Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.
Changxin Tian|Binbin Hu|Wayne Xin Zhao|Zhiqiang Zhang|Jun Zhou
| Anthology ID: | DBLP:conf/cikm/TianHZ0Z23 |
|---|---|
| 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: | 2442-2451 |
| URL: | https://doi.org/10.1145/3583780.3615007 |
| DOI: | https://doi.org/10.1145/3583780.3615007 |
| DBLP: | conf/cikm/TianHZ0Z23 |
| BibTeX: |
@inproceedings{tian-2023-periodicity,
author = {Changxin Tian and
Binbin Hu and
Wayne Xin Zhao and
Zhiqiang Zhang and
Jun Zhou},
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 = {{Periodicity May Be Emanative: Hierarchical Contrastive Learning 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 = {2442--2451},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615007},
doi = {https://doi.org/10.1145/3583780.3615007}
}