Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering-Reference-Cited by-同舟云学术

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Chen Jin¹,Lian Defu²,Jin Binbin³,Huang Xu²,Zheng Kai⁴,Chen Enhong²

Affiliation:

1. University of Electronic Science and Technology of China, China and University of Science and Technology of China, China

2. University of Science and Technology of China, China

3. Huawei Cloud Computing Technologies Co., Ltd., China

4. University of Electronic Science and Technology of China, China

Funder

Shenzhen Municipal Science and Technology R&D Funding Basic Research Program

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512068

Reference49 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin . 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions . IEEE transactions on knowledge and data engineering 17, 6( 2005 ), 734–749. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering 17, 6(2005), 734–749.

2. Additive Quantization for Extreme Vector Compression

3. Artem Babenko and Victor Lempitsky . 2014. The inverted multi-index . IEEE transactions on pattern analysis and machine intelligence 37, 6( 2014 ), 1247–1260. Artem Babenko and Victor Lempitsky. 2014. The inverted multi-index. IEEE transactions on pattern analysis and machine intelligence 37, 6(2014), 1247–1260.

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

5. Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

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