Generative models are a class of AI models capable of creating new instances of data by
learning and sampling from their statistical distributions. In recent years, these models have …

In recent years, bundle recommendation systems have gained significant attention in both
academia and industry due to their ability to enhance user experience and increase sales by …

With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …

Many recommendation systems limit user inputs to text strings or behavior signals such as
clicks and purchases, and system outputs to a list of products sorted by relevance. With the …

Recommender systems remain an essential topic due to its wide application in various
domains and the business potential behind them. With the rise of deep learning, common …

Popular fashion compatibility modeling aims to quantitatively assess the compatibility of a
set of wearable items for everyday pairings and clothing purchases to assist human decision …

Personalized content filtering, such as recommender systems, has become a critical
infrastructure to alleviate information overload. However, these systems merely filter existing …

Artificial intelligence generated content (AIGC) technology has brought challenges and
opportunities for the fashion industry. However, the factors influencing the willingness of …

The distributionally robust optimization (DRO)-based graph neural network methods
improve recommendation systems' out-of-distribution (OOD) generalization by optimizing the …

Cross-domain recommendation (CDR) has been proven as a promising way to alleviate the
cold-start issue, in which the most critical problem is how to draw an informative user …