计算机应用与软件2017，Vol.34Issue(6)：250-256,7.DOI:10.3969/j.issn.1000-386x.2017.06.045
基于变精度双论域粗糙集的个性化推荐方法
A PERSONALIZED RECOMMENDATION METHOD BASED ON VARIABLE PRECISION DUAL-UNIVERSE ROUGH SET
摘要
Abstract
Aiming at the problem of user uncertainty decision, a personalized recommendation method based on variable precision dual-universe rough set is proposed.First, a new knowledge base construction method is proposed based on the meaning of confidence, and implemented by SQL language.Based on this, a personalized recommendation model based on variable-precision dual-domain rough set is proposed, and the model is applied to the personalized recommendation of men''s shirts.Finally, the effectiveness of the personalized recommendation model based on variable precision dual-universe rough sets is illustrated by the comparative analysis of experimental results.关键词
变精度粗糙集/双论域/个性化推荐/关联规则/非确定性决策Key words
Variable precision rough set/Dual-universe/Personalized recommendation/Association rule/Uncertainty decision-making分类
信息技术与安全科学引用本文复制引用
林群,阎瑞霞..基于变精度双论域粗糙集的个性化推荐方法[J].计算机应用与软件,2017,34(6):250-256,7.基金项目
国家自然科学基金项目(71301100) （71301100）
上海市教委科研创新项目(14YZ140) （14YZ140）
上海市教委青年教师计划项目(ZZGJD12036) （ZZGJD12036）
上海市自然科学基金项目(16ZR1414000) （16ZR1414000）
上海工程技术大学研究生科研创新项目(15KY0354). （15KY0354）
