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Christoph Freudenthaler
Christoph Freudenthaler
Student of Economics, Johannes Kepler University, Linz
Ingen verifisert e-postadresse
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BPR: Bayesian personalized ranking from implicit feedback
S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme
arXiv preprint arXiv:1205.2618, 2012
66442012
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
23212010
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
7142011
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
5232011
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
4162014
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
3862010
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
2252012
Personalized ranking for non-uniformly sampled items
Z Gantner, L Drumond, C Freudenthaler, L Schmidt-Thieme
Proceedings of KDD Cup 2011, 231-247, 2012
1032012
BPR: Bayesian personalized ranking from implicit feedback. arXiv 2012
S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme
arXiv preprint arXiv:1205.2618, 2012
582012
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
372011
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
332012
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
302011
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
242011
Gender differences in risk-taking: Evidence from professional basketball
R Böheim, C Freudenthaler, M Lackner
IZA Discussion Paper, 2016
232016
Factorization machines factorized polynomial regression models
C Freudenthaler, L Schmidt-Thieme, S Rendle
IEEE International Conference on Data Mining, Sydney, NSW, 2009
162009
Comparing Prediction Models for Active Learning in Recommender Systems.
R Karimi, C Freudenthaler, A Nanopoulos, L Schmidt-Thieme
LWA, 171-180, 2015
102015
Keyword-based TV program recommendation
C Wartena, W Slakhorst, M Wibbels, Z Gantner, C Freudenthaler, ...
Workshop chairs, 15, 2011
72011
MyMedia: producing an extensible framework for recommendation
P Marrow, R Hanbidge, S Rendle, C Wartena, C Freudenthaler
Networked Electronic Media Summit, 2009
52009
Do male managers increase risk-taking of female teams? Evidence from the NCAA
R Böheim, C Freudenthaler, M Lackner
CESifo Working Paper, 2019
32019
Optimal ranking for video recommendation
Z Gantner, C Freudenthaler, S Rendle, L Schmidt-Thieme
User Centric Media: First International Conference, UCMedia 2009, Venice …, 2010
32010
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Artikler 1–20