Task-difficulty-aware meta-learning with adaptive update strategies for user cold-start recommendation
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 …
effectiveness of recommender systems. Meta-learning-based methods are introduced to …
Consistency Regularization for Complementary Clothing Recommendations
This paper reports on the development of a Consistency Regularized model for Bayesian
Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary …
Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary …