APPLICATION OF MULTI-CRITERIA ANALYSIS BASED ON INDIVIDUAL PSYCHOLOGICAL PROFILE FOR RECOMMENDER SYSTEMS
Maria Rafalak , Janusz Granat , Andrzej Wierzbicki
AbstractThis paper presents a novel approach for user classification exploiting multi- criteria analysis. This method is based on measuring the distance between an observation and its respective Pareto front. The obtained results show that the combination of the standard KNN classification and the distance from Pareto fronts gives satisfactory classification accuracy – higher than the accuracy ob- tained for each of these methods applied separately. Conclusions from this study may be applied in recommender systems where the proposed method can be implemented as the part of the collaborative filtering algorithm.
|Journal series||Computer Science, [Computer Science], ISSN 1508-2806, e-ISSN 2300-7036|
|Publication size in sheets||0.3|
|Keywords in English||recommender systems, multi-criteria analysis, user profiling|
|Score|| = 12.0, 14-02-2020, ArticleFromJournal|
= 12.0, 14-02-2020, ArticleFromJournal
|Publication indicators||= 0|
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