Deep learning-based recommender systems may lead to over-fitting when lacking training
interaction data. This over-fitting significantly degrades recommendation performances. To …

How to capture both users' static and dynamic interests is a general problem for
recommender systems (RSs) in e-commerce. Researchers have recently introduced neural …

Recent e-commerce and location-based services provide personalized recommendations
based on machine-learning models that take into account purchase and visiting histories …

With the explosive growth of the number of online services and the items (ie, products) they
provide, it becomes extremely time-consuming for users to explore their interested products …