The construction of personalized Web page recommendation system in e-commerce

Author

Lian, Ruimei

Author_Institution

Comput. & Commun. Eng. Inst. Dept., Weifang Univ., Weifang, China

fYear

2011

fDate

27-29 June 2011

Firstpage

2687

Lastpage

2690

Abstract

Personalized recommendation in e-commerce means that when a user visits one website, the website will provide the user as personalized service as recommending online some pages that might be interesting for the user according to the user´s clustering features. This paper shows the structure of personalized recommendation system in e-commerce. It analyzes the collaborative filtering technology used in Web log mining, the process of Web page recommendation and the recommendation algorithm. For the recommendation algorithm, the paper takes two factors into consideration for online page recommendation, that is, page weight in the user clusters and user´s average evaluation on pages.

Keywords

Web sites; data mining; electronic commerce; information filtering; pattern clustering; recommender systems; Web log mining; Website; collaborative filtering technology; e-commerce; online page recommendation; personalized Web page recommendation system; personalized service; recommendation algorithm; user clustering feature; Clustering algorithms; Collaboration; Data mining; Filtering; Search engines; Web pages; Web servers; Web page; e-commerce; personalized recommendation process; recommendation algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974890

Filename

5974890