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Knowledge-based Recommendation Systems with Lexicographical Approach to Multi-criteria Decision Making Open Access


Other title
personal evaluation tools
Type of item
Degree grantor
University of Alberta
Author or creator
Gumrah, Giray
Supervisor and department
Reformat, Marek (Electrical and Computer Engineering)
Examining committee member and department
Reformat, Marek (Electrical and Computer Engineering)
Musilek, Petr (Electrical and Computer Engineering)
Szymanski, Jozef (Civil and Environmental Engineering)
Department of Electrical and Computer Engineering

Date accepted
Graduation date
Master of Science
Degree level
Users find information on the web via evaluating alternatives based on a set of preferences, and selecting the most suitable ones. However, not all of these preferences are equally important; some of them are more significant than the others. If a given alternative does not satisfy high priority preferences, it is discarded without checking against low priority criteria. The lexicographic approach allows for mimicking user’s attitude that some criteria should be satisfied before other criteria are considered. The thesis describes two different versions of web Personal Evaluation Tool (PET) utilizing a novel approach for selecting the most suitable alternatives regarding information that fit user’s needs. In both versions, the approach follows the concept of lexicographical preferences and combines it with a simple mechanism of representing user’s criterion satisfaction levels. Additionally, the second version incorporates customer reviews. The performed experiments show that the proposed approach is consistent with human-like selection processes.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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