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
| Anthology ID: | DBLP:conf/wsdm/ChangAM24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 67-76 |
| URL: | https://doi.org/10.1145/3616855.3635755 |
| DOI: | https://doi.org/10.1145/3616855.3635755 |
| DBLP: | conf/wsdm/ChangAM24 |
| BibTeX: |
@inproceedings{chang-2024-copy,
author = {Haw-Shiuan Chang and
Nikhil Agarwal and
Andrew McCallum},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {67--76},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635755},
doi = {https://doi.org/10.1145/3616855.3635755}
}