Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems

Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. In Amal El Fallah-Seghrouchni, Gita Sukthankar, Tie-Yan Liu, Maarten van Steen, editors, Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. pages 562-566, ACM / IW3C2, 2020. [doi]

@inproceedings{KangCCYLHC20,
  title = {Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems},
  author = {Wang-Cheng Kang and Derek Zhiyuan Cheng and Ting Chen and Xinyang Yi and Dong Lin and Lichan Hong and Ed H. Chi},
  year = {2020},
  doi = {10.1145/3366424.3383416},
  url = {https://doi.org/10.1145/3366424.3383416},
  researchr = {https://researchr.org/publication/KangCCYLHC20},
  cites = {0},
  citedby = {0},
  pages = {562-566},
  booktitle = {Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020},
  editor = {Amal El Fallah-Seghrouchni and Gita Sukthankar and Tie-Yan Liu and Maarten van Steen},
  publisher = {ACM / IW3C2},
  isbn = {978-1-4503-7024-0},
}