Jiandong Zhang

Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement

2024

Cross-Domain Recommendation (CDR) is a promising technique to alleviate data sparsity by transferring knowledge across domains. However, the negative transfer issue in the presence of numerous domains has received limited attention. Most existing methods transfer …

Contrastive Learning for Sequential Recommendation

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Sequential recommendation methods play a crucial role in modern recommender systems because of their ability to capture a user's dynamic interest from her/his historical inter-actions. Despite their success, we argue that these approaches usually rely …