Going beyond the user–item rating information, recent studies have utilized additional
information to improve the performance of recommender systems. Graph neural network …

To perform online inference efficiently, hashing techniques, devoted to encoding model
parameters as binary codes, play a key role in reducing the computational cost of content …

Review contains user opinions about different aspects of an item, which is essential data for
aspect-level recommendation. Most existing aspect-level recommendation algorithms are …

Recent years have witnessed the explosive growth of interaction behaviors in multimedia
information systems, where multi-behavior recommender systems have received increasing …

In this paper we propose an aspect-based recommendation model based on variational
autoencoders, that provides not only coarse predictions about what items users may like, but …

Multimodal recommendation systems aim to capture diverse user preferences through data
such as text and images, offering more personalized recommendation services. Accurately …