Improved negative sampling method in collaborative filtering recommendation based on Generative adversarial network

Mingjie Li, Yunhan Liu, Weiwei Jiang, Yuxuan Zhu, Jiuchuan Jiang, Mingfeng Jiang, Shuqing Li

Abstract: Highlights•Improve recommendation with implicit feedback information and negative sampling.•Use uninteresting items based on temporal visibility for negative sampling.•Combining strong negative sampling and weak negative sampling.•Build implicit feedback recommendation model based on conditional GAN.