Framework for Prototyping and Evaluation of Recommendation Algorithms in Mobile Applications

Springer papers

Authors

Vasil Vangelovski and Sonja Gievska

Abstract

This paper describes a framework for prototyping and evaluation of techniques by which, machine learning can be brought into the realm of mobile augmented reality and location aware applications in general. Two realistic scenarios will be presented and considerations for the inclusion of particular recommendation techniques will be discussed. The results of our exploratory evaluation have pointed out that the framework could be used in evaluating similar adaptable augmented reality systems and location aware mobile applications using it as a building block for future exploration.

Keywords

Augmented reality context-aware computing collaborative filtering