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ALX: Large Scale Matrix Factorization on TPUs


Dec 03, 2021
Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang


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iALS++: Speeding up Matrix Factorization with Subspace Optimization


Oct 26, 2021
Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren


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Revisiting the Performance of iALS on Item Recommendation Benchmarks


Oct 26, 2021
Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren


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


Jul 20, 2021
Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang


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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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