Jing Lin

FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation

2020

Sequential recommendation has been a hot research topic because of its practicability and high accuracy by capturing the sequential information. As deep learning (DL) based methods being widely adopted to model the local and dynamic …