DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation.
Shuai Zhang|Hua Chu|Jianan Li|Yangtao Zhou|Shirong Wang|Qiaofei Sun
| Anthology ID: | DBLP:conf/wsdm/ZhangC0ZWS25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 521-529 |
| URL: | https://doi.org/10.1145/3701551.3703532 |
| DOI: | https://doi.org/10.1145/3701551.3703532 |
| DBLP: | conf/wsdm/ZhangC0ZWS25 |
| BibTeX: |
@inproceedings{zhang-2025-dembr,
author = {Shuai Zhang and
Hua Chu and
Jianan Li and
Yangtao Zhou and
Shirong Wang and
Qiaofei Sun},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {521--529},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703532},
doi = {https://doi.org/10.1145/3701551.3703532}
}