http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yuankun Ma (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Research and Application of Intelligent Recommendation System Based on Big Data Technology
Yongfeng Cui,Yuankun Ma,Zhongyuan Zhao 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8
With the rapid development of information technology and the Internet, people entered the era of information overload. Recommended system is an effective tool to solve the problem of information overload, it is based on the historical behavior of users and other records of interest to the user modeling, and then use the model to create user interest personalized recommendation, the interested user information, products. Online Intelligence is a new research direction, which integrates the latest achievements of artificial intelligence and information technology, greatly emphasizes on the Internet means intelligent application of data mining technology in the online intelligence research has a very important position. This paper presents a project-based collaborative filtering algorithm hierarchical similarity. Users to take advantage of some of the projects marked tags and project categories were automatically extended, to establish a hierarchy of all projects, and then use similar items tag hierarchy established between computing projects. Experimental results show that compared with traditional collaborative filtering algorithm, the ability of collaborative filtering algorithm based on similarity of item level can significantly improve the recommendation system to handle large data presented in this paper.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
