Learning dynamic user preference has become an increasingly important component for
many online platforms (eg, video-sharing sites, e-commerce systems) to make sequential …

Providing sequential recommendations along with easily comprehensible natural language
explanations can significantly enhance users' trust in the recommender systems. However …

Session-based recommendation (SBR) aims to recommend the next clicked item to users by
mining the user's interaction sequences in the current session. It has received widespread …

An increasingly important aspect of designing recommender systems involves considering
how recommendations will influence consumer choices. This paper addresses this issue by …

The widespread adoption of location-based applications has created a growing demand for
point-of-interest (POI) recommendation, which aims to predict a user's next POI based on …

The Multi-Agent Path Finding (MAPF) problem aims to determine the shortest and collision-
free paths for multiple agents in a known, potentially obstacle-ridden environment. It is the …