@inproceedings{622fcfbe65cb4e8da26fa0fad0e15c11,
title = "Online discussion participation prediction using non-negative matrix factorization",
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 = "Collaborative filtering, Online forum, Participation prediction, WNMF",
author = "Fung, {Yik Hing} and Li, {Chun Hung} and CHEUNG, {Kwok Wai}",
note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 ; Conference date: 02-11-2007 Through 05-11-2007",
year = "2007",
month = nov,
doi = "10.1109/WIIATW.2007.4427590",
language = "English",
isbn = "0769530281",
series = "Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007",
publisher = "IEEE",
pages = "284--287",
booktitle = "Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007",
address = "United States",
}