Christoph Freudenthaler

According to our database, Christoph Freudenthaler authored at least 16 papers between 2009 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

Comparing Prediction Models for Active Learning in Recommender Systems.

Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the LWA 2015 Workshops: KDML, 2015

2014

Improving pairwise learning for item recommendation from implicit feedback.

Steffen Rendle, Christoph Freudenthaler

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.

Lucas Rêgo Drumond, Lars Schmidt-Thieme, Christoph Freudenthaler, Artus Krohn-Grimberghe

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.

Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the LWA 2013. Lernen, 2013

2012

Personalized Ranking for Non-Uniformly Sampled Items.

Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Multi-relational matrix factorization using bayesian personalized ranking for social network data.

Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Exploiting the characteristics of matrix factorization for active learning in recommender systems.

Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Fast context-aware recommendations with factorization machines.

Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

MyMediaLite: a free recommender system library.

Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Non-myopic active learning for recommender systems based on Matrix Factorization.

Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Keyword-Based TV Program Recommendation.

Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme

Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

Active learning for aspect model in recommender systems.

Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Factorizing personalized Markov chains for next-basket recommendation.

Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme

Proceedings of the 19th International Conference on World Wide Web, 2010

Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.

Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme

Proceedings of the ICDM 2010, 2010

2009

Optimal Ranking for Video Recommendation.

Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme

Proceedings of the User Centric Media - First International Conference, 2009

BPR: Bayesian Personalized Ranking from Implicit Feedback.

Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme

Proceedings of the UAI 2009, 2009