In location-based social networks (LBSNs), extensive user check-in data incorporating user
preferences for location is collected through Internet of Things devices, including cell …

Friend recommendation system (FRS) is an essential part of any social network system. With
the popularity of social network sites, many FRSs have been proposed in the past few years …

This work studies how we can obtain feature-level ratings of the mobile products from the
customer reviews and review votes to influence decision-making, both for new customers …

Recommender system (RS) can produce personalized service to users by analyzing their
historical information. User-based collaborative filtering (UBCF) approach is widely utilized …

The type of information systems used to recommend items to the users are called
Recommendation systems. The concept of recommendations was seen among cavemen …

Along with the development of several emerging computing paradigms and information
communication technologies, it is said that cyber computing technology is playing an …

Recommendation system is a techniques, which provides users with information, which
he/she may be interested in or accessed in past. Traditional recommender techniques such …

In recent years, graph neural networks have played a very important role in graph data
analysis, and the application of graph convolutional networks (GCN) to recommender …

With the rapid growth of online shop** platforms, more and more customers intend to
share their shop** experience and product reviews on the Internet. Both large quantity …

The recommender system (RS) can help us extract valuable data from a huge amount of raw
information. User-based collaborative filtering (UBCF) is widely employed in practical RSs …