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Healthy diet analysis recommendation system design method

A recommendation system and design method technology, applied in computing, business, instruments, etc., can solve the problems of difficult to guarantee information accuracy, algorithm time efficiency and space scalability need to be improved, and high complexity, so as to improve the efficiency of discovery and improve mining. The effect of efficiency, strong adaptability and fault tolerance

Inactive Publication Date: 2019-08-20
烟台艾易新能源有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing data mining methods have high complexity, the diversity and multi-level of data make it difficult to guarantee the accuracy of information obtained by data mining, and the time efficiency and space scalability of the algorithm need to be improved

Method used

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  • Healthy diet analysis recommendation system design method
  • Healthy diet analysis recommendation system design method
  • Healthy diet analysis recommendation system design method

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Experimental program
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Embodiment Construction

[0014] refer to Figure 1-Figure 3 , the method of the present invention comprises the following steps:

[0015] A. Obtain user diet data from the database of the online catering e-commerce website platform, and establish a healthy diet analysis and recommendation system;

[0016] Obtain user diet data from the database of the online catering e-commerce website platform. In order to increase the value density of user data, user data can also be obtained from mobile networks, social networks and other channels, and all data can be integrated to establish a healthy diet analysis and recommendation system. Such as figure 2 As shown, the main modules of the system include: relationship layer, data layer and processing layer.

[0017] The relationship layer is mainly responsible for the maintenance of data cleaning, preprocessing, etc., as well as the maintenance of the relationship between user sessions and website services; the data layer is used to store the user's diet data,...

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Abstract

The invention discloses a healthy diet analysis and recommendation system design method. The method mainly comprises the following steps: A, acquiring user diet data from a database of an online catering e-commerce website platform, and establishing a healthy diet analysis and recommendation system; B, preprocessing the data through data cleaning, user uniqueness identification and session identification to obtain accurate data; C, analyzing and mining association rules among data of the user access pages through paths of the user access pages, and extracting dietary habits of the user; and D,analyzing the nutrition structure of the diet habit of the user, and providing personalized services by the system according to the health condition and personal taste of each user to realize analysis and recommendation of healthy diet. The method has high adaptability and fault tolerance, the discovery efficiency of management rules can be improved, the accuracy of information obtained through data mining is ensured, the data mining time is greatly shortened, and the mining efficiency is improved.

Description

technical field [0001] The invention relates to a design method for a healthy diet analysis and recommendation system, which belongs to the fields of data mining, artificial intelligence and databases. Background technique [0002] With the accelerated pace of life, people seldom pay attention to their own healthy diet. The emergence of takeaway food has facilitated the lives of many people, but the quality of takeaway food has a negative impact on health status. In order to solve the food safety risks brought by takeaway, a healthy diet analysis and recommendation system was built. The system collects the user's dietary data, establishes a database, uses data mining to obtain hidden information in the data, extracts and analyzes the user's eating habits, and recommends healthy food to the user according to the analysis results. Existing data mining methods have high complexity, the diversity and multi-level of data make it difficult to guarantee the accuracy of information...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G16H20/60
CPCG06Q30/0631G16H20/60
Inventor 李星瑶
Owner 烟台艾易新能源有限公司
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