Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …

Recommendation systems have become popular and effective tools to help users discover
their interesting items by modeling the user preference and item property based on implicit …

The popularity of deep learning has led to the curation of a vast number of massive and
multifarious datasets. Despite having close-to-human performance on individual tasks …

Although recommender systems (RSs) play a crucial role in our society, previous studies
have revealed that the performance of RSs may considerably differ between groups of …

In the field of sequential recommendation, deep learning--(DL) based methods have
received a lot of attention in the past few years and surpassed traditional models such as …

Mainstream solutions to sequential recommendation represent items with fixed vectors.
These vectors have limited capability in capturing items' latent aspects and users' diverse …

Owing to its nature of scalability and privacy by design, federated learning (FL) has received
increasing interest in decentralized deep learning. FL has also facilitated recent research on …

Sequential recommendation as an emerging topic has attracted increasing attention due to
its important practical significance. Models based on deep learning and attention …

Aiming at exploiting the rich information in user behaviour sequences, sequential
recommendation has been widely adopted in real-world recommender systems. However …

Sequential Cross-Domain Recommendation (CDR) has been popularly studied to utilize
different domain knowledge and users' historical behaviors for the next-item prediction. In …