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} }