Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation.
Xuewei Li|Hongwei Chen|Jian Yu|Mankun Zhao|Tianyi Xu|Wenbin Zhang|Mei Yu
| Anthology ID: | DBLP:conf/wsdm/LiCYZX0Y24 |
|---|---|
| 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: | 387-395 |
| URL: | https://doi.org/10.1145/3616855.3635857 |
| DOI: | https://doi.org/10.1145/3616855.3635857 |
| DBLP: | conf/wsdm/LiCYZX0Y24 |
| BibTeX: |
@inproceedings{li-2024-global,
author = {Xuewei Li and
Hongwei Chen and
Jian Yu and
Mankun Zhao and
Tianyi Xu and
Wenbin Zhang and
Mei Yu},
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 = {{Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {387--395},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635857},
doi = {https://doi.org/10.1145/3616855.3635857}
}