Application of multi-criteria analysis based on individual psychological profile for recommender systems

• Autorzy: Rafalak M. , Granat J. , Wierzbicki A. P.

Identyfikatory

DOI

10.7494/csci.2016.17.4.503

• Języki publikacji: EN

Abstrakty

EN

This 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.

Słowa kluczowe

EN

recommender system; multi-criteria analysis; user profiling

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2016
• Tom: Vol. 17 (4)
• Strony: 503--517
• Opis fizyczny: Bibliogr. 27 poz., rys., wykr., tab.

Twórcy

autor

Rafalak M.

• Polish-Japanese Academy of Information Technology, Warsaw Koszykowa 86

autor

Granat J.

• National Institute of Telecomunications, Warsaw Szachowa 1

autor

Wierzbicki A. P.

• National Institute of Telecomunications, Warsaw Szachowa 1

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.