Data mining methods for recommender systems X Amatriain, A Jaimes*, N Oliver, JM Pujol Recommender systems handbook, 39-71, 2010 | 449 | 2010 |
Extracting reputation in multi agent systems by means of social network topology JM Pujol, R Sangüesa, J Delgado Proceedings of the first international joint conference on Autonomous agents …, 2002 | 436 | 2002 |
Social features of online networks: The strength of intermediary ties in online social media PA Grabowicz, JJ Ramasco, E Moro, JM Pujol, VM Eguiluz PloS one 7 (1), e29358, 2012 | 401 | 2012 |
The little engine (s) that could: scaling online social networks JM Pujol, V Erramilli, G Siganos, X Yang, N Laoutaris, P Chhabra, ... ACM SIGCOMM Computer Communication Review 40 (4), 375-386, 2010 | 343 | 2010 |
I like it... i like it not: Evaluating user ratings noise in recommender systems X Amatriain, JM Pujol, N Oliver International Conference on User Modeling, Adaptation, and Personalization …, 2009 | 308 | 2009 |
Rate it again: increasing recommendation accuracy by user re-rating X Amatriain, JM Pujol, N Tintarev, N Oliver Proceedings of the third ACM conference on Recommender systems, 173-180, 2009 | 230 | 2009 |
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web X Amatriain, N Lathia, JM Pujol, H Kwak, N Oliver Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 229 | 2009 |
Clustering algorithm for determining community structure in large networks JM Pujol, J Béjar, J Delgado Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 74 (1 …, 2006 | 176 | 2006 |
Tracking the trackers Z Yu, S Macbeth, K Modi, JM Pujol Proceedings of the 25th International Conference on World Wide Web, 121-132, 2016 | 160 | 2016 |
Fair routing in delay tolerant networks JM Pujol, AL Toledo, P Rodriguez IEEE INFOCOM 2009, 837-845, 2009 | 160 | 2009 |
Divide and conquer: Partitioning online social networks JM Pujol, V Erramilli, P Rodriguez arXiv preprint arXiv:0905.4918, 2009 | 96 | 2009 |
How can social networks ever become complex? Modelling the emergence of complex networks from local social exchanges JM Pujol, A Flache, J Delgado, R Sangüesa, R Sanguessa Jasss-The journal of artificial societies and social simulation 8 (4), 2005 | 92 | 2005 |
Informing optimal environmental influenza interventions: how the host, agent, and environment alter dominant routes of transmission IH Spicknall, JS Koopman, M Nicas, JM Pujol, S Li, JNS Eisenberg PLoS Computational Biology 6 (10), e1000969, 2010 | 86 | 2010 |
The effect of ongoing exposure dynamics in dose response relationships JM Pujol, JE Eisenberg, CN Haas, JS Koopman PLoS computational biology 5 (6), e1000399, 2009 | 81 | 2009 |
Emergence of coordination in scale-free networks J Delgado, JM Pujol, R Sangüesa Web Intelligence and Agent Systems: An International Journal 1 (2), 131-138, 2003 | 71 | 2003 |
The little engine (s) that could: Scaling online social networks JM Pujol, V Erramilli, G Siganos, X Yang, N Laoutaris, P Chhabra, ... IEEE/ACM Transactions on Networking 20 (4), 1162-1175, 2012 | 59 | 2012 |
The role of clustering on the emergence of efficient social conventions JM Pujol, J Delgado, R Sangüesa, A Flache Proceedings of the 19th international joint conference on Artificial …, 2005 | 57 | 2005 |
Monitoring the bittorrent monitors: A bird’s eye view G Siganos, JM Pujol, P Rodriguez International Conference on Passive and Active Network Measurement, 175-184, 2009 | 55 | 2009 |
Scaling online social networks without pains JM Pujol, G Siganos, V Erramilli, P Rodriguez Proc of NETDB, 2009 | 50 | 2009 |
WhoTracks. Me: Shedding light on the opaque world of online tracking A Karaj, S Macbeth, R Berson, JM Pujol arXiv preprint arXiv:1804.08959, 2018 | 45 | 2018 |