Extant studies have focused on the sales benefits of product recommendation networks;
however, the competition effects of such networks have been overlooked. Understanding the …

Incentive-based integrated demand response (IDR) has been recognized as a powerful tool
to mitigate supply-demand imbalance in integrated energy systems with high penetration of …

This paper investigates the impact of a recommendation system (RS) on various consumers
of a kitchen-sharing platform as regards process efficiency and consumer satisfaction. RS …

Purpose Recommender systems (RS) are designed to communicate with users and drive
consumers' engagement with the platform. However, little is known about the strength of this …

The online commodity recommendation (OCR) model mines users' historical behavior
characteristics and recommends products that may be of interest according to user …

This study develops a power‐average‐operator‐based hybrid multiattribute online product
recommendation model that considers the consumer's risk attitude to rank categoric product …

Driven by the rapid development of global e-commerce, recommender systems have
become a hot topic across both industry and academia because they offer a potential source …

Online retailers often display product recommendations using recommendation framing or
signage. Recommendation framing—such as customers who viewed this also viewed or …

Currently, artificial intelligence (AI) recommendations are widely used to alleviate the
phenomenon of information overload, and how to enhance the effectiveness of AI …

Heterogeneous information networks (HINs) refer to logical networks involving entities of
multiple types and their multiple relations, which are widely used for modeling real-world …