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Mining Web Data to Create Online Navigation Recommendations
Brighton, United Kingdom November 01-November 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10019Fourth IEEE International Conference ...
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Juan D. Vel?squez, Alejandro Bassi, Hiroshi Yasuda, Terumasa Aoki, "Mining Web Data to Create Online Navigation Recommendations," Data Mining, IEEE International Conference on, pp. 551-554, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICDM.2004.10019,
author = {Juan D. Vel?squez and Alejandro Bassi and Hiroshi Yasuda and Terumasa Aoki},
title = {Mining Web Data to Create Online Navigation Recommendations},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2142-8},
pages = {551-554},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10019},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Mining Web Data to Create Online Navigation Recommendations
SN - 0-7695-2142-8
SP551
EP554
A1 - Juan D. Vel?squez,
A1 - Alejandro Bassi,
A1 - Hiroshi Yasuda,
A1 - Terumasa Aoki,
PY - 2004
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Juan D. Vel?squez, University of Tokyo, Japan; University of Chile
Alejandro Bassi, University of Tokyo, Japan; University of Chile
Hiroshi Yasuda, University of Tokyo, Japan
Terumasa Aoki, University of Tokyo, Japan
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.
Citation:
Juan D. Vel?squez, Alejandro Bassi, Hiroshi Yasuda, Terumasa Aoki, "Mining Web Data to Create Online Navigation Recommendations," icdm, pp.551-554, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004
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