Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval

Aug 19, 2020
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao

* Accepted at CIKM 2020 

  Access Paper or Ask Questions

Neural Collaborative Filtering vs. Matrix Factorization Revisited

Jun 01, 2020
Steffen Rendle, Walid Krichene, Li Zhang, John Anderson


  Access Paper or Ask Questions

Superbloom: Bloom filter meets Transformer

Feb 11, 2020
John Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang


  Access Paper or Ask Questions

Evaluation Metrics for Item Recommendation under Sampling

Dec 04, 2019
Steffen Rendle


  Access Paper or Ask Questions

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

May 04, 2019
Steffen Rendle, Li Zhang, Yehuda Koren


  Access Paper or Ask Questions

Adaptive Sampled Softmax with Kernel Based Sampling

Aug 01, 2018
Guy Blanc, Steffen Rendle


  Access Paper or Ask Questions

Efficient Training on Very Large Corpora via Gramian Estimation

Jul 18, 2018
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson


  Access Paper or Ask Questions

Graph Based Relational Features for Collective Classification

Feb 09, 2017
Immanuel Bayer, Uwe Nagel, Steffen Rendle

* Pacific-Asia Conference on Knowledge Discovery and Data Mining 

  Access Paper or Ask Questions

A Generic Coordinate Descent Framework for Learning from Implicit Feedback

Nov 15, 2016
Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle


  Access Paper or Ask Questions

BPR: Bayesian Personalized Ranking from Implicit Feedback

May 09, 2012
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

  Access Paper or Ask Questions