Abstract
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.
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Sobecki, J., Babiak, E., Słanina, M. (2006). Application of Hybrid Recommendation in Web-Based Cooking Assistant. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_101
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DOI: https://doi.org/10.1007/11893011_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
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