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» Maximizing product adoption in social networks
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RECSYS
2009
ACM
13 years 11 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
STOC
2012
ACM
256views Algorithms» more  STOC 2012»
11 years 7 months ago
Competitive contagion in networks
We develop a game-theoretic framework for the study of competition between firms who have budgets to “seed” the initial adoption of their products by consumers located in a s...
Sanjeev Goyal, Michael Kearns
SIGIR
2006
ACM
13 years 11 months ago
Personalized recommendation driven by information flow
We propose that the information access behavior of a group of people can be modeled as an information flow issue, in which people intentionally or unintentionally influence and in...
Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming...
AAAI
2010
13 years 6 months ago
The Genetic Algorithm as a General Diffusion Model for Social Networks
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Mayank Lahiri, Manuel Cebrián
SIGECOM
2009
ACM
137views ECommerce» more  SIGECOM 2009»
13 years 11 months ago
An exact almost optimal algorithm for target set selection in social networks
The Target Set Selection problem proposed by Kempe, Kleinberg, and Tardos, gives a nice clean combinatorial formulation for many problems arising in economy, sociology, and medicin...
Oren Ben-Zwi, Danny Hermelin, Daniel Lokshtanov, I...