Nowadays, several location-based services (LBSs) allow their users to take advantage of
information from the Web about points of interest (POIs) such as cultural events or …

Recommender systems are one of the recent inventions to deal with ever growing
information overload in relation to the selection of goods and services in a global economy …

The overwhelming amount of information available today makes it difficult for users to find
useful information and as the solution to this information glut problem, recommendation …

Collaborative tagging systems allow users to describe and organize items using labels in a
free-shared vocabulary (tags), improving their browsing experience in large collections of …

Recently social tagging systems are increasingly becoming popular. These systems allow
users to manage, organize and search their required resources. Most of the available …

Abstract Social Information Retrieval (SIR) has extended the classical information retrieval
models and systems to take into account social information of the user within his social …

In recent years, recommender systems have been widely used for a variety of different kinds
of items such as books, movies, and music. However, current recommendation approaches …

This paper propose a framework Knowledge advantage machine (KAM) to help in
organizing individually discovered knowledge drawn from a narrowly bounded domain into …

Konstan, Joseph A., and John Riedl, in their 2012 User Modeling and User Adapted
Interaction article “Recommender systems: from algorithms to user experience” identify …

This paper describes our solution to the problem of inducing ontological information from
metadata provided informally. The metadata is in the form of linguistic tags attached to items …