面向C2B个性化定制的智能推荐算法研究  

A Research on C2B E-commerce Intelligent Recommendation for Personalized Customization

作　　者：马婧[1] 吴清烈[1] MA Jing;WU Qinglie(School of Economic and Management,Southeast University,Nanjing 211189,China)

机构地区：[1]东南大学经济管理学院,江苏南京211189

出　　处：《工业工程》2018年第5期87-92,共6页Industrial Engineering Journal

摘　　要：发展C2B(消费者到企业)个性化定制是制造企业转型升级的重要方式之一,但当前企业个性化定制水平低,用户参与定制的流程中并未引入智能推荐以辅助其进行定制。为了更好地对用户的产品定制和决策进行引导,使用户可以准确描述自身需求,提高定制效率,在产品的个性化定制中,引入了智能推荐的思想,在原有基于物品的协同过滤推荐算法的基础上进行改进,提出了适用于C2B个性化定制的分步式智能推荐算法,并引入一汽车定制案例。对算法的运算及生成推荐结果的过程进行模拟,证明了该算法的有效性和实用性。C2B（customer to business） customization is one of the important directions for the transformation and upgrading of manufacturing enterprises. However, the current development of personalized customization is weak, and intelligent recommendation isn＇t introduced in the process to assist the user in customization. In order to guide the user＇s product customization and decision making, enabling him to accurately describe his own needs and improve the customization efficiency, an intelligent recommendation algorithm is introduced in the personalized customization. Based on the original article-based collaborative filtering recommendation algorithm, a step-by-step intelligent recommendation algorithm suitable for C2B personalized customization is proposed. A car customization case is introduced to simulate and calculate the algorittnn and generate the recommended results, which proves the effectiveness and practicability of the algorithm.

关 键 词：C2B个性化定制 智能推荐 协同过滤 决策支持 

分 类 号：F713.36[经济管理—产业经济]