DocumentCode
2235242
Title
Notice of Retraction
Personal Recommender System Based on Case-Based Reasoning
Author
Jieli Sun ; Linru Li ; Rongmei Zhang
Author_Institution
Inf. & Technol. Coll., Hebei Univ. of Econ. & Bus., Shijiazhuang, China
fYear
2009
fDate
24-25 April 2009
Firstpage
178
Lastpage
181
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 studies the structure and principle of based-CBR personal recommender system according to the characteristics of the method of case-based reasoning (CBR) and the personal recommendation cases. And a lot of design thought and methods in the personal recommender system based on case-based reasoning are discussed. Finally, the composing and function of the major modules of the personal recommender system are analyzed.
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 studies the structure and principle of based-CBR personal recommender system according to the characteristics of the method of case-based reasoning (CBR) and the personal recommendation cases. And a lot of design thought and methods in the personal recommender system based on case-based reasoning are discussed. Finally, the composing and function of the major modules of the personal recommender system are analyzed.
Keywords
case-based reasoning; information retrieval; case-based reasoning; personal recommender system; Business communication; Design methodology; Educational institutions; Industrial economics; Information management; Information systems; Knowledge management; Paper technology; Recommender systems; Sun; Case-Based Reasoning; Personal Recommender System; Personalized service;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-3618-7
Type
conf
DOI
10.1109/IIS.2009.94
Filename
5116327
Link To Document