KR20240021616A - Intellectual property data platform - Google Patents

Abstract

The intellectual property data platform of the present invention includes a big data analysis unit that collects and analyzes information on platform users; And an advertising system that provides corporate advertising information corresponding to the keywords extracted from the big data analysis unit. The big data analysis unit includes search information searched by the user within the platform, file information uploaded to the platform by the user, and By analyzing the voice information used within the platform, at least two result keywords can be produced.

Description

Intellectual Property Data Platform{INTELLECTUAL PROPERTY DATA PLATFORM}

The present invention relates to an intellectual property data platform, and more specifically, a big data-based company that can match advertisements for business-related services and products needed by small and medium-sized customers, including startups and prospective entrepreneurs, who are interested in intellectual property rights. It is about an intellectual property data platform to provide an advertising system.

Generally, intellectual property rights include patent rights, trademark rights, and design rights.

The above-mentioned data on intellectual property rights (hereinafter referred to as “intellectual property rights data”) can be provided through various channels and can be used for schedule search, prior art search, and reports.

Currently, schedule searches and prior art searches for intellectual property rights data are conducted at the level of keyword searches using standardized raw data, and reports of search results are generated by reprocessing the search results.

Intellectual property data needs to be collected and loaded from a wide range of intellectual property data sources.

Additionally, there is a need to develop various services using intellectual property data. For example, it is necessary to process intellectual property data collected in various ways based on natural language search, and the development of various services that can use the processed intellectual property data is necessary.

KR Publication 10-2007-0118352 (Applicant: Dubin Co., Ltd., Name: Intellectual property rights information collection and classification method and system) KR Registration 10-1839932 (Applicant: Goss Design Co., Ltd., Name: Method of providing patent commercialization services)

The purpose of the present invention is to provide an intellectual property data platform that can provide automated search and intellectual property management services for users.

Another object of the present invention is to provide an intellectual property data platform capable of providing automated intellectual property management services.

Another purpose of the present invention is to process intellectual property rights data collected in various ways based on natural language search, and to provide users with detailed information on intellectual property prior art trends and legal representatives (patent attorneys) using the processed intellectual property rights data. The goal is to provide an intellectual property data platform that can implement services that can be implemented.

Another purpose of this outbreak is to provide an intellectual property platform that updates intellectual property trends and patent attorney details corresponding to the user's technical field in real time.

Another purpose of the present invention is to provide an intellectual property data platform that can provide user-tailored advertising content by analyzing the user's search information, uploaded file information, and voice information.

The intellectual property data platform of the present invention includes a big data analysis unit that collects and analyzes information on platform users; It includes; an advertising system that provides corporate advertising information corresponding to the keywords extracted from the big data analysis unit, wherein the big data analysis unit includes search information searched by the user within the platform, file information uploaded by the user to the platform, user By analyzing the voice information used within the platform, at least two result keywords can be produced.

The advertising system provides advertising exposure by selecting advertising setting keywords corresponding to keywords as a result of the big data analysis information.

The advertising system may include an advertising banner on the platform main screen, exposure of the advertiser's advertising level ranking, advertising within a customized user's my page, and user push advertising.

The platform main screen advertisement banner is a banner area divided by the advertisement layout of the platform's web or app, and the advertisements exposed on the platform main screen advertisement banner are customized to the user and are based on advertisements analyzed from the big data analysis department of the intellectual property data platform. Depending on the keyword results, up to 5 or 10 advertising contents may be randomly exposed.

The advertisement in the user's my page is a banner area divided into a pop-up or banner layout within the platform's web or app's my page, and the advertisement in the user's my page is an advertisement that is customized to the user and analyzed by the big data analysis department of the intellectual property data platform. Depending on the standard keyword results, up to 5 or 10 advertising contents may be randomly exposed.

The user push advertisement is a form of advertising that is exposed to platform users through a push, and is provided in the form of a pop-up, message, or image through push according to a specific time or platform administrator settings. Additionally, user push advertisements may be provided in voice form. Additionally, user push advertisements may be selectively displayed depending on the advertiser's rating. The user push advertisement may be customized to the user and selectively provided either randomly or by advertiser level according to the advertisement standard keyword results analyzed by the big data analysis unit of the intellectual property data platform.

The advertisement grade ranking exposure may set the advertisement exposure time and ranking displayed to platform users according to the advertiser's grade. The advertising grade ranking exposure may include a location setting where the exposed location is set, and a time adjustment function to adjust the exposure time. The advertising grade ranking exposure may be set to a specific time period. The advertising grade ranking exposure may include features that are differentiated from general advertising content. For example, the advertising level ranking exposure may consist of at least two stages. Additionally, the advertising level ranking exposure may include a video if it is a premium level.

The intellectual property data platform of the present invention further includes an advertising provider management system provided to advertising providers. The advertisement provider management system can set various advertisement types according to the advertisement provider's selection.

The advertising provider management system includes an advertisement result page such as a theme selection unit for each advertisement category, a user-centered advertisement information selection unit, an advertisement period and advertisement grade selection unit, and exposure.

The theme selection unit for each advertisement category may select at least two keywords.

The user-centered advertisement information selection unit may reflect the user keyword ranking provided from the big data analysis unit. The user-centered advertising information selection unit can be selected by matching the user keyword ranking list for the past year or the past month. The user-centered advertising information selection unit can be set at a premium level, and in the case of three or more levels, it can be changed according to the administrator settings of the intellectual property data platform.

The advertisement period and advertisement grade selection unit can set the advertisement period of the advertisement provider and also set the advertisement grade.

On the advertising results page, such as the above exposure, you can check the advertising data report according to the advertising provider's advertisement. For example, on the advertising results page such as the above exposure, you can check potential customer data such as the number of advertisement exposures and user advertisement selections by platform location by period.

The advertisement result page, such as the exposure, may include setting data of a theme selection unit for each advertisement category, a user-centered advertisement information selection unit, and an advertisement period and advertisement grade selection unit. For example, the advertising result page such as the above exposure can individually select a theme selection section for each advertisement category, a user-centered advertisement information selection section, and an advertisement period and advertisement grade selection section. A theme selection section for each advertisement category, a user-centered advertisement information selection section, You can check the history of the advertisement period and advertisement grade selection section.

The present invention can collect intellectual property rights data and store labeled text data in data storage (DS) through natural language processing and similarity estimation of the collected intellectual property rights data.

In addition, the present invention has the effect of processing intellectual property rights data collected in various ways based on natural language search and implementing a service that can provide reliable legal representative information, related technology trends, etc. using the processed intellectual property rights data. There is.

Additionally, the present invention has the effect of allowing users to easily obtain high-quality intellectual property legal representative information anytime, anywhere.

Additionally, other embodiments of the present invention can be provided for various OS environments such as web, app, or MS environments, and have the advantage of easily providing various information on intellectual property rights anytime, anywhere.

In other words, the present invention not only allows you to obtain detailed information from a reliable patent attorney anytime and anywhere, but also allows you to own high-quality intellectual property rights through a quick application for intellectual property rights through the provided patent attorney information.

Additionally, the present invention has the advantage of being able to easily handle difficult intellectual property issues and patent attorney appointments through a big data-based intellectual property platform.

In addition, the advertising provider management system of the present invention has the advantage of maximizing advertising efficiency by improving the accuracy of advertising targeting through various settings for the advertising provider's advertising and advertising using the big data analysis unit.

Additionally, the present invention can be provided for various OS environments such as web, app, or MS environments, and has the advantage of reducing advertising costs.

In other words, the present invention has the advantage of being able to easily carry out marketing targeting small and medium-sized businesses through a big data-based intellectual property data platform.

1 is a block diagram showing a preferred embodiment of the intellectual property data platform of the present invention.
Figure 2 is a block diagram showing another embodiment of the intellectual property data platform of Figure 1.
Figure 3 is a diagram illustrating another embodiment of the present invention.
Figure 4 is a diagram showing elements of a big data-based intellectual property rights data platform according to another embodiment of the present invention.

The intellectual property data platform of the present invention can be implemented by applying a method of processing data by applying a data classification algorithm through natural language processing and similarity estimation.

The intellectual property data platform of the present invention can collect intellectual property data from widely distributed intellectual property data sources and store labeled text data in data storage (DS) through natural language processing and similarity estimation of the collected intellectual property data. It is intended to implement services such as intellectual property schedule management, prior art search, and reports using stored text data.

To this end, the intellectual property data platform of the present invention can build a cloud-type big data clock that can collect, load, and analyze data, and can be equipped with processing modules and learning modules for handling intellectual property data. .

Referring to FIG. 1, an embodiment of the present invention can be illustrated as including an intellectual property data source 10 and an intellectual property data platform 20.

The intellectual property data source 10 may include a site capable of crawling patent information and a repository that provides patent information in the form of a specific document.

Patent information includes applicant, inventor, name of invention, application date, application number, publication date, publication number, registration date, registration number, abstract, technical field, representative claims, scope of claims, content of invention, effect of invention, patent classification, etc. It can be defined as containing text for each element.

And, a crawlable site refers to a site that has an Internet address, such as KIPRIS, and can collect patent information through crawling.

Additionally, the storage can be understood as a storage device that stores documents containing the above-described patent information at a designated physical address. At this time, documents containing patent information can be understood as electronic files such as word processor files or images in various formats such as *.HWP, *.DOC, *.PNG, and *.PDF, and may include applications, specifications, notices of submission of opinions, etc. Documents such as opinions, amendments, registration decisions, patent certificates, etc. may be applicable. Additionally, a storage device can be understood as a medium that can store electronic files, such as a server.

The intellectual property data platform 20 can collect intellectual property rights data and perform labeling of text data through natural language processing and similarity estimation of the collected intellectual property rights data. The intellectual property data platform 20 described above may include a data storage (DS) that stores labeled text data.

The configuration for the intellectual property data platform 20 to collect intellectual property data and store labeled text data in data storage (DS) through natural language processing and similarity estimation of the collected intellectual property data is described later with reference to FIG. 2. do.

First, in FIG. 1, the intellectual property data platform 20 includes the data storage (DS), the intellectual property data service unit 30, the user interface control unit 40, the schedule management interface 50, and the prior art search interface 60. ) and a report interface 70.

The user interface control unit 40 is an interface that controls the configuration of an interface for schedule management for a specific classification item selected by the user, prior art search for the technology selected by the user, and a report on information requested by the user. Can have control information.

The user interface control unit 40 can provide the above-described interface control information to the schedule management interface 50, the prior art search interface 60, and the report interface 70, respectively. The interface 60 and the report interface 70 can configure an interface to be provided to the user based on the corresponding interface information.

The user interface control unit 40 can configure an interface in a web, app, and MS environment, and can provide interface control information to configure the interface according to the user's terminal environment. At this time, the user's terminal can be understood as a computer or mobile terminal that can be accessed through wired or wireless Internet for schedule management, prior art search, and reports.

The intellectual property data service department 30 may provide a schedule search function, prior art search function, and report function. Here, the schedule search function can be understood as searching the data storage (DS) for schedule information for the classification item selected by the user and providing schedule search results as a result. Additionally, the prior art search function can be understood as searching the data storage (DS) for prior art search information in a range specified by the user and providing prior art search results as a result. Additionally, the report function can be understood as searching information for a report requested by the user from the data storage (DS) and providing report search results as a result.

The schedule management interface 50 provides a first interface for schedule management to the user's terminal by the user interface control unit 40, receives the user's selection of classification items and keyword input through the first interface, and provides schedule search results. It can be configured to provide. The first interface may be configured by interface control information provided by the user interface control unit 40.

The schedule management interface 50 may provide the classification items selected by the user and the keywords entered by the user to the intellectual property data service unit 30 through the first interface, and may provide the classification items selected by the user and the keywords entered by the user to the intellectual property data service unit 30. The results of the correspondingly performed schedule search function may be received, and the results may be provided to the user through the first interface.

The prior art search interface 60 provides a second interface for prior art search to the user's terminal by the user interface control unit 40, receives the range for the user's prior art search through the second interface, and receives the prior art search interface. It may be configured to provide search results. The second interface may be configured by interface control information provided by the user interface control unit 40.

The prior art search interface 60 can provide the range for prior art search input by the user to the intellectual property data service unit 30 through the second interface, and the prior art search interface 60 can provide the prior art search range entered by the user to the intellectual property data service unit 30. Technology search results may be received, and the results may be provided to the user through a second interface.

The report interface 70 provides a third interface for reports to the user's terminal by the user interface control unit 40, receives information for the user's report request through the third interface, and allows the user to set report search results. It can be configured to be provided in a form. The third interface may be configured by interface control information provided by the user interface control unit 40.

The report interface 70 can provide request information for a report entered by the user to the intellectual property data service unit 30 through a third interface, receive report search results corresponding to the requested information, and provide the results. 3 It can be provided to the user through an interface. At this time, the third interface may be configured to allow the user to select a form output for the report, and may provide report search results in the form selected by the user.

In order to provide services such as schedule management, prior art search, and report provision as described above, the intellectual property data platform 20 of the present invention provides data collection, text data processing, preprocessing similarity measurement, and similarity verification as shown in Figure 2. May contain parts.

Referring to Figure 2, the intellectual property data platform 20 is a pre-processing module that includes a data collection unit 100, a text data processing unit 110, a pre-processing unit 120, a text mining unit 130, and a morpheme analysis unit 140. ) may include.

The preprocessing module collects patent information from a preset intellectual property data source 10 and may be configured to perform preprocessing to process the collected patent information into text data for each preset element. At this time, preprocessing may include morphological analysis to perform tokenization for natural language processing of text data and text mining to extract meaning.

More specifically, the data collection unit 100 collects patent information from a site capable of crawling patent information and an intellectual property data source 10 that provides patent information in the form of a specific document, and processes the collected patent information into text data. It may be configured to be provided as part 110. Here, the data collection unit 100 may be configured to have a crawling function for crawling and may be configured to have a collection function for reading patent information from a preset repository.

The text data processing unit 110 separates the image and text of the patent information collected through the data collection unit 100, processes text data for parsing the text, and processes the processed text data into a preprocessor ( 120).

The text data processing unit 110 may receive electronic files such as word processor files or images in various formats such as *.HWP, *.DOC, *.PNG, and *.PDF from the data collection unit 100. Electronic files may correspond to documents such as applications, specifications, notices of submission of opinions, written opinions, amendments, registration decisions, patent certificates, etc.

The text data processing unit 110 separates images and text from patent information, can process text data converted into patent elements, and illustratively converts text data in the form of an image capable of recognizing text into a data preprocessor. It may be configured to parse at 120. At this time, patent elements can be divided into summary, claims, content of the invention, etc.

The pre-processing unit 120 performs morphological analysis of text data using the morphological analysis unit 140 and text mining of the text data using the text mining unit 130, thereby converting the pre-processed text data into the similarity measurement unit 160 of the similarity measurement module. ) can be configured to provide.

The above-described morpheme analysis unit 140 analyzes morphemes included in text data and may be configured to attach tags for classification to each analyzed morpheme. As a result, the morpheme analysis unit 140 can perform tokenization by morpheme analysis of text data.

Morphemes identify and classify roles in sentences and can be understood as parts of speech, such as nouns, verbs, and adjectives. By way of example, nouns may be classified in detail into common nouns, proper nouns, rhetorics, and pronouns, and verbs may be classified in detail as general verbs, auxiliary verbs, etc. Tags for distinguishing morphemes may be configured to have values to enable detailed distinction.

As an example, the sentence "process of attaching a tag" may be divided into morphemes as "process of attaching/attaching a tag", and a tag corresponding to detailed classification may be assigned to each morpheme.

Analyzing the morphemes of text data and attaching tags to distinguish them by morpheme can be understood as morpheme tokenization of text data. In other words, tokenized text data can be understood as a combination of texts classified by morpheme and tags that distinguish the morphemes.

Meanwhile, the text mining unit 130 is configured to perform text mining to extract meaning of text data through analysis of text included in tokenized text data.

The text mining unit 130 uses tokenized text data to extract meaning, and distinguishes the meaning of text data classified as natural language through morpheme classification.

In order to distinguish meaning, the text mining unit 130 may determine the importance based on the frequency of text divided into morphemes. In order to correctly distinguish morphemes, important words can be grouped together and their frequencies can be calculated for the entire sentence. This can be understood as corresponding to the word chunking. Examples of frequency-based word importance algorithms include FastText, GloVe, and Word2Vec.

The characteristics of words extracted in this way can be stored as keywords, and texts can be clustered using their patterns. And, for each cluster, the key concepts that define the text cluster can be established using the frequency count of the keywords. Also, by analyzing the relationships between clustered texts, correlations between keywords can be extracted.

The meaning of text data can be distinguished by the frequency of the above-mentioned keywords and the correlation between keywords.

Classifying the meaning of dext data as described above can be implemented in various ways depending on the intention of the creator, so examples of more specific methods are omitted.

Additionally, the intellectual property data platform 20 may include a similarity measurement unit 160 and a data training model 170 as a similarity measurement module.

The similarity measurement module has a data training model 170 through pre-training using text data. The data training model 170 refers to a model learned in advance with large amounts of unlabeled data.

The similarity measurement unit 160 measures similarity to preset classification items by labeling text data corresponding to the result of measuring meaning-based similarity through transfer learning using the data training model 170. It can be configured to do so. Here, the classification items include a plurality of patent classification sections for technology classification (e.g., IPC classification, CPC classification), classification items in the application (e.g., applicant, inventor, etc.), and classification items in the specification (e.g., applicant, inventor, etc.) Illustratively, one selected from the following (name, purpose, effect, summary, content of the invention, claims, etc.) can be used.

Additionally, the intellectual property data platform 20 may include a similarity verification unit 180 as a similarity verification module.

The similarity verification unit 180 may perform verification of the accuracy of labeling of text data.

The similarity verification unit 180 targets text data for diversity through statistical analysis, syntactic accuracy according to the measurement of syntactic accuracy of labeling data, semantic accuracy according to the measurement of semantic accuracy between source data and labeling data, and validity according to learning and performance tests. Can be configured to perform verification of labeling.

Additionally, the similarity verification unit 180 may be configured to feed back the verification results for fine tuning of the data training model 170.

As an example, the similarity verification unit 180 may be configured to perform feedback for fine tuning based on each patent element.

The data training model 170 can improve the accuracy of transfer learning through fine tuning, and the similarity measurement unit 160 uses the data training model 170 with improved transfer learning ability through fine tuning to provide more accurate results. Labeling of text data can be performed.

Meanwhile, the preprocessor 120 of the preprocessing module may generate a training data set for training the data training model 170, and for pre-learning, the training data set may be converted into a data training model 170 corresponding to the similarity measurement module. can be provided to.

The above-described intellectual property data platform 20 can be understood as an embodiment of the data processing method of the present invention.

An embodiment of the data processing method of the present invention includes collecting patent information from a preset intellectual property data source; Separating images and text of the collected patent information and processing text data to parse the text; Analyzing morphemes included in the text data, attaching tags for classification to each analyzed morpheme, and performing tokenization of the text data by the morpheme analysis; performing text mining to extract meaning of the text data through analysis of text included in the tokenized text data; providing the text data preprocessed by performing the morphological analysis and the text mining of the text data for similarity measurement; Classification items preset by labeling the text data corresponding to the result of measuring meaning-based similarity through transfer learning using a data training model by pre-training using the text data. Measuring similarity to; Verifying the accuracy of labeling of the text data and feeding back the verification results for fine tuning of the data training model; and storing the text data labeled by the measurement of similarity.

Illustratively, the intellectual property rights data platform 20 of the present invention collects an application or intellectual property rights notice (e.g., application number notice, opinion submission notice, registration decision notice, etc.) in the form of a specific electronic document from an intellectual property right data source as shown in FIG. ) can be received and stored in the form of an image file, or data such as intellectual property application information in the form of raw data from a specific site can be analyzed and collected. The intellectual property management platform of FIG. 3 corresponds to the intellectual property data platform 20 of the present invention.

The intellectual property data platform 20 of the present invention separates the images and text of the collected patent information, processes the text data to parse the text, and analyzes morphemes included in the processed text data. In addition, the intellectual property rights data platform 20 of the present invention performs text mining through text analysis after tokenizing text data by the morphological analysis, and preprocesses the text data by performing the morphological analysis and text mining. Labeling of text data can be performed and the labeled text data can be saved.

Therefore, the intellectual property data platform 20 can provide big data-based management information.

The above-described big data-based management information may be provided in various forms. As an example, the intellectual property data platform 20 provides corporate advertising-related information as shown in FIG. 3 through the schedule management interface 50 or the report interface 70. may also be provided.

FIG. 3 is a diagram illustrating another embodiment of the present invention, and FIG. 4 is a diagram showing elements of a big data-based intellectual property rights data platform according to another embodiment of the present invention.

The intellectual property data platform of FIG. 3 includes a platform advertising system 410 that collects and analyzes information on platform users 210 and provides corporate advertising information.

The platform user 210 can provide data such as searches, documents, and voices within an app or web-type platform. Therefore, the intellectual property data platform according to another embodiment of the present invention may include a function to provide advertisements corresponding to keywords with high similarity by analyzing data such as searches, documents, and voices collected from the platform users 210. You can.

The intellectual property data platform according to another embodiment of the present invention includes a big data analysis unit 310 that analyzes information of platform users 210.

The big data analysis unit 310 may include search information searched by the user within the platform, file information uploaded by the user to the platform, and voice information used by the user within the platform. Here, the file information uploaded to the platform by the user may include text, images, etc., and the text and images may be analyzed in the form of keywords or similarities as shown in FIGS. 1 and 2.

The big data analysis unit 310 produces at least two result keywords and stores them in the advertising standard database of the intellectual property data platform.

The intellectual property data platform according to another embodiment of the present invention can provide advertisements selected through the advertisement system 410 according to the results analyzed by the big data analysis unit 310, that is, the result keywords that serve as advertisement standards.

The advertising system 410 may suggest advertising content by selecting an advertising keyword corresponding to the result keyword.

The advertising system 410 selects the user-tailored advertising content according to the keyword results of the big data analysis unit 310, and randomly selects the advertising content by advertising level according to the advertiser's selection.

More specifically, the advertising system 410 may include an advertising banner on the platform main screen (411), an exposure of the advertiser's advertising level ranking (413), an advertisement in a customized user my page (415), a user push advertisement (417), etc. You can.

The platform main screen advertisement banner 411 displays advertisements through a banner area divided by the advertisement layout of the platform's web or app. At this time, the advertisement exposed on the advertisement banner 411 on the platform main screen is customized to the user and consists of within 5 or 10 advertisement contents according to the advertisement standard keyword results analyzed by the big data analysis unit 310 of the intellectual property data platform. may be exposed randomly.

The advertisement 415 in the user's my page is exposed through a banner area divided by a pop-up or banner layout within the platform's web or app's my page. At this time, the advertisement 415 in the user's my page is customized to the user, and within 5 or 10 advertisement contents are randomly displayed according to the advertisement standard keyword results analyzed by the big data analysis unit 310 of the intellectual property data platform. It can be.

The user push advertisement 417 is exposed to the platform user 210 through a push. For example, the user push advertisement 417 may be provided in the form of a pop-up, message, or image through push according to a specific time or platform administrator settings. Additionally, the user push advertisement 417 may be provided in voice form. Additionally, the user push advertisement 417 may be selectively exposed according to the advertiser's rating. The user push advertisement 417 may be customized to the user and selectively provided either randomly or by advertiser level according to the advertisement standard keyword results analyzed by the big data analysis unit 310 of the intellectual property data platform.

The advertisement grade ranking exposure 413 may set the advertisement exposure time and ranking displayed to the platform user 210 according to the advertiser's grade. The advertising grade ranking exposure 413 may include a location setting where the exposure location is set and a time adjustment function to adjust the exposure time. The advertising grade ranking exposure 413 may be set to a specific time period. The advertising grade ranking exposure 413 may include features that are differentiated from general advertising content. For example, the advertising level ranking exposure 413 may consist of at least two stages. Additionally, the advertisement grade ranking exposure 413 may include a video if it is a premium grade.

The intellectual property data platform of the present invention includes the big data-based advertising system 410, user search information, user uploaded file information, user voice information, etc. of the platform user 210 that is analyzed and set by the big data analysis unit 310. By providing customized advertising content based on keywords, you can have the advantage of more accurate advertising targeting.

In addition, the intellectual property data platform of the present invention allows small and medium-sized businesses, such as prospective entrepreneurs and startups, as the main platform users 210, to set advertising targets more clearly by selecting primary advertising targets. Therefore, corporate advertising related to startups or intellectual property can be more effective.

Referring to Figures 3 and 4, the intellectual property data platform of the present invention further includes an advertising provider management system 610 provided to the advertising provider 510. Here, the advertisement provider 510 refers to an advertiser who wishes to advertise to the platform user 210.

The advertisement provider management system 610 can set various advertisement types according to the selection of the advertisement provider 510.

The advertisement provider management system 610 includes a theme selection unit 611 for each advertisement category, a user-centered advertisement information selection unit 613, an advertisement period and advertisement grade selection unit 615, and an advertisement results page 617 such as exposure. do.

The theme selection unit 611 for each advertisement category can select a category desired by the advertisement provider 510. For example, the theme selection unit 611 for each advertisement category can select a desired keyword, and at least two keywords can be selected. The theme selection unit 611 for each advertisement category may be changed according to the selection of the advertisement provider 510.

The user-centered advertisement information selection unit 613 may reflect the user keyword ranking provided from the big data analysis unit 310. The user-centered advertising information selection unit 613 can select a user keyword ranking list for the past year or the past month by matching it. Therefore, the user-centered advertisement information selection unit 613 has the advantage of being able to advertise after confirming the user's keyword. The user-centered advertising information selection unit 613 can be set at a premium level, and in the case of three or more levels, it can be changed according to the administrator settings of the intellectual property data platform.

The advertisement period and advertisement grade selection unit 615 can set the advertisement period of the advertisement provider 510 and also set the advertisement grade.

The advertisement results page 617, including the exposure, allows you to check at a glance the advertisement data report according to the advertisement of the advertisement provider 510. For example, the advertising results page 617, such as the exposure, can check potential customer data such as the number of advertisement exposures and user advertisement selections by platform location by period.

The advertisement result page 617, such as the exposure, may include setting data of a theme selection unit 611 for each advertisement category, a user-centered advertisement information selection unit 613, and an advertisement period and advertisement grade selection unit 615. For example, the advertisement result page 617, such as the exposure, can individually select a theme selection unit 611 for each advertisement category, a user-centered advertisement information selection unit 613, and an advertisement period and advertisement grade selection unit 615. You can check the history of the category-specific theme selection unit 611, the user-centered advertisement information selection unit 613, and the advertisement period and advertisement grade selection unit 615.

Therefore, the advertising provider management system 610 of the present invention maximizes advertising efficiency by improving the accuracy of advertising targeting through various settings for the advertising of the advertising provider 510 and advertising using the big data analysis unit 310. There is an advantage...

Additionally, the present invention can be provided for various OS environments such as web, app, or MS environments, and has the advantage of reducing advertising costs.

In other words, the present invention has the advantage of being able to easily carry out marketing targeting small and medium-sized businesses through a big data-based intellectual property data platform.

Claims (5)

Big data analysis department that collects and analyzes information on platform users; and
It includes an advertising system that provides corporate advertising information corresponding to the keywords extracted from the big data analysis unit,
The big data analysis unit is an intellectual property data platform that produces at least two result keywords by analyzing search information searched by the user within the platform, file information uploaded by the user to the platform, and voice information used by the user within the platform.
According to claim 1,
The advertising system provides advertising exposure by selecting advertising setting keywords corresponding to the resulting keywords of the big data analysis information,
The advertising system is an intellectual property data platform that includes advertising banners on the platform's main screen, exposure of advertisers' advertising grade rankings, advertising within customized user my pages, and user push advertising.
According to clause 2,
The platform main screen advertisement banner is a banner area divided by the advertisement layout of the platform's web or app, and the advertisements exposed on the platform main screen advertisement banner are customized to the user and are based on advertisements analyzed from the big data analysis department of the intellectual property data platform. An intellectual property data platform where up to 5 or 10 advertising contents are randomly exposed according to keyword results.
According to clause 2,
The advertisement in the user's my page is a banner area divided into a pop-up or banner layout within the platform's web or app's my page, and the advertisement in the user's my page is an advertisement that is customized to the user and analyzed by the big data analysis department of the intellectual property data platform. An intellectual property data platform where up to 5 or 10 advertising contents are randomly exposed depending on the standard keyword results.
According to clause 2,
The user push advertisement is a form of advertising that is exposed to platform users through a push, and is provided in the form of a pop-up, message, or image through push according to a specific time or platform administrator settings. Additionally, user push advertisements may be provided in voice form. Additionally, user push advertisements may be selectively displayed depending on the advertiser's rating. The user push advertisement is an intellectual property data platform that is customized to the user and provided either randomly or selectively by advertiser level according to the advertisement standard keyword results analyzed from the big data analysis department of the intellectual property data platform.