Academic Research using MyMediaLite
- Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme:
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations,
in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia. - Zeno Gantner, Steffen Rendle, Lars Schmidt-Thieme:
Factorization Models for Context-/Time-Aware Movie Recommendations,
in Challenge on Context-aware Movie Recommendation (CAMRa2010), ACM, Barcelona, Spain.Winner of 'Weekly Recommendation' and 'Live Evaluation' tracks. -
Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme:
Keyword-Based TV Program Recommendation,
9th Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP'11), Barcelona, Spain. -
Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Bayesian Personalized Ranking for Non-Uniformly Sampled Items,
KDD Cup Workshop 2011, San Diego, USA. -
Suhrid Balakrishnan, Rensheng Wang, Carlos Scheidegger, Angus MacLellan, Yifan Hu, Aaron Archer:
Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2,
KDD Cup Workshop 2011, San Diego, USA. -
Nguyen Thai-Nghe, Lucas Drumond, Tomáš Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Matrix and Tensor Factorization for Predicting Student Performance,
in Proceedings of the 3rd International Conference on Computer Supported Education (CSEDU 2011).Best Student Paper Award. -
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Nuria Oliver, Alan Hanjalic:
CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering, RecSys 2012, Dublin, Ireland.Best Paper Award. -
Marco Tulio Ribeiro, Anisio Lacerda, Adriano Veloso, Nivio Ziviani:
Pareto-Efficient Hybridization for Multi-Objective Recommender Systems, RecSys 2012, Dublin, Ireland. -
Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl:
Real-Time Top-N Recommendation in Social Streams, RecSys 2012, Dublin, Ireland. -
Sebastian Schelter, Christoph Boden, Volker Markl:
Scalable Similarity-Based Neighborhood Methods with MapReduce, RecSys 2012, Dublin, Ireland. -
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, Nuria Oliver:
TFMAP: optimizing MAP for top-n context-aware recommendation, SIGIR 2012, Beijing, China. -
Brian McFee, Thierry Bertin-Mahieux, Daniel P.W. Ellis, Gert R.G. Lanckriet:
The million song dataset challenge. -
Brian McFee, Gert R.G. Lanckriet:
Hypergraph Models of Playlist Dialects, ISMIR 2012 [source code]. -
Joonseok Lee, Mingxuan Sun, Guy Lebanon:
PREA: Personalized Recommendation Algorithms Toolkit, Journal of Machine Learning Research 2012. -
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima:
Self-measuring Similarity for Multi-task Gaussian Process,
Unsupervised and Transfer Learning Workshop at ICML 2011, published in JMLR: Workshop and Conference Proceedings Volume 27. -
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, Maui, USA. -
Rebecca Gregory-Clarke, Chris Newell:
TV Recommender System Field Trial Using Dynamic Collaborative Filtering, Euro ITV 2012, Berlin, Germany. -
M. Mihelcic, N. Antulov-Fantulin, M. Bosnjak, T. Smuc:
Extending RapidMiner with recommender systems algorithms, RapidMiner Community Meeting and Conference 2012, Budapest, Hungary. - Folke Mitzlaff, Gerd Stumme: Recommending Given Names -- Mining Relatedness of Given Names based on Data from the Social Web
- Chris Newell, Libby Miller: Design and evaluation of a client-side recommender system ACM RecSys 2013, Hong Kong.