adversarial search bias collaborative filtering collaborative systems context diversity evaluation expermiental methodology finance group recommendation hci hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory metasearch metrics multimedia retrieval network management news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommender sistems recommender systems relation extraction semantic search semantics social networks time user modelling user profile web search web services
J. Sanz-Cruzado, P. Castells.
Enhancing Structural Diversity in Social Networks by Recommending Weak Ties.
12th ACM Conference on Recommender Systems (RecSys 2018). Vancouver, Canada, October 2018.
Slides | Poster
|J. Sanz-Cruzado, S. M. Pepa, P. Castells. Structural Novelty and Diversity in Link Prediction. 9th International Workshop on Modeling Social Media (MSM 2018) at The Web Conference (TheWebConf 2018). Lyon, France, April 2018.|
|J. Sanz-Cruzado, P. Castells. Contact Recommendations in Social Networks. In S. Berkovsky, I. Cantador, D. Tikk (Eds.): Collaborative Recommendations: Algorithms, Practical Challenges and Applications. World Scientific Publishing, 2018.|
|R. Cañamares, P. Castells. Exploring social network effects on popularity biases in recommender systems. 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) at the 8th ACM Conference on Recommender Systems (RecSys 2014). Foster City, CA, USA, October 2014.|
|A. Bellogín, I. Cantador, P. Castells, F. Díez. Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. 13th Dutch-Belgian Information Retrieval Workshop (DIR 2013). Delft, Netherlands, April 2013.|
|A. Bellogín, I. Cantador, P. Castells. A Comparative Study of Heterogeneous Item Recommendations in Social Systems. Information Sciences 221(1), February 2013, pp. 142-169.|
|A. Bellogín, I. Cantador, F. Díez, P. Castells, E. Chavarriaga. An Empirical Comparison of Social, Collaborative Filtering, and Hybrid Recommenders. ACM Transactions on Intelligent Systems and Technology 4(1), Special Issue on Context-Aware Movie Recommendations, February 2013.|
|A. de Salabert, F. Díez, R. Cobos, M. Alfonseca. An interactive platform for AI Games. Research in Engineering Education Symposium (REES 2011). October 2011, pp. 736-744.|
|A. Bellogín, P. Castells, I. Cantador. Self-adjusting Hybrid Recommenders Based on Social Network Analysis. 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Poster Session. Beijing, China, July 2011, pp. 1147-1148.|
|I. Cantador, P. Castells. Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006). Springer Verlag Lecture Notes in Computer Science, Vol. 4248. Podebrady, Czech Republic, October 2006, ISSN: 3-540-46363-1, pp. 334-349.|
|I. Cantador, P. Castells. Building Emergent Social Networks and Group Profiles by Semantic User Preference Clustering. International Workshop on Semantic Network Analysis (SNA 2006) at the 3rd European Semantic Web Conference (ESWC 2006). Budva, Montenegro, June 2006.|
|I. Cantador, P. Castells. Multilayered Ontology-Based User Profiles and Semantic Social Networks for Recommender Systems. 2nd Int. Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (WPRSIUI 2006) at the 4th Int. Conf. on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006). Dublin, Ireland, June 2006.|