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Item Recommendation from Implicit Feedback

Jan 21, 2021
Steffen Rendle

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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 

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Neural Collaborative Filtering vs. Matrix Factorization Revisited

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

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Superbloom: Bloom filter meets Transformer

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

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Evaluation Metrics for Item Recommendation under Sampling

Dec 04, 2019
Steffen Rendle

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

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

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Adaptive Sampled Softmax with Kernel Based Sampling

Aug 01, 2018
Guy Blanc, Steffen Rendle

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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

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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 

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A Generic Coordinate Descent Framework for Learning from Implicit Feedback

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

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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) 

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