KR20200052680A - Commerce platform system using the analysis of big data - Google Patents

Abstract

The present invention relates to a commerce platform system using analysis of big data to maximize an advertisement effect of a product. To this end, according to one embodiment of the present invention, the commerce platform system comprises an advertiser terminal, a creator terminal, and a commerce platform server registering information about a product inputted from the advertiser terminal and registering video content inputted from the creator terminal. The commerce platform server comprises: a data analysis unit, when the advertiser terminal registers product information of the product together with registration of the product, analyzing the product information based on big data to generate insight as an analysis result; an insight management unit storing the insight generated from the data analysis unit and providing the creator terminal with the insight stored with respect to the corresponding product or the updated insight when the creator terminal selects the corresponding product; a product/content exposure unit, when the creator terminal registers video content made based on the corresponding insight, distributing and exposing the video control to a user by linking with the corresponding product; and a reward amount calculation unit, when sales of the corresponding product are generated by the user′s payment, analyzing sale contribution of the video content to compensate a creator who makes the video content, to calculate a reward amount.

Description

Commerce platform system using big data analysis {COMMERCE PLATFORM SYSTEM USING THE ANALYSIS OF BIG DATA}

The present invention relates to a commerce platform system that utilizes big data analysis, and more specifically, in providing a commerce platform system that links products and video contents, analyzes big data about products, and produces video contents through this. It relates to a commerce platform system capable of maximizing the promotion of a product by distributing it in association with the product.

The Internet provides various information, and provides various services such as advertisement, finance, and e-commerce through online. With the rapid development and popularization of Internet technology, technology for forming and providing content through image information instead of text information and video information instead of image information has been rapidly developed. In particular, YouTube, African TV ( Afreeca TV), Twitch TV, TV Daumpot, and other video platforms or Internet broadcasting platform systems provide various video contents, and users who enjoy them are exploding.

In accordance with the trend of the times, creators (creators) who professionally produce and distribute images targeting a specific platform or various platforms have started to appear, and they create or edit their own video contents, and small or single people. It is being embodied as a broadcasting station. Accordingly, in consideration of their influence, various advertising business models linking creators and advertisements are steadily developed, and recently, at the request of an advertiser, creators produce video contents to directly or indirectly promote a specific product, such as themselves. Advertising has been frequently conducted using images of, and the advertising revenue of the video content produced thereby has established itself as the main source of income.

Under these circumstances, since the user's reaction, such as the number of views on the corresponding video content, is directly related to their advertising revenue, as creators in producing video content for each product, users feel more interested and can effectively attract users. It was inevitable to set the production direction.

In addition, since there was no system to effectively match advertisers and creators, advertisement production was forced to be focused only on well-known influencers who are well-known influencers among creators. As an ordinary creator, it was difficult to get even an opportunity to produce related video content, so it was difficult to enter the system.

The present invention is to solve the above problems, by inducing the creator to create video content in a direction that fits the product-specific trend desired by the user, and distributes the produced video content in association with the product, thereby allowing advertisers The objective is to provide a commerce platform system based on big data analysis that can maximize the promotion of products.

In addition, it provides a commerce platform system based on big data analysis that can induce the influx of new talented creators into the system by mediating advertisements of products between advertisers and creators and at the same time making compensation processing as advertising revenue reasonable. There is a purpose.

The commerce platform system according to an embodiment of the present invention for solving the object of the present invention is an advertiser terminal, a creator terminal, a commerce platform server to which products input from the advertiser terminal are registered, and image contents input from the creator terminal are registered. Included, the commerce platform server is configured to generate insight as an analysis result by analyzing big data based on the product information when product information (Product INFO) of the product is registered together with the product registration from the advertiser terminal Data analysis unit, an insight management unit configured to store the insight generated by the data analysis unit, and when the product is selected from the creator terminal, update the insight or the insight stored for the product to be provided to the creator terminal, the Insight from the creator's terminal When the video content produced based on is registered, the product is linked to the product and distributed, and the product / content exposure unit configured to expose to the user and the sales of the product occurs by payment by the user. In order to compensate the creator who produced the video content, a compensation amount calculation unit configured to calculate the compensation amount by analyzing the sales contribution of the video content.

The commerce platform server according to an embodiment may further include a big data collection unit that collects big data for each online channel based on the product information, and the big data collection unit performs keyword search based on the product information. A general collection module configured to collect public data on the contents searched for by the online channels; And at least one category managed by each of the online channels, configured to determine a category to which the product belongs, based on the product information, and collect personalization data for content that is personally recommended for each online channel based on the determined category. A custom collection module can be included.

The data analysis unit according to an embodiment analyzes big data by category including the product-specific insight module and the collected big data that outputs product insight that analyzes big data associated with the product among the collected big data. It may include a category insight module for outputting a common insight for the unified category.

The insight management unit according to an embodiment may perform an update on the product insight at a time when the product is selected from the creator terminal, and calculate a rate of change between the product insight before the update and the product insight after the update.

The insight management unit according to an embodiment may periodically update the product insight at predetermined intervals, and calculate a rate of change between the product insight before the update and the product insight after the update.

The insight management unit according to an embodiment may set the predetermined interval for each product based on the change rate.

The insight management unit according to an embodiment may adjust the predetermined interval for each product by setting a reference change rate for updating the product insight and comparing the change rate before and after the update with the reference change rate.

The commerce platform system according to the present invention collects big data about the product and provides the result of analysis (insight) to the creator in order to provide insight to the creator in producing video content for each product. By inducing the production of video content in a direction suitable for the desired product-specific trend, and by distributing the produced video content in connection with the product, it is possible to maximize the promotion of the product.

In addition, by mediating advertisements of products between advertisers and creators, and analyzing the contribution of creators' created video content to sales, reward processing as advertising revenue is made reasonable, and the inflow of talented new creators into the system Can induce

1 is a configuration diagram for explaining a commerce platform system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a configuration of a commerce platform server of the commerce platform system of FIG. 1.
FIG. 3 is a block diagram illustrating a big data collection unit and a data analysis unit of the commerce platform server of FIG. 2.
4 is an exemplary view for explaining the analysis results of the data analysis unit.
5 is a flowchart for explaining the operation of the commerce platform server of FIG. 2.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains can easily practice. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In addition, in adding reference numbers to the components of each drawing, the same reference numerals are assigned to the same components even though they are displayed on different drawings. Also, when a part is said to "include" a certain component, this means that other components may be further included rather than excluding other components, unless otherwise stated.

1 is a configuration diagram for explaining a commerce platform system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating a configuration of a commerce platform server of the commerce platform system of FIG. 1.

1 and 2, the commerce platform system 1000 of the present invention, the advertiser terminal 100, the creator terminal 200, the product input from the advertiser terminal 100 is registered, the creator terminal 200 It includes a commerce platform server 300 to which the advertisement video content input from) is registered, and a user terminal 400 to receive the advertisement video content and product detailed information registered in the commerce platform server 300.

The advertiser terminal 100, the creator terminal 200 and the user terminal 400 may be implemented as a computer or a portable terminal that can be accessed through the network 10, and a commerce platform server through the network 10 ( It is configured to connect to 300) to transmit and receive data.

Specifically, the advertiser terminal 100 is a computer or portable terminal owned by a company or an individual (hereinafter referred to as an 'advertiser') who wants to promote and sell a product through the commerce platform system 1000. By connecting to the commerce platform server 300 through the network 10 to perform a new subscription or login, register a product to the commerce platform server 300, and input metadata related to the product, thereby providing the product It is configured to request the production of video content. Here, the product is a concept that includes not only products such as cosmetics, clothing, sundries, etc. handled by advertisers, but also services such as medical and food and beverage industries.

The creator terminal 200 is a creator that professionally produces and distributes videos by targeting a specific platform or various platforms among video platforms such as YouTube, African TV, Twitch TV, Naver TV, TV Daumpot, etc. , 'Creators'.) As a computer or portable terminal owned by the creator, the creator communicates with the commerce platform server 300 through the network 10 to perform a new subscription or login, and promotes himself. When a product is selected, the result information of the big data analysis for the product is received, and the produced video content is registerable to the commerce platform server 300.

The user terminal 400 is a computer or portable terminal owned by a consumer (hereinafter referred to as a 'user') who wants to pay for a product through the commerce platform system 1000, and the commerce through the network 10. It is configured to communicate with the platform server 300, the user performs a new subscription or login, receives product related information including at least one video content from the commerce platform server 300, and is capable of paying for the product.

Here, the computer includes, for example, a desktop (desktop) equipped with a web browser (WEB Browser), a laptop (laptop), a tablet PC (Tablet PC), and the like, and the portable terminal has, for example, portability and mobility. As a guaranteed wireless communication device, a smart phone (smartphone), PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), All types of handheld based, such as International Mobile Telecommunication (IMT) -2000, Code Division Multiple Access (CDMA) -2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) terminals, etc. It may include a wireless communication device.

In addition, the advertiser terminal 100, the creator terminal 200 and the network connecting the user terminal 400 and the commerce platform server 300, the local area network (Local Area Network; LAN), a wide area network ( It can be implemented as a wired network such as a Wide Area Network (WAN) or a Value Added Network (VAN), or any kind of wireless network such as a mobile radio communication network such as 3G, WIFI, LTE, or a satellite communication network. have.

The commerce platform server 300 is configured to communicate with the advertiser terminal 100, the creator terminal 200, and the user terminal 400 through the network 10, and products from the advertiser terminal 100 When registered, it is configured to analyze the big data based on the product information input together, generate an analysis result (insight), and store and manage the insight for each product. When the creator selects a product to be promoted through the creator terminal 200, the stored insight or the insight for the selected product is updated to be provided to the creator terminal 200. Thereafter, when video content for the product is registered through the creator terminal 200, the commerce platform server 300 distributes the video content to the product in association with the sales contribution of the video content for the product. It is configured to calculate the compensation amount by analyzing and to perform compensation processing to the creator.

Hereinafter, the commerce platform server 300 according to the present embodiment will be described in detail with reference to FIG. 2.

The commerce platform server 300 includes a customer management unit 310, a product management unit 320, a big data collection unit 330, a data analysis unit 340, an insight management unit 350, a video content management unit 360, and products / It includes a content exposure unit 370, a compensation amount calculation unit 380, and a compensation processing unit 390.

The customer management unit 310 receives an advertiser who registers a product on the commerce platform server 300, a creator who creates and registers video content, and receives advertising video content and product details registered on the commerce platform server 300. Register and manage users as customers. Specifically, the customer management unit 310 stores and manages the advertiser management module 311 that stores and manages the advertiser's registration information, the creator management module 313 that stores and manages the creator's registration information, and stores and manages the user's registration information It includes a user management module 315.

The advertiser management module 311 receives the basic information such as the advertiser's company name, business registration number, address, and contact information from the advertiser terminal 100 and product information according to the large, medium, and small classification of products handled by the advertiser. It is configured to be stored and managed in the DB 20. Here, in the case of the product family information, product information can be generated and updated by accumulating product information from result information of a big data analysis on the product. In addition, the advertiser management module 311 may register and manage the creator's gender, age, etc. in consideration of an advertiser's preferred creator's condition, for example, an image suitable for a product's personality. In this case, when the creator selects a product to produce video content, the product can be exposed only to the creator who satisfies the conditions.

The creator management module 313 is a financial account number (financial) for receiving remittance of advertisement revenue generated by the creator's terminal 200, basic information such as the name, resident registration number, address, and contact information of the creator and the video content produced by the creator. It is configured to receive the company name, account holder) and store it in the customer DB 20 and manage it. In addition, if the creator is a business, the company name and business registration number can also be registered. The creator management module 313 may register and manage a product group preferred by the creator, and in this case, when the creator selects a product to produce a video content, a product group that satisfies the conditions may be first exposed. In addition, the creator management module 313 may accumulate and record information of products for which creators have registered video content, and analyze the information to recommend related products for creators to produce next video content.

The user management module 315 is configured to receive basic information such as a user's name, resident registration number, address, and contact information from the user terminal 400 and store and manage it in the customer DB 20, and the commerce platform server 300 ) Is configured to accumulate and store payment information for products distributed on the platform managed by. In addition, the user management module 315 is configured to accumulate and store information about the video content viewed by the user on the platform.

In addition, this embodiment has been described as an example that the customer management unit 310 stores and manages the advertiser, creator, and user in the customer DB 20, but is not limited thereto, and may be managed through separate DBs. In addition, the present embodiment has been described as an example of managing different information by classifying advertisers, creators, and users, but is not limited thereto. For example, the customer management unit 310 may register and integrate customers without distinction. When the advertiser, creator, and user access the commerce platform server 300 and log in, the customer management unit 310 checks whether the connected person is a customer, and when confirming that it is a customer, the accessed person is an advertiser, creator And an interface displayed on the advertiser terminal 100, the creator terminal 200, and the user terminal 400 to receive the corresponding service according to whether the user is a user.

The product management unit 320 is configured to store and manage the product registered by the advertiser and product information of the product registered by the advertiser through the advertiser terminal 100 in association with the product. For example, when an advertiser registers at least one product with the commerce platform server 200, the product management unit 320 assigns an identification number or code for each product and stores it in the product DB 30. At this time, based on the product information registered with the product, the category and the major category, the middle category, and the small category to which the product belongs are determined, and an identification number or code is assigned. Accordingly, a plurality of registered products can be databased by category and classification. The product information is metadata that is characteristic information including basic information of the product, the gender and age of the target customer of the product, the time and season of the product, the issue of the product, keywords related to the product, and the like. It may include. The product information is stored by matching the identification number or code of the product stored on the product DB (30).

The product management unit 320 is configured to expose the stored product list to the creator so that the creator can produce video content for the stored product, and when a specific product is selected from the creator and the corresponding video content is registered, the video content for the product It is configured to record and manage whether or not is registered and the number of video contents registered in the product. That is, a plurality of video contents may be registered in one product, and in exposing the product to the creator, the product may be classified and exposed according to whether the video content is registered or not. Accordingly, the creator may consider whether the video content is registered in the product and the number of registered video content in selecting a product for producing the video content.

The commerce platform system 1000 of the present embodiment is configured to collect big data about the product and provide the result of analysis (insight) to the creator in order to provide insight to the creator in producing video content for each product. Hereinafter, the big data collection unit 330 and the data analysis unit 340 will be described in detail with reference to FIGS. 3 and 4.

FIG. 3 is a block diagram illustrating a big data collection unit and a data analysis unit of the commerce platform server of FIG. 2. 4 is an exemplary view for explaining the analysis results of the data analysis unit.

2 and 3, the big data collection unit 330 is configured to collect the big data that is the basis of the analysis of the registered product, and the product including metadata that is basic information and characteristic information of the product It is configured to collect big data for each online medium (channel) based on information (Product INFO). The basic information of the product includes the product name / tag, category, product description text information, etc. of the product, and the meta data includes the gender, age, the time and season of the product, and the seasonality of the product. Issues, keywords related to the product, etc. are included. The product information may be registered together with product registration from an advertiser, and some of them may be obtained by referring to product information of similar products stored on the product DB 20.

The big data collection unit 330, for example, data on an online medium (channel) including various online communities such as various social media such as YouTube, Facebook, Instagram, Twitter, etc., products, for example products It is configured to collect data such as titles, tags, descriptions, likes / dislikes, views, subscriptions, and comments of numerous contents such as reviews, product usage descriptions, and product comparisons. For example, the big data collection unit 330 may collect data classified by online media (channel), and online media (channel) used by people around the world, such as YouTube, Facebook, and Instagram In the case of data, data can be collected separately by country or country. Accordingly, the analysis information of the big data can be provided to creators by channel or country for the product. Specifically, the big data collection unit 330 collects data requiring an account for each channel and a general collection module 331 for collecting data that does not require an account for each channel according to a method for collecting big data. It includes a customized collection module 335.

The general collection module 331 is configured to collect data on contents searched for each channel through keyword search based on the product information. For example, the general collection module 331 may collect data based on popular content among the searched contents. That is, the general collection module 331 is configured to collect public data that does not require an account for each channel (none_Account) by using a keyword search method in collecting data, and the collected data is the title of the retrieved content Includes data such as, tags, descriptions, likes / dislikes, views, subscriptions and comments. In addition, data such as content listing ranking searched by keyword, a string of comments, a trend of the number of views by content, and a response to a comment may be further included.

The customized collection module 335 is configured to collect data on content that is personally recommended in the corresponding channel based on the managed account for each channel. In each media (channel) such as YouTube, Facebook, and Instagram, if you continuously click, search, like, subscribe, etc. for a specific category, for example, cosmetics, through any logged-in account, cosmetics related to trends We are introducing a recommendation system to personally recommend content to the account. Therefore, by using the recommendation system, various accounts can be managed for each category. That is, the personalized collection module 335 determines the account (category) to which the product belongs based on the product information among the managed accounts (categories) for each channel, and data on contents that recommend personalized recommendations based on the account. It is configured to collect. For example, when the product belongs to a plurality of accounts (categories) in one channel, data may be collected by determining all the plurality of accounts (categories). That is, the personalized collection module 335 is configured to collect personalized data that requires an account for each channel (ON_Account) in collecting data, and the collected data is title, tag, description, and likes / of recommended contents No, it includes data such as views, subscriptions and comments. In addition, data such as a recommended content listing ranking, a string of comments, a trend of views by content, a response to comments, etc., and recommendation content keywords provided for each channel may be further included. In addition to the general collection module 331, the big data collection unit 330 of this embodiment includes a customized collection module that collects data based on accounts managed in the commerce platform system 1000, thereby analyzing big data. As a result, more effective results can be obtained.

The big data collection unit 330 of the present embodiment is divided into the general collection module 331 and the customized collection module 335 according to a method of collecting big data, and collects public data and personalized data, respectively. However, it is not limited to this. For example, the big data collection unit 330 may further include an integrated collection module for integrating and collecting public data and personalized data, and public data and personalization among data of contents collected through the integrated collection module In the case of data common to the data, weights may be assigned in the result analysis.

The data analysis unit 340 is configured to output an analysis result (insight) for a product by analyzing the big data collected by the big data collection unit 330. Specifically, the data analysis unit 340 includes an insight module 341 for each product and outputs the collected big data based on the public data and personalized data, and outputs insights analyzing big data associated with the product. It includes a category insight module 345 that outputs insight for the integrated category that analyzes big data for each category.

Referring to FIGS. 3 and 4, the product-specific insight module 341 outputs product insights analyzing big data associated with the product, so that the creator can set the production direction such as target setting in producing the video content of the product. Strategies to be established. For example, the product insight may include basic information of the product, content ranking / trend in the product or category to which the product belongs, content consumer sentiment, popularity ranking, popular keyword, personalized / soaring keyword, negative reaction content, etc. It may include. Referring to FIG. 4, an example of product insight for a mask pack having a product name of 'Carattica I'm VTOX' is shown. That is, in the product insight, information on a cosmetic / beauty category to which the product belongs and a mask pack, which is a sub-category, may be presented together, and analysis results and related contents may be presented for each item.

The category insight module 345 outputs a common insight that analyzes the big data collected for each category, and suggests a strategy for a creator to select a specific category and product and set a production direction when producing video content. do. For example, the common insight may include information such as overall popular content / ranking, popular content / ranking by product category, consumer reaction by category, and trend of interested content. Referring to FIG. 4, an example in which common insight is provided as part of the creator's my page is shown. That is, information is provided for each category in the common insight, and additionally, information about a category or content that the creator is interested in may be presented.

That is, the commerce platform system 1000 according to the present embodiment collects big data about the product and provides the result (insight) of the analysis to the creator in order to provide insight to the creator in producing video content for each product. By doing so, it is possible to induce a creator to produce video content in a direction that is suitable for a product-specific trend desired by a user.

Referring to FIG. 2 again, the insight management unit 350 stores and manages the product insight and the common insight output from the data analysis unit 340 in the insight DB 40, and selects the product from the creator In this case, it is configured to provide the product insight and the common insight to the creator. At this time, in the case of the product insight, it may be stored by matching the identification number or code of the product stored in the product DB (30).

For example, the collection and analysis of big data for the product made in the big data collection unit 330 and the data analysis unit 340 is when the product is registered from the advertiser or after the product is registered, the creator A may be started at a time when the product is selected to produce video content for the product. Or, alternatively, collection of big data starts at the time the product is registered and is performed regularly, and analysis of big data may be configured to occur at the time when the creator selects the product. In this case, based on the collection date of the big data, by comparing the trends of the data, predictable information, for example, changes or trends of trends, etc., can be additionally presented to the creator as insights.

On the other hand, there is a time gap between when the product is registered from the advertiser and when the creator selects the product, or when each creator selects the product when it is distributed by linking multiple video contents to the product. If there is a time gap, it is highly likely that the insight provided at the time the creator selects the product due to the time gap will not conform to the trend. In particular, in the case of product insight, it is inevitably more sensitive to trend changes due to its nature.

Therefore, the insight management unit 350 is configured to perform an update on the product insight at a predetermined time point, determine the rate of change of product insight before and after the update, and accumulate and store it in the insight DB 40. Here, the predetermined time point may be a time point at which the creator selects the product or a regular time point. In addition, the rate of change of the insight may be calculated based on the degree of coincidence of information provided by the insight or information that can be quantified among the information. Accordingly, the creator can be provided with product insights corresponding to the trend at the time when the product is selected.

In addition, when the update is regularly performed at a predetermined interval, the insight management unit 350 determines a rate of change for product insight compared to the predetermined interval for each product, so that the predetermined interval for updating is set differently for each product. Can be. For example, in the case of a product with a relatively fast trend change, such as a fashion or beauty product, the predetermined interval is set relatively short, and in the case of a product with a relatively slow trend change, such as a household appliance, the predetermined change is made. The interval can be set relatively long.

In addition, the insight management unit 350 may adjust the predetermined interval for each product by setting a reference change rate for updating the product insight and comparing the reference change rate with a change rate before and after updating the product insight. For example, the insight management unit 350 may adjust the predetermined interval based on the change rate relative to the reference change rate. For example, in the case of a specific product in which the reference rate of change is set to 10% and a predetermined interval for updating is set to one month (30 days), the rate of change before and after update is determined to be about 5%. You can re-adjust the predetermined interval for updates to one month to two months. Conversely, when the rate of change before and after the update is determined to be about 20%, a predetermined interval for updating the product may be adjusted from a month to about 15 days. Further, the adjustment of the predetermined interval may be made at every update. That is, the timing of the next update may be determined during the update. Accordingly, it is possible to efficiently update the product insight in accordance with the characteristics of each product, and also, because the predetermined interval for updating is adjustable, it is possible to flexibly update the insight even for a product having a trend change. You can do

Update of the product insight may be performed until the service (sale) for the product in the platform managed by the commerce platform server 300 is terminated, and the insight management unit 350, when the service ends It is configured to transmit the final product insight stored in the insight DB (40) to the advertiser terminal (100) for reference to future advertiser development. Alternatively, the insight management unit 350 may be configured to provide the latest product insight stored in the insight DB 40 at the request of the advertiser, even during service for the product.

When the video content management unit 360 registers the video content produced for the product selected by the creator to the commerce platform server 300, it matches the identification number or code of the product stored in the product DB 30, and the video It is configured to store and manage content in the video content DB (50). For example, the video content may be produced in various topics such as a testimonial of the product, a description of a method of use, or comparison with other products, and information on the subject may be input by the creator along with registration of the video content. Can be. Accordingly, when a plurality of video contents are registered for each product, it is possible to effectively classify the video data according to the subject and provide it to the user.

In addition, the video content registered from the creator may be configured to receive a check as to whether the content is appropriate from the advertiser who registered the product or the administrator of the commerce platform server 300. In this case, the video content management unit 360 discriminates whether the video content stored in the video content DB 50 is subject to inspection, if it is subject to inspection, whether it is before or after the inspection, and whether it is approved or not approved when the inspection is completed. It is configured to manage. For example, when the video content management unit 360 is subject to inspection, the video content management unit 360 notifies the inspection personnel and transmits the video content so that the inspection proceeds, and thereafter, the video content is approved by the inspection personnel Upon receiving the notification, the video content is determined to be the video content to be distributed, and when it is not approved, it is configured to notify the creator who registered the video content. Alternatively, unlike this, the image content management unit 360 utilizes deep learning-based object recognition technology to determine whether an image for the product is included in the image content, a time at which the product is exposed, and the like. Content inspection may be conducted.

The product / content exposure unit 370 is configured to distribute at least one video content stored in the video content DB 50 in association with the product and distribute it to a commerce platform. That is, at least one video content may be distributed to a commerce platform managed by the commerce platform server 300 in association with the product, and the distributed video content is configured to be exposed to a user through the user terminal 400. . In addition, the video content distributed on the commerce platform may be distributed to at least one other platform at the same time or at the same time by an affiliate service company or creator.

The manner in which the video content is linked to the product is determined by the nature of the platform to be distributed. For example, in the case of a platform where a product is sold, the video content is based on the interface displayed on the user terminal 400, and the video content is displayed on the screen in the form of a display advertisement that is distinguished from the product detail area including the payment of the product. Areas can be listed on the right, for example. Or, alternatively, it may be configured to expose only the video content for each product and click on the corresponding area in the form of an overlay advertisement in the video content to go to the payment window of the product.

In addition, when there are a plurality of video contents to be distributed in connection with the product, the video contents may be sequentially arranged in the order of number of views, comments, and likes based on the interface displayed on the user terminal 400, or the product It can be arranged by topic, such as the testimonial of, the description of how to use or comparison with other products.

In addition, the time when the video content is distributed to the commerce platform may be a time when the video content for the product is registered, for example, at least one or a specific number of video content is registered, it is required to inspect the video content If it does, it may be a time point when the corresponding video content is approved. Alternatively, it may be a point in time after a certain time has elapsed after the product is registered regardless of whether the video content is registered or approved. After being distributed on the platform, the video content that is additionally registered or approved is configured to be updated and added to the platform.

That is, the commerce platform system 1000 according to the present embodiment induces the creator to produce video content in a direction suitable for a product-specific trend desired by the user by providing insight to the creator, and also receives the produced video content. You can maximize the promotion of the product by distributing it in connection with the product.

The compensation amount calculation unit 380 is configured to analyze the sales contribution of the video content for the product to calculate the compensation amount to be provided to the creator who registered the video content. For example, the compensation amount calculation unit 380 sums up the general compensation amount calculated based on the exposure degree of the video content based on one video content and the contribution compensation amount calculated based on the sales contribution of the video content. It is configured to calculate the expected amount of compensation to be provided to the creator of the video content.

In the method of calculating the general compensation amount, the principle of calculating the compensation that is being performed on YouTube, African TV, Facebook, Instagram, etc. can be applied. For example, it can be calculated based on the video time (refresh rate), the cumulative viewing time of the video content, the number of views, the number of subscribers, and user participation (like / dislike / comment / share / favorite), etc. It can be based on the total number of views and total viewing time of all video contents distributed in connection with.

The contribution reward amount is for rewarding an incentive concept other than general reward for the video content viewed by the user who paid for the product, and is calculated separately from the general reward amount. For example, the compensation amount calculating unit 380 extracts information on the video content viewed by a user who has paid for each product based on payment information and viewing information of a user managed by the customer management unit 310. And, it is configured to calculate the contribution compensation amount based on the information. Additionally, the information may include information about a user's payment time, viewing time, and viewing time. For example, the video content that the user last watched just before payment is likely to have made the greatest contribution to the user's payment. Accordingly, the compensation amount calculating unit 380 may assign a weight when calculating the contribution compensation amount to the video content that the user viewed most recently within a predetermined time based on the user's payment time. In this case, the compensation amount calculating unit 380 extracts the information for each user who has paid for the product, sums the weights assigned based on the information for each video content, and provides the contribution compensation amount to be provided to the creator of the video content. Can be calculated. Or, unlike this, a function to directly go to the payment window of the product is added to all video contents distributed on the commerce platform through an in-video overlay method or a tag method, and the user moves to the payment window through the function to perform actual payment. If made, weight may be assigned to the corresponding image content by tracking the corresponding path.

The compensation amount calculating unit 380 may calculate a compensation amount for each video content, and calculate a final compensation amount to be provided to the creator by summing the compensation amount for the entire video content registered by the creator for each creator. For example, the final compensation amount may be calculated based on a predetermined period of time, such as monthly, quarterly, semi-annually, or annually, or calculated based on a period from the start of sales of the product to the end of sales. It may be.

That is, the commerce platform system 1000 of the present embodiment mediates the advertisement of the product between the advertiser and the creator, and analyzes the contribution of the creator's video content to the sales, so that compensation processing as advertising revenue can be made rationally. By doing so, it is possible to induce talented new creators into the system.

The reward processing unit 390, when the regular payment time to provide compensation to the creator arrives, to provide the final compensation amount calculated by the compensation amount calculation unit 380 for each creator in the form of cash compensation or a corresponding point reward It is composed. The points provided in the point rewards can be converted into various mileage points or points used in e-commerce, and can be configured to be cashable.

For example, the creator can choose between cash rewards and point rewards before the payment period. However, it is desirable to select cash compensation only when the final compensation amount is a certain amount or more. Cash rewards are performed through donation or donation, etc., and are provided to the financial account entered when registering the customer from the creator. Here, donations include appearances, and donations include donations or deposits.

In addition, in the case of cash compensation, the creator may confirm and receive some of the final compensation amount before the payment instruction, and the rest may be carried over to the next payment period. That is, in this case, when the payment time comes, the compensation processing unit 390 is configured to transfer the compensation amount determined by the creator to the financial account of the creator registered in advance by the appearance procedure.

Hereinafter, an operation process of the commerce platform server 300 according to an embodiment of the present invention will be described. 5 is a flowchart for explaining the operation of the commerce platform server of FIG. 2.

2 to 5, when the commerce platform server 300 registers product information from the advertiser terminal 100 and product information (Product INFO) of the product (S100), big data is based on the product information. Analyze, generate an analysis result (insight), and store and manage the insight for each product (S200). The product information is metadata that is characteristic information including basic information of the product, the gender and age of the target customer of the product, the time and season of the product, the issue of the product, keywords related to the product, and the like. It may include.

The commerce platform server 300 is configured to collect big data for each online medium (channel) based on product information (Product INFO) including meta data that is basic information and characteristic information of the product. For example, data on online media (channels), including various online communities such as YouTube, Facebook, Instagram, Twitter, etc., various online communities, such as product reviews, product descriptions, product comparisons It is configured to collect data such as titles, tags, descriptions, likes / dislikes, views, subscriptions, and comments of numerous contents.

Specifically, the commerce platform server 300 collects data on contents searched for each channel through keyword search based on the product information, and collects data for each product and manages each category based on the product information. It is configured to determine the category to which the product belongs, and to perform data collection for each category to collect data on content that is personally recommended based on the category.

That is, the commerce platform server 300 of the present embodiment includes data collection for contents recommended for each channel based on the category to which the product belongs, as well as data collection for the contents searched for by product, and thus is more useful in big data analysis. Valid results can be obtained.

In addition, the commerce platform server 300 is configured to provide a common insight for an integrated category based on a category, while providing product insight related to the corresponding product, based on the collected data. For example, the product insight may include basic information of the product, content ranking / trend in the product or category to which the product belongs, content consumer sentiment, popularity ranking, popular keyword, personalized / soaring keyword, negative reaction content, etc. In addition, the common insight may include information such as overall popular content / ranking, popular content / ranking by product category, consumer reaction by category, trend of interested content, and the like.

When the product is selected from the creator terminal 400, the commerce platform server 300 updates the stored insight or the insight for the selected product and provides it to the creator terminal (S300). In other words, the commerce platform server 300 according to the present embodiment collects big data about the product and provides the result of analysis (insight) to the creator in order to provide insight to the creator in producing video content for each product. By doing so, it is possible to induce a creator to produce video content in a direction that is suitable for a product-specific trend desired by a user.

Specifically, the commerce platform server 300 is configured to perform an update on the product insight at a predetermined time point and accumulate and store a change rate of product insight as a result of the update. Here, the predetermined time point may be a time point at which the creator selects the product or a regular time point. For example, when an update is performed at a regular time point, the commerce platform server 300 may set an interval between update time points for each product based on the characteristics of the product, and also update the product based on a rate of change when updating. You can re-adjust the interval between star update points. Accordingly, the creator can be provided with product insights corresponding to the trend at the time of selecting the product, and by re-adjusting the interval between update times, the product can flexibly update the product with a trend change.

The creator who received the insight produces video content based on the insight, and then, when the video content for the product is registered from the creator terminal 400, the commerce platform server 300 receives the video content. Is distributed in association with the product (S400).

The distributed video content is configured to be exposed to the user through the user terminal 400. That is, the commerce platform server 300 according to the present embodiment can maximize the promotion of the product by distributing the video content registered from the creator in association with the product.

In addition, the commerce platform server 300 analyzes the sales contribution of the video content for the product, calculates a compensation amount, and compensates the creator (S500). For example, the commerce platform server 300 sums up the general compensation amount calculated based on the exposure level of the video content based on one video content and the contribution compensation amount calculated based on the sales contribution of the video content. It is configured to calculate the expected amount of compensation to be provided to the creator of the video content.

Here, the general reward amount can be calculated based on the video time (play rate) of the video content, cumulative viewing time of the video, the number of views, number of subscribers, user participation (like / dislike / comment / favorite), etc. It can be based on the total number of views and total viewing time of all video contents distributed in connection with the product.

With respect to the contribution reward amount, the commerce platform server 300 extracts information on the video content viewed by the user who paid for the product based on the user's payment information and viewing information, and based on the information Contribution is configured to calculate the compensation amount. In addition, in calculating the contribution compensation amount, the commerce platform server 300 may assign a weight when calculating the contribution compensation amount to the most recently viewed video content of the user within a certain time from payment of the user. Alternatively, when a user clicks a banner or tag inserted in the video content to move to the payment window and the actual payment is made, the corresponding video content may be weighted by tracking the corresponding route.

That is, the commerce platform server 300 of the present embodiment mediates the advertisement of the product between the advertiser and the creator, and analyzes the contribution of the creator's video content to the sales, so that compensation processing as advertising revenue can be made rationally. By doing so, it is possible to induce talented new creators into the system.

Although described above with reference to preferred embodiments of the present invention, those skilled in the art or those skilled in the art will not depart from the spirit and technical scope of the present invention as set forth in the claims below. It will be understood that various modifications and changes may be made to the present invention within the scope.

10: network
20: Customer DB
30: Product DB
40: Insight DB
50: Video content DB
100: advertiser terminal
200: creator terminal
300: Commerce platform server
310: customer management department
311: Advertiser management module
313: Creator management module
315: user management module
320: product management department
330: Big data collection unit
331: general collection module
335: customized collection module
340: data analysis unit
341: Insight module by product
345: Category Insight module
350: Insight Management Department
360: video content management department
370: product / content exposed
380: compensation amount calculation unit
390: compensation processing unit
400: user terminal

Claims (7)

A commercial platform system including an advertiser terminal, a creator terminal, and a commerce platform server in which products input from the advertiser terminal are registered and image contents input from the creator terminal are registered,
The commerce platform server,
A data analysis unit configured to analyze big data collected based on the product information and generate insight as an analysis result when product information (Product INFO) of the product is registered together with the product registration from the advertiser terminal;
An insight management unit configured to store the insight generated by the data analysis unit and, when the product is selected from the creator terminal, update the insight or the insight stored for the product to be provided to the creator terminal;
A product / content exposure unit configured to distribute and distribute the video content to the corresponding product when the video content produced based on the insight is registered from the creator terminal; And
A commerce platform including a compensation amount calculation unit configured to analyze a sales contribution of the video content and calculate a compensation amount for compensation processing as advertising revenue to a creator who produced the video content when sales of the product are generated by a user's payment system. According to claim 1,
The commerce platform server further includes a big data collection unit that collects big data for each online channel based on the product information.
The big data collection unit,
A general collection module configured to collect public data on contents searched for each of the online channels through keyword search based on the product information; And
The personalization configured to determine a category to which the product belongs, based on the product information, among at least one or more categories managed for each online channel, and to collect personalization data for content that is personally recommended for each online channel based on the determined category Commerce platform system comprising a collection module. The method of claim 1 or 2,
The data analysis unit is a common for the integrated category that analyzes the product-specific insight module that outputs product insight that analyzes the big data associated with the product among the collected big data and the big data for each category including the collected big data. Commerce platform system comprising a category insight module for outputting the insight. The method of claim 3,
The insight management unit is a commerce platform system configured to perform an update on the product insight at a time when the product is selected from the creator terminal and calculate a rate of change between the product insight before the update and the product insight after the update. The method of claim 3,
The insight management unit is a commerce platform system configured to periodically update the product insight at predetermined intervals and calculate a rate of change between the product insight before the update and the product insight after the update. The method of claim 5,
The insight management unit, a commerce platform system configured to set the predetermined interval for each product based on the change rate. The method of claim 6,
The insight management unit, a commerce platform system configured to adjust the predetermined interval for each product by setting a reference change rate for updating the product insight and comparing the change rate before and after the update with the reference change rate.

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