DocumentCode
472484
Title
Research on WEB Cache Prediction Recommend Mechanism Based on Usage Pattern
Author
Lin Jianhui ; Huang Tianshu ; Yang Chao
Author_Institution
Wuhan Univ., Wuhan
fYear
2008
fDate
23-24 Jan. 2008
Firstpage
473
Lastpage
476
Abstract
Cache prefetching technique can improve the hit ratio and expedite users visiting speed. After analyzed the recommend system in e-business, this paper studied the characteristics how user visit Web page and proposed a Web prefetching recommender system based on usage pattern. This system cluster user behavior through an improved ant colony algorithm, then usage pattern can be abstracted from these classes through sequence mining. These sequence patterns are applied to forecast the coming behavior of users thus improve the hit ratio of system. Experiment result proves the validity of the system.
Keywords
Internet; data mining; information filtering; storage management; Web cache prediction; Web page; Web prefetching recommender system; ant colony algorithm; cache prefetching; e-business; hit ratio; sequence mining; usage pattern; Chaos; Clustering algorithms; Data mining; Information technology; Pattern analysis; Prefetching; Probability; Recommender systems; Uniform resource locators; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location
Adelaide, SA
Print_ISBN
978-0-7695-3090-1
Type
conf
DOI
10.1109/WKDD.2008.9
Filename
4470441
Link To Document