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» Impact of social influence in e-commerce decision making
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CHI
2009
ACM
13 years 11 months ago
Awareness, training and trust in interaction with adaptive spam filters
Even though adaptive (trainable) spam filters are a common example of systems that make (semi-)autonomous decisions on behalf of the user, trust in these filters has been underexp...
Henriette S. M. Cramer, Vanessa Evers, Maarten van...
IJCNN
2006
IEEE
13 years 11 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
14 years 5 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
ACMICEC
2006
ACM
142views ECommerce» more  ACMICEC 2006»
13 years 10 months ago
Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings
In electronic marketplaces populated by self-interested agents, buyer agents would benefit by modeling the reputation of seller agents, in order to make effective decisions abou...
Jie Zhang, Robin Cohen