Recipe Recommendation Method by Considering the User's Preference and Ingredient Quantity of Target Recipe

There are many websites and researches that invoke cooking recipe recommendation. However, these websites present cooking recipes on the basis of entry date, access frequency, or the recipe's user ratings. They do not reflect the user's personal preferences. We have proposed a recipe recommendation method that is based on the user's food preferences. For extracting the user's food preferences, we use his/her recipe browsing and cooking history. In our previous work, we consider only existence of non-existence of each ingredient in the cooking recipe for extracting the preferences. In order to reflect the truly user's preferences, we propose a scoring method of cooking recipes based on user's food preferences and the quantity of the ingredient in a recipe.