This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

Recommender systems have become essential in modern information systems and Internet
applications by delivering personalized and pertinent content to users. While conventional …

As an emerging digital servitization paradigm, smart product-service system (Smart PSS)
leverages smart, connected products and their generated services to work as a solution …

Smart product-service system (Smart PSS) is a heterogeneous and integrated system in
which manufacturers/service providers deliver integrated and customized product-service …

Hypergraphs, a generalization of graphs, naturally represent groupwise relationships
among multiple individuals or objects, which are common in many application areas …

Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

Recommender systems are typically designed to fulfill end user needs. However, in some
domains the users are not the only stakeholders in the system. For instance, in a news …

The completeness of features provided by each E-Commerce is one of the criteria for buyers
in determining where to make transactions. One of the features that attract the attention of …

A good personalized product search (PPS) system should not only focus on retrieving
relevant products, but also consider user personalized preference. Recent work on PPS …

With the increasing of online shopping services, fashion recommendation plays an important
role in daily online shopping scenes. A lot of recommender systems have been developed …