BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery
(2005) BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery. In Proceedings International Semantic Web Conference (ISWC2005) Workshop on Semantic Network Analysis, Galway, Ireland.
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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 pro-duce 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 pro-files’ of these users in the form of scavenged Web pages.
| Keywords: | Social software, Ranking algorithms, Relation discovery, Instant messaging |
|---|---|
| Subjects: | AKT Challenges > Knowledge retrieval AKT Challenges > Knowledge acquisition |
| ID Code: | 490 |
| Deposited By: | Zhu, Dr. Jianhan |
| Deposited On: | 31 March 2006 |
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