Dish recommendation system based on data mining and cloud computing service

A data mining and cloud computing technology, applied in computing, data processing applications, electronic digital data processing, etc., can solve problems such as blindness in dish recommendation, and achieve the effect of improving dining experience and accuracy

Inactive Publication Date: 2013-11-27
BEIJING 58 INFORMATION TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, there is a need for a dish recommendation system and method that can utilize data mining technology, which can ef

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  • Dish recommendation system based on data mining and cloud computing service
  • Dish recommendation system based on data mining and cloud computing service
  • Dish recommendation system based on data mining and cloud computing service

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Embodiment Construction

[0020] The objects and functions of the present invention and methods for achieving the objects and functions will be clarified by referring to the exemplary embodiments. However, the present invention is not limited to the exemplary embodiments disclosed below; it can be implemented in various forms. The essence of the description is only to help those skilled in the relevant art comprehensively understand the specific details of the present invention.

[0021] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar components, or the same or similar steps.

[0022] figure 1 Schematically shows a system block diagram of a dish recommendation system based on data mining and cloud computing services according to an embodiment of the present invention.

[0023] The dish recommendation system 100 according to the present invention includes at leas...

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Abstract

The invention provides a dish recommendation system based on data mining and cloud computing service. The method comprises the following steps: 1) receiving a recommendation request input by a user; b) judging whether the user selects a restaurant, and if not, recommending at least one restaurant for the user; c) reading a restaurant template according to the selected restaurant or the recommended restaurant, so as to generate at least one dish collocation scheme based on a dish model; d) scoring the generated at least one dish collocation scheme, wherein scoring standards are selected from at least one of special dish matching judgement, user historical behaviour and evaluation judgement, food material repeatability judgement and user collaborative recommendation weighting; e) selecting a scheme with the highest score and recommending the scheme to the user; f) judging whether the user is satisfied with the recommended scheme, and if not, recommending again until the user is satisfied; and g) updating the dish model, the restaurant model and a user model based on the scheme which the user is satisfied with or not.

Description

technical field [0001] The invention relates to a dish recommendation system, in particular to a dish recommendation system and method based on data mining and cloud computing services. Background technique [0002] In the service of the catering industry, how to recommend satisfactory dishes to customers who are difficult to adjust has always been the goal pursued by the catering industry. Since the flavor characteristics of each restaurant are different, the preferences of diners, the number of diners, the dining standards, etc. are also different, so it is difficult to find a universally applicable method to meet the dining needs of each restaurant and each customer. [0003] The dish recommendation system or method in the prior art is often just a set of artificially formulated rules summed up by the merchants based on their experience. This rule is usually only suitable for a specific period because it is mixed with too many human-made subjective evaluation standards. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/12
Inventor 黄海斌胡毛圆耿红侠孟丹
Owner BEIJING 58 INFORMATION TECH
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