包邮智能服装推荐系统

Geneal Intoduction Chapte 1 E-commece fo Fashion Poducts 1.1 E-commece and Recommendation Systems 1.2 Fashion Poducts and Fashion Makets 1.2.1 The maketing of fashion 1.2.2 Tageting a maket 1.2.3 Custome pofiles 1.2.4 Seasonal and occasion makets 1.2.5 Fashion poducts 1.3 Fashion Consume Behavio 1.3.1 Cultual facto 1.3.2 Social facto 1.3.3 Individual facto 1.3.4 Psychological facto 1.4 Main Ideas 1.4.1 Successful Cases Data ase Module 1.4.2 Maket Foecasting Module 1.4.3 Knowledge-ased Recommendation Module 1.4.4 Knowledge Updating Module 1.5 Oiginality Chapte 2 Fashion Data Acquisition fom Social Netwoks and Design of Sensoy Expeiments 2.1 Social Netwoks 2.2 Sensoy Evaluation 2.2.1 Definition and industial application 2.2.2 Basic notions a out sensoy evaluation 2.3 Design of Expeiments 2.3.1 Peliminay knowledge 2.3.2 Expeiments 2.4 Conclusions Chapte 3 Concened Computational Tools 3.1 Knowledge and Its Featues 3.2 Fuzzy Sets and Fuzzy Opeations 3.2.1 Fuzzy sets theoy 3.2.2 Standad opeations of fuzzy sets 3.2.3 Popeties of fuzzy sets 3.2.4 Opeations on fuzzy elations 3.2.5 Tiangula fuzzy nume 3.2.6 Similaity degee of fuzzy sets 3.3 FCEM and Fuzzy AHP 3.3.1 FCEM 3.3.2 Fuzzy AHP 3.4 Complex Netwoks 3.4.1 Scale-fee netwoks 3.4.2 Small-wold netwoks 3.5 Makov Chain 3.6 Case-ased Reasoning 3.7 Oganization of the Computational Techniques Chapte 4 Successful Cases Data ase Module and Maket Foecasting Module 4.1 Mathematical Fomalization 4.2 Consume Pofile