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Experimental Evaluation on Tensor Decomposition Methods

  • Panagiotis Symeonidis
  • Andreas Zioupos
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

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.

Keywords

Matrix decomposition Tensor decomposition 

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References

  1. 1.
    Cai, Y., Zhang, M., Luo, D., Ding, C., Chakravarthy, S.: Low-order tensor decompositions for social tagging recommendation. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining (WSDM’11), pp. 695–704. ACM (2011)Google Scholar
  2. 2.
    Herlocker, J., Konstan, J., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5–53 (2004)CrossRefGoogle Scholar
  3. 3.
    Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: search and ranking. In: The Semantic Web: Research and Applications, pp. 411–426 (2006)Google Scholar
  4. 4.
    Huang, Z., Chen, H., Zeng, D.: Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inf. Syst. 22(1), 116–142 (2004)CrossRefGoogle Scholar
  5. 5.
    De Lathauwer, L., De Moor, B., Vandewalle, J.: A multilinear singular value decomposition. SIAM J. Matrix Anal. Appl. 21(4), 1253–1278 (2000)MathSciNetCrossRefMATHGoogle Scholar
  6. 6.
    Rafailidis, D., Daras, P.: The tfc model: tensor factorization and tag clustering for item recommendation in social tagging systems. Trans. Syst. Man Cybern.—Part A: Syst. Humans (2012)Google Scholar
  7. 7.
    Symeonidis, P.: ClustHOSVD: Item recommendation by combining semantically enhanced tag clustering with tensor HOSVD. IEEE Trans. Syst. Man Cybern. (2015)Google Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  1. 1.Faculty of Computer ScienceFree University of Bozen-BolzanoBozen-BolzanoItaly
  2. 2.ThessalonikiGreece

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