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 :
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