Ke Deng

Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks

2024 · IEEE Transactions on Knowledge and Data Engineering

Session-based Recommender Systems (SBRSs) aim at timely predicting the next likely item by capturing users’ current preferences in sessions. Existing SBRSs research only focuses on maximizing session utilities, and little has been done on the …