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Christoph Freudenthaler
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2010 – 2019
- 2015
- [c17]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Comparing Prediction Models for Active Learning in Recommender Systems. LWA 2015: 171-180 - 2014
- [c16]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: 286-297 - [c15]Steffen Rendle, Christoph Freudenthaler:
Improving pairwise learning for item recommendation from implicit feedback. WSDM 2014: 273-282 - 2013
- [c14]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems. LWA 2013: 149-150 - 2012
- [c13]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Exploiting the characteristics of matrix factorization for active learning in recommender systems. RecSys 2012: 317-320 - [c12]Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Multi-relational matrix factorization using bayesian personalized ranking for social network data. WSDM 2012: 173-182 - [c11]Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Personalized Ranking for Non-Uniformly Sampled Items. KDD Cup 2012: 231-247 - [i1]Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme:
BPR: Bayesian Personalized Ranking from Implicit Feedback. CoRR abs/1205.2618 (2012) - 2011
- [c10]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Active learning for aspect model in recommender systems. CIDM 2011: 162-167 - [c9]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems. ICTAI 2011: 1069-1076 - [c8]Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme:
Keyword-Based TV Program Recommendation. ITWP@IJCAI 2011 - [c7]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Non-myopic active learning for recommender systems based on Matrix Factorization. IRI 2011: 299-303 - [c6]Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme:
MyMediaLite: a free recommender system library. RecSys 2011: 305-308 - [c5]Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme:
Fast context-aware recommendations with factorization machines. SIGIR 2011: 635-644 - 2010
- [c4]Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme:
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations. ICDM 2010: 176-185 - [c3]Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme:
Factorizing personalized Markov chains for next-basket recommendation. WWW 2010: 811-820
2000 – 2009
- 2009
- [c2]Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme:
BPR: Bayesian Personalized Ranking from Implicit Feedback. UAI 2009: 452-461 - [c1]Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme:
Optimal Ranking for Video Recommendation. UCMedia 2009: 255-258
Coauthor Index
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