Title :
Genetic based approach to improve E-Commerce web site usability
Author :
Mary, S. Prince ; Baburaj, E.
Author_Institution :
Dept. of Comput. Sci. & Eng., Sathyabama Univ., Chennai, India
Abstract :
Nowadays, an ever- growing use of the internet has been greatly affecting the significance of E-Commerce web sites. To assist clients in searching the products they need, recommendation systems are implemented in E-Commerce web sites. A recommendation system should also provide necessary information to clients about the products that they might be interested in. An algorithm is proposed here to make the E-Commerce websites more flexible and highly usable.
Keywords :
Web sites; data mining; electronic commerce; Internet; Web site usability; e-commerce Web site; electronic commerce; genetic based approach; Navigation; Servers; Genetic Algorithm; Informative Rule; Preprocessing; Recommendation Tree; Web Log;
Conference_Titel :
Advanced Computing (ICoAC), 2013 Fifth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3447-8
DOI :
10.1109/ICoAC.2013.6921983