원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.7
2016.07
pp.135-146
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Related Research
2.1. Theoretical Study of Consumer Behavior
2.2. Consumption Recommended System
3. The Proposed Scheme
3.1 E-Commerce Personalized Recommender Service Mode
3.2. E-Commerce Consumer Behavior of Large Data Algorithm
4. Experimental Results and Analysis.
5. Conclusion
References
1. Introduction
2. Related Research
2.1. Theoretical Study of Consumer Behavior
2.2. Consumption Recommended System
3. The Proposed Scheme
3.1 E-Commerce Personalized Recommender Service Mode
3.2. E-Commerce Consumer Behavior of Large Data Algorithm
4. Experimental Results and Analysis.
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보