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 …

Incorporating contextual information in recommender systems is an effective approach to
create more accurate and relevant recommendations. This review has been conducted to …

As the book publishing market changes from offline to online, readers tend to purchase
books while paying more attention to book covers and metadata rather than the actual book …

The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …

Large scale data and predictive analytics are the most challenging tasks in the field of
academic data mining. Academic libraries are a great source of information and knowledge …

The act of reading has benefits for individuals and societies, yet studies show that reading
declines, especially among the young. Recommender systems can help stop such decline …

Background We are living in an age where data is everywhere and grows up in a very
speedy way. Thanks to sensors, mobile phones and social networks, we can gather a hug …

As the concept and implementation of cutting-edge technologies like artificial intelligence
and machine learning has become relevant, academics, researchers and information …

Background Mobile phone and sensors have become very useful to understand and
analyze human lifestyle because of the huge amount of data they can collect every second …

Book recommender systems can help promote the practice of reading for pleasure, which
has been declining in recent years. One factor that influences reading preferences is writing …