In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

Abstract Recommender Systems (RSs) have played an important role in online retailing
portals and customers' decision-making processes. Recommender systems that are based …

Multi-criteria decision making (MCDM) is a popular branch of decision making, where the
decision makers need to make a choice based on a number of decision criteria. This …

Recommender systems have been developed to assist decision making by recommending a
list of items to the end users. The multi-criteria recommender system (MCRS) is a special …

In an era where digital information is abundant, the role of recommender systems in
navigating this vast landscape has become increasingly vital. This study proposes a novel …

Modeling an effective aggregation function to improve the accuracy of recommendations
remains an issue in model-based multi-criteria collaborative filtering (MCCF). The total …

Recommender system suggests a top-N list from unseen items for its users through a
prediction or a ranking order process. From the recommendation perspective, the item's …

In recent years, recommender systems have become a crucial tool, assisting users in
discovering and engaging with valuable information and services. Multi-criteria …

Recommender system (RS) suggests relevant objects to generate personalized service and
minimize information overload issue. User-based collaborative filtering (UBCF) plays a …

In an era where the number of choices is overwhelming on the internet, it is crucial to filter,
prioritize and deliver relevant information to a user. A recommender system addresses this …