Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …

Recommendation system (RS) is a technology that provides accurate recommendation for
users. In order to make the recommendation results more accurate and diverse, we …

As the application scenarios of recommendation algorithms are becoming increasingly
complex, the efficiency of traditional recommendation algorithm based on accuracy is no …

Traditional recommendation techniques in recommender systems mainly focus on improving
recommendation accuracy. However, personalized recommendation, which considers the …

Nowadays, the recommendation algorithm has been used in lots of information systems and
Internet applications. The recommendation algorithm can pick out the information that users …

Recommender systems have been widely applied to several domains and applications to
assist decision making by recommending items tailored to user preferences. One of the …

Most of the traditional Recommendation Systems (RSs) focus on recommending only the
popular items as they deal with a single objective precision/popularity. However, focusing on …

With the rapid development of the Internet, we have entered an era of information explosion.
In this kind of situation, recommender systems appear. It is meaningful that recommender …

As big-data-driven complex systems, commercial recommendation systems (RSs) have
been widely used in such companies as Amazon and Ebay. Their core aim is to maximize …

Recommender systems are of great significance for mining the data generated by the
Internet of Things (IoT) and are important for the intelligent IoT systems. The traditional …