Title :
A Web Data Mining Framework for E-Commerce Recommender Systems
Author :
Sun, Jinhua ; Xie, Yanqi
Author_Institution :
Dept. of Comput. Sci. & Technol., Xiamen Univ. of Technol., Xiamen, China
Abstract :
In this paper, we introduce a web data mining solution to e-commerce to discover hidden patterns and business strategies from their customer and web data, propose a new framework based on data mining technology for building a Web-page recommender system, and demonstrate how data mining technology can be effectively applied in an ecommerce environment.
Keywords :
Internet; data mining; electronic commerce; recommender systems; Web data mining framework; Web page recommender system; data mining technology; discover hidden patterns; e-commerce recommender systems; new framework based; Association rules; Computer science; Data mining; Electronic commerce; Electronic mail; Information analysis; Mathematical model; Recommender systems; Sun; Web server;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363548
