WWW / The Web Conference

PRISM: Personalized Recommendation via Information Synergy Module

基于信息协同模块的个性化推荐（PRISM）

Xinyi Zhang, Yutong Li, Peijie Sun, Letian Sha, Zhongxuan Han

AI总结 PRISM通过信息协同模块实现个性化推荐，通过分解多模态信息并动态加权以提升推荐效果。

Comments Accepted as a Full Paper at WWW 2026

Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation

关注尾部的数据增强用于长尾序列推荐

Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang

AI总结 TADA通过增强尾部物品交互频率并保持头部性能，提升长尾序列推荐模型的学习能力。

Comments Accepted by WWW 2026