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Study on Electronic Commerce Recommendation System by CBR and AIS
Chang CG(常春光); Zhu YL(朱云龙); Guo HF(郭海峰); Zhou XM(周小明)
Department先进制造技术研究室
Conference Name7th World Congress on Intelligent Control and Automation
Conference DateJune 25-27, 2008
Conference PlaceChongqing, China
Author of SourceChongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
Source Publication2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
PublisherIEEE
Publication PlaceNEW YORK
2008
Pages2110-2114
Indexed ByEI ; CPCI(ISTP)
EI Accession number20083911599713
WOS IDWOS:000259965701175
Contribution Rank1
ISBN978-1-4244-2113-8
KeywordArtificial Immune System Cased-based Reasoning Electronic Commerce Recommendation System
AbstractTo improve the performance of electronic commerce recommendation system (ECRS), the system implement frame by case-based reasoning (CBR) and artificial immune system (AIS) is proposed. The inner mechanism of AIS is analyzed, in leaning subsystem of ECRS, the AIS implement cycles such as antigen identifying, initial antibody population generating, affinity calculating, clone selecting, population updating and so on are studied. The key techniques of CBR for reasoning subsystem of ECRS such as case representation, case retrieval, case adaptation and case maintenance are introduced. The ECRS is tested by history record information of some website, the result demonstrates that both the recommendation accuracy and reasoning response velocity are improved, the ECRS frame based on CBR and AIS is a potent one.
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8280
Collection工业信息学研究室_先进制造技术研究室
Affiliation1.Advanced Manufacturing Technology Laboratory, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, Liaoning Province, China
2.School of Management, Shenyang Jianzhu University, Shenyang, Liaoning Province, China
Recommended Citation
GB/T 7714
Chang CG,Zhu YL,Guo HF,et al. Study on Electronic Commerce Recommendation System by CBR and AIS[C]//Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn. NEW YORK:IEEE,2008:2110-2114.
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