A Research on Mass Customization Personalized Recommendation Based on Collaborative Filtering
Liu Chang
Wu Qing-lie
Abstract：In order to assist and guide customers ’ product customization decision , a collaborative filtering algorithm is introduced into product customization , making product configuration process in mass customi-zation systems more simple and convenient .Combined with the characteristics of mass customization , a new improved mass customization personalized recommendation algorithm is proposed .Then, an example of handset customization is used to simulate and analyze the specific process of recommendation algorithm . The final feasible recommendations of simulation experiment show that the improved algorithm is feasible and effective to solve the problem of personalized recommendation for mass customization .
Keywords：mass customizationcollaborative filteringpersonalizedrecommendation algorithmdeci-sion support
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 24-28,34 )