Progress in Meta Learning part3(Machine Learning)
1. Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation(arXiv) Author : Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim Abstract : Sequential recommenders have made great strides in capturing a user’s preferences. Nevertheless, the cold-start recommendation remains a fundamental challenge in which only a few user-item interactions are…
Progress in Meta Learning part3(Machine Learning) 1. Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation(arXiv) Author : Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim Abstract : Sequential recommenders have made great strides in capturing a user’s preferences. Nevertheless, the cold-start recommendation remains a fundamental challenge in which only a few user-item interactions are… deep-learning
Progress Meta Learning part3Machine Learning 1 MetaLearning Adaptive Weighted Loss Imbalanced ColdStart RecommendationarXiv Author Minchang Kim Yongjin Yang Jung Hyun Ryu Taesup Kim Abstract Sequential recommenders made great stride capturing user’s preference Nevertheless coldstart recommendation remains fundamental challenge useritem interaction are… deeplearning