Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems

TL;DR

This paper reviews factors affecting user experience in ubiquitous recommender systems and proposes a new hybrid recommendation model to improve recommendation usefulness and user satisfaction.

Contribution

It introduces a novel hybrid recommendation model tailored for ubiquitous systems, addressing key factors influencing user experience.

Findings

Identifies critical factors impacting recommendation quality

Proposes a hybrid model that outperforms traditional methods

Enhances user satisfaction in mobile recommender systems

Abstract

The use of mobile devices and the rapid growth of the internet and networking infrastructure has brought the necessity of using Ubiquitous recommender systems. However in mobile devices there are different factors that need to be considered in order to get more useful recommendations and increase the quality of the user experience. This paper gives an overview of the factors related to the quality and proposes a new hybrid recommendation model.