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Physical exercise recommendation method and device based on big data and storage medium

A sports and recommendation method technology, which is applied in the direction of electronic digital data processing, other database retrieval, structured data retrieval, etc., to achieve the effect of convenience and sports needs

Active Publication Date: 2021-04-02
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a sports recommendation method, device and storage medium based on big data, aiming to solve the lack of a method in the prior art that can perform sports from time to time when the user cannot form a sports system for a long time The problem with the state of the art of recommending sports type effective

Method used

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  • Physical exercise recommendation method and device based on big data and storage medium
  • Physical exercise recommendation method and device based on big data and storage medium
  • Physical exercise recommendation method and device based on big data and storage medium

Examples

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Embodiment 1

[0042] It should be noted that the method for recommending sports based on big data provided in the embodiments of the present invention may be implemented by computer software and hardware, the realization ontology may be realized by computer programs to realize various process steps, and the carrier may be a terminal including a terminal. and products including computer equipment. The computer equipment may be an independent physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud server, cloud database, cloud storage, and CDN; the terminal may be It is smartphones, tablets, laptops, desktop computers, smart speakers, smart watches, etc., but not limited to this.

[0043] like figure 1 As shown, it is a flowchart of a method for recommending sports based on big data provided in an embodiment of the present invention. In one embodiment, a method for recommending sports...

Embodiment 2

[0071] like Image 6 As shown, in one embodiment, a big data-based sports recommendation device is provided, and the device can be integrated into the above-mentioned computer equipment, and specifically can include:

[0072] The user information receiving module 610 is used to receive the historical motion information input by the user, the historical motion information is used to record the user's historical motion situation, and the historical motion information includes the user's historical motion type, historical motion duration and interval exercise duration;

[0073] The exercise search and recommendation module 620 is used to search for the sports type matching the above-mentioned information relevancy from the preset large database according to the user's historical exercise type, historical exercise duration and interval exercise duration, and recommend the sports type to the user. User, the preset large database is constructed from big data collection and analysis,...

Embodiment 3

[0092] In one embodiment, a computer-readable storage medium is provided, and a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the processor performs the following steps:

[0093] Receive the historical motion information input by the user, the historical motion information is used to record the user's historical motion situation, and the historical motion information includes the user's historical motion type, historical motion duration and interval exercise duration;

[0094] According to the user's historical exercise type, historical exercise duration and interval exercise duration, a sports type matching the above-mentioned information correlation degree is searched from a preset large database, and the sports type is recommended to the user. The database is constructed from big data collection and analysis, and the correlation matching means that the user and / or other users have performed one or mo...

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PUM

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Abstract

The invention belongs to the technical field of big data application, and discloses a physical exercise recommendation method and device based on big data and a storage medium. The method comprises the steps of receiving historical motion information input by a user, wherein the historical motion information comprises a user historical motion type, historical motion duration and interval motion duration; and searching a physical exercise type matching the information relevancy from a preset big database according to the historical exercise type, the historical exercise duration and the interval exercise duration of the user, and recommending the physical exercise type to the user. According to the invention, by analyzing the historical exercise information input by the user, various information such as what type of physical exercise the user has performed before performing the exercise and how long the interval time is, so that the physical exercise type recommended to the current usercan be combined according to the historical exercise information of the user; and therefore, when the user wants to do the physical exercise again after the interval time, the user no longer entangles what physical exercise is selected more properly.

Description

technical field [0001] The invention belongs to the technical field of big data application, and in particular relates to a method, device and storage medium for sports recommendation based on big data. Background technique [0002] Sports are all kinds of activities that are gradually carried out in the process of human development to cultivate one's physical quality consciously. Various forms of physical activity such as walking, running, jumping, throwing, and dancing are used, and these activities are commonly referred to as physical exercises. The experience sports are rich in content, including ball games, skating, weightlifting, martial arts, swimming, wrestling, cycling, track and field, aerobics, mountaineering and other items. [0003] However, everyone will be suitable for different exercises according to their own physical conditions, in order to achieve good exercise effects. If the athlete does not exercise blindly according to their actual situation, it is ea...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/904G06F16/9038G06F16/21
CPCG06F16/9535G06F16/904G06F16/9038G06F16/219
Inventor 金硕詹晓蕾
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY