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2016 | OriginalPaper | Chapter

Web Projects Evaluation Using the Method of Significant Website Assessment Criteria Detection

Authors : Paweł Ziemba, Jarosław Jankowski, Jarosław Wątróbski, Mateusz Piwowarski

Published in: Transactions on Computational Collective Intelligence XXII

Publisher: Springer Berlin Heidelberg

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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
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Footnotes
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Metadata
Title
Web Projects Evaluation Using the Method of Significant Website Assessment Criteria Detection
Authors
Paweł Ziemba
Jarosław Jankowski
Jarosław Wątróbski
Mateusz Piwowarski
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
Transactions on Computational Collective Intelligence XXII

Print ISBN: 978-3-662-49618-3

Electronic ISBN: 978-3-662-49619-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-49619-0_9

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