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Tech Report kmi-05-13 Abstract


BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery
Techreport ID: kmi-05-13
Date: 2005
Author(s): Jianhan Zhu, Marc Eisenstadt, Alexandre Goncalves, Chris Denham
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Online social networking tools are extremely popular, but can miss potential discoveries latent in the social 'fabric'. Matchmaking services can do naive profile matching with old database technology, and modern ontological markup, though powerful, can be onerous at data-input time. In this paper, we present a system called BuddyFinder-CORDER which can automatically produce a ranked list of buddies to match a user's search requirements specified in a term-based query, even in the absence of stored user-profiles. We integrate an online social networking search tool called BuddyFinder with a text mining method called CORDER to rank a list of online users based on 'inferred profiles' of these users in the form of scavenged Web pages.

Publication(s):

To appear in Proc. of International Semantic Web Conference (ISWC2005) Workshop on Semantic Network Analysis, November 7, 2005, Galway, Ireland.
 
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Our New Media Systems research theme aims to show how new media devices, standards, architectures and concepts can change the nature of learning.

Our work involves the development of short life-cycle working prototypes of innovative technologies or concepts that we believe will influence the future of open learning within a 3-5 year timescale. Each new media concept is built into a working prototype of how the innovation may change a target community. The working prototypes are all available (in some form) from this website.

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