Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce

Zhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng. Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. In Ricardo Baeza-Yates, Francesco Bonchi, editors, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024. pages 5398-5408, ACM, 2024. [doi]

@inproceedings{LinTOCYZ24,
  title = {Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce},
  author = {Zhe Lin and Jiwei Tan and Dan Ou and Xi Chen and Shaowei Yao and Bo Zheng},
  year = {2024},
  doi = {10.1145/3637528.3671559},
  url = {https://doi.org/10.1145/3637528.3671559},
  researchr = {https://researchr.org/publication/LinTOCYZ24},
  cites = {0},
  citedby = {0},
  pages = {5398-5408},
  booktitle = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024},
  editor = {Ricardo Baeza-Yates and Francesco Bonchi},
  publisher = {ACM},
  isbn = {979-8-4007-0490-1},
}