It is increasingly common for analysts to seek out the opinions of individuals and
organizations using attitudinal scales such as degree of satisfaction or importance attached …

Collaborative filtering (CF) is an important and popular technology for recommender
systems. However, current CF methods suffer from such problems as data sparsity …

Recommender systems are firmly established as a standard technology for assisting users
with their choices; however, little attention has been paid to the application of the user model …

The proliferation of powerful smart devices is revolutionizing mobile computing systems. A
particular set of applications that is gaining wide interest is recommender systems …

Initially popularized by Amazon. com, recommendation technologies have become
widespread over the past several years. However, the types of recommendations available …

Recommender systems are used to find preferences of people or to predict the ratings with
the help of information available from other users. The most widely used collaborative …

This article describes an approach for incorporating externally specified aggregate ratings
information into certain types of recommender systems, including two types of collaborating …

Previous work on using external aggregate rating information showed that this information
can be incorporated in several different types of recommender systems and improves their …

Sharing information and resources on the Internet has become an important activity for
education. The use of ubiquitous devices makes it possible for learning participants to be …

From the last couple of decades, the web services on the Internet changed the perspectives
of the usage of a normal user as well as the vendor. Recommender systems are the …