In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …

Cold Start problems in recommender systems pose various challenges in the adoption and
use of recommender systems, especially for new item uptake and new user engagement …

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

Collaborative filtering is one of the most used approaches for providing recommendations in
various online environments. Even though collaborative recommendation methods have …

Recommender systems are currently successful solutions for facilitating access for online
users to the information that fits their preferences and needs in overloaded search spaces. In …

The health care support system is a special type of recommender systems that play an
important role in medical sciences nowadays. This kind of systems often provides the …

We focused on fuzzy clustering in distributed environments. A novel distributed picture fuzzy
clustering method was presented. It combined the ideas of the facilitator model and picture …

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

Neutrosophic set, proposed by Smarandache considers a truth membership function, an
indeterminacy membership function and a falsity membership function. Soft set, proposed by …

Fuzzy clustering especially fuzzy C C-means (FCM) is considered as a useful tool in the
processes of pattern recognition and knowledge discovery from a database; thus being …