NDLI: Online Discussion Participation Prediction Using Non-negative Matrix Factorization

Content Provider	IEEE Xplore Digital Library
Author	Yik-Hing Fung Chun-Hung Li Cheung, W.K.
Copyright Year	2007
Description	Author affiliation: Hong Kong Baptist Univ., Hong kong (Yik-Hing Fung; Chun-Hung Li; Cheung, W.K.)
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.
Starting Page	284
Ending Page	287
File Size	424023
Page Count	4
File Format	PDF
ISBN	0769530281
DOI	10.1109/WI-IATW.2007.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science WNMFonline forumparticipation Social network services Conferences Motion pictures Frequency Information filters Internet Information filtering Online Communities/Technical Collaboration Intelligent agent
Content Type	Text
Resource Type	Article

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