DocumentCode
519627
Title
Notice of Retraction
A novel retrieval model of product information in E-commerce
Author
Huang Wei ; Chen Xin ; Zhang Liyi ; Liu Qihua ; Xiao Yun
Author_Institution
Sch. of Manage., Hubei Univ. of Technol., Wuhan, China
Volume
2
fYear
2010
fDate
21-24 May 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper constructed a novel retrieval model of product information in E-commerce. A prototype system for the product of books searching was built, which took an example of book E-commerce. The results revealed that the prototype system based on the retrieval model of product information we suggested had a higher recall ratio and accuracy ratio than the traditional retrieval system based on key words. Therefore, it can meet the developing needs to online purchasing.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper constructed a novel retrieval model of product information in E-commerce. A prototype system for the product of books searching was built, which took an example of book E-commerce. The results revealed that the prototype system based on the retrieval model of product information we suggested had a higher recall ratio and accuracy ratio than the traditional retrieval system based on key words. Therefore, it can meet the developing needs to online purchasing.
Keywords
electronic commerce; information retrieval; e-commerce; online purchasing; product information; retrieval model; Artificial intelligence; Books; Electronic commerce; Information analysis; Information filtering; Information management; Information retrieval; Prototypes; Search engines; Technology management; E-commerce; product information; retrieval model;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuha
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497404
Filename
5497404
Link To Document