loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fifth International Conference on Computer and Information Technology (CIT'05)
On a Hybrid Rule Based Recommender System
Shanghai, China
September 21-September 23
ISBN: 0-7695-2432-X
ASCII Text
x 
 
FENG ZHANG, HUI-YOU CHANG, "On a Hybrid Rule Based Recommender System," Computer and Information Technology, International Conference on, pp. 194-198, Fifth International Conference on Computer and Information Technology (CIT'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2005.147,
author = {FENG ZHANG and HUI-YOU CHANG},
title = {On a Hybrid Rule Based Recommender System},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2432-X},
pages = {194-198},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2005.147},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - On a Hybrid Rule Based Recommender System
SN - 0-7695-2432-X
SP194
EP198
A1 - FENG ZHANG,
A1 - HUI-YOU CHANG,
PY - 2005
KW - Association-rule Mining
KW - Sequential-rule Mining
KW - E-commerce
KW - Recommender System
KW - Algorithm
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
FENG ZHANG, Sun Yat-sen University
HUI-YOU CHANG, Sun Yat-sen University

Compared with relative recently-reported conterparts, a novel recommender system prototype is implemented. Its efforts focus on the three essential issues as a whole that recommender systems have to handle: data source, data modeling and recommendation strategy. It is based on a common data format and introduces a hybrid-rule model with a strategy of one-round table scanning. Laboratory experiment results show that this recommender system produces a better outcome.

Index Terms:
Association-rule Mining, Sequential-rule Mining,E-commerce, Recommender System, Algorithm
Citation:
FENG ZHANG, HUI-YOU CHANG, "On a Hybrid Rule Based Recommender System," cit, pp.194-198, Fifth International Conference on Computer and Information Technology (CIT'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.