Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …

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 …

Traditional user research methods are challenged for the decision-making in product design
and improvement with the updating speed becoming faster, considering limited survey …

Explainable Recommendation aims at not only providing the recommended items to users,
but also enabling users to be aware of why these items are recommended. To better …

E-commerce platforms often use a predefined structured hierarchy of product categories.
Apart from helping buyers sort between different product types, listing categorization is also …

Product reviews play a key role in e-commerce platforms. Studies show that many users
read product reviews before purchase and trust them as much as personal …

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 …

Product descriptions play an important role in the e-commerce ecosystem. Yet, on leading e-
commerce websites product descriptions are often lacking or missing. In this work, we …

Online shopping has become a valuable modern convenience, but blind or low vision (BLV)
users still face significant challenges using it, because of: 1) inadequate image descriptions …