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 an integral part of online services due to their ability to
help users locate specific information in a sea of data. However, existing studies show that …

Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

E-commerce is becoming a major contributor to the worldwide economic system, owing to its
adaptability and ease of use for both customers and service providers. Recommender …

In e-commerce websites and related micro-blogs, users supply online reviews expressing
their preferences regarding various items. Such reviews are typically in the textual …

Collaborative filtering recommender systems (CFRSs) have already been proved effective to
cope with the information overload problem since they merged in the past two decades …

We consider three important challenges in conference peer review:(i) reviewers maliciously
attempting to get assigned to certain papers to provide positive reviews, possibly as part of …

Nowadays, due to the increasing amount of data, the use of recommender systems has
increased. Therefore, the quality of the recommendations for the users of these systems is …

Recommender systems are contributing a significant aspect in information filtering and
knowledge management systems. They provide explicit and reliable recommendations to …

Most of the available recommender systems focus on the accuracy of recommendations. As
a result, their recommendations are often popular and very close to user preferences, which …