Method for intelligently generating recommended menu

Abstract

The invention relates to a method for intelligently generating recommended menu. The method comprises the following steps: recognizing whether a client is a new client or old client by judging a client code and a client registration ID by a control terminal, directly providing a pre-recommended menu ordered according to preference for the old client, and acquiring a proximal menu by use of a similarity fitting method in combination with the client historic dishes-ordering behaviors in the control terminal through an initial dishes-ordering mode, regulating the pre-recommended menus under two modes according to a consuming ability adjusting method and a nutrition collation method, and finally generating a plurality of highest-ranked dishes to recommend to the corresponding client. The method disclosed by the invention is compatible with the convenience of completing the dishes-ordering of an intelligent communication device, so that the client not only can independently select the dishes, but also can give a suggestion through the data analysis and comparison; the consumption level and the nutrition allocation of the client are comprehensively considered, the method for intelligently generating recommended menu is environment-friendly, in favor of the physical and psychological health of the consumer, flexible, strong in randomness, and is more in favor of the own development of a merchant.

Description

technical field [0001] The present invention belongs to the technical field of data processing systems or methods specially suitable for administration, commerce, finance, management, supervision or forecasting purposes, and particularly relates to a method that can be used through online and offline collaborative operations, by matching similar customers and similar dishes. A method for intelligently generating recommended menus to achieve quick menu recommendations. Background technique [0002] At present, the ordering link in the catering industry mainly uses restaurants to print and distribute paper menus. Customers check the paper menus, and the waiters record the customer’s menus and then go to the cash register to order. The cost of changing menu dishes is high, and updated dishes cannot be displayed in time. Labor efficiency is low. At the same time, some restaurants have begun to use smart communication devices such as smart phones, pads and other electronic devic...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is that in the prior art, when using the smart communication device to complete the work of ordering, the customer can only check the dishes on the menu displayed based on the smart communication device one by one, and the dishes he ordered are not complete. As a result, the ordered dishes exceed the demand, excess nutrition, and beyond the acceptable range of consumption capacity, etc., resulting in waste, burdening the body or spirit of consumers themselves, and lack of flexibility and randomness, which is not humanized. There are also disadvantages in the development of the merchant itself, and then an optimized and intelligent method for generating recommended menus is provided