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 …

Context-aware recommender systems dedicated to online social networks experienced
noticeable growth in the last few years. This has led to more research being done in this …

User experience design and subsequent usability evaluation can benefit from knowledge
about user interaction, types, deployment settings and situations. Most of the time, the user …

Artificial intelligence (AI) and machine learning (ML) have revolutionized the way health
organizations approach social media. The sheer volume of data generated through social …

Traditional recommendation approaches for the mobile Apps basically depend on the Apps
related features. Now a days many users are in quench of Apps recommendation based on …

Social media has evolved itself as a significant tool used by people for information spread
during emergencies like natural or man-made disasters. Real-time analysis of this huge …

With the ever‐increasing use of Internet and social networks that generate a vast amount of
information, there is a serious need for recommendation systems. In this article, we propose …

Exploitation and use of disruptive technologies, such as the Internet of Things, recommender
systems, and artificial intelligence, with an ambidextrous balance, are a challenge …

In recent years, many citizens use social media platforms like Twitter to share and get the
most up-to-date information regarding crisis events such as natural and man-made crisis …

Web recommender systems play a significant role in different domains, such as movies,
books, music, etc., and contributes to not only user satisfaction but also to e-business and e …