Steffen Rendle

发表

Factorization Machines

Steffen Rendle, Steffen Rendle, 2010, 2010 IEEE International Conference on Data Mining.

On Sampled Metrics for Item Recommendation

Walid Krichene, Steffen Rendle, Walid Krichene, 2020, KDD.

Ideas and Improvements for Semantic Wikis

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2006, ESWC.

Zero-Shot Transfer Learning for Query-Item Cold Start in Search Retrieval and Recommendations

Heng-Tze Cheng, Xiang Ma, Ed H. Chi, 2020 .

Optimal Ranking for Video Recommendation

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2009, UCMedia.

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

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2010, 2010 IEEE International Conference on Data Mining.

Graph Based Relational Features for Collective Classification

Steffen Rendle, Uwe Nagel, Immanuel Bayer, 2015, PAKDD.

One-Class Matrix Factorization

Steffen Rendle, 2010 .

Improving pairwise learning for item recommendation from implicit feedback

Steffen Rendle, Christoph Freudenthaler, C. Freudenthaler, 2014, WSDM.

On the Difficulty of Evaluating Baselines: A Study on Recommender Systems pdf

Yehuda Koren, Steffen Rendle, Li Zhang, 2019, ArXiv.

Real World Social Tagging Recommender Systems

Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis, 2012 .

Time-Variant Factorization Models

Steffen Rendle, 2010 .

Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference

Lars Schmidt-Thieme, Steffen Rendle, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Recommender Systems for Social Tagging Systems

Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis, 2012, SpringerBriefs in Electrical and Computer Engineering.

Pairwise interaction tensor factorization for personalized tag recommendation

Lars Schmidt-Thieme, Steffen Rendle, L. Schmidt-Thieme, 2010, WSDM '10.

Ranking from Incomplete Data

Steffen Rendle, 2010 .

Social Tagging Systems

Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis, 2012 .

Factorizing Markov Models for Categorical Time Series Prediction

Lars Schmidt-Thieme, Steffen Rendle, Christoph Freudenthaler, 2011 .

Sample selection for MCMC-based recommender systems

Steffen Rendle, Immanuel Bayer, Thierry Silbermann, 2013, RecSys.

Item Recommendation from Implicit Feedback

Steffen Rendle, Steffen Rendle, 2021, Recommender Systems Handbook.

Factorizing personalized Markov chains for next-basket recommendation

Lars Schmidt-Thieme, Steffen Rendle, Christoph Freudenthaler, 2010, WWW '10.

Learning recommender systems with adaptive regularization

Steffen Rendle, Steffen Rendle, 2012, WSDM '12.

Factorization models for context-/time-aware movie recommendations

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2010 .

MyMediaLite: a free recommender system library

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2011, RecSys '11.

Factorization Machines with libFM

Steffen Rendle, Steffen Rendle, 2012, TIST.

Superbloom: Bloom filter meets Transformer pdf

Qingqing Huang, Walid Krichene, Steffen Rendle, 2020, ArXiv.

MyMedia: Producing an Extensible Framework for Recommendation

Christian Wartena, Steffen Rendle, Paul Marrow, 2009 .

Context-Aware Ranking with Factorization Models

Steffen Rendle, Steffen Rendle, 2010, Studies in Computational Intelligence.

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

Xiangnan He, Steffen Rendle, Immanuel Bayer, 2016, WWW.

Factor Models for Tag Recommendation in BibSonomy

Lars Schmidt-Thieme, Steffen Rendle, L. Schmidt-Thieme, 2009, DC@PKDD/ECML.

Predicting RDF triples in incomplete knowledge bases with tensor factorization

Lars Schmidt-Thieme, Steffen Rendle, Lucas Drumond, 2012, SAC '12.

Robust Large-Scale Machine Learning in the Cloud

Bor-Yiing Su, Steffen Rendle, Eugene J. Shekita, 2016, KDD.

Social Network and Click-through Prediction with Factorization Machines

Steffen Rendle, 2012, KDD 2012.

Adaptive Sampled Softmax with Kernel Based Sampling

Guy Blanc, Steffen Rendle, Steffen Rendle, 2017, ICML.

Factor Models for Recommending Given Names

Steffen Rendle, Immanuel Bayer, 2013 .

Learning Context-Aware Ranking

Steffen Rendle, 2010 .

Object Identification with Constraints

Lars Schmidt-Thieme, Steffen Rendle, L. Schmidt-Thieme, 2006, Sixth International Conference on Data Mining (ICDM'06).

Efficient Training on Very Large Corpora via Gramian Estimation pdf

John R. Anderson, Li Zhang, Walid Krichene, 2018, ICLR.

Evaluation Metrics for Item Recommendation under Sampling pdf

Steffen Rendle, 2019, ArXiv.

Learning optimal ranking with tensor factorization for tag recommendation

Lars Schmidt-Thieme, Alexandros Nanopoulos, Leandro Balby Marinho, 2009, KDD.

BPR: Bayesian Personalized Ranking from Implicit Feedback pdf

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2009, UAI.

Scaling Record Linkage to Non-uniform Distributed Class Sizes

Lars Schmidt-Thieme, Steffen Rendle, 2008, PAKDD.

Sequential-Set Recommendation

Steffen Rendle, 2010 .

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval

Heng-Tze Cheng, Xiang Ma, Tao Wu, 2020, CIKM.

Scaling Factorization Machines to Relational Data

Steffen Rendle, 2013, Proc. VLDB Endow..

Rankmax: An Adaptive Projection Alternative to the Softmax Function

Walid Krichene, Weiwei Kong, Steffen Rendle, 2020, NeurIPS.

Online-updating regularized kernel matrix factorization models for large-scale recommender systems

Lars Schmidt-Thieme, Steffen Rendle, L. Schmidt-Thieme, 2008, RecSys '08.

Network effects on interest rates in online social lending

Ulrik Brandes, Bobo Nick, Steffen Rendle, 2011, GI-Jahrestagung.

Learning to Extract Relations for Relational Classification

Lars Schmidt-Thieme, Steffen Rendle, Christine Preisach, 2009, PAKDD.

Neural Collaborative Filtering vs. Matrix Factorization Revisited

Walid Krichene, Steffen Rendle, Li Zhang, 2020, RecSys.

Information Integration of Partially Labeled Data

Lars Schmidt-Thieme, Steffen Rendle, 2007, GfKl.

Fast context-aware recommendations with factorization machines

Lars Schmidt-Thieme, Zeno Gantner, Steffen Rendle, 2011, SIGIR.

Automatic Regularization of Factorization Models

Steffen Rendle, 2014 .

On Sampled Metrics for Item Recommendation (Extended Abstract)

Walid Krichene, Steffen Rendle, 2021, IJCAI.

Revisiting the Performance of iALS on Item Recommendation Benchmarks pdf

Walid Krichene, Yehuda Koren, Steffen Rendle, 2021, RecSys.

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates

Prateek Jain, Walid Krichene, Steffen Rendle, 2021, ICML.

ALX: Large Scale Matrix Factorization on TPUs pdf

Walid Krichene, Steffen Rendle, Li Zhang, 2021, ArXiv.

iALS++: Speeding up Matrix Factorization with Subspace Optimization pdf

Walid Krichene, Yehuda Koren, Steffen Rendle, 2021, ArXiv.

Factorization Machines Factorized Polynomial Regression Models

Lars Schmidt-Thieme, Steffen Rendle, Christoph Freudenthaler, 2011 .

Relational Classification Using Automatically Extracted Relations by Record Linkage

Lars Schmidt-Thieme, Steffen Rendle, Christine Preisach, 2008 .