This paper provides an extensive and thorough overview of the models and techniques
utilized in the first and second stages of the typical information retrieval processing chain …

Abstract Graph Neural Networks (GNNs) are widely used for analyzing graph-structured
data. Most GNN methods are highly sensitive to the quality of graph structures and usually …

Multimedia content is of predominance in the modern Web era. Investigating how users
interact with multimodal items is a continuing concern within the rapid development of …

The prevalence and perniciousness of fake news has been a critical issue on the Internet,
which stimulates the development of automatic fake news detection in turn. In this paper, we …

Multimedia contents are of predominance in the modern Web era. Recent years have
witnessed growing research interests in multimedia recommendation, which aims to predict …

The prevalence and perniciousness of fake news have been a critical issue on the Internet,
which stimulates the development of automatic fake news detection in turn. In this paper, we …

Recent works show the possibility of transferring the CLIP (Contrastive Language-Image
Pretraining) model for video-text retrieval with promising performance. However, due to the …

Graph neural networks (GNNs), as a group of powerful tools for representation learning on
irregular data, have manifested superiority in various downstream tasks. With unstructured …

User profiling has long been an important problem that investigates user interests in many
real applications. Some recent works regard users and their interacted objects as entities of …

Automatic detection of fake news has received widespread attentions over recent years. A
pile of efforts has been put forward to address the problem with high accuracy, while most of …