Title :
NetPersonal: A Recommender System to Personalize the Environment of Web User
Author :
Thakur, Bhawesh Kumar ; Abbas, Syed Qamar ; Trivedi, Ashish Kumar
Author_Institution :
S.C.E.R.T., U.P.T.U., Lucknow
Abstract :
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of the user´s navigational behavior (usage data). Web personalization domain has gained great momentum both in the research and the commercial area. In this paper, we present a web personalization system, NetPersonal, using clusters of web usage data. The system is inferred from the web server´s access logs by means of data and web mining techniques to extract the knowledge about user profiles. The extracted knowledge is deployed to the purpose of offering a personalized view of the Web services to users.
Keywords :
Web services; Web sites; data mining; information retrieval; user interfaces; NetPersonal; Web mining; Web personalization; Web services; Web site; data mining; knowledge acquisition; navigational behavior; recommender system; Data mining; Humans; Information analysis; Navigation; Pattern analysis; Performance analysis; Recommender systems; Service oriented architecture; Web mining; Web server; Personalization; Web Mining; Web Usage Mining;
Conference_Titel :
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location :
Patiala
Print_ISBN :
978-1-4244-2927-1
Electronic_ISBN :
978-1-4244-2928-8
DOI :
10.1109/IADCC.2009.4809098
