Robust multivariate autoregression for anomaly detection in dynamic product ratings

@inproceedings{Gnnemann2014RobustMA,
  title={Robust multivariate autoregression for anomaly detection in dynamic product ratings},
  author={Nikou G{\"u}nnemann and Stephan G{\"u}nnemann and Christos Faloutsos},
  booktitle={WWW},
  year={2014}
}
User provided rating data about products and services is one key feature of websites such as Amazon, TripAdvisor, or Yelp. Since these ratings are rather static but might change over time, a temporal analysis of rating distributions provides deeper insights into the evolution of a products' quality. Given a time-series of rating distributions, in this work, we answer the following questions: (1) How to detect the base behavior of users regarding a product's evaluation over time? (2) How to… CONTINUE READING
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