Ensuring privacy and correlation awareness in multi-dimensional service quality prediction and recommendation for IoT

Weiyi Zhong, Wei Fang, Yifan Zhao, Sifeng Wang, Chao Yan, Rong Jiang, Maqbool Khan, Xuan Yang, Wajid Rafique

Abstract: Highlights•We employ LSH to ensure user privacy when integrating multi-source IoT data.•We develop an approach to mitigate the correlations between various dimensions of IoT data.•We conduct experiments on the real dataset WS-DREAM, comparing 5 methods across 6 metrics.