Analysis of the recommendation systems based on the tensor factorization techniques, experiments and the proposals
Translated title
Authors
Term
1. term
Education
Publication year
2011
Submitted on
2011-01-10
Pages
70
Abstract
We analyse the state-of-the-art recommendation systems based on the tensor factorization techniques. The comparison of these systems is provided, the possible problems and the drawbacks are identified. We developed the HOSVD recommendation system. Using the implemented recommender system the experiments are conducted and the results are reported. The majority of the identified problems are verified during the experiments. Moreover, we propose a number of the possible solutions and improvements to the problems. Finally, we describe the main goals of our work during the next semester.
Keywords
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