Multi-view learning aims to combine multiple features to achieve more comprehensive
descriptions of data. Most previous works assume that multiple views are strictly aligned …

Existing recommendation methods usually train several independent modules for each
rating information instead of an end-to-end manner. Therefore, these methods may be …

The multiplayer online battle arena (MOBA) genre has gained significant popularity and
economic success, attracting considerable research interest within the Human-Computer …

The objective of session-based recommendation (SBR) is to use the current session to
predict the next item an anonymous user will most likely click on. Currently, almost all SBR …

Multiview learning has drawn widespread attention for its efficacy in leveraging cross-view
consensus and complementarity information to achieve a comprehensive representation of …

Recent recommender systems aim to provide not only accurate recommendations but also
explanations that help users understand them better. However, most existing explainable …