Steffen Rendle

2024

doi dblp
Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling.
Anushya Subbiah|Steffen Rendle|Vikram Aggarwal
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2020

doi dblp
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval.
Pei Cao|Roya Rastan|Tao Wu|Ellie Ka In Chio|Heng-Tze Cheng|Yu Du|Steffen Rendle|Dima Kuzmin|Ritesh Agarwal|Li Zhang|John R. Anderson|Sarvjeet Singh|Tushar Chandra|Ed H. Chi|Wen Li|Ankit Kumar|Xiang Ma|Alex Soares|Nitin Jindal|Pei Cao|Roya Rastan
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2017

doi dblp
A Generic Coordinate Descent Framework for Learning from Implicit Feedback.
Immanuel Bayer|Xiangnan He|Bhargav Kanagal|Steffen Rendle
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2014

doi dblp
Improving pairwise learning for item recommendation from implicit feedback.
Steffen Rendle|Christoph Freudenthaler
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014

2012

doi dblp
Factorization Machines with libFM.
Steffen Rendle
ACM Transactions on Intelligent Systems and Technology (TIST) 2012 Volume 3 Issue 3
doi dblp
Learning recommender systems with adaptive regularization.
Steffen Rendle
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012

2011

doi dblp
Fast context-aware recommendations with factorization machines.
Steffen Rendle|Zeno Gantner|Christoph Freudenthaler|Lars Schmidt-Thieme
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011

2010

doi dblp
Pairwise interaction tensor factorization for personalized tag recommendation.
Steffen Rendle|Lars Schmidt-Thieme
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010
doi dblp
Factorizing personalized Markov chains for next-basket recommendation.
Steffen Rendle|Christoph Freudenthaler|Lars Schmidt-Thieme
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010