Recommender systems have been applied in a wide range of domains such as e-
commerce, media, banking, and utilities. This kind of system provides personalized …

With the popularization of online education and the idea of learning anytime and anywhere,
more and more learners search and learn courses of various disciplines through online …

In recent years, the growth of the Internet has led to the emergence of recommender
systems, as embedded engines, in various domains. These engines are in a way helping …

The interest in the blockchain technology has been increasing since its inception and it has
been applied to many fields and sectors. The blockchain technology creates a decentralized …

In order to increase sales, companies try their best to develop relevant offers that anticipate
customer needs. One way to achieve this is by leveraging artificial intelligence algorithms …

Big data has become an essential part of the modern business landscape, creating a
significant need for machine learning and artificial intelligence technologies to extract …

Many industries, including e-commerce, media, finance, and utilities, have embraced
recommender systems. To maximize customer happiness, this type of technology uses a …

Many industries, including e-commerce, media, finance, and utilities, have embraced
recommender systems. To maximize customer happiness, this type of technology uses a …

Tavsiye sistemleri kullanıcının karar vermesini kolaylaştırmak amacıyla oluşturulan
yapılardır. Bu yapıda kullanıcının geçmiş etkinlikleri, benzer kullanıcılar veya benzer öğeler …

Nowadays, the increase in online transactions is pushing various areas to take an interest in
recommendation systems. These systems support customer decision-making by …