Abstract
In this chapter, we will provide experimental results of tensor decomposition methods on real data sets in social tagging systems (STSs). We will discuss the criteria that we will set for testing all algorithms and the experimental protocol we will follow. Moreover, we will discuss the metrics that we will use (i.e., Precision, Recall, root-mean-square error, etc.). Our goal is to present the main factors that influence the effectiveness of algorithms.
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Symeonidis, P., Zioupos, A. (2016). Experimental Evaluation on Tensor Decomposition Methods. In: Matrix and Tensor Factorization Techniques for Recommender Systems. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-41357-0_7
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DOI: https://doi.org/10.1007/978-3-319-41357-0_7
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