Mobile recommender systems: An overview of technologies and challenges

TL;DR

This paper provides an overview of mobile recommender systems, highlighting key technologies and challenges such as device constraints and contextual factors affecting information retrieval.

Contribution

It offers a comprehensive review of mobile recommender system technologies and discusses the unique challenges faced in mobile environments.

Findings

Identification of key factors like location, screen size, and processor speed affecting mobile recommendations

Discussion of technological approaches to address mobile-specific challenges

Highlighting open research challenges in mobile recommender systems

Abstract

The use of mobile devices in combination with the rapid growth of the internet has generated an information overload problem. Recommender systems is a necessity to decide which of the data are relevant to the user. However in mobile devices there are different factors who are crucial to information retrieval, such as the location, the screen size and the processor speed. This paper gives an overview of the technologies related to mobile recommender systems and a more detailed description of the challenged faced.