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» Leveraging Rating Behavior to Predict Negative Social Ties
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ASUNAM
2015
IEEE
3 years 6 months ago
Leveraging Rating Behavior to Predict Negative Social Ties
—User social networks are a useful information for many information access related tasks, such as recommendation or information retrieval. In such tasks, recent papers have explo...
Luc-Aurélien Gauthier, Benjamin Piwowarski,...
HICSS
2016
IEEE
54views Biometrics» more  HICSS 2016»
3 years 7 months ago
Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties
By asking users of career-oriented social networking sites I investigated their job search behavior. For further IS-theorizing I integrated the number of a user’s contacts as an...
Ricardo Buettner
WWW
2007
ACM
9 years 11 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
WWW
2011
ACM
8 years 6 months ago
Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success
Online peer-to-peer (P2P) lending services are a new type of social platform that enables individuals borrow and lend money directly from one to another. In this paper, we study t...
Simla Ceyhan, Xiaolin Shi, Jure Leskovec
CIKM
2010
Springer
8 years 9 months ago
Predicting product adoption in large-scale social networks
Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adopti...
Rushi Bhatt, Vineet Chaoji, Rajesh Parekh
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