Cart (Loading....) | Create Account
Close category search window

Personalized Information Recommendation Based on MPF Users Clustering in Network Virtual Environments

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
$31 $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

4 Author(s)
Chen Ming-zhi ; Coll. of Math & Comput. Sci., Fuzhou Univ., Fuzhou, China ; Chen Jian ; Xu Chun-yao ; Yu Lun

As the uneasy sense of three-dimensional space and non-intuitiveness of resources information, it is difficult for users to find interesting or valuable information in network virtual environments. Therefore, a new personalized information recommendation algorithm based on MPF users clustering would be proposed in this paper. The MPF, namely Fuzzy C-Means (FCM) clustering based on Multi-Objects Particle Swarm Optimization (MOPSO), combines the respective advantages of PSO and FCM, which could prevent from those defects, for FCM to be susceptible to initial value and noisy data, and PSO to be easily falling into local optimum and so on. In order to improve clustering effect, we design the particle fitness function based on dual-objectives (intra-class distance and inter-class distance) in PSO. Finally, the standard data set and simulation data set are applied to test the personalized information recommendation algorithm based on MPF users clustering. The experimental result shows that this algorithm was of good performances.

Published in:

Multimedia Information Networking and Security (MINES), 2011 Third International Conference on

Date of Conference:

4-6 Nov. 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.