A study on multiattribute aggregation approaches to product recommendation

Authors:
Jing-Zhong Jin;Yoshiteru Nakamori;Andrzej P. Wierzbicki
Affiliations:
School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi City, Ishikawa, Japan;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi City, Ishikawa, Japan;Department of Advanced Information Technology, National Institute of Telecommunications, Szachowa, Warsaw, Poland
Venue:
Advances in Fuzzy Systems
Year:
2013

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Abstract

In today's increasingly competitive market, consumers usually have to face a huge number of products with different designs but having the same use. Therefore, an important problem for manufacturers is to attract consumers by special designs of the products. This paper aims at the improvement of a consumer-oriented approach in recommending products, and proposing a recommendation system for Japanese traditional crafts based on target-oriented fuzzy method and ontological engineering. Specifically, a target-oriented fuzzy method is used for measuring the fitness of a selected attribute to a certain object. Two aggregation models for dealing with a multiattribute evaluation and ranking are introduced; four ranking methods are also examined for getting a recommendation list. To test the aggregation models and the ranking methods, a recommendation system was developed and a comparison test was conducted.