This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

Over the past two decades, a large amount of research effort has been devoted to
develo** algorithms that generate recommendations. The resulting research progress has …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

With the rapid evolution of the Internet and the exponential proliferation of information, users
encounter information overload and the conundrum of choice. Personalized …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …

Tagging systems have become major infrastructures on the Web. They allow users to create
tags that annotate and categorize content and share them with other users, very helpful in …

Web systems that provide the same functionality usually share a certain amount of items.
This makes it possible to combine data from different websites to improve recommendation …

Recommendation systems are an important and undeniable part of modern systems and
applications. Recommending items and users to the users that are likely to buy or interact …