By Topic

An architecture of a web recommender system using social network user profiles for e-commerce

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Damian Fijałkowski ; Wrocław University of Technology, ul. Wybrzeże Stanisława, Wyspiańskiego 27, 50-370 Wrocław, Poland ; Radosław Zatoka

In this paper we propose a concept of a web e-com-merce system that collects and uses, in the process of making recommendations, data obtained from social network profiles of its users. This architecture modeling approach was developed within the project of a mashup Web application that integrates with Facebook API. We describe which data could be obtained from Facebook, propose the way to store it and suggest how the information from user profile could improve the effectiveness of a e-commerce recommender system.

Published in:

Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on

Date of Conference:

18-21 Sept. 2011