Mobile recommender systems: Identifying the major concepts

TL;DR

This paper explores the key concepts and factors influencing mobile recommender systems, emphasizing their integration with web systems and future development directions to enhance personalized recommendations on mobile devices.

Contribution

It identifies the major concepts and links between web and mobile recommender systems, proposing future directions for more integrated mobile recommendation solutions.

Findings

Mobile recommender systems are crucial for personalized user experiences.

Links between web and mobile recommender systems can be strengthened.

Future research should focus on integration and improved recommendation accuracy.

Abstract

This paper identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload problem. Numerous applications such as e-Commerce, video platforms and social networks provide personalized recommendations to their users and this has improved the user experience and vendor revenues. The development of recommender systems has been focused mostly on the proposal of new algorithms that provide more accurate recommendations. However, the use of mobile devices and the rapid growth of the internet and networking infrastructure has brought the necessity of using mobile recommender systems. The links between web and mobile recommender systems are described along with how the recommendations in mobile environments can be improved. This work is focused on identifying the links between web and mobile recommender systems and to provide solid future directions that aim to lead in a more integrated mobile recommendation domain.