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Title:
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RECIPE RECOMMENDATION METHOD BASED ON USERS FOOD PREFERENCES |
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Author(s):
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Mayumi Ueda, Mari Takahata, Shinsuke Nakajima |
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ISBN:
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978-972-8939-46-5 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Recipe recommendation, users food preference, cooking and browsing history, user behavior mining |
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Type:
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Poster/Demonstration |
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First Page:
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591 |
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Last Page:
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594 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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There are many websites and researches that involve cooking recipe recommendation. However, these websites present cooking recipes on the basis of entry date, access frequency, or the recipes user ratings. Moreover the majority of the existing researches on cooking recipe recommendation focus on issues like ingredients in stock or nutritional balance. They do not reflect the users personal preferences. In this paper, we propose a recipe recommendation method that is based on the users food preferences. For extracting the users food preferences, we use his/her recipe browsing and cooking history. |
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