Application of Hybrid Recommendation in Web-Based Cooking Assistant

  • J. Sobecki
  • E. Babiak
  • M. Słanina
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


The application of hybrid recommendation enables to overcome disadvantages of all three basic approaches: demographic, content-based, and collaborative ones. In this paper we present application of web-based cooking information system that recommends cooking recipes for different users. This work is continuation of previous works on hybrid recommendation that introduces application of fuzzy inference for demographic stereotype reasoning, which is the main new contribution of this paper.


Membership Function Fuzzy Rule Recommender System Fuzzy Inference System User Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. Sobecki
    • 1
  • E. Babiak
    • 1
  • M. Słanina
    • 1
  1. 1.Institute of Applied InfoematicsWroclaw University of TechnologyWroclawPoland

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