Method for intelligently recommending menus and food and application
A technology for food and recipes, applied in the field of smart home appliances, can solve the problem of difficult to find recipes and ingredients
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Embodiment 1
[0037] Such as Figure 1-2 shown.
[0038] A method for intelligently recommending recipes and food, comprising the following steps:
[0039] 1) Build a preference database:
[0040] The server obtains the user's purchase data information and stores it in the preference database; the user's purchase data information includes the user id, the name of the food purchased by the user, and the number of purchases of each food;
[0041] 2) Build a recipe database:
[0042] Obtain recipe information and store it in the recipe database; the recipe information includes recipe name, ingredient name and recipe practice steps;
[0043] 3) Calculate adjacent users:
[0044] Through the preference database, get the user u x for item i y degree of preference u xy , u xy i.e. user u x for item i y The number of purchases; the m×n matrix is used to represent the user's preference for the item. The number of purchases of each food indicates the user's preference for the item. The hi...
Embodiment 2
[0060] The method for intelligently recommending recipes and food as described in Embodiment 1, the difference is that in the step 2), the establishment of the recipe database relies on web crawler technology to crawl recipe information on the Internet.
Embodiment 3
[0062]The method for intelligently recommending recipes and food as described in Embodiment 1, the difference is that in the step 2), the storage format of the recipe information is as follows: {'_id': recipe name, 'steps': recipe practice steps,' material': [M 1 ,M 2 ,...,M n ]}, where '_id' indicates the name of the recipe, 'steps' indicates the steps of the recipe, 'material' indicates the list of ingredients, M x (x=1,2,...,n) indicates the name of the ingredient; material=
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