Most existing point-of-interest (POI) recommenders aim to capture user
p...
The conventional single-target Cross-Domain Recommendation (CDR) aims to...
Conversational recommender systems (CRSs) have become crucial emerging
r...
Current study on next POI recommendation mainly explores user sequential...
Current session-based recommender systems (SBRSs) mainly focus on maximi...
Recently, one critical issue looms large in the field of recommender sys...
Re-ranking models refine the item recommendation list generated by the p...
Many recent studies in deep reinforcement learning (DRL) have proposed t...
Recent studies have revealed that neural network-based policies can be e...
Knowledge graphs (KGs) have proven to be effective for highquality
recom...
Recommender systems have become an essential tool to help resolve the
in...
Capturing the temporal dynamics of user preferences over items is import...