Earticle

초록

영어

With analyzing usual collaborative filtering algorithm , a modified collaborative filtering algorithm which fuses with fashion attributes is researched .Firstly , using fuzzy mathematics processes fashion attributes, which include style , color , material , quality , brand , and seasonality , to produce fashion attributes function . Secondly, using fashion attributes function adjusts users appraising matrix parameters of collaborative filtering algorithm to improve fashion recommendation system performance. Lastly, to use experiment proves that performance of modified collaborative filtering algorithm is better than performance of usual filtering algorithm performance in personalized fashion recommendation system.

목차

Abstract
 1. Introduction
 2. Personalized Recommendation System Model Based on modified Collaborative Filtering Algorithm
 3. Usual Collaborative Filtering Recommendation Algorithm
 4. Collaborative Filtering Recom-mendation Algorithm based on Fashion Attributes
 5. Experiment Results and Analysis
  5.1. Data Sets and Evaluation Criterion
  5.2. Experiment Results and Analysis
 6. Conclusion
 Acknowledgments
 References

키워드

저자

• Hua Quanping [ Information Engineering Institute, Zhejiang Textile & Fashion College, Ningbo 315211, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605