• Corpus ID: 2885948

Empirical Analysis of Predictive Algorithms for Collaborative Filtering

@article{Breese1998EmpiricalAO,
  title={Empirical Analysis of Predictive Algorithms for Collaborative Filtering},
  author={John S. Breese and David Heckerman and Carl Myers Kadie},
  journal={ArXiv},
  year={1998},
  volume={abs/1301.7363}
}
Collaborative filtering or recommender systems use a database about user preferences to predict additional topics or products a new user might like. [] Key Method We use two basic classes of evaluation metrics. The first characterizes accuracy over a set of individual predictions in terms of average absolute deviation. The second estimates the utility of a ranked list of suggested items. This metric uses an estimate of the probability that a user will see a recommendation in an ordered list. Experiments…

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