Abstract
The article outlines the issues of website quality assessment, reduction of website assessment criteria and factors that users employ in the assessment of websites. The research presents a selection procedure concerning significant choice criteria and revealing undisclosed user preferences based on the website quality assessment models. The formulated procedure utilizes feature selection methods derived from machine learning. Results concerning undisclosed preferences were verified through a comparison with those declared by website users.
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CITATION STYLE
Ziemba, P., Piwowarski, M., Jankowski, J., & Wątróbski, J. (2014). Method of criteria selection and weights calculation in the process of web projects evaluation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8733, 684–693. https://doi.org/10.1007/978-3-319-11289-3_69
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