AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Juyong Jiang|Peiyan Zhang|Yingtao Luo|Chaozhuo Li|Jae Boum Kim|Kai Zhang|Senzhang Wang|Xing Xie|Sunghun Kim
| Anthology ID: | DBLP:conf/cikm/JiangZLLKZW0023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 976-986 |
| URL: | https://doi.org/10.1145/3583780.3614773 |
| DOI: | https://doi.org/10.1145/3583780.3614773 |
| DBLP: | conf/cikm/JiangZLLKZW0023 |
| BibTeX: |
@inproceedings{jiang-2023-adamct,
author = {Juyong Jiang and
Peiyan Zhang and
Yingtao Luo and
Chaozhuo Li and
Jae Boum Kim and
Kai Zhang and
Senzhang Wang and
Xing Xie and
Sunghun Kim},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {976--986},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614773},
doi = {https://doi.org/10.1145/3583780.3614773}
}