• Corpus ID: 88522747

Multi-rubric Models for Ordinal Spatial Data with Application to Online Ratings from Yelp

@article{Linero2017MultirubricMF,
  title={Multi-rubric Models for Ordinal Spatial Data with Application to Online Ratings from Yelp},
  author={Antonio R. Linero and Jonathan R. Bradley and Apurva A. Desai},
  journal={arXiv: Applications},
  year={2017}
}
Interest in online rating data has increased in recent years in which ordinal ratings of products or local businesses are provided by users of a website, such as Yelp or Amazon. One source of heterogeneity in ratings is that users apply different standards when supplying their ratings; even if two users benefit from a product the same amount, they may translate their benefit into ratings in different ways. In this article we propose an ordinal data model, which we refer to as a multi-rubric… 
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