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2009 13th International Conference on Computer Supported Cooperative Work in Design
Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
ASCII Text
x 
 
Xin Sui, Suozhu Wang, Zhaowei Li, "Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System," International Conference on Computer Supported Cooperative Work in Design, pp. 233-237, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009.
 
 
BibTex
x
 
@article{ 10.1109/CSCWD.2009.4968064,
author = { Xin Sui and Suozhu Wang and Zhaowei Li},
title = {Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System},
journal ={International Conference on Computer Supported Cooperative Work in Design},
volume = {0},
year = {2009},
isbn = {978-1-4244-3534-0},
pages = {233-237},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSCWD.2009.4968064},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Computer Supported Cooperative Work in Design
TI - Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System
SN - 978-1-4244-3534-0
SP233
EP237
A1 - Xin Sui,
A1 - Suozhu Wang,
A1 - Zhaowei Li,
PY - 2009
VL - 0
JA - International Conference on Computer Supported Cooperative Work in Design
ER -
 
Xin Sui, College of Information Engineering, Capital Normal University, Beijing 100037, China
Suozhu Wang, College of Information Engineering, Capital Normal University, Beijing 100037, China
Zhaowei Li, College of Information Engineering, Capital Normal University, Beijing 100037, China
To overcome the disadvantages of the existing recommender system such as intelligence, adaptive, flexibility ability and the limitations of accuracy and efficiency for the results, the framework model of Integration with Semantic Web and Agent Personalized Recommendation System in e-commerce (SWAPRS) is designed based on Semantic Web and agent and web mining technology. The function module of SWAPRS is constructed to be an autonomy intelligent agent by means of agent technology in this architecture. The work flow of recommender system and function of module are discussed in this paper.
Citation:
Xin Sui, Suozhu Wang, Zhaowei Li, "Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System," cscwd, pp.233-237, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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