Corpus ID: 1726173

Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks

@article{Li2014InferringUP,
  title={Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks},
  author={J. Li and Alan Ritter and Dan Jurafsky},
  journal={ArXiv},
  year={2014},
  volume={abs/1411.2679}
}
We propose a framework for inferring the latent attitudes or preferences of users by performing probabilistic first-order logical reasoning over the social network graph. Our method answers questions about Twitter users like {\em Does this user like sushi?} or {\em Is this user a New York Knicks fan?} by building a probabilistic model that reasons over user attributes (the user's location or gender) and the social network (the user's friends and spouse), via inferences like homophily (I am more… Expand
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