Restaurant Recommendations Based on a Domain Model and Fuzzy Rules

  • Xochilt Ramírez-García
  • Mario García-Valdez
Part of the Studies in Computational Intelligence book series (SCI, volume 451)


This research proposes a hybrid recommender system for restaurants that uses fuzzy inference systems together with collaborative filtering and content-based techniques, considering the expert’s experience, the ratings given by similar users and restaurant model. Content-based technique seeks to alleviate the cold-start problem, which commonly arises in collaborative filtering. The goal is to help each user to find interesting restaurants in the city. To evaluate the recommender system a data set of 50 users and 60 restaurants was tested. Was used RMSE for obtain the accuracy in the recommendations.


Content-Based collaborative filtering fuzzy logic recommender systems 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xochilt Ramírez-García
    • 1
  • Mario García-Valdez
    • 1
  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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