DocumentCode :
530361
Title :
A personalized recommendation system based on case intelligence
Author :
Li, Jianyang ; Li, Rui ; Zheng, Jinbin ; Zeng, Zhihong
Author_Institution :
Dept. of Inf. Eng., Anhui Commun. Tech. Coll., Hefei, China
Volume :
1
fYear :
2010
fDate :
17-19 Sept. 2010
Abstract :
The acquisition of personalized need is key to effective recommendation. Case intelligence is a comprehensive expression which is integrated representation of human sense, logics and creativity. Through the former cases we can acquire users´ preferences which are implicit in case-base, the process of recommendation is easy to understand and accept. As E-commerce is in complex environment, cases are regarded as the foundation for knowledge representation in case intelligent system and may be represented in semi-structured or unstructured model, or even in natural language texts. This paper presents a personalized recommendation system based on case intelligence. The system has good flexibility, uses modular components to integrate various artificial intelligence technologies, which is convenient to acquire revision knowledge from huge cases from multi-channels. At last, this article proposes how to explore the revision knowledge and characteristic adaptation methods, so we can improve the quality of recommendation and “support” the users effectively.
Keywords :
electronic commerce; knowledge representation; natural language processing; recommender systems; text analysis; user interfaces; case intelligence; e-commerce; knowledge representation; natural language text; personalized recommendation system; users preference; Lead; Motion pictures; case intelligence; personalized knowledge; revision knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
Type :
conf
DOI :
10.1109/ICEIT.2010.5607776
Filename :
5607776
Link To Document :
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