Earticle

초록

영어

Recommendation technology is used to help people solve the problem of information overload. Recent years, it has been widely applied to the movie ratings, e-commerce and many other fields. Researchers have noticed its powerful application prospect. But with the exponential growth of information data, the recommendation systems also have to improve the ability of data processing and this leads to that the traditional collaborative filtering recommendation algorithms cannot meet the needs of the users. To solve the problem, we designed an algorithm based on the theory of statistical analysis. This algorithm classified the data simply firstly, and then system could give users the relatively satisfactory personalized recommendations by the statistical analysis of different attributes on the data sets.

목차

Abstract
 1. Introduction
 2. The Proposed Example
 3. The Traditional Recommendation Algorithms in the Recommendation System
  3.1. Collaborative Filtering Recommendation Algorithm
  3.2. Machine Learning Recommendation Algorithm
 4. The Recommend Algorithm Based on the Static Analyze of User Data
  4.1. Algorithm Analysis
  4.2. Steps of the Algorithm
 5. Experimental Results
 6. Possible Improvements
 7. Conclusions and Future Work
 References

키워드

저자

• Chunyong Yin [ Jiangsu Key Laboratory of Meteorological Observation and Information Processing, School of Computer and Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Hui Zhang [ Jiangsu Key Laboratory of Meteorological Observation and Information Processing, School of Computer and Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Jun Xiang [ Jiangsu Key Laboratory of Meteorological Observation and Information Processing, School of Computer and Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Zhichao Yin [ Nanjing No.1 Middle School, Nanjing, 210001, China ]
• Jin Wang [ Jiangsu Key Laboratory of Meteorological Observation and Information Processing, School of Computer and Software, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605