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Books and Theses
- 2012
[b1]Zeno Gantner:
Supervised Machine Learning Methods for Item Recommendation. University of Hildesheim, 2012
Journal Articles
- 2012
- [j1]Bart P. Knijnenburg, Martijn C. Willemsen
, Zeno Gantner, Hakan Soncu, Chris Newell:
Explaining the user experience of recommender systems. User Model. User Adapt. Interact. 22(4-5): 441-504 (2012)
Conference and Workshop Papers
- 2012
- [c14]Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl:
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter. CIKM 2012: 1592-1596 - [c13]Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Personalized Ranking for Non-Uniformly Sampled Items. KDD Cup 2012: 231-247 - 2011
- [c12]Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme:
Keyword-Based TV Program Recommendation. ITWP@IJCAI 2011 - [c11]Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
A new evaluation measure for learning from imbalanced data. IJCNN 2011: 537-542 - [c10]Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme:
MyMediaLite: a free recommender system library. RecSys 2011: 305-308 - [c9]Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme:
Fast context-aware recommendations with factorization machines. SIGIR 2011: 635-644 - 2010
- [c8]Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme:
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations. ICDM 2010: 176-185 - [c7]Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
Cost-sensitive learning methods for imbalanced data. IJCNN 2010: 1-8 - 2009
- [c6]Matthias Westphal, Stefan Wölfl, Zeno Gantner:
GQR: A Fast Solver for Binary Qualitative Constraint Networks. AAAI Spring Symposium: Benchmarking of Qualitative Spatial and Temporal Reasoning Systems 2009: 51-52 - [c5]Zeno Gantner, Lars Schmidt-Thieme:
Automatic Content-Based Categorization of Wikipedia Articles. PWNLP@IJCNLP 2009: 32-37 - [c4]Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme:
BPR: Bayesian Personalized Ranking from Implicit Feedback. UAI 2009: 452-461 - [c3]Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme:
Optimal Ranking for Video Recommendation. UCMedia 2009: 255-258 - 2006
- [c2]Jochen Fischer, Zeno Gantner, Steffen Rendle, Manuel Stritt, Lars Schmidt-Thieme:
Ideas and Improvements for Semantic Wikis. ESWC 2006: 650-663 - [c1]Thierry Declerck, Asunción Gómez-Pérez, Ovidiu Vela, Zeno Gantner, David Manzano-Macho:
Multilingual Lexical Semantic Resources for Ontology Translation. LREC 2006: 1492-1495
Parts in Books or Collections
- 2013
- [p1]Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution. Classification and Data Mining 2013: 121-129
Informal and Other Publications
- 2012
- [i1]Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme:
BPR: Bayesian Personalized Ranking from Implicit Feedback. CoRR abs/1205.2618 (2012)
Coauthor Index
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