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基于协同过滤的大规模定制个性化推荐方法

刘畅 吴清烈

工业工程Issue(4):24-28,34,6.
工业工程Issue(4):24-28,34,6.DOI:10.3969/j.issn.1007-7375.2014.04.005

基于协同过滤的大规模定制个性化推荐方法

A Research on Mass Customization Personalized Recommendation Based on Collaborative Filtering

刘畅 1吴清烈1

作者信息

  • 1. 东南大学管理工程研究所,江苏南京211189
  • 折叠

摘要

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 .

关键词

大规模定制/协同过滤/个性化/推荐算法/决策支持

Key words

mass customization/collaborative filtering/personalized/recommendation algorithm/deci-sion support

分类

管理科学

引用本文复制引用

刘畅,吴清烈..基于协同过滤的大规模定制个性化推荐方法[J].工业工程,2014,(4):24-28,34,6.

基金项目

教育部人文社科规划资助项目 ()

工业工程

OACHSSCDCSTPCD

1007-7375

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