… Along this line, we propose utilizing the volume of the intersection areas as the matching
score. However, we may encounter the gradient vanishing issue if there is no overlap between …

… Along this line, we propose a customized and heuristic approach to obtain user-specific
correlation scores. In particular, according to the collections of items that users have interacted …

Graph learning methods have achieved remarkable performance in various domains such
as social recommendation, financial fraud detection, and so on. In real applications, the …

… Along this line, we propose a simple yet effective method to … Along this line, we will introduce
how we construct the dual-view … Along this line, we realize that the essence of user interest …

Last year has witnessed the considerable interest of Large Language Models (LLMs) for their
potential applications in recommender systems, which may mitigate the persistent issue of …

… The proliferation of fake news on social media platforms poses significant challenges to …
by purveyors of fake news continue to evolve, there is an urgent need for automatic fake news …

… Yi-Chieh Jessica Lin reveals how the entrepreneurial energy of emerging markets, such
as China, includes the opportunity to profit from fake stuff, that is counterfeit goods that rely on …

… in line with our predictions, higher analytical reasoning was associated with more accurate
detection of fake … provides support for a role of analytical reasoning on fake news detection. In …

… of fake news detection as a binary classification, where a model is created to predict the
credibility of a piece of news as either fake … The goal of fake news detection is to predict whether …

… In this paper, we explore the issue on fake review … of fake reviews firstly. Based on review
contents and reviewer behaviors, six time sensitive features are proposed to highlight the fake …