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» Social Networks as Data Source for Recommendation Systems
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WWW
2009
ACM
16 years 13 days ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
CONCURRENCY
2008
99views more  CONCURRENCY 2008»
14 years 12 months ago
TRIBLER: a social-based peer-to-peer system
Most current P2P file sharing systems treat their users as anonymous, unrelated entities, and completely disregard any social relationships between them. However, social phenomena...
Johan A. Pouwelse, Pawel Garbacki, Jun Wang, Arno ...
GROUP
2005
ACM
15 years 5 months ago
Real-world oriented information sharing using social networks
While users disseminate various information in the open and widely distributed environment of the Semantic Web, determination of who shares access to particular information is at ...
Junichiro Mori, Tatsuhiko Sugiyama, Yutaka Matsuo
CSCW
2012
ACM
13 years 7 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
ICDE
1999
IEEE
117views Database» more  ICDE 1999»
16 years 1 months ago
Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth
InfoSleuth1is an agent-based system for information discovery and retrieval in a dynamic, open environment. This paper discusses InfoSleuth's multibroker design and implement...
Marian H. Nodine, William Bohrer, Anne H. H. Ngu