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

fYear

2009

fDate

6-7 March 2009

Firstpage

702

Lastpage

705

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IADCC.2009.4809098

Filename

4809098