In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Recommender system is an important component of many web services to help users locate
items that match their interests. Several studies showed that recommender systems are …

Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …

As one of the most successful approaches to building recommender systems, collaborative
filtering (CF) uses the known preferences of a group of users to make recommendations or …

Recommender systems are now popular both commercially and in the research community,
where many approaches have been suggested for providing recommendations. In many …

One of the potent personalization technologies powering the adaptive web is collaborative
filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

Recommender systems are now popular both commercially and in the research community,
where many approaches have been suggested for providing recommendations. In many …