BPR: Bayesian personalized ranking from implicit feedback S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme arXiv preprint arXiv:1205.2618, 2012 | 6831 | 2012 |
Factorizing personalized markov chains for next-basket recommendation S Rendle, C Freudenthaler, L Schmidt-Thieme Proceedings of the 19th international conference on World wide web, 811-820, 2010 | 2387 | 2010 |
Fast context-aware recommendations with factorization machines S Rendle, Z Gantner, C Freudenthaler, L Schmidt-Thieme Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 721 | 2011 |
MyMediaLite: A free recommender system library Z Gantner, S Rendle, C Freudenthaler, L Schmidt-Thieme Proceedings of the fifth ACM conference on Recommender systems, 305-308, 2011 | 524 | 2011 |
Improving pairwise learning for item recommendation from implicit feedback S Rendle, C Freudenthaler Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 426 | 2014 |
Learning attribute-to-feature mappings for cold-start recommendations Z Gantner, L Drumond, C Freudenthaler, S Rendle, L Schmidt-Thieme 2010 IEEE international conference on data mining, 176-185, 2010 | 391 | 2010 |
Multi-relational matrix factorization using bayesian personalized ranking for social network data A Krohn-Grimberghe, L Drumond, C Freudenthaler, L Schmidt-Thieme Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 226 | 2012 |
Personalized ranking for non-uniformly sampled items Z Gantner, L Drumond, C Freudenthaler, L Schmidt-Thieme Proceedings of KDD Cup 2011, 231-247, 2012 | 105 | 2012 |
BPR: Bayesian personalized ranking from implicit feedback. arXiv 2012 S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme arXiv preprint arXiv:1205.2618, 2012 | 62 | 2012 |
Bpr: Bayesian personalized ranking from implicit feedback. 2012 S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme arXiv preprint arXiv:1205.2618, 2009 | 49 | 2009 |
Non-myopic active learning for recommender systems based on matrix factorization R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme 2011 IEEE International Conference on Information Reuse & Integration, 299-303, 2011 | 37 | 2011 |
Exploiting the characteristics of matrix factorization for active learning in recommender systems R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme Proceedings of the sixth ACM conference on Recommender systems, 317-320, 2012 | 33 | 2012 |
Active learning for aspect model in recommender systems R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 30 | 2011 |
Towards optimal active learning for matrix factorization in recommender systems R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme 2011 IEEE 23rd International Conference on Tools with Artificial …, 2011 | 24 | 2011 |
Gender differences in risk-taking: Evidence from professional basketball R Böheim, C Freudenthaler, M Lackner IZA Discussion Paper, 2016 | 23 | 2016 |
Factorization machines factorized polynomial regression models C Freudenthaler, L Schmidt-Thieme, S Rendle IEEE International Conference on Data Mining, Sydney, NSW, 2009 | 16 | 2009 |
Comparing Prediction Models for Active Learning in Recommender Systems. R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme LWA, 171-180, 2015 | 10 | 2015 |
Keyword-based TV program recommendation C Wartena, W Slakhorst, M Wibbels, Z Gantner, C Freudenthaler, ... Workshop chairs, 15, 2011 | 7 | 2011 |
MyMedia: producing an extensible framework for recommendation P Marrow, R Hanbidge, S Rendle, C Wartena, C Freudenthaler Networked Electronic Media Summit, 2009 | 5 | 2009 |
Do male managers increase risk-taking of female teams? Evidence from the NCAA R Böheim, C Freudenthaler, M Lackner CESifo Working Paper, 2019 | 3 | 2019 |