Recommender systems have become a fundamental service in most E-Commerce platforms,
in which the matching stage aims to retrieve potentially relevant candidate items to users …

As recent multi-modality large language models (MLLMs) have shown formidable proficiency
on various complex tasks, there has been increasing attention on debating whether these …

The large-scale recommender system mainly consists of two stages: matching and ranking.
The matching stage (also known as the retrieval step) identifies a small fraction of relevant …

Graph analytics have been gaining traction rapidly in the past few years. It has a wide array
of application areas in the industry, ranging from e-commerce, social networks and …

Graph neural networks (GNNs) have been demonstrated as a powerful tool for analyzing
non-Euclidean graph data. However, the lack of efficient distributed graph learning systems …

Background Adolescent depression has profound impacts on physical, cognitive, and
emotional development. While gut microbiota changes have been linked to depression, the …

Purpose This paper aims to develop and compare several elicitation criterions for decision
making of incomplete soft sets which are generated by restricted intersection. Design/…

The hot deformation test of the nano silicon carbide (nano-SiC) and carbon nano tubes (CNT)
hybrid-reinforced AZ80 matrix composite was performed at compression temperatures of …

The bandgap tunability of halide perovskites makes perovskite solar cells excellent building
blocks for multijunction architectures that can overcome the fundamental efficiency limits of …

This review focuses on monolithic 2‐terminal perovskite‐silicon tandem solar cells and
discusses key scientific and technological challenges to address in view of an industrial …