automatic summarization bias collaborative filtering collaborative systems contact recommendation context diversity evaluation false positive finance group recommendation hybrid recommendation information extraction information retrieval information retrieval models information retrieval theory knn link prediction metasearch metrics multi-armed bandits multimedia retrieval news retrieval nlp non-random missing data novelty performance prediction personalization popularity rank aggregation rank fusion recommender systems relation extraction semantic search semantics social networks time web search web services xbrl
2020 |
J. Sanz-Cruzado, P. Castells, C. Macdonald, I. Ounis. Effective Contact Recommendation in Social Networks by Adaptation of Information Retrieval Models. Information Processing & Management 57(5), September 2020. |
J. Sanz-Cruzado, C. Macdonald, I. Ounis, P. Castells. Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective. 42th European Conference on Information Retrieval (ECIR 2020), Springer Verlag Lecture Notes in Computer Science, Vol. 12035. Lisbon, Portugal, April 2020, ISBN: 978-3-030-45439-5, pp. 175-90. |
2019 |
J. Sanz-Cruzado, P. Castells. Beyond Accuracy in Link Prediction. 3rd Workshop on Social Media for Personalization And Search (SoMePeAS 2019) at the 41st European Conference on Information Retrieval (ECIR 2019). Cologne, Germany, April 2019. |
J. Sanz-Cruzado, P. Castells.
Information Retrieval Models for Contact Recommendation in Social Networks.
41st European Conference on Information Retrieval (ECIR 2019), Springer Verlag Lecture Notes in Computer Science, Vol. 11437. Cologne, Germany, April 2019, ISBN: 978-3-030-15711-1, pp. 148-163. Slides |
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, November 2018, ISBN: 978-981-3275-35-5, pp. 519-569. |
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, pp. 233-241. Slides | Poster |