Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces

Author:

Bachrach Yoram,Finkelstein Yehuda,Gilad-Bachrach Ran,Katzir Liran,Koenigstein Noam,Nice Nir,Paquet Ulrich

Publisher

ACM Press

Cited by 79 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GUITAR: Gradient Pruning toward Fast Neural Ranking;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Reconsidering Tree based Methods for k-Maximum Inner-Product Search: The LRUS-CoverTree;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Efficient Approximate Maximum Inner Product Search Over Sparse Vectors;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. OneSparse: A Unified System for Multi-index Vector Search;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. Fuzzy Norm-Explicit Product Quantization for Recommender Systems;IEEE Transactions on Fuzzy Systems;2024-05

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