Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Online discussion participation prediction using non-negative matrix factorization

Language

English

Abstract

This paper studies the online discussion participation prediction (OFPP). Online discussion is an application on the Web that provides a cyberspace for users to exchange or share different information. Finding suitable online discussions on Internet becomes difficult as huge amount of information existed. This led to recommendation systems that provide advices to users. In this paper, a weighted non-negative matrix factorization method is used to discover latent user preferences of online discussions such that prediction of user's participation can be obtained. Experimental results show that with the prediction of user's preferences, suitable online discussions can be suggested to the user.

Keywords

Motion pictures, Online Communities/Technical Collaboration, Frequency, Intelligent agent, Internet, Information filtering, Information filters, Social network services, Conferences, Computer science, WNMFonline forumparticipation

Publication Date

11-2007

Source Publication Title

Proceedings of the IEEE/WIC/ACM International Conferences on Intelligent Agent Technology: WI-IAT Workshops 2007) : 2-5 November, 2007, Silicon Valley, USA

Start Page

284

End Page

287

Conference Location

Silicon Valley, United States

Publisher

IEEE

Peer Reviewed

1

Copyright

Copyright © 2007 by The Institute of Electrical and Electronics Engineers, Inc.

DOI

10.1109/WI-IATW.2007.116

Link to Publisher's Edition

http://dx.doi.org/10.1109/WI-IATW.2007.116

ISBN (print)

9780769530284

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