Framework for Prototyping and Evaluation of Recommendation Algorithms in Mobile Applications

Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 150)


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.


Augmented reality context-aware computing collaborative filtering 


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Information TechnologiesSs. Cyril and Methodius UniversitySkopjeMacedonia

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