Effects of relevant contextual features in the performance of a restaurant recommender system

@inproceedings{VargasGovea2011EffectsOR,
  title={Effects of relevant contextual features in the performance of a restaurant recommender system},
  author={Blanca Vargas-Govea and Gabriel Gonz{\'a}lez-Serna},
  year={2011}
}
Contextual information in recommender systems aims to improve user satisfaction. Usually, it is assumed that the complete set of contextual features is significant. However, identifying relevant context variables is important as increasing their number may lead the system to dimensionality problems. In this paper, relevant contextual attributes are identified by using a simple feature selection approach. Once the features has been identified, it is shown their impact in different performance… CONTINUE READING
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