Christoph Freudenthaler

Publication Activity (10 Years)

Years Active: 2009-2015
Publications (10 Years): 0

Top Topics

Matrix Factorization

Active Learning

Recommender Systems

Implicit Feedback

Top Venues

Publications

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