• Corpus ID: 17365496

STEPS: Predicting place attributes via spatio-temporal analysis

  title={STEPS: Predicting place attributes via spatio-temporal analysis},
  author={Shuxin Nie and Abhimanyu Das and Evgeniy Gabrilovich and Wei-Lwun Lu and Boris Mazniker and Chris Schilling},
In recent years, a vast amount of research has been conducted on learning people's interests from their actions. Yet their collective actions also allow us to learn something about the world, in particular, infer attributes of places people visit or interact with. Imagine classifying whether a hotel has a gym or a swimming pool, or whether a restaurant has a romantic atmosphere without ever asking its patrons. Algorithms we present can do just that. Many web applications rely on knowing… 

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