Study on Electronic Commerce Recommendation System by CBR and AIS
文献类型:会议论文
作者 | Chang CG(常春光)![]() ![]() |
出版日期 | 2008 |
会议名称 | 7th World Congress on Intelligent Control and Automation |
会议日期 | June 25-27, 2008 |
会议地点 | Chongqing, China |
关键词 | Artificial immune system cased-based reasoning electronic commerce recommendation system |
页码 | 2110-2114 |
中文摘要 | To 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. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | 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 |
会议录 | 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-4244-2113-8 |
WOS记录号 | WOS:000259965701175 |
源URL | [http://ir.sia.cn/handle/173321/8280] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
推荐引用方式 GB/T 7714 | Chang CG,Zhu YL,Guo HF,et al. Study on Electronic Commerce Recommendation System by CBR and AIS[C]. 见:7th World Congress on Intelligent Control and Automation. Chongqing, China. June 25-27, 2008. |
入库方式: OAI收割
来源:沈阳自动化研究所
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