Research on Intelligent Recommendation Method and its Application on Internet Bookstore

Abstract:

As the current personalized recommendation systems of Internet bookstore are limited too much in function, this paper build a kind of Internet bookstore recommendation system based on “Strategic Data Mining”, which can provide personalized recommendations that they really want. It helps us to get the weight attribute of type of book by using AHP, the weight attributes spoken on behalf of its owner, and we add it in association rules. Then the method clusters the customer and type of book, and gives some strategies of personalized recommendation. Internet bookstore recommendation system is implemented with ASP.NET in this article. The experimental results indicate that the Internet bookstore recommendation system is feasible.

• Periodical: Advanced Materials Research (Volumes 121-122)
• Pages: 447-452
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.121-122.447
• Online since: June 2010
• Authors: Qing Zhang Chen, Yu Jie Pei, Yan Jin, Li Yan Zhang
• Keywords: Association Rule, Data Mining (DM), E-Commerce (EC), Intelligent Recommendation, Internet Bookstore

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