Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …

With the current growth of the proposed contextual recommending algorithms, evaluating
them becomes more critical. Researchers of recommender systems have expressed …

Since the advent of scholarly recommender systems (SRSs), more than 200 papers in the
related area have been published. Many of these papers focus on proposing new and more …

Since the advent of Recommender Systems (RSs), many papers have been published with
the majority focusing on creating more accurate algorithms. The more accurate the algorithm …

Recommender systems have become very popular for reducing the information overload
users are often confronted with in today's web. Collaborative filtering is the method of choice …

Scholarly recommender systems attempt to reduce the number of research resources or
papers presented to scholars and predict the utility of resources for their scholarly tasks …

Scholarly recommender systems attempt to narrow down the number of research resources
and predict availability of unknown resources to assist scholars with their scholarly tasks …

Nowadays, the huge amount of information available may easily overwhelm users when
they need to take a decision that involves choosing among several options. As a solution to …