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 …

Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …

The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

In order to improve the tourist experience, recommender systems are used to offer
personalized information for online users. The hotel industry is a leading stakeholder in the …

Recommender systems are used to provide filtered information from a large amount of
elements. They provide personalized recommendations on products or services to users …

Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

The adoption of the Internet of Things (IoT) paradigm constitutes the basic building block to
progress towards unified ICT platforms for a variety of applications within the large …

Over the last decade, there has been a burgeoning of data due to social media, e-commerce
and overall digitisation of enterprises. The data is exploited to make informed choices …