摘要
为了在竞争日益激烈的市场中提高竞争力,达到个性化销售目的,创造更大品牌价值,提出一种基于农产品品牌社会责任的消费者智能消费推荐研究。实验利用离散函数及品牌认可度描述推荐结果,分析推荐结果指数,证明基于社会责任的智能推荐研究令消费者认可度更高,与文献方法比较推荐结果有更高的精确度,设计的推荐模型可实现农产品个性销售目的,令农产品有更大的发展空间。
In order to improve the competitiveness in the increasingly competitive market, achieve the purpose of personalized sales,and create greater brand value, this paper proposes a study of consumer intelligent consumption recommendation based on the brand social responsibility of agricultural products. The design of the recommendation model can achieve the purpose of personalized sales of agricultural products, and make agricultural products have more development space.
作者
施荣晓
SHI Rong-xiao(School of Business Administration,South China University of Technology,Guangzhou 510641 China)
出处
《自动化技术与应用》
2022年第1期167-170,181,共5页
Techniques of Automation and Applications
关键词
社会责任
后悔理论
智能消费推荐
数据挖掘
离散函数
social responsibility
regret theory
intelligent consumption recommendation
data mining
discrete function