Chiehyeon Lim

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention

2024 · arXiv (Cornell University)

Sequential recommender systems identify user preferences from their past interactions to predict subsequent items optimally. Although traditional deep-learning-based models and modern transformer-based models in previous studies capture unidirectional and bidirectional patterns within user-item interactions, the …