Research on intelligent recommendation algorithm of e-commerce based on association rules

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Shen, Jiajie^1,2 ; Cheng, Xianyi^1,2

School of Computer Science and Technology, Nantong University, JiangSu Nantong

226019, China^1

Nantong Research Institute for Advanced Communication Technologies, JiangSu Nantong

226019, China^2

关键词: Apriori;    Online shopping;    R languages;    Recommendation algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012078/pdf
DOI  :  10.1088/1757-899X/242/1/012078

来源: IOP

【 摘 要 】

As the commodities of e-commerce are more and more rich, more and more consumers are willing to choose online shopping, because of these rich varieties of commodity information, customers will often appear aesthetic fatigue. Therefore, we need a recommendation algorithm according to the recent behavior of customers including browsing and consuming to predicate and intelligently recommend goods which the customers need, thus to improve the satisfaction of customers and to increase the profit of e-commerce. This paper first discusses recommendation algorithm, then improves Apriori. Finally, using R language realizes a recommendation algorithm of commodities. The result shows that this algorithm provides a certain decision-making role for customers to buy commodities.