Abstract
The research presented in the article consists of an examination of the applicability of feature selection methods in the task of selecting website assessment criteria, to which weights are assigned. The applicability of the chosen methods was examined against the approach in which the weightings of website assessment criteria are defined by users. The research shows a selection procedure concerning significant choice criteria and reveals undisclosed user preferences based on the website quality assessment models. Results concerning undisclosed preferences were verified through a comparison with those declared by website users.
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Appendix 1
Appendix 1
Rankings criteria obtained using feature selection procedures
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Ziemba, P., Jankowski, J., Wątróbski, J., Piwowarski, M. (2016). Web Projects Evaluation Using the Method of Significant Website Assessment Criteria Detection. In: Nguyen, N.T., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXII. Lecture Notes in Computer Science(), vol 9655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49619-0_9
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