KR20000012568A - Method for Assess of Individual Shopping Malls in Internet Shopping Intermediate Service - Google Patents

Abstract

PURPOSE: An internet shopping mall estimation method of internet shopping mall intermediation site is provided to use for data of internet shopping mall and prevent a surprise damage of bad internet shopping mall. CONSTITUTION: The internet shopping mall estimation method of internet shopping mall intermediation site comprises the steps of inputting satisfactions for internet shopping mall or claims by user, wherein satisfaction is quality, price, transportation and returning goods; processing an inputted item in statistically; estimating a grade of credit for internet shopping mall by a statistical data. And the steps of joining a damage insurance for purchased product by user; inputting a damage insurance process information for returning good or accident of delivery are insertable as a previous step or a next step for the step of inputting satisfactions for internet shopping mall or claims.

Description

Method for Assess of Individual Shopping Malls in Internet Shopping Intermediate Service}

The present invention relates to a method for evaluating the creditworthiness of each shopping mall in an internet shopping mall brokerage site in order to enable a user to safely purchase a product in an optimal purchasing condition.

With the rapid spread of the Internet, e-mail, newsgroups, file transfers, and information transmission and retrieval using the Internet are being utilized.The number of internet-connected networks and the number of Internet users have soared. Electronic Commerce is spreading rapidly.

Electronic commerce is a transaction in which all or part of a transaction of goods or services is processed by electronic means such as electronic document exchange. E-commerce is similar to commerce in the real world, where all entrepreneurs are involved. In the simplest case of e-commerce, a virtual mall that provides goods or services (hereinafter referred to as a "shopping mall"), a user who purchases goods or services in a shopping mall, or a virtual bank or credit card company engaged in a financial relationship to a product Etc. becomes the subject of a transaction in e-commerce. Looking at this process, first, the user connects to a virtual store through a terminal connected to the Internet such as a computer and performs shopping. When it finds a product that it wants to purchase, it sends a purchase intention to the shopping mall and provides a payment method such as a credit card number and a password. The shopping mall queries the virtual bank or credit card company for the credit card number and password presented by the customer and requests payment. When the virtual bank or credit card company pays the mall, the virtual store delivers the product to the customer to complete the purchase process.

As of September 1998, it is estimated that there are about 60,000 in the US and about 75,000 worldwide. There are more than 700 shopping malls in Korea, and about 100,000 items are handled here. It is calculated as above.

However, even though there are foundations for active purchase of products through the Internet, if you only shop at one shopping mall, you cannot search price information on other shopping malls that sell the same products you want to purchase. You can lose the opportunity to purchase at a price, and if a user purchases a product in several shopping malls, each member number and password management is inconvenient and must be provided to each shopping mall that deals with personal information. There is a possibility that sensitive personal information may be leaked or misused. In addition, if there is a defect in the purchased and delivered goods may not be properly compensated.

In conclusion, unlike the actual purchase pattern in which a user visits the store in person and sees the size of the company, the attitude of the store associates, or selects a vendor to buy the product based on the evaluation of the surroundings, ) Is relatively easy to build and it is difficult to get any data to evaluate the site operator itself, even if you visit the site. In other words, in an e-commerce transaction, the seller (shopping mall) may check the user's credit information in the process of paying the credit card, or may request a bankbook payment, etc. On the contrary, the user has almost no method of verifying the seller's credit information. In particular, since e-commerce is a purchasing activity performed in the virtual space of the Internet, users are more likely to be injured than in the real world.

In order to solve this problem, only the product information sold in each shopping mall is collected and provided to users so that the comparison shopping is possible, or the products are collectively collected in many existing shopping malls through a single membership registration. In general, Internet shopping brokerage service methods that increase added value by connecting consumers and sellers in between, such as internet shopping purchase agency services, which have been purchased, have been developed and utilized.

However, these brokerage services simply provide a user search service for product information (product name, price, URL of a shopping mall, etc.), or provide only a purchasing agent service, which may occur after an online transaction as described above. There is no data available to select a shopping mall with a credit to prevent possible application.

One object of the present invention is to solve the difficulty of personal information management by integrated management of the personal information of consumers, and to provide a method for protecting the e-commerce users from the leakage of personal information.

It is still another object of the present invention to provide a method of inducing a product purchase according to an optimal purchase condition by simultaneously collecting and comparing sales information about products in various shopping malls in real time.

Another object of the present invention is to provide a method of protecting the interests of consumers by providing a credit rating of each shopping mall to an e-commerce user.

1 is a block diagram of an embodiment of a schematic configuration of an Internet shopping user protection system to which the present invention is applied;

FIG. 2 is a flow chart of an embodiment of the member information management and order passage system of FIG. 1; FIG.

3 is a flow chart of an embodiment of the real-time product information search system of FIG.

4 is a flowchart illustrating an embodiment of the automatic insurance system of FIG.

5 is a flowchart illustrating an embodiment of the credit rating evaluation and purchase pattern analysis system of FIG.

In order to achieve the above object, the present invention is operated on a membership system, and in a general Internet shopping brokerage service having a database of goods and price information of each Internet shopping mall, (a) the user to the quality of each shopping mall Inputting satisfaction or complaints about price, delivery, returns and other service items; (b) performing statistical processing on the input items by type; (c) determining a credit rating of each shopping mall based on the statistical data; and providing an internet shopping mall evaluation method of an internet shopping brokerage site.

At this time, (d) registering a non-life insurance for the product purchased by the user who is a user; (e) inputting the non-life insurance processing information generated by the return or delivery accident for the purchase of the product for each shopping mall; is preferably added before or after the step (a).

In addition, the present invention to achieve the above object, (a) allowing the user to enter a satisfaction score for the quality, price, delivery, return and other service items for each shopping mall; (b) performing statistical processing on the input items by type; (c) determining a credit rating of each shopping mall based on the statistical data; and providing an internet shopping mall evaluation method of an internet shopping brokerage site.

In order to achieve the above object, the present invention, (a) searching for and inputting the company type, capital, sales, the number and type of trading products, other company information for each shopping mall; (b) statistically processing the company information by type; (c) determining a credit rating of each shopping mall based on the statistical data; and providing an internet shopping mall evaluation method of an internet shopping brokerage site.

The method of the present invention searches for and extracts goods and price information from a number of Internet shopping malls, displays them to the user, and gives the user a chance to select a product. It can be applied in a conventional internet shopping brokerage website operated in a manner.

The products searched and ordered on the internet shopping brokerage website are delivered to the users by using the logistics system in the shopping mall. At this time, if the purchased product is not delivered to the user, or if the damage, poor quality, lack of quantity, etc. occurs, the user can register in the complaint processing system by inputting a complaint or inconvenience to the shopping mall. In addition, even if a very satisfied service for a particular shopping mall is registered in the above system. The complaints / conveniences registered in this way are counted for each shopping mall and used as an evaluation grade of the shopping mall. The processed evaluation data is verified in real time when a user approaches the shopping mall to determine information about a bad shopping mall. It can be used as a basis. In this case, the credit rating display method may be applied to various methods such as displaying a number on the displayed part of the purchase item or displaying only when the user inquires the credit rating of the shopping mall.

On the other hand, since it may be inconvenient for the user to input the complaints in some cases, in some cases, the user may input the satisfaction level of the shopping mall where the product was purchased as a numerical value.

In addition, since the degree of credit or safety of the shopping mall is largely dependent on the nature of the person who operates the shopping mall, instead of receiving the user's evaluation as described above, the company type, capital, sales, number of trading products, and transaction type for each shopping mall The credit rating of shopping malls can be graded by searching and counting products and other company information.

In the present invention, credit evaluation is also possible by combining the above evaluation rations. In other words, it is possible to evaluate the credit rating of each shopping mall by simultaneously applying the user's complaint statistics and the company information statistics of the shopping mall.

Furthermore, the present invention automatically registers the non-life insurance for the product purchased by the user who is a user, and statistically processes the non-life insurance processing information generated by the return or delivery accident of the user's purchase of the product at each shopping mall, thereby providing the data of the shopping mall credit evaluation. It is also preferable to use as. In this case, users can be compensated for inadvertent damages by insurance, and can be protected directly and individually, and also indirectly and collectively by evaluating and ranking the superiority or coarseness of each shopping mall.

Apart from the above, Internet shopping intermediary website operating the method according to the present invention includes ① member information management and order path system that enables all shopping malls to be accessed once a new personal information input, ② real-time product information search system In addition, an automatic insurance processing system associated with the receipt of the complaint and a credit rating evaluation and purchase pattern analysis system may be additionally installed.

Hereinafter, a method of protecting a user in an internet shopping mediation website according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings represent an embodiment of the present invention, whereby the technical scope of the present invention is not reduced or changed, and those skilled in the art will be able to derive various modified embodiments within the scope of the present invention.

In the following description, for the sake of convenience, the member identification and registration steps are placed immediately after the user accesses the website for operating the method of the present invention. It is assumed that the member information management and order channel system, ② real-time product information retrieval system, ③ automatic insurance processing system linked to the complaint complaint, and ④ credit rating evaluation and purchase pattern analysis system are installed. It was. In addition, each Internet shopping mall and insurer is set up to be connected by a variety of networks and websites that operate the method of the present invention.

The embodiment based on the above assumptions and settings includes an internet shopping mall evaluation method of an internet shopping brokerage site, which is a technical idea of the present invention.

1 is a block diagram of a configuration of an entire system according to an embodiment of the present invention. The user 101 who wants to be protected in the Internet e-commerce is first registered as a member in the member information management system 104 by accessing the site 102 and inputting personal information. At this time, since the user registers the member ID and password, all future user personal information is operated by the member ID and password. A user registered as a member accesses a real-time product information search system 105 to search shopping mall information selling a product to be purchased. When the user inputs the desired product and clicks the search button (112), the real-time product information search system 105 collects and outputs the product information desired by the member in real time from various shopping mall sites, thereby allowing members to compare shopping (117). ). In this case, since the shopping mall credit rating established by the credit rating system 107 is transmitted to the user as the product information, the access to the bad shopping mall is prevented (123). Specifically, when the user approaches the bad shopping mall, the real-time product information search system may apply a method of outputting a user complaint list for the shopping mall together with a warning message (117).

When the user selects one of the details displayed by searching and displayed in the real-time product information search system 105, the user is connected to the shopping mall 103 selling the product. After the user checks the goods in the connected shopping mall 103, and puts them in the shopping cart 115, the shopping mall 103 performs the payment processing process according to the user's payment means. After the purchase information is automatically transferred to the order passage system 104 is stored (116). The order passage system 104 stores the purchase information of the user in a database and requests insurance from the automatic insurance processing system 106 at step 118.

The automatic insurance processing system 106 applies for non-life insurance to the non-life insurance company 108 based on the purchase information of the user (119), the non-life insurance company 108 approves this in real time (120). The approved non-life insurance policy is delivered to the user 101 through e-mail or stored in the member's personal information so that the user can access the member information management system 104 to search for the insurance policy (111).

On the other hand, the ordered goods are delivered to the user 101 through the distribution system built in each shopping mall 103 (141). If the user 101 wants to return, the product is returned to the shopping mall 103 by using the logistics system (142). At this time, if the purchased product is not delivered to the user 101, or damaged, poor quality or lack of quantity, the user 101 will be compensated by first objecting to the shopping mall 103, but the matter is received If not, the user 101 will claim insurance from the non-life insurance company 108 (144). The non-life insurance company 108 executes non-life insurance processing according to the terms and conditions (143). The material insured by the non-life insurance company 108 is transferred to the automatic insurance processing system 106 and stored (120). The non-life insurance processing data is utilized by the credit rating system 107 as evaluation data for shopping malls and members (122).

On the other hand, the user 101 can register the complaints about the shopping mall 103 or the discomfort itself in the damage insurance process itself or a score that is digitized in the automatic insurance processing / complaints receiving system 106. The complaints / conveniences registered in this way are counted and used as the evaluation grade of the shopping mall. Separately or simultaneously with this method, the company type, capital, sales, number of trading products and number of trading products, and other company information for each shopping mall may be searched and used as an evaluation grade of the shopping mall. The processed evaluation data is verified in real time when the user approaches the shopping mall to prevent access to the bad shopping mall (123).

Meanwhile, the credit rating / purchase pattern analysis system 107 uses association rule exploration method, which is one of data mining technologies, regarding the purchase information of the user 101. The association between the products or the desire to purchase products according to the user type) may be analyzed to provide information to the member shopping mall 103 (145).

2 is a flowchart illustrating an embodiment of the member information management / order passage system 104 in FIG. 1, wherein the user is registered as a new member in the system, and the member processing system 201 processes the same. When the user wants to access a shopping mall that wants to shop, the real-time shopping mall membership system 202 which determines whether a member is registered in the membership discriminator 200 and registers the user as a member to the shopping mall in real time when the user is a non-member. In addition, the member automatic logon system 203 for automatically logging on as a member to the shopping mall 103 where the user attempts to access the member who has been determined as a member or has completed the membership registration process, and if the customer information is changed, The member information change system 204, which can simultaneously modify and process the customer information of the existing shopping mall, and the information that the customer orders for the product in the shopping mall The house consists of ordering information log generation system (205) then log on order information database.

The member registration processing system 201 receives user information for registering as a user from the user 101, registers as a member and assigns an ID to the user registration process step 211, and the member information input by the user. And storing 212 in information database 261.

The real-time shopping mall subscription processing system 202 first, when a user who has reviewed the search result list clicks on a site to shop, if the user is not a member of the shopping mall, a document for membership registration through a document collector After collecting the HTML document for the member log (221), and extracted only the HTML form tag for membership through the CGI Form Extractor (222) from these documents (222), the requirements for membership in the form tag (223). At this time, since the subscription requirements may be different for each Internet shopping mall 103, the system specifies the standard requirements for membership in the Internet shopping mall, so that the standard membership requirements and other additional requirements for each shopping mall site are specified. Are processed separately, and additional information is re-entered from the user if necessary (224). The standard and additional information are used to prepare a Query document for membership, such as the information extracted in steps 222 and 223 (225). The created HTML document is encrypted at an appropriate level in the shopping mall and automatically transmitted to the shopping mall (226). The message returned from the shopping mall indicates whether the membership succeeds or fails through the message interpretation (227). In this case, if the ID of the message analysis result is duplicated, it is solved by retransmitting the document written as the substitute ID to the corresponding shopping mall (228). If the member registration is successful, the user's membership information, ID and password are stored together with the member information in the shopping mall member information database 262 (229) so that the user can log on automatically when the user tries to reconnect to the shopping mall in the future. Make sure

The member automatic logon system loads the ID and password of the shopping mall to be logged on from the shopping mall member information database 262 for the user who is determined to be a member of the shopping mall (231), and then creates a Query document for the member logon. (232) By automatically logging on to the shopping mall, the user can log on directly to the shopping mall as a member without entering a separate ID and password.

When the user changes personal information, the member information changing system 204 performs a function of automatically changing member information of a pre-registered shopping mall at the same time. That is, when the user wants to change a part of personal information, the user first searches for registered personal information and then changes and executes the modified information (241), and the contents are changed in the member information DB 261 (242). The personal information is generated and sent to the shopping mall in order to automatically change the personal information after searching the shopping mall that the user has previously registered as a member (243). When the shopping mall transmits a reply to the query, it is interpreted (244), and the member information is automatically changed and stored in the shopping mall member information DB 262 (245).

The order information log generation system 205 generates log information using an HTML document transmitted from an Internet shopping mall site after a user purchases a product. All documents transmitted from the Internet shopping mall to the user are transmitted to the user through the system, and when the document transmitted to the user is a payment document, only order payment information is extracted through the HTML tag analysis 251 (252), and the member information. The order information is stored together with the database 263 (253).

The order log information of the user is used as data for insurance processing, analysis of the user's propensity, and score management for the product purchased by the user.

3 is a flowchart illustrating an embodiment of the real-time product information retrieval system 105 of FIG. 1. Product information real-time search process, ① new shopping mall learning step (352) to learn the method of inputting a query to search for product information in the shopping mall site and the form of the search result in advance and store it in the knowledge base, ② Based on the rules for the existing shopping malls, a step 351 of searching for actual product information for each shopping mall and integrating the results into one is performed.

In step 352 of learning a new shopping mall, first, a URL (Uniform Resource Locator) of a new shopping mall not registered in the e-commerce user protection system of the present invention is input to the query model automatic generator (301). The query model automatic generator generates a query model suitable for this shopping mall by collecting HTML files for searching product information of a newly registered shopping mall using a web robot, and uses the test query to file the product information search results of this shopping mall. Save as (302). The product information search result automatic classifier determines the search result form by using the stored result file (303). When the search result thus obtained takes a structured form, the product information extraction position is learned through the structured learner (304). When the obtained result is a semi-structured form, the product information pattern is learned through the semi-structured learner (305). . Here, the structured form is a case where there is a name for each column in a manner of expressing the product information in the form of a mattress composed of rows and columns like the table form of a relational database, and the semi-structured form is divided into rows and columns as in the structured form. This refers to a method of expressing product information in a form in which a certain pattern is repeated without representing data. The product location information and the pattern information obtained through the learner are stored in the knowledge base 307 together with the query model obtained by the automatic query model generator (306).

After performing step 352, the method for executing a rule with respect to the learned existing shopping mall 351 is a query model for searching each shopping mall when a user requests a product information search for an internet shopping mall through the user interface 308. Is found in the knowledge base (309). At this time, the product information extraction rules of each shopping mall are also found to generate a query (310). The query processing agent drives the generated query and transmits the product information search result of each shopping mall to the result integrator together with the information extraction rule extracted from the knowledge base (311). Based on the collected product information search results and information extraction rules, the result integrator produces a single type of result and integrates it with the shopping mall evaluation information generated by the credit rating evaluation system in the e-commerce user protection system of FIG. 1 (312). Passing to the user through the user interface (308).

4 is a flowchart illustrating an embodiment of the automatic insurance processing / complaint receiving system 106 of FIG. 1, including: ① insurance insurance processing, insurance settlement, insurance subscription processing, etc. in connection with the non-life insurance company 108; The non-life insurer linkage system 401 for performing the work of the user, ② the user linkage system 402 for handling the complaints and inquiries of the non-life insurance in connection with the user 101, and ③ the link between the user and the non-life insurer It consists of an encryption processor 424 for solving hacking or security problems that can occur when sending and receiving messages.

Non-life insurance company linkage system 401 is an insurance insurance processor 405 for automatically processing the insurance insurance online through the non-life insurance company linked interface 403 for the reason for the insurance incurred by the user 101, and the non-life insurance company An insurance policy processor 406 which receives information on an insurance contract from 108 and automatically generates insurance policy 406 and stores it in the insurance information database 422 together with the user's member information. It is composed of an insurance settlement processor 407 that receives the processing history of the non-life insurance company for the user 101, such as payment of insurance premiums, and stores it in the insurance information database 422.

The user linkage system 404 loads the non-life insurance subscriptions automatically generated by the insurance policy issuer from the database, and automatically sends them to the user via e-mail. When the user accesses the insurance subscription information, the insurance inquiry processor 409 showing the user's non-life insurance subscription information and the user's complaint information about the shopping mall 103 are received and the user complaint information database 423 It consists of a user complaint processing processor 410 to store.

5 is a flowchart illustrating an embodiment of the credit rating / purchase pattern analysis system 107 of FIG. 1.

The shopping mall credit rating system 520 is a non-life insurance caused by the complaint type data obtained by statistical processing (521) of the complaints stored in the user complaint information database 423 by the return and delivery accident for the purchase of the user by each shopping mall. Based on the statistical data 522 of the processing data, the credit rating of the shopping mall is determined for the quality, price, delivery, return, and other service items of the shopping mall (523), and the shopping mall credit information database 561 is updated (524). .

The member credit rating system 530 reads the purchase information in which the member purchased the product through the system for a predetermined period from the order information database 263 (531), and calculates the utilization rate based on the number of orders of the member (532). ), Calculate the cumulative point score of the member's registered complaints (533), calculate the number of insurance coverage and amount data for the product purchased by the member over a period of time (534), and For insurance that has not been insured, the cumulative amount of non-life insurance refunds to be returned for each member is calculated in order to return the insurance return to the user, and the credit rating of the member is determined using the data (536). The member credit information database 562 is updated (537).

The shopping mall grading system 540 reads the order data for a certain period of time stored in the order information database 263 (541), the ranking of the popular shopping malls by product type (542), and the number of products based on the number of orders. It is processed by calculating the ranking of the number of sales (543), the sales ranking calculation by shopping mall based on the order amount of the member (544), the popular shopping mall ranking calculation (545) by the user age, the preferred shopping mall ranking calculation by region (546). The ranking of the shopping mall is stored in the shopping mall credit rating database 563 (547).

The order pattern analyzer 550 reads the data stored in the database (551), applies data mining techniques (552), analyzes the interconnections between the ordered products (553), and processes the processed results in the association rule database (564). Store at 554.

According to the e-commerce user protection method of the present invention, the credit rating of an internet shopping mall is objectively analyzed and evaluated and provided to the user so that the user can use it as useful judgment data in the process of determining the shopping mall. As a result, the user may carefully decide the transaction with the bad shopping mall, thereby avoiding the inadvertent damage, and the bad credit shopping mall may be gradually eliminated to form desirable e-commerce practices.

Claims (4)

(a) allowing the user to enter satisfaction or complaints about quality, price, delivery, returns and other service items for each shopping mall; (b) performing statistical processing on the input items by type; (c) determining a credit rating of each shopping mall based on the statistical data. The method of claim 1, (d) signing up for non-life insurance for the product purchased by the user who is a user; (e) inputting the non-life insurance processing information generated by the return or delivery accident of the user's purchase of each product for each shopping mall; is added before or after the step (a). How to evaluate a mall. (a) allowing a user to enter a satisfaction score for quality, price, delivery, return and other service items for each shopping mall; (b) performing statistical processing on the input items by type; (c) determining a credit rating of each shopping mall based on the statistical data. (a) retrieving and entering a company type, capital, sales, number and type of trading products, and other company information for each shopping mall; (b) statistically processing the company information by type; (c) determining a credit rating of each shopping mall based on the statistical data.