KR20240048651A - Platform providing system for matching pitness trainers - Google Patents

Abstract

A platform providing system for matching health trainers is launched.
According to one embodiment, a platform providing system for matching fitness trainers evaluates tastes or demands based on user terminals and collected data that provide data including personal information, and provides information about clothing and clothing stores that match the user terminal. It is composed of an information provision server that includes an information collection unit that collects personal information, an information processing unit that identifies data collected using a preset data processing method, and a big data processing unit that identifies data collected using a preset data processing method. It is characterized by comprising an information analysis unit that extracts data-based recommended gyms and health trainers, and a control unit that controls the operations of the information collection unit, information processing unit, and information analysis unit.

Description

Platform providing system for matching fitness trainers {Platform providing system for matching pitness trainers}

The following embodiments relate to a platform providing system for matching health trainers.

Generally, in order for customers to consult with or sign a contract with a personal exercise coach, they visit each gym on their own through the Internet or offline and make a consultation or contract.

In the case of this method, there is a problem because it requires considerable effort to find an appropriate health trainer by collecting and verifying fragmented information on the Internet or offline.

Accordingly, there is a demand for a platform that can be conducted online and receive consultation with a suitable health trainer and sign a contract without time or space constraints.

Republic of Korea Patent Application No. 10-2000-0048402 Republic of Korea Patent Application No. 10-2019-0058105

According to one embodiment, the purpose of the present invention is to provide a platform providing system for matching appropriate health trainers by collecting personal information from individuals and analyzing individual tastes and demands based on this.

In addition, the purpose is to provide a system that provides a platform for matching health trainers without time or space constraints by enabling non-face-to-face consultations or contracts between individuals and health trainers.

The present invention according to one embodiment recommends a customized health trainer to a customer, and includes a user terminal providing data including personal information; and an information provision server that evaluates an individual's taste or demand based on the collected data and provides information about a matching gym or health trainer. The information provision server is an information collection unit that collects personal information. An information processing unit that identifies data collected using a preset data processing method, an information analysis unit that extracts recommended gyms or health trainers based on big data based on the identified data, and the information collection unit, information It may include a control unit that controls the operation of the processing unit and the information analysis unit.

Furthermore, according to one embodiment of the present invention, the personal information may include occupation, gender, age, interests, etc.

In addition, according to one embodiment of the present invention, the system for providing a platform for matching fitness trainers includes a data collection step (S1) of collecting personal information from individuals; Data analysis stage (S2), which evaluates the individual's condition based on the collected personal information and evaluates and classifies the collected information. After going through the above data collection stage and data analysis stage, a gym and health trainer suitable for the individual are recommended, and the individual It can be characterized as consisting of a curation stage (S3) that arranges consultations and agreements between health trainers and health trainers.

The device according to one embodiment may be combined with hardware and controlled by a computer program stored in a medium to execute any one of the above-described methods.

According to one embodiment of the present invention, the user can be recommended an appropriate gym and health trainer by analyzing the user's personal tastes and demands based on the entered personal information.

In addition, it has the effect of enabling consultations and discussions on contract details or costs non-face-to-face.

Figures 1 and 2 are block diagrams for explaining a system for providing a platform for matching fitness trainers according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the attached drawings. However, various changes can be made to the embodiments, so the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents, or substitutes for the embodiments are included in the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Although terms such as first or second may be used to describe various components, these terms should be interpreted only for the purpose of distinguishing one component from another component. For example, a first component may be named a second component, and similarly, the second component may also be named a first component.

When a component is referred to as being “connected” to another component, it should be understood that it may be directly connected or connected to the other component, but that other components may also exist in between.

The terms used in the examples are for descriptive purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that it does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the embodiments belong. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted in an ideal or excessively formal sense unless explicitly defined in the present application. No.

In addition, when describing with reference to the accompanying drawings, identical components will be assigned the same reference numerals regardless of the reference numerals, and duplicate descriptions thereof will be omitted. In describing the embodiments, if it is determined that detailed descriptions of related known technologies may unnecessarily obscure the gist of the embodiments, the detailed descriptions are omitted.

Embodiments may be implemented in various types of products such as personal computers, laptop computers, tablet computers, smartphones, televisions, smart home appliances, intelligent vehicles, kiosks, and wearable devices. This is a block diagram to explain the platform provision system for matching health trainers.

As shown in Figure 1, the platform providing system for matching health trainers according to an embodiment of the present invention is a big data-based platform system that collects and analyzes personal information and recommends personalized gyms and health trainers to the user. It may be comprised of a terminal 100, a control unit 200, an information collection unit 210, an information processing unit 220, and an information analysis unit 230.

The user terminal 100 receives personal information through an input module from an individual using it, transmits it to the server, receives information about recommended gyms and health trainers from the server, and outputs the information, thereby providing the relevant information to the user. Perform.

According to one embodiment of the present invention, the user terminal 100 may be a smartphone, tablet, laptop, or desktop capable of wired/wireless communication, but in addition to the above-mentioned examples, it can transmit and receive data that has been developed and commercialized or will be developed in the future. This should be interpreted as a concept that includes all possible devices.

In addition, one or more applications may be installed on the user terminal 100, and the application may be an application that provides services that recommend gyms and health trainers, or an application program interface, embedded software, or software development kit related to the above services. The included application may be pre-installed for implementation of the present invention.

According to one embodiment of the present invention, the user terminal 100 itself can transmit and receive data or signals related to personal information to the control unit 200 through one or more applications installed on the user terminal.

In the case of the control unit 200, it is a device that controls the operations of the information collection unit 210, the information processing unit 220, and the information analysis unit 230, and analyzes big data related to personal information to provide a gym and health trainer suitable for the user. Built-in driving program, machine learning, and recommendation algorithm to select information

In the case of the information collection unit 210, it serves to collect personal information from individuals through the user terminal 100.

According to an embodiment of the present invention, the personal information may include occupation, gender, age, taste, etc., but may also include other information in addition to the examples described above.

According to one embodiment of the present invention, a set form can be presented to the user and the answer can be provided as personal information.

In addition, the information collection unit 210 performs a role of crawling and collecting information from gym-related sites such as gym and fitness trainer sites.

In the case of the information processing unit 220, it serves to identify and process data collected or stored from the information collection unit 210.

According to one embodiment of the present invention, the information processing unit 220 identifies or de-identifies collected or stored data using a preset data modeling method and calculates recommended data.

At this time, the recommended data mart may include a preference DM that considers preference scores based on preference calculation conditions for basic data. In addition, the recommended data mart may include related DMs considering a correlation score based on keyword-based relevance for each public data based on preferred DMs.

The information analysis unit 230 maps the data and personal information identified through the information processing unit 220 and selects personalized gyms and health trainers through a preset algorithm based on this.

Additionally, the information analysis unit 230 can calculate an individual's preference based on information entered by the user and calculate a suitable gym and health trainer.

According to one embodiment of the present invention, the information analysis unit 230 applies cloud service-based artificial intelligence technology, and users receive personal analysis through the latest machine learning analysis system and high-speed processed data, and based on this, You can receive recommendations for specific gyms and fitness trainers.

Additionally, the information analysis unit 230 may generate a recommendation list based on the calculated preferences, and more specifically, the information analysis unit may generate a recommendation data list by performing a recommendation process.

Additionally, the information analysis unit 230 may generate a recommended keyword association list related to recommended keywords by performing a keyword grouping process based on the mapped data.

Figure 2 is a block diagram illustrating the execution steps of a platform providing system for matching health trainers according to an embodiment.

According to one embodiment of the present invention, a platform providing system for matching fitness trainers includes a data collection step (S1) of collecting personal information from individuals; Data analysis step (S2), which evaluates and classifies information collected from individuals based on the collected personal information; After going through the above data collection and data analysis steps, a curation step (S3) may be performed to recommend a gym and health trainer suitable for the individual and to arrange consultation and agreement between the individual and the gym or health trainer.

The embodiments described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, and a field programmable gate (FPGA). It may be implemented using one or more general-purpose or special-purpose computers, such as an array, programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes magneto-optical media and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Although the embodiments have been described with limited drawings as described above, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the following claims.

100: User terminal
200: control unit
210: Information Collection Department
220: Information processing department
230: Information Analysis Department

Claims (1)

By recommending personalized gyms and health trainers,
A user terminal that provides data including personal information; and
It is configured to include an information provision server that evaluates individual tastes or demands based on the collected data and provides information about gyms and health trainers that match them, and the information provision server is an information collection unit that collects personal information. an information processing unit that identifies data collected using a preset data processing method, an information analysis unit that extracts recommended gyms and health trainers based on big data based on the identified data, the information collection unit, and information A platform providing system for matching a health trainer, comprising a control unit that controls the operation of the processing unit and the information analysis unit.