Privacy-Preserving Sequential Recommendation with Collaborative Confusion

no code implementations • 9 Jan 2024 • Wei Wang, Yujie Lin, Pengjie Ren, Zhumin Chen, Tsunenori Mine, Jianli Zhao, Qiang Zhao, Moyan Zhang, Xianye Ben, YuJun Li

Unlike existing research, we capture collaborative signals of neighbor interaction sequences and directly inject indistinguishable items into the target sequence before the recommendation process begins, thereby increasing the perplexity of the target sequence.

Collaborative Filtering Federated Learning +2