Over the past few years, more and more consumers have come to read online reviews when
they shop online. To support consumers' purchase decisions, many scholars focus on …

Research about recommender systems emerges over the last decade and comprises
valuable services to increase different companies' revenue. While most existing …

This study presents a real-world collaborative filtering recommendation system implemented
in a large Korean fashion company that sells fashion products through both online and …

Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …

Automatic multimedia learning resources recommendation has become an increasingly
relevant problem: it allows students to discover new learning resources that match their …

Topic modelling is a powerful text mining tool that has been applied in many fields such as
software engineering, political and linguistic sciences. To evaluate the development of topic …

With the rapid development of Internet movie industry social-aware movie recommendation
systems (SMRs) have become a popular online web service that provide relevant movie …

The importance of recommendation systems for business applications has led to extensive
research efforts to improve the recommendations accuracy as well as to reduce the sparsity …

In the traditional content-based recommendation method, we usually use the movies users
watched before or rated to represent their profile. However, there are many movies that …

Discussion groups are one of the most important elements of collaborative learning which
utilize recommender systems to improve their performance in several aspects. This type of …