Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization

Author:

Liu Qijiong1ORCID,Xiao Jiaren1ORCID,Fan Lu1ORCID,Zhu Jieming2ORCID,Wu Xiao-Ming1ORCID

Affiliation:

1. The HK PolyU, Hong Kong, Hong Kong

2. Huawei Noah's Ark Lab, Shenzhen, China

Publisher

ACM

Reference56 articles.

1. Additive Quantization for Extreme Vector Compression

2. A Genre-Based Item-Item Collaborative Filtering

3. Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013).

4. John S Breese, David Heckerman, and Carl Kadie. 2013. Empirical analysis of predictive algorithms for collaborative filtering. arXiv preprint arXiv:1301.7363 (2013).

5. Speech coding based upon vector quantization

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