KR101983103B1 - Method for providing customized information to machine industry through behavior pattern analysis - Google Patents

Abstract

Provided is a method for providing customized information on the machinery industry, which is performed by a server that receives a search word for a machine from a client connected through a network and provides a search result. According to an embodiment of the present invention, there is provided a method of providing customized information for a machinery industry, including generating logs based on the search word and a search result, filtering the logs by region, and a result for the regional machinery industry by the filtering. Deriving a value, predicting a regional trend for the machine industry based on the result value, and a terminal corresponding to the IP when there is an IP connected in an area having a result value in the predicted regional trend. Providing a customized web page for the machine information may include.

Description

METHOD FOR PROVIDING CUSTOMIZED INFORMATION TO MACHINE INDUSTRY THROUGH BEHAVIOR PATTERN ANALYSIS}

The present invention relates to a method of providing customized information for the machinery industry through behavior pattern analysis.

Currently, most domestic machinery companies operate offline and have not been registered online. Therefore, overseas buyers have difficulty in searching and purchasing machines manufactured and sold in Korea.

In addition, there was no way to guarantee the quality when overseas buyers buy used machinery sold in Korea.

In addition, there have been attempts to database the information of machine companies and machine products existing in Korea, but each type has a different format, making it difficult to input into the database.

In addition, the current system has a problem that it is difficult to predict the machine-related demand of overseas buyers.

In addition, in the case of the existing B2B site, since the seller and the buyer can simply search and confirm the information registered on the site, the seller cannot target marketing and the foreign buyer cannot provide personalized information.

The present invention for solving the above problems, provides a method of providing customized information for the machinery industry through the analysis of behavior patterns of the client.

Receiving an application for purchase of a used machine from a client connected through a network according to an embodiment of the present invention, the method executed in the server for the purchase of the used machine is a deposit of the down payment to the client in connection with the purchase application Requesting and confirming the deposit of the down payment, confirming the deposit of the down payment, selecting an expert for the used machine and sending a request for creating a checklist, receiving a checklist prepared by the selected specialist, Sending the checklist to the client and confirming the intention of continuing, if receiving a progress request from the client, entering into a contract for the used machine and depositing a down payment; And checking the balance deposit from the client, depositing the balance against the used machine and issuing an export certificate.

According to one embodiment, the product information for the used machine is provided to the client through the web page in the server, the purchase request may be performed from the client based on the product information provided in the web page.

According to one embodiment, the check list may include a check history of whether the used machine and the product information match, the condition for each item condition of the used machine.

In accordance with an embodiment of the present invention, a method for purchasing a used machine through a network may include: refunding a down payment for the used machine when receiving a stop request for progress from the client after the step of asking the intention of proceeding; It may further include.

According to an embodiment of the present disclosure, the expert may be selected based on a relevance score and a reliability score with the used machine among experts registered in advance in the server.

The method executed in the server for inputting the machine product information described in the website according to an embodiment of the present invention in the database step of receiving the online link address of the website, accessing the website of the link address to perform a crawl Collecting the machine product information, wherein the product information may be a model number, a product name, a product photograph, and a description of the machine product.

According to an embodiment of the present disclosure, the collecting of the machine product information may collect the model number by crawling a number, a model, and a serial keyword value of the website.

According to an embodiment of the present disclosure, in the collecting of the machine product information, the machine product name may be determined by combining a plurality of predetermined machine keywords after crawling the website to extract data.

According to an embodiment, the collecting of the machine product information may extract a product picture of the machine product by recognizing a dot and a pattern of the web page.

According to an embodiment, the details of the product may be obtained by extracting the contents of the lower part of the main picture except the content of the main picture.

According to an embodiment, when the product information is collected, the method may further include transmitting a confirmation message to an administrator based on the collected product information, and transmitting an error message to the manager if the product information is not collected. Can be.

According to an embodiment of the present invention, a system for receiving a search word from a client terminal through a network and displaying a search result for a corresponding device in a machine database includes a device corresponding to the search word and a device corresponding to the search word. A server that collects a component category of the component category, the components included in the component category, the attachment category of the apparatus, and the attachments included in the attachment category, from the apparatus database, and a mechanism corresponding to the search word on a first screen. And a client terminal displaying parts corresponding to the component category on a second screen and displaying attachments corresponding to the attachment category on a third screen.

According to an embodiment of the present disclosure, the server collects the mechanical product information by crawling by accessing a website including the information of the mechanical device, and storing the mechanical product information in the mechanical database.

According to one embodiment, the machine product information may be a model number, product name, product picture, product description of the machine product.

According to an embodiment of the present invention, a method that is performed by a server that receives a search word from a client terminal connected through a network and displays a search result for the corresponding device in a machine database on the client terminal corresponds to the search word. Collecting, by the apparatus database, a device category corresponding to the search term, a part category of the machine corresponding to the search word, parts corresponding to the part category, attachment categories of the machine unit, and attachments included in the attachment category. Configuring a web page to display a mechanical device corresponding to the first screen, display parts corresponding to the component category on a second screen, and display attachments corresponding to the attachment category on a third screen; and The web page It may comprise the step of transmitting to the client terminal.

According to an embodiment of the present invention, a trend prediction method for a machine industry performed by a server that receives a search word for a machine from a client connected through a network receives a search word from the client terminal and receives the search word from the client terminal. Collecting search results for the device, generating logs based on the collected search results, filtering the generated logs, deriving a result value for the machinery industry by the filtering, the result value And performing trend prediction for the machinery industry based on.

According to an embodiment of the present invention, before the performing the trend prediction, collecting a plurality of media for each country, performing keyword crawling for each of the collected media, and extracting economic information for each country. It may include.

According to an embodiment, the performing of the trend prediction may perform the trend prediction in consideration of both the result value of the filtering and the extracted economic information for each country.

According to an embodiment of the present disclosure, the filtering of the generated logs may include filtering the generated logs by a predetermined period, and deriving the result value may include filtering the resultant results for a period based on the filtered logs. Can be derived.

According to an embodiment, the filtering of the generated logs may filter the generated logs by region.

According to an embodiment of the present disclosure, the deriving of the result value may derive a regional result value for the machinery industry based on the filtered logs.

According to an embodiment of the present invention, a method of providing customized information for a machine industry performed by a server that receives a search term for a machine from a client connected through a network and provides a search result may include logs based on the search term and the search result. Generating, filtering the logs by region, deriving a result value for the regional machinery industry by the filtering, predicting a regional trend for the machinery industry based on the result value, and If there is an IP access from an area having a result value from the predicted regional trend, providing a web page including customized machine information for the terminal corresponding to the IP.

According to an embodiment, the generating of the logs may generate the logs based on the search word, the search result, and information on items selected by the client corresponding to the search result.

According to an embodiment of the present disclosure, the providing of the web page including the customized machine information may include providing a high demand in the region to the client terminal corresponding to the IP when there is a client terminal having an IP connected in the region having a result value. The information may be displayed at a higher level in the web page.

According to an embodiment of the present disclosure, the providing of the web page including the customized machine information may include a low demand in the region of the client terminal corresponding to the IP when there is a client terminal having an IP connected in the region having a result value. Branch information can be excluded from the web page.

According to an embodiment of the present invention, by actively providing customized machine industry information to overseas buyers, overseas buyers can search and utilize more accurate information in a short time, and foreign buyers can easily and conveniently based on the reliability of information search You can contact local machinery companies and increase their intention to purchase.

According to an embodiment of the present invention, through the analysis of the AI-based overseas buyer behavior pattern, the foreign buyer's search, keywords, categories, preferences, inquiry type, click trend analysis is analyzed in real time, and these data are analyzed by machine companies and products. In conjunction with this, overseas buyers are provided with customized product information, and machine sellers can target marketing.

According to an embodiment of the present invention, machine companies can be globally marketed with only a few minutes of time and effort required for existing offline marketing, and overseas marketing and export is possible through a system even without foreign sales professionals.

1 is a block diagram of a system according to an embodiment of the present invention.
2 relates to a method for purchasing agents of used machines through online according to an embodiment of the present invention.
Figure 3 relates to a method of purchasing agents of used machines through online in accordance with an embodiment of the present invention.
3 is a flowchart illustrating a process in which a client terminal withdraws a purchase in a method for purchasing a used machine through online according to an embodiment of the present invention.
4 is a flow chart of a database registration method of a machine product according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating an example of crawling a web page introducing a machine product according to an embodiment of the present invention.
6 is a flowchart illustrating a search method for a machine product according to an embodiment of the present invention.
7 is a view showing a search result screen for a mechanical apparatus according to an embodiment of the present invention.
8 illustrates a company search screen and a product search screen in a search result screen for a machine according to an embodiment of the present invention.
9 is a flowchart illustrating a method for predicting a machine industry trend according to an embodiment of the present invention.
FIG. 10 is a flowchart illustrating a method for providing user-specific information about a trend in the machinery industry according to an exemplary embodiment of the present invention.

As the invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description. However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The terms are only used to distinguish one component from another.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Hereinafter, various embodiments will be described in detail with reference to the accompanying drawings, and in the following description with reference to the accompanying drawings, the same or corresponding components will be given the same reference numerals and redundant description thereof will be omitted.

1 is a block diagram of a system according to an embodiment of the present invention. Referring to FIG. 1, the system 10 may include a client terminal 110 and a server 120, and the server 120 may include a database (database) server 122.

It is a matter of course that the components shown in FIG. 1 are not essential, so that a system having more or fewer components may be implemented. Hereinafter, each component will be described.

Each component of FIG. 1 is generally connected via a network. For example, as shown in FIG. 1, the client terminal 110 and the server 120 may be connected to each other through a network. Here, the network refers to a connection structure capable of exchanging information between each node, such as a plurality of terminals and servers 120, an example of such a network is a 3rd Generation Partnership Project (3GPP) network, LTE (Long) Term Evolution (WIMAX) Network, World Interoperability for Microwave Access (WIMAX) Network, Internet (Internet), Local Area Network (LAN), Wireless Local Area Network (WLAN), Wide Area Network (WAN), Personal Area Network (PAN), Bluetooth networks, Zigbee networks, Radio Frequency Identification (RFID) networks, etc. may be included, but is not limited thereto.

The client terminal 110 may be a communication means connectable to a network such as a desktop computer, a notebook computer, a smartphone, a tablet PC, and the like. The client terminal 110 is connected with the server 120 via a network.

The server 120 according to an embodiment of the present invention may receive a purchase request for used machines from a client connected through a network, and may substitute for the purchase of used machines. At this time, the product information for the used machine is provided to the client through the web page from the server 120, the client may apply for a purchase through the client terminal based on the product information provided from the web page.

The server 120 according to an embodiment of the present invention may input machine product information described in a website into a database. For example, the server 120 may receive the online link address of the website, access the website of the link address, and perform crawling to collect machine product information. In this case, the machine product information may be a model number, a product name, a product picture, a product description of the machine product. In addition, the mechanical product information may be information about a company producing the mechanical product.

The server 120 according to an embodiment of the present invention may receive a search word from the client terminal 110 through a network and provide a search result for the corresponding device in the machine database.

According to an embodiment of the present invention, the server 120 may include a mechanical device corresponding to a search word received from the client terminal 110 through a network, a component category of the mechanical device corresponding to the search word, components included in the component category, and a machine. Attachments included in the attachment category and the attachment category of the device may be collected and provided in the machinery database.

In this case, the client terminal 110 according to an embodiment of the present invention displays a mechanical device corresponding to a search word on a first screen, displays parts corresponding to the parts category on a second screen, and corresponds to the attachment category. Attachments may be displayed on the third screen.

In addition, the server 120 may receive a search word for a machine from a client terminal 110 connected through a network, and perform trend prediction for the machine industry.

In addition, the server 120 receives a search word for a machine from a client terminal 110 connected through a network, and can predict the trend of the machine industry by region, thereby providing customized information on the machine industry by region. Can provide.

2 is a flowchart illustrating a method for purchasing a used machine through online according to an embodiment.

2, the server 120 receives a purchase request for a specific used machine from the client terminal 110, and a method for purchasing the used machine instead is provided.

In step S201, the server 120 requests the deposit of the down payment to the client terminal in connection with the purchase application of the used machine and confirms the deposit of the down payment. When a purchase request for a particular used machine is received online from the client terminal 110 to the server 120, the server 120 requests a deposit to the client terminal 110 as a down payment of a part of the price of the device for the purchase request. can do. In this case, the reception may mean that the server 120 receives a purchase request for the used machine selected by the client terminal from the web page. At this time, after the deposit request, if the deposit is confirmed for the purchase, the server 120 performs the next step. At this time, the server 120 may send a portion of the down payment to the seller to reserve the used machine. In addition, the server 120 may contract with the seller conditionally. A conditional purchase contract is, for example, a contract to check a used machine and purchase it if there is no problem. If the machine is defective, the contract may be withdrawn.

In step S202, the server 120 selects an expert for a particular used machine received a purchase application. If you are an expert on a particular used machine, it means someone who has a knowledge of used machinery in the field and has the expertise to check the machine. For example, it may be divided into experts in machine tools, experts in molding machines, experts in agricultural machines, experts in medical devices, and the like. If the used machine received a purchase application is a medical device, the server 120 may preferentially select an expert on the medical device from a list of pre-stored experts. When there are a plurality of experts in the corresponding field, the server 120 may select one expert based on work relevance and performance from a list of experts held up to that time. For example, in the case of a purchase application for agricultural machinery, additional points may be granted to those who have professional qualifications for agricultural machinery or may be granted to those who have made a lot of purchases for agricultural machinery.

In addition, the server 120 may select an expert based on the reliability score. The reliability score may be, for example, a score that is evaluated based on the delivery date and the quality of the inspection work performed by the expert.

In addition, the server 120 may select the expert based on the relevance and reliability score with the used machine. For example, relevance scores and reliability scores with used machinery can be summed to select the highest rated specialist.

In step S203, the server 120 sends a checklist written by the expert to the client terminal 110 and confirms the intention of proceeding. The checklist is a pre-determined form that checks what you should check regarding the purchase of used machines. In this case, the checklist may be stored in a database in advance, and a different checklist may exist for each used machine field. Selected specialists can be provided with a checklist suitable for the machine. When the selected expert proceeds to the inspection of the used machine, all the items in the checklist are recorded, and the recorded checklist may be sent to the server 120 and received. The server 120 may confirm whether to continue the purchase of the used machine while sending the created checklist to the client terminal 110.

According to one embodiment of the invention, if there is a problem in the checklist, the system 10 may inform the client in various ways. For example, the comprehensive assessment results provided with the checklist may separately address the problems found in the checklist.

The client may determine the state of the used machine by using the checklist received through the client terminal 110 to determine whether to purchase.

In step S204, when the server 120 receives a purchase progress request for the used machine from the client terminal 110, the server 120 concludes a contract for the used machine and deposits a down payment to the seller. For example, if the client wants to continue purchasing the used machine, the client terminal 110 may transmit a progress request to the server 120. When the server 120 receives the progress request from the client terminal 110, the server 120 sends a down payment to the seller to confirm the transaction. At this time, if the purchase contract with the seller for the used machine is not yet concluded, the server 120 may formally conclude the purchase contract with the seller. At this time, the server 120 may inform the client terminal 110 that the contract for the used machine is concluded, and may request the deposit of the balance except for the down payment to the used machine.

In step S205, when the server 120 confirms the balance deposit for the used machine, the server 120 deposits the balance for the used machine and issues an export certificate.

3 is a flowchart illustrating a process in which a client terminal withdraws a purchase in a method for purchasing a used machine through online according to an embodiment.

Referring to FIG. 3, the server 120 may view a checklist provided to the client terminal 110 and the client terminal 110 may withdraw the purchase.

In step S301, the server 120 requests the client to deposit the down payment in connection with the purchase application of the used machine and confirms the deposit of the down payment. Since this step corresponds to S201 of FIG. 2, detailed description thereof will be omitted.

In step S302, the server 120 selects an expert for a particular used machine that has received a purchase application, and transmits a checklist preparation request. Since this step corresponds to S202 of FIG. 2, a detailed description thereof will be omitted.

In step S303, the server 120 receives the checklist written by the expert, sends the received checklist to the client terminal 110 and checks the intention of progress. Since this step corresponds to S203 of FIG. 2, detailed description thereof will be omitted.

In step S304, when the server 120 receives the ongoing request from the client, the server 120 notifies the seller not to purchase, and returns all or part of the amount deposited from the client to the client. For example, if a client checks a checklist and the used machine is defective or defective, you may not want to purchase it. In this case, the client may transmit a progress request to the server 120 through the client terminal 110. When the server 120 receives the ongoing request, the server 120 transmits a notification to the seller to cancel the purchase. The client may then transfer and return all or part of the down payment received initially. Through this process, the client can securely purchase the used machine.

4 is a flowchart of a method for inputting machine product information described in a website according to an embodiment of the present invention into a database.

In the method of registering a mechanical product database, it is important how to format the unstructured data. According to an embodiment of the present invention, tens of thousands of pieces of machine data can be organized into a single format through pattern analysis.

Referring to FIG. 4, as a method of inputting product information of a machine product existing online into a database, inputting an online link address of a website introducing a machine product, accessing a link address website and performing a crawl Collecting the product information of the machine product, the product information is presented a method characterized in that the model number, product name, product picture, description of the machine product.

In step 401, the server 120 receives an online link address of a website introducing the machine product. At this time, the web page about the mechanical product connected by the link may include the following information.

1. Model Number

2. Machine Product Name

3. Product photo (jpg, png, gif file)

4. Details (text and jpg, png, gif files)

In step 402, the server 120 accesses a web page linked to a link and performs a crawl. Crawling refers to the act of taking a web page as it is and extracting data from it. The items automatically input as machine product information to the database of the server 120 by crawling may be, for example, a model number of a machine product, a machine product name, a product picture, and details (text and jpg, png, gif file). . This is described in detail with reference to FIG. 5.

In step 403, the server 120 verifies whether the data extracted by the crawl is in a manner suitable for database input. For example, the system can check whether the data extracted by the crawl matches the company information.

According to an embodiment of the present invention, the server 120 may input the machine product information by dividing the data extracted after the crawl into a company database and a product database. An item of a company database registered in the server 120 according to an exemplary embodiment of the present invention may include basic information, detailed information, a logo, a keyword, a category, and the like.

In addition, the item of the product database registered in the server 120 according to an embodiment of the present invention may be composed of basic information, detailed information, photos, keywords, categories, and the like.

For example, the server 120 may check whether the data extracted by the crawl includes data matching each of a model number, a product name, a product photo, and details. In this case, if there is data that does not match any of the model number, product name, product picture, or details, or there is empty data, the server 120 may transmit an error or confirmation message to the administrator. For example, if all the pages are in a picture file, the crawler may not recognize the file, and the worker may manually upload data to the database through an alarm message of the server 120.

In step 404, the server inputs the data into the database as it is if the data matches the model number, product name, product picture, and details. If the format corresponding to one of the model number, product name, product picture, or detail is not satisfied, the server can obtain confirmation from the server administrator before the data is input into the database.

According to one embodiment of the present invention, the big data construction through the crawl described above is made, it is possible to easily and simply register the information of manufacturers such as machines, equipment or parts such as custom-made in the industry. This registered database makes it easy to search based on machine specifications.

5 is a diagram illustrating an example of a crawl for a web page introducing a machine product according to one embodiment.

According to one embodiment, the model number, machine product name, product picture, details (text and jpg, png, gif file) and the like may be automatically input to the database of the server 120 by crawling as machine product information. The following various methods can be used to automatically input machine product information of a web page into a database by crawling.

Referring to FIG. 5A, the model number "DPR-CI 4 / 6FP" of the mechanical product is shown in the first part 510 which is the upper part of the image. According to an embodiment, the model number of the machine product information may be extracted by crawling a number, a model, and a serial keyword value.

Also shown below is the machine product name "CENTRAL IMPRESSION FLEXOGRAPHIC PRINTING PRESS". According to an embodiment of the present disclosure, the machine product name in the machine product information may be determined by combining tens or thousands of machine keywords held in a database based on texts obtained through crawling.

Referring to FIG. 5A, a main picture of a machine product is shown in the second portion 520, which is an interruption of the image. According to an embodiment, the main picture may be extracted by recognizing a dot or a pattern of a picture or a picture in relation to a product picture recognition among machine product information. For example, the image of the contour may be extracted using crawling, the pattern may be recognized, and the main picture of the product may be extracted by comparing with the images of machine products registered in advance.

Referring to FIG. 5A, details of the machine product are shown in the third portion 520, which is the bottom of the image. The details may include various information about the corresponding mechanical product, for example, an installation method, a driving method, an image or text such as a sample produced using the mechanical product. According to an embodiment of the present disclosure, details of the product of the mechanical product information may be extracted by bringing the contents of the bottom except for the contents of the main photograph extracted from the above.

Referring to FIG. 5 (b), a web page generated by using model information, machine name, main picture, and details of the extracted machine product is shown. Through the web page generated based on such information, the client terminal 110 can easily grasp the product information. Furthermore, it is possible to facilitate the client's convenience by adding a purchase request for the product on the web page, adding the product as an item of interest, and contacting the company.

6 is a flowchart illustrating a search method for a machine product according to an embodiment.

Referring to FIG. 6, a method of receiving a search word and displaying a search result for a corresponding device in a predetermined machine database according to an embodiment is shown.

In operation S601, the server 120 may include a mechanism database corresponding to a mechanism corresponding to a search term, a part category of a machine corresponding to a search term, parts corresponding to a part category, an attachment category of an apparatus and an attachment category. Collect from.

In operation S602, the server 120 displays a mechanism corresponding to the search word on a first screen, displays parts corresponding to a part category on a second screen, and displays attachments corresponding to an attachment category on a third screen. Create a web page.

It will be apparent to those skilled in the art that the order in which the 1 screen, the 2 screen, and the 3 screen are displayed according to the setting can be changed according to the embodiment.

Although not shown in FIG. 6, the server may transmit the generated web page to the client terminal.

7 is a diagram illustrating a search result screen for a mechanical apparatus, according to an exemplary embodiment.

Referring to FIG. 7A, a related search word of a search word is displayed below a search result for a search word.

For example, when an excavator is entered as a search term, the related search term may be Hyundai, Doosan, etc., a company that manufactures excavators. In addition, a caterpillar that is a part of an excavator may be displayed as a related search term. These related searches can be databased by the administrator in advance. That is, the related search word may be an associated search word selected by an administrator. Such associative search words may also be recommended by algorithms of the system. For example, the related search word may be the most searched word after a specific search word is searched.

In addition, the subordinate and connecting categories of the excavator can be displayed. As an example of a subcategory, a part category may be displayed. The part category of the excavator can be, for example, a cylinder, a chain, a cover, a motor or the like. As an example of the connection category, an attachment category may be displayed.

In addition, referring to FIG. 7A, the apparatuses corresponding to the search word are displayed on the screen below the relevant search word.

Referring to FIG. 7B, in addition to a related search term and a mechanical device corresponding to a search word, a screen showing a part category of a mechanical device corresponding to a search word and corresponding parts may be displayed. For example, HEC excavator motors, excavator chains, and the like that are part of an excavator can be displayed.

Although not shown in FIG. 7, an attachment category corresponding to a search word may be displayed. For example, attachment categories of excavators may include breakers, quick couplers, hammers, and the like.

This categorization can be performed directly by the server administrator. For example, a server administrator can directly classify categories into small categories and store them in a database.

According to an embodiment of the present invention, the classification for the category is shown in the search results, and the machine manufacturer or the specification may be searched at the same time. This makes it possible to search for machine categories, manufacturers and specifications.

This search makes it easy and convenient for foreign buyers to search for machinery, and the analysis time of synonyms, synonyms, and related terms can shorten the search time and improve the accuracy of the site.

According to an embodiment of the present invention, a customized category for a user may be provided. This is described with reference to FIG. 10.

8 illustrates an enterprise search screen and a product search screen in a search result screen for a machine according to an embodiment.

Referring to FIG. 8A, an enterprise search screen is shown in a search result screen for a machine according to an embodiment. In this case, a category corresponding to a company is shown among the categories corresponding to the search word. For example, in the enterprise mode when searching with an excavator, Hyundai Construction Equipment HAMMERS, J. Care Co., which manufactures an excavator, may be illustrated.

Referring to FIG. 8B, a product search screen of a search result screen for a mechanical apparatus according to an embodiment is illustrated. At this time, the category corresponding to the product is shown among the categories corresponding to the search word. For example, when searching by excavator, excavator parts, excavators, excavator buckets may be shown as categories.

9 is a flowchart illustrating a method for predicting a machine industry trend in a server receiving a search word for a machine according to an embodiment.

In operation 911, the server 120 may generate a log by using the website of the client terminal 110. In this case, the log may include a machine company search result by the client, a machine product search result, a result of selection after the search (for example, a machine category selection), a machine company contact type, and the like. In this case, the machine company contact type may be a method in which the client terminal accesses the seller or the server manager by an additional action. The machine vendor contact type may be e-mail, telephone, note, etc., for example.

In operation 912, the server 120 may filter the log generated by the client. In this case, log filtering may be performed by period (daily, weekly, monthly, quarterly, annually), region (by city, country, continent), and classification (buyer classification-manufacturing, distribution, service). For example, filtering by IP in Asia may be performed to find logs performed by users connected from Asia. In addition, filtering of search results and selection results for the past year is performed, so that information on search and selection performed by a user who has been connected for the past year can be checked. This allows you to identify search frequency and selection frequency for specific regions, specific time periods, and specific classifications.

In operation 913, the server 120 may derive a result value of the filtering. For example, the server 120 may find that more than 80% of visitors to Maharashtra in India search for construction machinery in August 2017, and as a result, domestic construction and construction machinery in Maharashtra region, India. You can find the statistical result of finding a lot of parts. In addition, by filtering the search results and selection results, the server 120 can find out that more than 70% of the local visitors search for medical devices, and in August 2017, many domestic used medical devices are searched for in Vietnam. Statistical results can be found.

In operation 921, the server 120 may collect a plurality of media. In this case, the plurality of media may be collected for each country or may be collected for each region.

In operation 922, the server 120 may perform keyword crawling on the collected media to extract data from the plurality of media. In this case, the data may be information that affects the demand of the mechanical device such as economic information. In this case, the media may mean all media including texts such as newspapers and magazines. For example, the server 120 may crawl an economic newspaper or an economic magazine, extract text, and perform keyword crawling for a corresponding industry. For example, the server 120 may extract information that the state has invested 10 trillion won in building the Maharashtra regional infrastructure in August 2017. Alternatively, the server 120 may extract information that the medical expenditure per capita increased as the income level of Vietnam increased in August 2017.

In operation 930, the server 120 may perform a trend prediction by combining the result value of the filtering obtained in operation 913 and the economic information extracted in operation 922. For example, the server 120 is investing 10 trillion won in the state infrastructure construction in India's Maharashtra region, and the Maharashtra region visitor because the search results of construction machinery sold domestically in Maharashtra region are high. Predict future machinery industry trends.

This enables more accurate analysis than the analysis based on the result obtained in step 913. In this case, the server 120 may visualize the analysis data and analyze and predict behavior patterns of the clients based on the analysis data. For example, the server 120 may provide a visualization service for integrated analysis data. In addition, the server 120 may provide analysis data specialized for each company, institution, association, and region in real time online. For example, India can search for a lot of machine tools and extract data that Bangladesh is searching for soft packaging machines.

Through such analytical data, big data about the machinery industry can be built. In order to build big data, massive data and various technologies should be combined. The server 120 according to an embodiment of the present invention is based on the architecture of the big data integrated analysis system optimized based on IBM's BLUEMIX. It can be built in conjunction with the database of (120). All analysis data can be analyzed based on IBM Bluemix's machine learning and data mining technology. This technique allows you to customize the desired data result values for your items.

In addition, through such analytical data, a big data dashboard that can collectively manage all data through the behavior pattern analysis of foreign users can be developed. Through this, the system 10 according to an embodiment of the present invention can identify the global machine buyer's trend as well as the information of the Korean machine industry, so that the macroscopic information on the Korean machine industry can be confirmed in real time online.

Eventually, the system 10 can produce various results by analyzing behavior patterns of “when, where, who, what, how, why” of searching and purchasing domestic machines.

For example: ① Analysis of the number of visits by country and city of overseas users ② Analysis of category interests of foreign users ③ Analysis of interests of domestic machinery companies of overseas users ④ Analysis of product interests of overseas users ⑤ Specific analysis by group ⑥ Analysis records based on data mining technology. Real-time measurement value. ⑦ Recommended algorithm / pattern analysis number. Real-time measurement value.

The data accumulated through the behavior analysis of overseas buyers are constructed as big data, so it is possible to grasp the trend of overseas buyers in real time, and in the macro framework, it is possible to grasp all information related to the overseas export of machinery industry. At this time, based on the objective data produced, not only machinery companies, but also government agencies and industrial organizations can make systematic management and efficient policy decisions for the Korean machinery industry.

10 is a flowchart illustrating a method for providing user-specific customized information according to an exemplary embodiment.

Steps 1011 to 1030 are the same as the corresponding steps of FIG. 9, and thus description thereof is omitted.

In step 1040, the server 120 according to an embodiment of the present invention may provide customized machine information for the user.

For example, the server 120 may provide customized machine information based on the analysis data and the analyzed behavior pattern. For example, if there is a client terminal having an IP connected in a region having a predicted result in a trend, information on machine trends with high demand in the region may be preferentially displayed on a screen viewed from the client terminal having the corresponding IP. Can be.

Although not shown in FIG. 10, the server 120 according to an embodiment may provide a webpage having a category and a product page suitable for a user.

If the product and seller information set in the database structure are displayed as it is when searching / selecting a category, foreign buyers should see unnecessary information. As a result, unnecessary clickthrough rates and search times can be relatively high. According to one embodiment of the present invention for solving such a problem, the seller and the product according to the category corresponding to the behavior pattern of the overseas buyer can be seen through the analysis of the behavior pattern of the overseas buyer. At this time, morphological analysis, data mining and machine learning based on semantic web ontology can be used to analyze behavior patterns of overseas buyers.

As a result, according to an embodiment of the present invention, since the customized products and seller information according to the customized category are shown, foreign buyers can check more accurate information in a short time, and this also increases the reliability of the site.

In addition, according to an embodiment of the present invention, it is possible to exclude a specific category through the analysis of behavior patterns of overseas buyers. For example, the server 120 analyzes various behavior patterns of overseas buyers on the main page provided to the client terminal 110 to analyze the category values according to the type, preference, and search frequency of the overseas buyers so that only the necessary categories can be viewed. Can be set.

Through this, overseas buyers can concentrate on searching and selecting information, increasing the reconnection rate and reducing the bounce rate so that they can check as much information as possible on the site.

In addition, the exposure of companies and products can be increased by providing customized information according to the analysis of behavior patterns of buyers around the world.

The system or device or server according to the above various embodiments may include a processor, a memory for storing and executing program data, a permanent storage such as a disk drive, a user interface device such as a touch panel, a key, a button, and the like. It may include.

Methods implemented with a software module or algorithm may be stored on a computer readable storage medium as computer readable code or program instructions executable on the processor. The computer-readable recording medium may be a magnetic storage medium (eg, read-only memory (ROM), random-access memory (RAM), floppy disk, hard disk, etc.) and an optical reading medium (eg, CD-ROM). ) And DVD (Digital Versatile Disc). The computer readable storage medium is distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. The medium is readable by the computer and can be executed in the processor.

All documents, including publications, patent applications, patents, and the like, cited in the present invention, may be incorporated in the same manner as each cited document individually and specifically merged, or as totally merged in.

For the purpose of understanding the present invention, reference numerals have been set forth in the preferred embodiments illustrated in the drawings, and specific terms are used to describe the embodiments of the present invention, but the present invention is not limited thereto. It may include all components conventionally conceivable to those skilled in the art.

The invention can be represented by functional block configurations and various processing steps. Such functional blocks may be implemented in various numbers of hardware or / and software configurations that perform particular functions. For example, the present invention is an integrated circuit configuration such as memory, processing, logic, look-up table, etc., capable of executing various functions by the control of one or more microprocessors or other control devices. You can employ them. Similar to the components that may be implemented as software programming or software elements, C, C ++, Java, including various algorithms implemented in combinations of data structures, processes, routines or other programming constructs. It may be implemented in a programming or scripting language such as an assembler. The functional aspects may be implemented with an algorithm running on one or more processors. In addition, the present invention may employ the prior art for electronic environment setting, signal processing, and / or data processing. Terms such as "mechanism", "element", "means", "configuration" can be used widely and are not limited to mechanical and physical configurations. The term may include the meaning of a series of routines of software in conjunction with a processor or the like.

Particular implementations described herein are examples and do not limit the scope of the present disclosure in any manner. For brevity of description, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection or connection members of the lines between the components shown in the drawings by way of example shows a functional connection and / or physical or circuit connections, in the actual device replaceable or additional various functional connections, physical It may be represented as a connection, or circuit connections. In addition, unless specifically mentioned, such as "essential", "important" may not be a necessary component for the application of.

In the specification (particularly in the claims) of the present invention, the use of the term “above” and the similar indicating term may be used in the singular and the plural. In addition, in the present invention, when the range is described, it includes the invention to which the individual values belonging to the range are applied (if not stated to the contrary), and each individual value constituting the range is described in the detailed description of the invention. Same as Finally, if there is no explicit order or contrary to the steps constituting the method according to the invention, the steps may be performed in a suitable order. It is not necessarily limited to the order of description of the above steps. The use of all examples or exemplary terminology (eg, etc.) in the present invention is merely for the purpose of describing in detail and is not to be limited in scope by the examples or exemplary term unless defined by the claims. In addition, one of ordinary skill in the art appreciates that various modifications, combinations and changes can be made depending on design conditions and factors within the scope of the appended claims or equivalents thereof.

Claims (4)

As a method for providing customized information on the machinery industry performed in a server that receives a search term for a machine from a client terminal connected through a network and provides a search result,
Receiving an online link address of a website at the server;
Accessing a website of the online link address and performing a crawl to collect machine product information including a model number, a product name, a product photograph, and details of the machine;
Verifying whether the machine product information extracted by crawling includes data matching each of the model number, the product name, the product photograph, and the details, and verifying whether the method is suitable for a machine product database;
If the machine product information is verified to be suitable for the machine product database, registering the collected machine product information in the machine product database,
Collecting the machine product information
The model number is collected by crawling the number, model, and serial keyword values of the website, the website is crawled to extract data, and then a plurality of predetermined machine keywords are combined to determine the product name of the machine product. Recognizes the dots and patterns of web pages within the website, compares the images of the machine products with which they are registered, extracts the product photos of the machine products, excludes the contents of the product photos, and the contents of the bottom of the product photos. Extract to determine the details of the product,
The registering of the collected mechanical product information in the database registers the mechanical product information by dividing the extracted data after crawling into the company information and the machine product information, and the items of the company information include the basic information of the company and the detailed company information. , A business logo, a business keyword, a business category, and the item of the mechanical product information further include a product category,
The customized information providing method,
Receiving a search word from the client terminal and collecting a search result for a machine corresponding to the search word in the machine database;
Generating logs based on the search word and the search result;
Filtering the logs by region;
Deriving a result value for the machinery industry by region by the filtering;
Predicting regional trends for the machinery industry based on the results; And
If there is an IP connected in the region having a result value from the predicted regional trends, further comprising the step of providing a web page containing the customized machine information for the client terminal corresponding to the IP,
The generating of the logs may include generating the logs based on the search word, the search result, and information on items selected by the client terminal in response to the search result,
Providing the web page in which the customized machine information is described includes information on a machine having a higher demand than a predetermined criterion in the region in a client terminal corresponding to the IP when there is an IP connected in an area having a result value. To display at a higher level in the web page, and to exclude the information on the machine device having a low demand in the region to the client terminal corresponding to the IP from the web page,
How to provide customized information about the machinery industry.
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