As the book publishing market changes from offline to online, readers tend to purchase
books while paying more attention to book covers and metadata rather than the actual book …

With the notable growth of the Internet, a number of platforms have emerged and attracted
an enormous number of users. Based on the impact of these platforms, some 'influencers' …

Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …

We propose deep learning-based models for the risk detection of underground pipelines. To
build effective diagnosis models, we construct two types of deep neural network frameworks …

Abstract 'Webtoon'a digital version of comics, is one of the leading mainstream cultural
contents accessed in South Korea. While the country has allowed a number of webtoon …

We propose iMovieRec, a hybrid movie recommendation method that employs an image-
user-item model, which utilizes both CF models and graph features. The purpose of this …

This study aims to investigate media bias in news articles related to defense and foreign
affairs by applying deep learning models and eXplainable artificial intelligence (XAI) …

The expansion of the Internet has resulted in a change in the flow of information. With the
vast amount of digital information generated online, it is easy for users to feel overwhelmed …

Microblogging platforms have seen exponential growth, leading to an abundance of user-
generated content. The challenge now is to efficiently extract crucial information from this …

Tag recommendation is critical in organizing and managing resources on social media
platforms. The incessant deluge of new content and terms and the challenge of creating new …