Method and system for intelligently recommending ordering dishes

Abstract

The invention relates to a method and a system for intelligently recommending ordering dishes. The method for intelligently recommending ordering the dishes comprises the following steps of: A, excavating attributes of all dishes to generate an association rule set, and calculating degree of confidence of each association rule of the association rule set; B, receiving a first dish, and storing the first dish into a database of ordered dishes; C, searching a matched attribute association rule set taking the attributes of the ordered dishes as an association rule antecedent and taking attribute of a dish X as an association rule consequent from the association rule set, and adding degree of confidence of each association rule in the acquired attribute association rule set together to acquire recommendation value of the dish X; D, sorting recommendation values, selecting N dishes serving as recommended dishes, and outputting the dishes; and E, judging whether the dishes input by a user are received, if so, storing the input dishes into the database of the ordered dishes, and continuing step C, otherwise, ending the recommendation. The system for intelligently recommending ordering the dishes comprises an association rule generating module, a dish receiving module, a recommendation value generating module, an output module and a judgment module. The method and the system can make the recommended dishes more scientific and reasonable.

Description

technical field [0001] The invention relates to the technical field of electronic ordering in the catering industry, in particular to an intelligent recommended ordering method and system. Background technique [0002] In the prior art, the electronic ordering method of the catering industry is to use the traditional shopping basket analysis method to carry out data mining on the transaction records of the catering industry. The data items of the database used for traditional market basket analysis are the names of the commodities themselves. [0003] Chinese invention patent application, whose application number is 200710046499.X, discloses a kind of "electronic ordering system with intelligent recommendation function", this electronic ordering system with intelligent recommendation function only simply uses the name of the dish as Data item is a traditional shopping basket analysis method. Although the dependence relationship between the dish names can provide some suppor...

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Problems solved by technology

[0003] Chinese invention patent application, whose application number is 200710046499.X, discloses a kind of "electronic ordering system with intelligent recommendation function", this electronic ordering system with intelligent recommendation function only simply uses the name of the dish as Data item is a traditional shopping basket analysis method. Although the dependence relationship between the dish names can provide some support for market decision-making, since this dependence relationship does not involve the dependence relationship between the intrinsic attributes of the product, What decision makers are often concerned with is what kind of attributes the dishes ordered by customers have. People who like dishes with this attribute may also like other dishes with what attributes. Therefore, the role of the traditional shopping basket analysis method is limited

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