Cross-domain recommender systems I Cantador, I Fernández-Tobías, S Berkovsky, P Cremonesi Recommender systems handbook, 919-959, 2015 | 264 | 2015 |
Cross-domain recommender systems: A survey of the state of the art I Fernández-Tobías, I Cantador, M Kaminskas, F Ricci Spanish conference on information retrieval 24, 2012 | 226 | 2012 |
Alleviating the new user problem in collaborative filtering by exploiting personality information I Fernández-Tobías, M Braunhofer, M Elahi, F Ricci, I Cantador User Modeling and User-Adapted Interaction 26, 221-255, 2016 | 184 | 2016 |
Relating Personality Types with User Preferences in Multiple Entertainment Domains. I Cantador, I Fernández-Tobías, A Bellogín, M Kosinski, D Stillwell UMAP Workshops 997, 2013 | 176 | 2013 |
A generic semantic-based framework for cross-domain recommendation I Fernández-Tobías, I Cantador, M Kaminskas, F Ricci Proceedings of the 2nd International Workshop on Information Heterogeneity …, 2011 | 126 | 2011 |
Exploiting social tags in matrix factorization models for cross-domain collaborative filtering. I Fernández-Tobías, I Cantador CBRecSys@ RecSys, 34-41, 2014 | 95 | 2014 |
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization I Fernández-Tobías, I Cantador, P Tomeo, VW Anelli, T Di Noia User modeling and user-adapted interaction 29, 443-486, 2019 | 93 | 2019 |
Context-aware movie recommendations: an empirical comparison of pre-filtering, post-filtering and contextual modeling approaches PG Campos, I Fernández-Tobías, I Cantador, F Díez E-Commerce and Web Technologies: 14th International Conference, EC-Web 2013 …, 2013 | 47 | 2013 |
Accuracy and diversity in cross-domain recommendations for cold-start users with positive-only feedback I Fernández-Tobías, P Tomeo, I Cantador, T Di Noia, E Di Sciascio Proceedings of the 10th ACM conference on Recommender Systems, 119-122, 2016 | 45 | 2016 |
Knowledge-based music retrieval for places of interest M Kaminskas, I Fernández-Tobías, F Ricci, I Cantador Proceedings of the second international ACM workshop on Music information …, 2012 | 43 | 2012 |
Interaction Design in a Mobile Food Recommender System. M Elahi, M Ge, F Ricci, I Fernández-Tobías, S Berkovsky, D Massimo IntRS@ RecSys, 49-52, 2015 | 39 | 2015 |
An emotion dimensional model based on social tags: Crossing folksonomies and enhancing recommendations I Fernández-Tobías, I Cantador, L Plaza E-Commerce and Web Technologies: 14th International Conference, EC-Web 2013 …, 2013 | 30 | 2013 |
Ontology-based identification of music for places M Kaminskas, I Fernández-Tobías, I Cantador, F Ricci Information and Communication Technologies in Tourism 2013: Proceedings of …, 2013 | 29 | 2013 |
Knowledge-based identification of music suited for places of interest M Kaminskas, I Fernández-Tobías, F Ricci, I Cantador Information Technology & Tourism 14, 73-95, 2014 | 26 | 2014 |
Personality-aware collaborative filtering: an empirical study in multiple domains with facebook data I Fernández-Tobías, I Cantador E-Commerce and Web Technologies: 15th International Conference, EC-Web 2014 …, 2014 | 20 | 2014 |
Semantic contextualisation of social tag-based profiles and item recommendations I Cantador, A Bellogín, I Fernández-Tobías, S López-Hernández E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011 | 20 | 2011 |
Exploiting linked open data in cold-start recommendations with positive-only feedback P Tomeo, I Fernández-Tobías, T Di Noia, I Cantador Proceedings of the 4th Spanish Conference on Information Retrieval, 1-8, 2016 | 18 | 2016 |
On the use of cross-domain user preferences and personality traits in collaborative filtering I Fernández-Tobías, I Cantador User Modeling, Adaptation and Personalization: 23rd International Conference …, 2015 | 16 | 2015 |
Memory-based recommendations of entities for web search users I Fernández-Tobías, R Blanco Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 15 | 2016 |
On the Exploitation of User Personality in Recommender Systems. I Cantador, I Fernández-Tobías DMRS, 42-45, 2014 | 13 | 2014 |