KR20220154355A - A platform system for providing customized beauty-related data based on big data - Google Patents

Abstract

The present invention relates to a beauty record management platform system. More specifically, the present invention relates to a sales-increasing beauty management platform system based on a local region. As a convergence of information and communications technologies (ICT) technology and fintech, which is linked to record management using smartphones, an intuitive system is provided, in which consumers do not directly search for information beyond human-to-human connections that occur offline, and which provides and manages accurate information tailored to the consumer. In order to achieve the above purpose, the present invention comprises: customer terminal for requesting a beauty treatment based on customer customized beauty information set in advance; a beauty record management server for managing beauty information received from the customer terminal and classifying and managing specific customer beauty information in a customized manner; and a beauty terminal connected to the beauty record management server to receive the managed information and to check the information.

Description

Customized beauty-related data provision platform system based on big data {A PLATFORM SYSTEM FOR PROVIDING CUSTOMIZED BEAUTY-RELATED DATA BASED ON BIG DATA}

The present invention relates to a beauty-related data providing platform system, and more specifically, as a convergence of ICT (Information and Communications Technologies) technology and fintech in which data provision using a smartphone is linked, human-to-human connection made offline It is about a so-called big data-based customized beauty-related data provision platform system that enables accurate information data management tailored to consumers and an intuitive system that can utilize that data.

In modern life, where external beauty is emphasized, the proportion of hairstyles is increasing, and hairdressing salons are equipped with various hair care or hair styling systems such as perm, dyeing, or treatment that reflect this trend. to be.

In addition, in general, hair salons are places where you can receive services such as hair styling, makeup, and skin care. Recently, interest in individual beauty has increased, providing systematic beauty services that meet the tastes and needs of each customer. management is required.

On the other hand, as interest in hairstyles increases, customers who want to change their hairstyles move to at least one hair salon in search of a hair salon that takes good care of their hair. In addition, if the customer changes their hairstyle and is satisfied with the result, they designate it as their favorite hair salon and use it only there.

In addition, it is often the case that a hairdresser in charge of a customer quits or forgets a hairstyle that the customer is satisfied with, resulting in a completely different style. In addition, if you are located far away from the hair salon you frequently visit, you often feel the inconvenience of having to visit a hair salon far away.

As such, each individual has different information about beauty, and in order to accurately utilize the data, it is necessary to build big data based on accurate customized information, and only use accurate big data based on the customized information to obtain additional data. The value of use will increase.

Accordingly, as a convergence of ICT (Information and Communications Technologies) technology and fintech, in which data provision using smartphones is linked, accurate information data management tailored to consumers and the corresponding data are utilized beyond the offline human-to-human connection. There is a demand for an environment that can provide customized beauty-related data based on so-called big data so that it can be made as an intuitive system as much as possible.

Republic of Korea Patent Registration No. 10-1612781 Republic of Korea Patent Publication No. 10-2011-0041667

The present invention has been devised to solve the above-mentioned problems of the prior art, and is an intuitive system that can manage customized and accurate information data and utilize the corresponding data, outside of the conventional beauty information data construction environment that differs for each individual. The purpose is to provide a so-called big data-based customized beauty-related data providing platform system that enables this to happen.

In order to achieve the above object, the present invention provides a hair collection terminal for collecting at least one of hair component information of a customer's hair moisture level and hair thickness; a customer terminal for registering customer customized beauty information set in advance; a beauty data server for classifying and managing beauty information registered and collected hair component information from at least one of the hair collection terminal and the customer terminal as specific customer beauty information, and composing the information into big data; It is characterized in that it includes; a confirmation terminal for receiving the configured big data by being connected to the beauty data server and confirming the corresponding information.

In addition, the beauty data server is characterized by having a server connection module for supporting transmission of big data configured by being connected to a plurality of external servers.

In addition, the beauty data server is characterized by having a hair determination module for determining a hair condition of a specific customer based on the collected hair component information.

In addition, the beauty data server receives the history of beauty treatment requested through the customer terminal, and based on the history, the beauty data server determines the beauty treatment of the customer based on at least one of the region, treatment time, content, price, and product used based on the history. It is characterized by having a beauty treatment history module for classifying and managing treatment history.

In addition, the beauty data server may include a hair information collection module for collecting hair product review data by crawling online web pages.

In addition, the beauty data server is characterized in that it has a hair component management module for receiving hair component information about the customer before and after cosmetic treatment by the hair collection terminal, classifying and managing the corresponding information as information about a specific customer. to be

In addition, the beauty data server receives hair component information about the customer's hair before and after the cosmetic procedure transmitted by the hair collection terminal, and generates and manages data on differences in the customer's hair component based on the hair component information before and after the hair treatment. It is characterized by having a component difference module.

In addition, the beauty data server receives registered beauty information and collected hair component information history from at least one of the hair collection terminal and the customer terminal, and accumulates at least one of points and stamps in the corresponding customer terminal. It is characterized by having a point management module for

In addition, the beauty data server informs the customer terminal of an event operated separately for each beauty store, and at least one beauty store information among the location of the beauty store, contact information, new sales list, applied discount rate and price when providing event guidance. It is characterized by having an event guidance module for transmitting together.

In addition, the beauty data server may include a product recommendation module for generating customized hair product recommendation data for a specific customer based on the information data managed by the beauty data server.

The platform system for providing customized beauty-related data based on big data according to the present invention goes beyond offline human-to-human connection to manage customized and accurate information data and to make the data available as an intuitive system It provides a so-called big data-based customized beauty-related data providing platform system.

In addition, based on the above effect, it is possible to build customized and accurate data for beauty information that differs from person to person.

In addition, a valuable data utilization environment can be provided through the data built based on the above effects.

However, the effects of the present invention are not limited to the above-mentioned effects, and effects not mentioned will be clearly understood by those skilled in the art from this specification and the accompanying drawings.

1 is a diagram schematically showing a platform system for providing customized beauty-related data based on big data according to an embodiment of the present invention.
FIG. 2 schematically shows a beauty data server in a platform system for providing customized beauty-related data based on big data according to an embodiment of the present invention.
3 is a diagram for explaining a method of providing customized beauty-related data based on big data according to an embodiment of the present invention.

The terms or words used in this specification and claims should not be construed as being limited to ordinary or dictionary meanings, and the inventors may appropriately define the concept of terms in order to explain their invention in the best way. It should be interpreted as a meaning and concept consistent with the technical idea of the present invention based on the principle that there is.

Therefore, the embodiments described in this specification and the configurations shown in the drawings are only one of the most preferred embodiments of the present invention, and do not represent all the technical ideas of the present invention, so that they can be substituted at the time of this application. It should be understood that there may be many equivalents and variations.

Hereinafter, a platform system for providing customized beauty-related data based on big data according to the present invention will be described with reference to the drawings.

1 is a diagram schematically illustrating a platform system for providing customized beauty-related data based on big data according to an embodiment of the present invention.

The region-based customized beauty record management platform system according to the present invention is basically composed of a customer terminal, a beauty record management server, and a beauty terminal.

Referring to FIG. 1 , more specifically, the present invention provides a hair collection terminal for collecting at least one or more hair component information of a customer's hair moisture level and hair thickness, and a customer's customized beauty information set in advance (eg: hair style, whether or not dyed, cut time, age, gender, etc.), and beauty information registered and collected hair component information from at least one of the hair collection terminal and the customer terminal are transmitted to a specific customer beauty It includes a beauty data server for classifying and managing information and configuring the information as big data, and a confirmation terminal for receiving the configured big data connected to the beauty data server and checking the corresponding information. In addition, the classification of the beauty information of a specific customer may refer to classifying and managing the beauty information of a corresponding customer based on a specific customer.

Each of the hair collection terminal, customer terminal, and confirmation terminal accesses the beauty record management server through an online network and transmits and receives information and data managed by the server, and is a tablet, netbook, PDA (personal digital assistant), PMP (portable multimedia player), smart phone, wearable smart device, hair component analysis device, point of sales (POS), etc. may be provided with software for

The beauty data server can be built to serve as a kind of web server, database server, or mobile server. For example, processed results can be displayed on a web page through an online network or necessary input data can be transmitted through a web page. , Here, the web page should be interpreted as including software for performing the same specific task, and may also be constructed to provide an interface with an application installed on a desktop, laptop, smart phone, tablet PC, POS, etc.

In addition, the online network referred to in the present invention may be a core network integrated with a wired public network, a wireless mobile communication network, or a mobile Internet, etc. Protocol), HTTPS (Hyper Text Transfer Protocol Secure), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), etc. , It comprehensively means a data communication network capable of transmitting and receiving data in various forms without being limited to these examples.

Hereinafter, specific details related to the hair collection terminal, the customer terminal, and the confirmation terminal will be described.

<Main Components, Functions and Effects of Hair Collection Terminal, Customer Terminal and Verification Terminal>

* input module

- The hair collection terminal, customer terminal, and confirmation terminal may input content and information corresponding to the process to be performed in the providing platform system through at least one input method among a text input method, a touch input method, and a voice input method.

- The input module may include a plurality of input keys and function keys for receiving numeric or character information and setting various functions, and the function keys include direction keys, side keys, and shortcuts set to perform specific functions, , The input module may generate a key signal related to function control of the hair collection terminal, customer terminal, and confirmation terminal and transmit it to the hair collection terminal, customer terminal, and confirmation terminal.

- Qwerty Keypad, 3*4 Keypad, 4*3 Keypad, Ball Joystick, Optical Joystick, Wheel Key, Touch Key, Touch Pad and Touch It may be formed by any one or a combination of input means such as a touch-screen.

- For example, if a hair collection terminal, a customer terminal, and a confirmation terminal support a full touch screen, a volume key for volume control formed on the side of the case of the corresponding terminal, power for screen on/off and portable terminal on/off It may include only a key, and in particular, an input signal instructing access to a beauty data server, an input signal corresponding to authentication information input, an input signal instructing a specific sandbox selection, an input signal instructing a change in color or transparency of content, etc. It can also generate various input signals such as

* Terminal control module

- It may also perform a data processing function of controlling the overall operation of the provision platform system to receive transmission from the hair collection terminal, customer terminal, and confirmation terminal, and controlling the signal flow between internal blocks of the hair collection/customer/confirmation terminal, and processing data. has exist

- For example, the terminal control module is based on a central processing unit (CPU), application processor, etc. and GPS (Global Positioning System) for generating real-time location information of hair collection/customer/confirmation terminals. may be equipped with a measuring sensor of

FIG. 2 schematically shows a beauty data server in a platform system for providing customized beauty-related data based on big data according to an embodiment of the present invention.

Hereinafter, details related to the beauty data server will be described.

<Main Components, Functions and Effects of Beauty Data Server>

* Server connection module

- By supporting the transmission of big data configured by connecting to multiple external servers, it is possible to actively encourage the data utilization environment between the built big data.

- In addition, personalized beauty information built in the beauty data server supports linkage with external servers, enabling free data transmission.

- Also, for example, when requesting the use of the big data information from a server of a company researching hair products, support may be provided so that the server of the company and the beauty data server are interlocked.

* Hair discrimination module

- By determining the hair condition of a specific customer based on the collected hair component information, it is possible to support the real-time understanding of the customer's hair condition.

- In addition, as an example, if the moisture level of the collected hair of a specific customer is determined to be below a certain standard, the hair condition may be notified as a dangerous state.

- In addition, as an example, the data that is the criterion for discrimination is based on a paper open to the public, and the module may support upload so that the data that is the criterion for discrimination can be built into the beauty data server.

* Beauty treatment history module

- By receiving the requested cosmetic treatment history through the customer terminal and classifying and managing the customer's cosmetic treatment history based on at least one of the region, treatment time, content, price, and used product of the specific customer based on the history , enabling the establishment of accurate cosmetic treatment history information for a specific customer

- In addition, among the beauty treatment history for each specific customer, the customer's region, treatment time, treatment item, price, product used, and store can be identified by information (e.g., company name and phone number, etc.) can be classified and managed.

* Hair information collection module

- By crawling online web pages to collect hair product review data, it is possible to build information and review information data on hair products introduced online.

- In addition, the crawling may further collect information and review information on hair products introduced through applications as well as online web pages.

- For example, crawling is the task of collecting contents such as each search site, style introduction site, SNS site, and application (e.g., cafes, news, blogs, knowledge bulletin boards, and beauty-related applications provided by various portals). Through the open API (Application Programming Interface) provided by the service, the desired content is collected based on HTML (Hypertext Markup Language) tag information, and necessary data is collected by analyzing the network between browsers, where webpage crawling should be interpreted as self-evidently known technical content

-In addition, through the above crawling, information on hair products and review information, as well as information on overall utilization of hair products, such as methods for the hair products and hair salons used, may be collected.

* Hair ingredient management module

- Receives hair component information about the customer before and after cosmetic treatment by the hair collection terminal, and classifies and manages the information as information about a specific customer, enabling the establishment of objective data information about before and after cosmetic treatment

- Also, as an example, it may help to objectify information about before and after each procedure so that the same procedure as before can be performed in the next procedure.

- Also, for example, even if you go to another store, you can help to perform the same procedure as before at any store based on the managed information.

* Hair component difference module

- Hair component information before and after cosmetic treatment is received by the hair collection terminal, and data on differences in hair components of the customer is created and managed based on the hair component information before and after the customer's cosmetic treatment. Enables the building of information about differences

- In addition, as an example, it can help to make the same procedure as before in the next procedure by objectifying the information on the difference in hair component information before and after each procedure.

- Also, for example, even if you go to another store, you can help to perform the same procedure as before at any store based on the managed information.

- In addition, as an example, it can help to make use of additional data such as product ingredient application experiments by objectifying the information on the difference in hair component information before and after each procedure.

* Point management module

- Accumulated points and stamps are used by receiving registered beauty information and collected hair component information history from at least one of the hair collection terminal and the customer terminal and accumulating at least one of points and stamps in the corresponding customer terminal To attract practical customers for

- As an example, the stamp is accumulated once per registration and collection, and depending on the number of times the stamp is accumulated, it may be possible to provide free services for procedures sold at a specific beauty store.

- In addition, by supporting accumulated points to be used among multiple local beauty stores, small beauty stores can share points with each other to encourage customers to use points without limit and increase sales of all mutually shared beauty stores.

- In addition, the customer's points can be converted into at least one of cash and mobile coupons at the request of the customer terminal based on the accumulated customer point information, so that the accumulated points can be used in various ways.

- In addition, as an example, when a customer terminal requests conversion of accumulated points into cash, a bank account is received from the customer terminal, and then the cash is transferred to the customer's bank account through a customer authentication process, and accumulated customer points are converted into cash. may be deducted

- In addition, as an example, the accumulated points can be donated according to the request of the customer terminal, so that when the customer terminal requests donation of the accumulated points, the points themselves are accumulated in the name of a specific donation organization, and then the donation organization May be made available for cosmetic procedures

- In addition, the point donation status information (e.g., name of donation organization, date of donation, contact information of donation organization, amount of donated customer points, etc.) It can also make you feel personally happy.

* Event information module

- By notifying the customer terminal of events that are operated separately for each beauty store, and transmitting at least one beauty store information among the location of the beauty store, contact information, new sales list, applied discount rate and price when the event is announced, the corresponding customer can increase the revisit rate and enable efficient marketing of small and medium-sized beauty stores

- In addition, as an example, events such as Seodaemun-gu, Eunpyeong-gu, Mapo-gu, Yongsan-gu, Jongno-gu, Namdaemun Market, Dongdaemun Market, Gwangjang Market, etc. or arbitrarily defined zones (eg Gangnam Zone, Yeoksam Zone, Seolleung Zone, etc.) You can set the region where the event will be held, or set the period for the event, such as time, day, month, etc.

- In addition, as an example, it is possible to hold events that are limited in detail by setting the region, period, and affiliated stores so that customers who meet the set conditions are interested in the event.

- In addition, as an example, information on event progress (e.g., price discount, free gift, gift lottery, service time extension, point accumulation, etc.) along with the event duration set by time slot, day of the week, month, etc. You can also direct customers who have received it

* Product recommendation module

- Create customized hair product recommendation data for a specific customer based on the information data managed by the beauty data server

In addition, looking at the beauty data server in the present invention in more detail, various information data managed by the server (e.g., customized beauty information of customers set in advance (e.g., hair style, whether or not dyed, cut time, age, Gender, etc.), information determined by the hair discrimination module, beauty treatment history module, information managed by the hair component management module and hair component difference module, information collected by the hair information collection module, etc.) are preprocessed (data preprocessing module). ), obtaining statistical data based on the preprocessed data and performing mining analysis based on at least one of the preprocessed data and the obtained statistical data.

Additionally, looking more specifically at the beauty data server in the present invention, the mining analysis performed by the mining analysis module among the beauty data servers is time-sequentially short-term analysis, that is, real-time data analysis concept, as well as each managed It may include data analysis from a microscopic perspective on the data of

Data pre-processing, which is performed by the mining analysis module as a preliminary step of mining analysis, processes various information data managed by the beauty data server to derive more useful information for analysis, and more specifically, to process the processed data. Based on this, it includes the process of reflecting trends and changing trends, analyzing patterns of continuous data through combined conversion of periodic functions, converting time series data into string form to analyze patterns, and converting time series data into string form to analyze patterns. In addition, the data preprocessing performed by the data preprocessing module is, in more detail, smoothing to remove noise of the data, normalization to trim the data to fit into a smaller range, and the data value It can also include discretization, which is replaced by other ranges or higher-level concepts.

Looking at the mining analysis performed in the mining analysis module in detail, based on the preprocessed data, customer information statistical data classified by customer's objective factors such as customer's residential area, age, gender, etc. are obtained, and the preprocessed data and “customized hair product recommendation data for a specific customer” and “customized hair product data for each region according to each customer” based on a single analysis algorithm, Decision Tree, through at least one or more of the obtained statistical data. A model for generating at least one of “customized hair product data for each customer and customized hair product data for each style according to each customer” is constructed, or factors such as evaluation or emotion are analyzed in the data to determine the distribution of opinions on related topics. After constructing a model to statistically provide by clustering or quantifying evaluation, and then arranging different single analysis algorithms in parallel, using the boosting technique, which is a combination / combination of multiple single analysis algorithms, boosted tree The analysis model can also be updated in the form of a (Boosted Tree). Moreover, a single defective analysis algorithm may be excluded from updating an analysis model in the form of a plurality of single analysis algorithms by analyzing a pattern generated by repetition of a single bad analysis algorithm among single analysis algorithms.

In addition, looking at the mining performed in the mining analysis module, various information data managed by the beauty data server are generally stored in the form of text data, and simple text data is unstructured data. Because of this, automated analysis by itself is difficult. Therefore, in order to analyze text data, a formalization (pre-processing) process is required to enable automated analysis.

In addition, based on text mining, there is an opinion mining process in which not only the meaning of a text but also emotional information about a recorded text is found. It is also possible to statistically provide opinion distributions on related topics by analyzing factors such as factors such as clustering or quantifying evaluations.

More specifically, when opinion mining is introduced into the mining analysis module, information contained in data classified by customer's objective factors such as customer's residential area, age, gender, etc., hair collection, information data transmitted from customer terminals, and overall beauty It is possible to easily check what kind of evaluation or appraisal (eg, correlation with preference of hair product ingredients corresponding to each data) has on the data managed by the data server, and what kind of evaluation (eg, on average) of the information data : Correlation with hair product ingredient preference corresponding to all data) can be confirmed, so it can be helpful in making decisions through related algorithms.

In addition, based on the preprocessed data, any evaluation (e.g., hair product ingredient preference by region, hair product ingredient preference by gender, You can easily check whether you have hair product ingredient preference by age, etc.), and what kind of evaluation (eg hair product ingredient preference by region/age, hair product ingredient by region/gender) the total statistical data is for that category. Preference, hair product ingredient preference according to region/age/gender, etc.) can be checked to help analyze classified and statistical data.

In addition, the beauty data server includes a product recommendation module for generating customized hair product recommendation data for a specific customer using a machine learning method based on at least one of preprocessed data and mining-analyzed data. You may.

In addition, the beauty data server uses a machine learning method based on at least one of preprocessed data and mining-analyzed data to provide customized hair product data for each customer by region, customized hair product data for each customer, and each customer. A customized product module may be provided to generate at least one or more data among hair product data customized for each style according to the customer.

More specifically, the data generated by the product recommendation module and the customized product module are gradient descent, which is one of machine learning methods, based on at least one of data analyzed by the mining analysis module and preprocessed data. At least one of “customized hair product recommendation data for a specific customer” and “customized hair product data for each customer by region, customized hair product data for each customer, and customized hair product data for each style for each customer” using Gradient Descent. Machine learning basically learns a given environment (state) through trial and error obtained by selecting a certain action, determines and executes an action according to a set policy, and takes action. It is a type of machine learning that learns while modifying the behavioral policy based on the reward obtained according to the action.

Specifically, looking at gradient descent, gradient descent is primarily about estimating a 'function relationship', in other words, from a data set (x, y). It can be said that it is a process of generating a hypothesis using a learning algorithm, inputting data into the generated hypothesis, obtaining predicted value data, and finding out what kind of equation the expression corresponding to the hypothesis is and what the coefficient means.

In addition, in machine learning regression analysis, if the coefficients of the equation are linear, it is called Linear Regression Analysis, and if the coefficients of the equation are multiple, it is called Multiple Linear Regression Analysis, and the test data is y= The data created by mixing a slight error in the x graph shows the result of finding the weight value (w) and bias value (b) that fit the data through learning, and the error with the result value according to the definition of y = wx + b A suitable function can be found through gradient descent.

In addition, when learning hypotheses about data, by calculating the difference between the drawn line and the distribution of each data, it can be known that the line with the smallest difference is the line suitable for this model, and this is called the cost function. It can be used to infer the difference between the actual hypotheses and the expressed values.

Specifically, since the cost function (error function) is composed of two parameters (w, b) and can be expressed in a two-dimensional space, the height of the error function at each point is the error for a straight line, and some straight lines It has a smaller error than other straight lines. For example, when performing the gradient descent algorithm in Tensor Flow, it starts at a point on this plane and moves to find a straight line with a smaller error.

In addition, in order to calculate the gradient of the error function, the error function is differentiated, and whenever there is repetition of the process of finding a straight line, partial differential equations for w and b are required to determine the moving direction.

Multiple regression analysis is defined as y = w1*x1 + x2*x2 + b in the case of multiple regression analysis with two or more variables (x1, x2). And through learning, you can find a plane that fits the data.

Through single and multiple linear regression analysis as above, it can be seen that if there is any data, a function representing the data can be learned.

In addition, the gradient descent method is an optimization algorithm for minimizing the cost cost. Optimization is to select the one that best satisfies a given criterion among several allowable values, and to find the position of the minimum value of the function in the opposite direction of the slope of the cost function. It can be said to be the process of finding the optimal parameter while moving little by little with the step size defined by .

Additionally, the beauty data server uses a deep learning method based on at least one or more of pre-processed data, mining-analyzed data, data generated by a product recommendation module, and data generated by a customized product module. Therefore, a preference prediction module may be provided to predict the preference of existing customers for newly combined hair products for each hair product component. Looking at the algorithms of the deep learning method here, some of the deep learning algorithms are convolutional neural networks (CNN: convolution neural network) algorithm, and the convolutional neural network algorithm may include one or more convolution layers, one or more activation functions, and one or more pooling layers, wherein each convolution layer is composed of one or more convolution filters. may be configured. The structure of such a convolutional neural network may vary according to specific embodiments of the present invention.

3 is a diagram for explaining a method of providing customized beauty-related data based on big data according to an embodiment of the present invention.

On the other hand, the method of providing customized beauty-related data based on big data according to the present invention basically includes a hair information collection step, a customer information registration step, a hair information big data step, a big data utilization step, and a big data confirmation step. .

More specifically, referring to FIG. 3 , a hair information collection step in which the hair collection terminal collects at least one or more hair component information of the customer's hair moisture level and hair thickness, and the customer's customized beauty treatment set in advance by the customer terminal In the customer information registration step of registering information, the beauty data server classifies and manages the registered beauty information and collected hair component information from at least one of a hair collection terminal and a customer terminal as specific customer beauty information, Hair information big data step of constructing information as big data, big data utilization step of supporting big data transmission configured by connecting the server connection module to a plurality of external servers, and the confirmation terminal being connected to a beauty data server It includes a big data confirmation step of receiving the configured big data and confirming the corresponding information.

In the above description of the present invention with reference to the accompanying drawings, the specific shape and direction have been mainly described, but the present invention can be variously modified and changed by a person having ordinary knowledge in the technical field belonging to the invention, and these Modifications and changes should be construed as being included in the scope of the present invention.

Claims (10)

a hair collection terminal for collecting at least one of hair component information of a customer's hair moisture level and hair thickness;
a customer terminal for registering customer customized beauty information set in advance;
a beauty data server for classifying and managing beauty information registered and collected hair component information from at least one of the hair collection terminal and the customer terminal as specific customer beauty information, and composing the information into big data;
Characterized in that it comprises a; confirmation terminal for receiving the configured big data by being connected to the beauty data server and confirming the corresponding information,
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
Characterized in that it has a server connection module for supporting big data transmission configured by connecting to a plurality of external servers.
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
Characterized in that it has a hair discrimination module for determining the hair condition of a specific customer based on the collected hair component information.
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
To classify and manage customer cosmetic treatment history based on at least one of the region, treatment time, content, price, and used product of a specific customer based on the received cosmetic treatment history requested through the customer terminal Characterized in that it has a cosmetic procedure history module,
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
Characterized in that it has a hair information collection module for collecting hair product review data by crawling online web pages.
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
It is characterized by having a hair component management module for receiving hair component information about the customer before and after beauty treatment by the hair collection terminal and classifying and managing the information as information about a specific customer.
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
It is characterized by having a hair component difference module for receiving hair component information about the customer before and after cosmetic treatment by the hair collection terminal, and generating and managing data on the difference in hair component of the customer based on the hair component information before and after the customer. to do,
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
A point management module for receiving registered beauty information and collected hair component information history from at least one of the hair collection terminal and the customer terminal and accumulating at least one of points and stamps in the corresponding customer terminal. characterized in that,
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
Event guidance module for transmitting at least one or more beauty store information among the location, contact information, new sales list, applied discount rate and price of the beauty store when an event is announced while notifying the customer terminal of the event operated separately for each beauty store Characterized in that it comprises,
A platform system that provides customized beauty-related data based on big data.
The method of claim 1,
The beauty data server,
It is characterized by having a product recommendation module for generating customized hair product recommendation data for a specific customer based on the information data managed by the beauty data server.
A platform system that provides customized beauty-related data based on big data.

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