Christoph Freudenthaler

18 papers A* 3A 5B 1C 1Misc 1Journal 1Unranked 6
YearRankTypeTitle / Venue / Authors
2015 — conf
Comparing Prediction Models for Active Learning in Recommender Systems.
LWA
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2014 — conf
Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.
PAKDD (1)
Lucas Rêgo Drumond, Lars Schmidt-Thieme, Christoph Freudenthaler, Artus Krohn-Grimberghe
2014 A conf
Improving pairwise learning for item recommendation from implicit feedback.
WSDM
Steffen Rendle, Christoph Freudenthaler
2013 — conf
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.
LWA
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2012 J jnl
BPR: Bayesian Personalized Ranking from Implicit Feedback
CoRR
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme
2012 A conf
Exploiting the characteristics of matrix factorization for active learning in recommender systems.
RecSys
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2012 A conf
Multi-relational matrix factorization using bayesian personalized ranking for social network data.
WSDM
Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2012 — conf
Personalized Ranking for Non-Uniformly Sampled Items.
KDD Cup
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2011 C conf
Active learning for aspect model in recommender systems.
CIDM
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011 A* conf
Fast context-aware recommendations with factorization machines.
SIGIR
Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme
2011 — conf
Keyword-Based TV Program Recommendation.
ITWP@IJCAI
Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme
2011 A conf
MyMediaLite: a free recommender system library.
RecSys
Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme
2011 Misc conf
Non-myopic active learning for recommender systems based on Matrix Factorization.
IRI
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2011 B conf
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.
ICTAI
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
2010 A* conf
Factorizing personalized Markov chains for next-basket recommendation.
WWW
Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme
2010 A* conf
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.
ICDM
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme
2009 A conf
BPR: Bayesian Personalized Ranking from Implicit Feedback.
UAI
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme
2009 — conf
Optimal Ranking for Video Recommendation.
UCMedia
Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme