To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders

Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum. To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 67-76, ACM, 2024. [doi]

@inproceedings{ChangAM24,
  title = {To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders},
  author = {Haw-Shiuan Chang and Nikhil Agarwal and Andrew McCallum},
  year = {2024},
  doi = {10.1145/3616855.3635755},
  url = {https://doi.org/10.1145/3616855.3635755},
  researchr = {https://researchr.org/publication/ChangAM24},
  cites = {0},
  citedby = {0},
  pages = {67-76},
  booktitle = {Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024},
  editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andrés Muñoz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii},
  publisher = {ACM},
}