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

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.

[Retracted] Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm

“…Tang and other scholars designed an improved hybrid algorithm under the deep learning of information technology and applied it to the actual medical material distribution system, which effectively reduced the distribution cost, shortened the transportation route, and improved the optimization efficiency [6]. Wang and Li combined OWA with grey correlation analysis to propose a mobile information retrieval system with higher recommendation effect [7].…”

Editorial for the Special Issue on “Modern Recommender Systems: Approaches, Challenges and Applications”

“…In the paper "Mobile Phone Recommender System Using Information Retrieval Technology by Integrating Fuzzy OWA and Gray Relational Analysis" [5], the authors integrate the weights of fuzzy ordered weighted averaging (OWA) and gray relational analysis into the recommendation generation algorithm, managing to create more effective recommendations in the domain of mobile phone e-commerce.…”