원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.10
2015.10
pp.159-168
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보