Books
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Journals
- Steffen Rendle (2012):
Factorization Machines with libFM, in ACM Transactions on Intelligent Systems and Technology (TIST 2012), 3(3), ACM, May 2012.
[BibTeX] [Software]
International Conferences
- Thierry Silbermann, Immanuel Bayer, Steffen Rendle (2013):
Sample selection for MCMC-based recommender systems, in Proceedings of the 7th ACM conference on Recommender systems (RecSys 2013), Hong Kong, China. - Steffen Rendle (2013):
Scaling Factorization Machines to Relational Data, in Proceedings of the 39th international conference on Very Large Data Bases (VLDB 2013), Trento, Italy. [BibTeX] [Software]
- Steffen Rendle (2012):
Learning Recommender Systems with Adaptive Regularization, in Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM 2012), Seattle. [BibTeX] [Software] - Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme (2012):
Predicting RDF Triples in Incomplete Knowledge Bases with Tensor Factorization, in Proceedings of the 27th ACM International Symposium on Applied Computing (SAC 2012), Riva del Garda, Italy. - Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
Fast Context-aware Recommendations with Factorization Machines, in Proceeding of the 34th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2011), Beijing, China. [Supplementary material & software] - Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
MyMediaLite: A Free Recommender System Library, in 5th ACM International Conference on Recommender Systems (RecSys 2011), Chicago, USA. [Software] - Steffen Rendle (2010):
Factorization Machines, in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia. [Supplementary material & software] - Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2010):
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations, in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia. - Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme (2010):
Factorizing Personalized Markov Chains for Next-Basket Recommendation, in Proceedings of the 19th International World Wide Web Conference (WWW 2010), ACM. Best Paper Award. - Steffen Rendle, Lars Schmidt-Thieme (2010):
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation, in Proceedings of the Third ACM International Conference on Web Search and Data Mining (WSDM 2010), ACM. Best Student Paper Award. [Software] - Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme (2009):
BPR: Bayesian Personalized Ranking from Implicit Feedback, in Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). - Steffen Rendle, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme (2009):
Learning Optimal Ranking with Tensor Factorization for Tag Recommendation, in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2009), Paris, ACM. - Steffen Rendle, Christine Preisach, Lars Schmidt-Thieme (2009):
Learning to Extract Relations for Relational Classification, in Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Springer. - Steffen Rendle, Lars Schmidt-Thieme (2008):
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference, in Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), Pisa. - Steffen Rendle, Lars Schmidt-Thieme (2008):
Online-Updating Regularized Kernel Matrix Factorization Models for Large-Scale Recommender Systems, in Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 2008), ACM. - Steffen Rendle, Lars Schmidt-Thieme (2008):
Scaling Record Linkage to Non-Uniform Distributed Class Sizes, in Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Osaka, Springer. - Steffen Rendle, Lars Schmidt-Thieme (2006):
Object Identification with Constraints, in Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), Hong Kong. - Jochen Fischer, Zeno Gantner, Steffen Rendle, Manuel Stritt, Lars Schmidt-Thieme (2006):
Ideas and Improvements for Semantic Wikis, in Proceedings of the Third European Semantic Web Conference (ESWC 2006), Budva, Montenegro, Springer.
Workshops & Challenges
- Immanuel Bayer, Thierry Silbermann, (2013):
A Multi Modal Approach to Gesture Recognition from Audio and Video Data, Multi-modal Challenge workshop, held in conjunction with ICMI 2013. Awarded 3rd Place (Chalearn Multi-Modal Gesture Recognition Challenge 2013) - Imannuel Bayer and Steffen Rendle (2013):
Factor Models for Recommending Given Names, in ECML PKDD Discovery Challenge Workshop, 2013. Awarded 1st Place (Online Challenge), 2nd Place (Offline Challenge)
[Slides] - Steffen Rendle (2012):
Social Network and Click-through Prediction with Factorization Machines, in KDD-Cup Workshop, 2012. Awarded 2nd Place (Track 1), 3rd Place (Track 2) [Slides] - Ulrik Brandes, Jürgen Lerner, Bobo Nick, Steffen Rendle (2011):
Network Effects on Interest Rates in Online Social Lending, Proc. INFORMATIK 2011 - Informatik schafft Communities (4th Workshop Digitale soziale Netze) GI Edition - Lecture Notes in Informatics (LNI), P-192, 2011. - Christoph Freudenthaler, Lars Schmidt-Thieme, Steffen Rendle (2011):
Bayesian Factorization Machines, in Workshop on Sparse Representation and Low-rank Approximation, Neural Information Processing Systems (NIPS-WS), Granada, Spain. - Christoph Freudenthaler, Lars Schmidt-Thieme, Steffen Rendle (2011):
Factorization Machines - Factorized Polynomial Regression Models, in Proceedings of the 2nd German Polish Symposium on Data Analysis and Its Applications (GPSDAA 2011), Cracow, Poland. - Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2011):
Factorizing Markov Models for Categorical Time Series Prediction, in American Institute of Physics (AIP) Conference Proceedings of the 9th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Halkidiki, Greece. - Zeno Gantner, Steffen Rendle, Lars Schmidt-Thieme (2010):
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. - Steffen Rendle, Lars Schmidt-Thieme (2009):
Factor Models for Tag Recommendation in BibSonomy, in ECML/PKDD Discovery Challenge 2009 at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-DC 2009). Best Discovery Challenge Award. [Software] - Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2009):
Optimal Ranking for Video Recommendation, in User Centric Media: First International Conference, UCMedia 2009, Revised Selected Papers, Springer. - Paul Marrow, Rich Hanbidge, Steffen Rendle, Christian Wartena, Christoph Freudenthaler (2009):
MyMedia: Producing an Extensible Framework for Recommendation, in Networked Electronic Media Summit 2009. - Christine Preisach, Steffen Rendle, Lars Schmidt-Thieme (2008):
Relational Classification Using Automatically Extracted Relations by Record Linkage, in Proceedings of the High Level Information Extraction Workshop at the European Conference on Machine Learning (ECML-WS 2008). - Steffen Rendle, Lars Schmidt-Thieme (2007):
Information Integration of Partially Labeled Data, in Proceedings of 31st Annual Conference of the German Classification Society (GfKl 2007), Freiburg, Springer.
