An intelligent recommender derived from its characteristic case revision
Through the wide use of E-commerce, the acquisition of personalized need is key to effective recommender. From the view of knowledge acquiring, case intelligence is a comprehensive expression which is integrated representation of human sense, logics and creativity, and can acquire the users preferences from the former stored cases. As the E-commerce is under much complex conditions, this paper presents a personalized recommender based on case intelligence, which processes the same similar knowledge reasoning. Besides, compared with the most used collaborative filtering recommendation system, both the first user-based and the second item-based recommender, our system can be executing with the same similarity as their citing criteria. The article proposes a new reasoning structure integrated by various artificial intelligent technologies to acquire personalized knowledge. Finally, the case adaptation is described to explore the revision knowledge from huge cases through multi-channel accesses, which can guarantee the reliability and integrity of the adapting process.
intelligent recommender collaborative filtering case intelligence personalized revision knowledge
Yanhai Zhao Jianyang Li Xiuzheng Xie
Department of Management Engineering Anhui Communications Technical College Hefei, China Department of Computer Science Longyan University Longyan.China
国际会议
太原
英文
240-244
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）