Title :
E-commerce personalized recommendation technology based on expert system
Author_Institution :
Guizhou Univ. of Finance & Econ., Guiyang, China
Abstract :
E-commerce personalized recommendation technology uses e-commerce website targeted to different customers with the purchase proposal. According to the network the purchase process, design expert system consultation subsystem, database subsystem and results of the subsystems, design the form of recommended rules and recommendations, using heuristic search to improve recommended rate.
Keywords :
Web sites; database management systems; electronic commerce; expert systems; recommender systems; database subsystem; e-commerce personalized recommendation technology; e-commerce website; expert system consultation subsystem; heuristic search; purchase process; purchase proposal; Proposals; E-commerce; Expert Diagnosis; Heuristic search; Personalized Recommendation expert system;
Conference_Titel :
Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-7607-7
Electronic_ISBN :
978-8-9886-7827-5
