The Research on an Adaptive Information Grid Architecture for Recommendation System
This paper presents an adaptive information grid architecture for recommendation systems, which consists of the features of the recommendation rule and a co-citation algorithm. The algorithm addresses some challenges that are essential for further searching and recommendation algorithms. It does not require users to provide a lot of interactive communication. Furthermore, it supports other queries, such as keyword, URL and document investigations. When the structure is compared to other algorithms, the scalability is noticeably better. The high online performance can be obtained as well as the repository computation, which can achieve a high group-forming accuracy using onfy a fraction of web pages from a cluster.
Xiao-gao YU Xiao-peng YU
Wuhan University of Technology Wuhan, Hubei, 430073, P.R.China;Hubei University of Economics Wuhan, Wuhan Institute of Technology Wuhan, Hubei, 430073, P.R.China
国际会议
2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)
广州
英文
560-565
2006-12-12（万方平台首次上网日期，不代表论文的发表时间）