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} }