DocumentCode
2851669
Title
Mining Web data to create online navigation recommendations
Author
Velásquez, Juan D. ; Bassi, Alejandro ; Yasuda, Hiroshi ; Aoki, Terumasa
Author_Institution
Res. Center for Adv. Sci. & Technol., Tokyo Univ., Japan
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
551
Lastpage
554
Abstract
A system to provide online navigation recommendation for Web visitors is introduced. We call visitor the anonymous user, i.e., when only data about her/his browsing behavior (Web logs) are available. We first apply clustering techniques over a large sample of Web data. Next, from the significant patterns that are discovered, a set of rules about how to use them is created. Finally, comparing the current Web visitor session with the patterns, online navigation recommendations are proposed using the mentioned rules. The system was tested using data from a real Web site, showing its effectiveness.
Keywords
Internet; data mining; information filters; Web data mining; Web logs; Web visitors; anonymous user; browsing behavior; clustering technique; online navigation recommendation; Data mining; Industrial engineering; Navigation; Online Communities/Technical Collaboration; Research initiatives; System testing; Web page design; Web pages; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2004. ICDM '04. Fourth IEEE International Conference on
Print_ISBN
0-7695-2142-8
Type
conf
DOI
10.1109/ICDM.2004.10019
Filename
1410358
Link To Document