A lightweight graph convolutional network-based session recommendation method based on multihop attention mechanism
Conversational recommendation aims to predict a user's next potentially interesting item based on a series of historical clicks generated in an anonymous session. In recent years, Graph Convolutional Networks (GCNs) have achieved great success in this field due to their excellent ability to capture complex item transfo...