Abstract
This paper presents the results of an initial study on how a set of multi-attribute utility collaborative filtering algorithms are expected to perform, under various experimental conditions. An online simulator has been used to produce a large number of synthetic data sets with varying properties. Then, the examined algorithms have been executed and evaluated upon all data sets, using different performance metrics. A statistical analysis of the results has followed, trying to make initial conclusions about the expected performance of the studied algorithms under different operational conditions.
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© 2008 Springer-Verlag Berlin Heidelberg
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Manouselis, N., Costopoulou, C. (2008). Preliminary Study of the Expected Performance of MAUT Collaborative Filtering Algorithms. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_67
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DOI: https://doi.org/10.1007/978-3-540-87783-7_67
Publisher Name: Springer, Berlin, Heidelberg
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