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.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Vangelovski, V., Gievska, S. (2012). Framework for Prototyping and Evaluation of Recommendation Algorithms in Mobile Applications. In: Kocarev, L. (eds) ICT Innovations 2011. ICT Innovations 2011. Advances in Intelligent and Soft Computing, vol 150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28664-3_14
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DOI: https://doi.org/10.1007/978-3-642-28664-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28663-6
Online ISBN: 978-3-642-28664-3
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