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Information 2018, 9(12), 326; https://doi.org/10.3390/info9120326

Mobile Phone Recommender System Using Information Retrieval Technology by Integrating Fuzzy OWA and Gray Relational Analysis

1
Department of Commerce Automation and Management, National Pingtung University, 51 Min Sheng E. Road, Pingtung City, Pingtung County 90004, Taiwan
2
Department of Industrial Management & Institute of Industrial Engineering and Management, National Formosa University, Huwei, Yunlin 63201, Taiwan
3
Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Huwei, Yunlin 63201, Taiwan
*
Author to whom correspondence should be addressed.
Received: 20 November 2018 / Revised: 2 December 2018 / Accepted: 12 December 2018 / Published: 14 December 2018
(This article belongs to the Special Issue Modern Recommender Systems: Approaches, Challenges and Applications)
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Abstract

With the advancement and diversification of information retrieval technology, such technology has been widely applied in recent years in personalized information recommender systems (RSs) and e-commerce RSs in addition to data-mining applications, especially with respect to mobile phone purchases. By integrating the weights of fuzzy ordered weighted averaging (OWA) and gray relational analysis, this research calculated the recommended F1 indices of three weight calculation methods to be 20.5%, 14.36%, and 16.43% after an examination by 30 experimenters. According to the operational results attained by the 30 experimenters, the recommended products obtained by the fuzzy OWA and gray relational analysis calculation method covered the products recommended by the other two weight calculation methods with a higher recommendation effect. View Full-Text
Keywords: information recommender systems; fuzzy order weighted averaging; gray relational analysis information recommender systems; fuzzy order weighted averaging; gray relational analysis
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Wang, S.-T.; Li, M.-H. Mobile Phone Recommender System Using Information Retrieval Technology by Integrating Fuzzy OWA and Gray Relational Analysis. Information 2018, 9, 326.

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