Sitao Lin

CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation

Sequential recommendation systems aim to predict the next item based on users' historical interactions. While traditional methods focus on learning feature representations or user preferences, they often struggle with detecting subtle demand shifts in short sequences, especially when these shifts ar…