p.2010

F. Ricci, Mobile Recommender Systems, Information Technology & Tourism, vol.12, issue.3, pp.205-231, 2011.
DOI : 10.3727/109830511X12978702284390

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220

M. Van-setten, S. Pokraev, and J. Koolwaaij, Context-Aware Recommendations in the Mobile Tourist Application COMPASS, Lecture Notes in Computer Science, vol.3137, pp.235-244, 2004.
DOI : 10.1007/978-3-540-27780-4_27