Task-difficulty-aware meta-learning with adaptive update strategies for user cold-start recommendation

X Zhao, Y Zhu, C Wang, M **g, J Yu… - Proceedings of the 32nd …, 2023 - dl.acm.org
User cold-start recommendation is one of the most challenging problems that limit the
effectiveness of recommender systems. Meta-learning-based methods are introduced to …

Consistency Regularization for Complementary Clothing Recommendations

S Liao, PY Mok, L Li - arxiv preprint arxiv:2411.12295, 2024 - arxiv.org
This paper reports on the development of a Consistency Regularized model for Bayesian
Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary …