计算机应用与软件Issue(5)：37-41,5.DOI:10.3969/j.issn.1000-386x.2014.05.009
基于商品分类的电子商务推荐系统设计
DESIGNING E-COMMERCE RECOMMENDATION SYSTEM BASED ON MERCHANDISE CATEGORY
摘要
Abstract
Virtual property of the network causes difficulties in creating trustable relationship and hence in trade decision.The customised recommendation system can deal with the subjective factors in trust evaluation processing and thus improve the accuracy of trade forecasting. In the paper we establish a fuzzy reputation management system based on the thought of collaborative filtering,which emphasises the processing and customised sharing of the first-hand data.On general node,a two-layer fuzzy reasoning logic is applied for adapting to the human thinking habit,and the trust evaluation is customised by the adjustment on reliability attribute of the nearest neighbour.Through super node we calculate and aggregate the global variables of the reputation value of merchandise categories and the recommendation power,and design the valued fuzzed function according to power-law distribution rule.In end of the paper we illustrate the feasibility of the system application through a given example.关键词
电子商务/协同过滤推荐/信誉系统/信任评估/模糊推理Key words
E-commerce/Collaborative filtering recommendation/Reputation system/Trust evaluation/Fuzzy reasoning分类
信息技术与安全科学引用本文复制引用
刘凤霞,孙家蓉..基于商品分类的电子商务推荐系统设计[J].计算机应用与软件,2014,(5):37-41,5.基金项目
国家自然科学基金项目（71272205）；上海市教育委员会科研创新项目（11 YS248）。 （）
