In recent years, the boundaries between e-commerce and social networking have become
increasingly blurred. Many e-commerce Web sites support the mechanism of social login …

State-of-the-art approaches for text classification leverage a transformer architecture with a
linear layer on top that outputs a class distribution for a given prediction problem. While …

Product recommender systems are often deployed by e-commerce websites to improve user
experience and increase sales. However, recommendation is limited by the product …

Online e-commerce applications are becoming a primary vehicle for people to find,
compare, and ultimately purchase products. One of the fundamental questions that arises in …

Social media platforms are often used by people to express their needs and desires. Such
data offer great opportunities to identify users' consumption intention from user-generated …

People's daily information sharing and acquisition through the Internet has become more
and more popular. The comprehensive multimodal marketing advertorial generated by 'We …

In this paper, we propose to study the problem of identifying and classifying tweets into intent
categories. For example, a tweet “I wanna buy a new car” indicates the user's intent for …

In many e-commerce Web sites, product recommendation is essential to improve user
experience and boost sales. Most existing product recommender systems rely on historical …

Social media platforms facilitate the emergence of citizen communities that discuss real-
world events. Their content reflects a variety of intent ranging from social good (eg …

In the age of rapid internet expansion, social media platforms like Twitter have become
crucial for sharing information, expressing emotions, and revealing intentions during crisis …