KR100891930B1 - Method, system and computer-readable recording medium for providing popular goods by using evaluation data on goods - Google Patents

Abstract

In the present invention, using the product evaluation data to extract the list of popular product candidates, collect the product supply conditions from the supplier server of the product belonging to the extracted popular product candidate list, and select the popular product based on the collected product supply conditions By way of providing it is presented.

Hot Products, Product Ratings Data, Competitive Bidding, Reverse Auction

Description

METHOD, SYSTEM AND COMPUTER-READABLE RECORDING MEDIUM FOR PROVIDING POPULAR GOODS BY USING EVALUATION DATA ON GOODS}

1 is a view showing a schematic configuration of a popular item providing system according to an aspect of the present invention.

2 is a flowchart showing the flow of a process for selecting and providing a popular item according to the present invention.

3A is a flowchart illustrating a process of collecting product supply conditions in a competitive bidding manner according to an embodiment of the present invention.

3B is a flowchart illustrating a process of collecting commodity supply conditions in a reverse auction scheme according to another embodiment of the present invention.

4A and 4B are diagrams illustrating an example of displaying popular item information to a user.

<Explanation of symbols for the main parts of the drawings>

100: server

110: popular product list extraction unit

120: product supply condition collection unit

130: popular item selection

140: document generation unit

200: database

300: commodity supplier server

400: user computer

The present invention relates to a method, a system and a computer readable recording medium for providing a user with a selected product utilizing the product evaluation data of a user (a product buyer). More specifically, the present invention extracts a list of popular product candidates by using the user's product evaluation data, selects one or more of the extracted popular product candidate list as a popular product by a bidding method, and selects the selected popular product A method, system, and computer-readable recording medium for selling to a user by being included in a hot sale menu for a period of time.

In recent years, both merchants and buyers, who are sellers of goods, have become increasingly dependent on online shopping. Online shopping generally includes a merchant operating a virtual store (online shopping mall) that accesses the Internet and conducts commercial activities, and a user who accesses such online shopping mall and makes purchases. Such an online shopping mall provides many advantages to the user, such as shortening of purchase time, convenience of payment, rapid reflection of trends, and reduction of distribution margin, but it has a disadvantage in that it is difficult for the user to directly experience the product to purchase. Thus, users often rely only on the reputation of the merchant supplying the product or the online shopping mall on behalf of the product sale in order to purchase a good product.

However, it is undesirable for the user to rely only on the reputation of the supplier at the time of purchase of the product. In order to make up for these drawbacks, there have been ways to utilize product evaluation data of other users. That is, the user can more wisely determine whether to purchase by referring to the evaluation of the products of other users who have purchased and used the corresponding product before the purchase. Representative examples of such product evaluation data are product user reviews disposed at the bottom of the product introduction corner of most online shopping malls or elsewhere. Reviews of the product usually include the quality of the product, the price-to-performance ratio of the product, the evaluation of the product that the user has heard from his neighbors, the delivery period and after-sales service, etc. It may include matters regarding the quality of services.

On the other hand, it may be useful to use the product evaluation data of the user in the view of the online shopping mall. As described above, the user's product evaluation data itself contains relatively objective information about the quality of the product, the quality of the accompanying service, and the like. Therefore, it is natural for the user to trust this, and the online shopping mall may use this as user feedback information to improve the quality of goods and services.

As described above, until now, product evaluation data has been mainly used as reference data when a user selects a product, or as user feedback information used by an online shopping mall to improve the quality of a product and an accompanying service.

The present invention has been newly conceived to provide a method and system for more actively providing a product by using the product evaluation data, instead of simply using the product evaluation data as reference data or user feedback information when selecting a product. will be.

More specifically, an object of the present invention is to easily extract a list of products that are popular among users by utilizing the product evaluation data accumulated and collected from the users.

In addition, another object of the present invention is to select one or more popular items based on the candidate list of the extracted popular items, and to allow users to more easily access the selected popular items.

In addition, another object of the present invention is to enable users to more favorably use the popular items selected based on the user evaluation data.

In addition, it is another object of the present invention to allow users to be more aggressive about the recording and utilization of user evaluation data.

In addition, another object of the present invention is to enable viral marketing to be more easily performed on products popular with users.

Finally, another object of the present invention is to enable an online shopping mall or a portal site to intensively sell popular products for a predetermined period of time, thereby increasing sales and improving sales profits.

The configuration of the present invention for achieving the above object is as follows.

According to one aspect of the present invention, there is provided a popular item selection method utilizing the product valuation data. The method for selecting a popular product according to the present invention may include extracting a popular product candidate list including at least one candidate product based on product evaluation data, from a supplier server of the at least one candidate product belonging to the popular product candidate list. Collecting a product supply condition, and selecting at least one of the at least one candidate product as a popular product based on the collected product supply condition.

According to another aspect of the present invention, a system for providing a commodity is provided. The popular product providing system according to the present invention comprises a popular product candidate list extracting unit extracting a popular product candidate list by using product evaluation data, and a product supply collecting product supply conditions from a supplier server of a product belonging to the popular product candidate list. Generating a document including a condition collecting unit, a popular product selecting unit selecting at least one of the products belonging to the popular product candidate list as a popular product based on the collected product supply condition, and information on the selected popular product It may include a document generation unit.

According to another aspect of the present invention, a method of providing a user with a selected popular item is presented. The method for providing a popular item according to the present invention includes uploading information about a selected popular item to a specific corner of a web site.

According to another aspect of the present invention, a method of performing marketing using information about a selected popular item is provided. The marketing method according to the present invention includes the step of transmitting the information of the selected popular goods to an e-mail account of another user using an e-mail service.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a view showing a schematic configuration of a popular item providing system according to an aspect of the present invention.

First, the server 100 includes a popular product candidate list extracting unit 110, a product supply condition collecting unit 120, a popular product selecting unit 130, and a document generating unit 140. According to one embodiment of the invention, the popular product candidate list extraction unit 110, the product supply condition collection unit 120, the popular product selection unit 130 and the document generation unit 140 is at least a part of the server ( Program modules included in or in communication with the server 100. Such program modules may be included in the server 100 in the form of operating systems, application modules, and other program modules, and may be physically stored on various known storage devices. In addition, these program modules may be stored in a remote storage device that can communicate with the server 100. Such program modules include, but are not limited to, routines, subroutines, programs, objects, components, data structures, etc. that perform particular tasks or execute particular abstract data types, described below, in accordance with the present invention.

Meanwhile, the server 100 may communicate with a database 200 that stores product evaluation data. Communication between the server 100 and the database 200 may be established by a local area network (LAN) using a dedicated line, or may be made by using a telecommunication network (WAN). This networking environment is natural for general server networking. Of course, in one embodiment of the present invention, the database 200 may be included as a component in the server 100.

The server 100 bidirectionally communicates with at least one product provider server 300. In FIG. 1, the server 100 of the present invention is illustrated as communicating with two product provider servers 300, but the present invention is of course not limited to this configuration. According to an embodiment of the present invention, the server 100 may be a web server 100 of an Internet portal site, and the product provider server 300 may be an operation server 300 for operating an online shopping mall on the Internet. According to another embodiment of the present invention, the server 100 may be a server 100 of an online shopping mall, and the product provider server 300 may supply a product to a user through an online shopping mall (whether it is owned by an online store or not). Irrespective) of the operational server 300.

The server 100 also communicates with a plurality of user computers 400. The plurality of user computers 400 also communicate with the server 100 in both directions. 1, although the server 100 of the present invention is illustrated as communicating with three user computers 400, the present invention is not limited to this configuration. Since the user computer 400 includes a web browser (not shown), a web document is received from the server 100 by communicating with the server 100 using a known Internet protocol, and the server 100 receives necessary information. Can be sent to.

For reference, although each component of FIG. 1 communicates with each other as needed, in FIG. 1, a known communication means for communication between each component is not shown in detail.

2 is a flowchart showing the flow of a process for selecting and providing a popular item according to the present invention. Referring to FIG. 2, a process of the popular item providing system according to the present invention illustrated in FIG. 1 will be described in brief.

First, in step S202, the popular product candidate list extraction unit 110 of the server 100 refers to the product evaluation data stored in the database 200. The product evaluation data may preferably include product user reviews that the user leaves after purchasing the product using an online shopping mall. In addition, the product evaluation data may include product use / review reviews left by the expert. Such product evaluation data is stored in the database 200. The popular product candidate list extracting unit 110 extracts a popular product candidate list with a predetermined criterion by using the referred product evaluation data.

In step S204, goods supply conditions are collected for goods suppliers belonging to the popular goods candidate list extracted in step S202. This process is performed by the commodity supply condition collection unit 120 of the server 100 communicates with each commodity supplier server 300. That is, the product supply condition collecting unit 120 may transmit a request for collecting the product supply condition to each product supplier server 300 and receive the product supply condition from each product supplier server 300.

In step S206, the popular item selection unit 130 of the server 100 selects at least one popular item by examining the product supply conditions collected in step S204. That is, it should be noted that the selection of the popular product is not made solely based on the product evaluation data, but is made in consideration of the result of reviewing the conditions for supplying the corresponding product in the popular product selecting unit 130.

In step S208, a document containing information on the popular item selected in step S206 is generated and provided to the user. The document generating unit 140 of the server 100 may be a web content uploader for generating a web document to be transmitted to the user computer 400 including a predetermined content. The document generation unit 140 may provide the user with one piece of content on the web document by including the information on the popular item selected in step S206 in the web document according to the present invention.

As described above, the configuration of the popular product providing system according to the present invention will be described in detail below.

Storage of Product Valuation Data

A representative example of product valuation data is the product use review as described above. Product reviews are generally recorded by the user using the online shopping mall on the site of the shopping mall. Such product use reviews may also be referred to as user reviews. If necessary, the user may leave the user rating data by performing a multiple choice evaluation given on a 5-point scale or a 7-point scale or the like when recording the user review. In addition, the product evaluation data may include the 'expert review' that the expert left about the product. Such expert reviews are actively used in the knowledge shopping ( http://shopping.naver.com ) site developed and operated by the applicant. Looking at the reference, it can be seen that the expert review is a record that a person having expert knowledge in the field of the product experiences the product and leaves it. Of course, such expert reviews can also be recorded with expert ratings. However, the user ratings and expert ratings described above may not necessarily be recorded together with the user reviews and the expert reviews. In some cases, only the user ratings or the expert ratings may be recorded.

The merchandise evaluation data thus created may be stored in the database 200 by the server 100 or by another processing device. Once stored, the product rating data may include identification information of the product and / or a supplier name of the product, and may also include at least one or more of user reviews, user ratings, expert reviews, and expert ratings. In particular, in the case of a user review or an expert review, by using a well-known language dictionary program and a document search engine, the user reviews or expert reviews may be collectively stored as numerical evaluation results advantageous for product evaluation. For example, if a user review includes the phrase "I'm happy to buy good products," the search engine will pay attention to the words "good" and "good." And then digitize it and record it in the database 200. If it is recognized that the word 'good' is attached with an adverb with an emphasis like 'very', the user's satisfaction may be slightly higher. Expert reviews can also be summarized into favorable numerical results for product evaluation. Expert reviews usually include comments that contain the full review, so you can take advantage of them. In addition, it is possible to extract the rating of each part that can be included in the expert review (The rating of each part is more useful in products having a general characteristic that the performance of the overall product is determined by the performance of each component, such as a notebook computer Can be). In addition, simply the number of user reviews and / or expert reviews for a particular product may be utilized as a measure of popularity for that product.

As described above, the database 200 stores at least one or more of a user review, a user rating, an expert review, and an expert rating, and may provide it as data for product evaluation. In particular, the numerical evaluation result, the rating, the number of reviews, and the like of the reviews for the products described above are all useful data for product evaluation because they can be easily weighed by a simple operation.

Extraction of popular product candidate list

It will be described in detail with respect to the popular product candidate list extraction performed by the popular product candidate list extraction unit 110 of the server 100.

The popular product candidate list extracting unit 110 first derives a candidate group suitable for introducing a sales method (described later) according to the present invention among products having product evaluation data. For example, electronic products, books, furniture, interior products, flower delivery services (in the present specification, even services that focus on the provision of services, as long as it can be sold online with the same price as the goods, For convenience, a product such as a product) is characterized by a small fluctuation in price over a period of time, which is more suitable for applying the sales method according to the present invention. Accordingly, the popular product candidate list extracting unit 110 may preferentially perform processing on such products. When the product evaluation data is used to extract a more specific list of popular product candidates, popularity is determined by applying predetermined thresholds to items such as user reviews, user ratings, expert reviews, expert ratings, and evaluation results of numerical user reviews or expert reviews. It is possible to limit the number of products of a product belonging to a product candidate list. The number of items in the candidate list of the popular items may be adjusted as needed, preferably 3-10.

According to a preferred embodiment of the present invention, the popular product candidate list extractor 110 measures the popularity of the product based on the user review and / or expert review. To this end, the popular goods candidate list extraction unit 110 refers to the user reviews and / or expert reviews stored in the database 200, and according to the logic as described above, the numerical value of the user reviews and / or expert reviews Evaluation results can also be derived. Of course, the popular product candidate list extractor 110 may refer to the numerical evaluation result already stored in the database 200 as described above.

Specifically, the list of popular item candidates may be extracted based on the following criteria:

(1) Average value of user ratings

The average value of the user rating is the number that can most easily indicate the user's preference for the product. If the user rating is given by the 5-point scale in some cases and by the 7-point scale in some cases, the average value may be calculated by standardizing the user ratings according to different score scales. That is, if the rating is given to one of 0 to 4 on the 5-point scale, and the rating is assigned to one of 0 to 6 on the 7-point scale, the rating given on the 7-point scale is assigned to the 5-point scale. It can be standardized before adding to the scores. That is, on the 7-point scale, the ratings given as (0, 1, 2, 3, 4, 5, 6) were standardized to (0, 2/3, 4/3, 2, 8/3, 10/3, 4). Can be converted into). Of course, it is also possible to convert the rating given to the 5-point scale to the 7-point scale. The user ratings corresponding to one piece of product identification information may be summed up regardless of the score scale in this way, and the average value may be obtained by dividing this by the total number of user ratings.

(2) Average value of expert rating

The average value of the expert ratings can also be obtained on the same principle as user ratings. However, assuming that expert ratings are generally more reliable than user ratings, the average candidate rating is prioritized over the user rating average to extract a list of popular candidates, or to weight the average rating of expert ratings. It is also possible to extract a list of popular product candidates.

(3) Number of user reviews

Since the user reviews can be seen as being left by the user who directly experienced the corresponding product, there is a possibility that this is a popular product with a lot of sales if the number of user reviews is large. However, in some cases, since most of the user reviews may be content expressing dissatisfaction with the quality of the product, it may not be desirable to classify them as popular products because the number of user reviews is vague. Therefore, this may be a more effective criteria for extracting popular product candidates when considered together with the average value of user ratings or the numerical evaluation results of user reviews to be described later.

(4) the number of expert reviews

The large number of expert reviews can also be an indirect measure of how common the product is. Therefore, this can be used as a criterion for becoming a candidate for a popular product. However, it may be considered less important than the average value of expert ratings.

(5) quantified results of user reviews and expert reviews

Since the evaluation result of the digitized review may be derived according to the logic as described above, a popular product candidate list may be extracted using the evaluation result. The extraction criteria of the above-described (1) to (4) and these numerical evaluation results can be used to extract a list of popular candidates alone or in combination of two or more.

Collection of goods supply conditions

The collection of goods supply conditions performed by the goods supply condition collecting unit 120 of the server 100 will be described in more detail. However, some of the processes of the product supply condition collecting unit described below may be performed by other program modules included in the server 100 of the present invention as necessary.

First, FIG. 3A is a flowchart showing a process of collecting product supply conditions in a competitive bidding manner according to an embodiment of the present invention. Referring to FIG. 3A, in step S302, the product supply condition collecting unit 120 determines a product supply condition applicable to each product of the extracted popular product candidate list, and generates a bid guide based thereon. Such commodity supply conditions may include a quantity that can be supplied, a supply unit price, and stock characteristics of the commodity to be supplied. In step S304, the product supply condition collecting unit 120 transmits the generated bid guide to the product provider server 300, which supplies the product belonging to the popular product candidate list. When the bid guide is received at each commodity supplier server 300, each commodity supplier server 300 prepares a bid and signs the bid using a known electronic bid authorized certificate. In step S306, each commodity supplier server 300 transmits the created bid to the commodity supply condition collecting unit 120 of the server 100, and the commodity supply condition collecting unit 120 receives this.

Look at Figure 3b. 3B is a flowchart illustrating a process of collecting commodity supply conditions in a reverse auction scheme according to another embodiment of the present invention. Referring to FIG. 3B, in step S312, the product supply condition collecting unit 120 specifies the conditions necessary for the sale and the reverse auction start unit price according to the characteristics of the product belonging to the popular product candidate list. For example, if Samsung's Anycall SCH-B630 mobile phone is included in the popular product candidate list, the reverse auction start price is 500,000 won, the quantity is 1000, and the sales period is 1 day. The sales quantity and the reverse auction start price are determined according to the characteristics of each product belonging to the candidate list of popular products, and the sales period may also vary according to the characteristics of the products. In step S314, the product supply condition collecting unit 120 transmits the reverse auction guide including the specified selling condition and the reverse auction start price to the server 300 of each product supplier supplying the reverse auction target product. In the server 300 of each commodity supplier, a sales application form corresponding thereto is created, which is transmitted to the commodity supply condition collecting unit 120. In step S316, the product supply condition collection unit 120 receives a sales application form from each product supplier server 300. In step S318, the product supply condition collection unit 120 analyzes the received sales application to extract the lowest reverse auction unit price. In step S320, the commodity supply condition collecting unit 120 notifies each commodity supplier server 300 of the lowest reverse auction unit price extracted. In step S322, in response to the notification, the sale includes a unit price lower than the extracted unit price. It is detected whether an application has been sent from the product provider server 300. Here, steps S320 and S322 may be repeated until no sales application is received from the product provider server 300 that includes a unit price lower than the existing extracted unit price.

In the present invention, the competitive bidding method described above is more advantageous in selecting the most suitable product as a popular product after receiving the product supply conditions from the product suppliers regardless of the type or quantity of the product, whereas the reverse auction method is popular. It should be understood that it is more advantageous to receive goods at the lowest unit price for multiple commodity suppliers of the same or nearly similar commodities in the commodity candidate list.

Selection of popular products

According to various embodiments of the present disclosure, the product supply conditions collected by the competitive bidding method or the reverse auction method are transmitted from the product supply condition collecting unit 120 to the popular product selecting unit 130.

In the case of the competitive bidding method, the popular product selecting unit 130 considers the total sales calculated by multiplying the quantity of the product, the unit price of the product, and the quantity of the product by the unit price of the product, the corresponding sales margin, the inventory characteristics of the product, etc. Popular items are selected by selecting a bid that presents the most favorable conditions for supplying the collected bids.

In addition, in the case of the reverse auction method, the popular product selecting unit 130 selects, as a principle, the supplier of the popular product, the commodity supplier having the most starting unit price. However, the popular product selection unit 130 suggests the second lowest unit price in consideration of the total sales calculated by multiplying the quantity of the product, the quantity of the product by the product unit price, the sales margin, and the inventory characteristics of the product. A commodity supplier's product may be selected as a popular product. An exception may be made where it is most desirable to select a commodity supplier's commodity that offers a higher unit price than the second lowest unit price as the most popular product.

The selected popular item may vary as needed, but may be preferably limited to one to two. Because, as will be described later, it is preferable that the popular product according to the present invention is limitedly sold for a short period of time, and sold only at a specific corner linked to a hot sale corner included in a portal site or an online shopping mall. It is because it is preferable.

Sale of popular items

As described above, the information on the popular product selected by the popular product selecting unit 130 of the server 100 is transmitted from the popular product selecting unit 130 to the document generation unit 140. As described above, the document generator 140 may be a known web content uploader, and information about the selected popular product may be included in a web document generated by the document generator 140 in the form of web content. .

4A and 4B are diagrams illustrating an example of displaying popular item information to a user. First, referring to FIG. 4A, it can be seen that an additional tab called TDay ^TM is created on the right side of a hot sale tab widely used in an online shopping mall or a portal site. Subsequently, referring to FIG. 4B, when clicking the added tab, it can be seen that information on the iRiver S7 model, which is the selected exemplary popular product, is displayed instead of the product information included in the existing hot sale tab. The information about the popular items displayed as described above may include information on a product price, a rating of the product, a brief function and specification of the product, and the like. In addition, the additional tab according to the present invention does not merely perform a function of providing product information, but calls a web browser screen or a separate browser window for a user to purchase a popular product by clicking a hypertext script included therein. It can also perform a function that enables it. According to one embodiment of the present invention as described above, by providing an additional tab linked to the hot sale tab, which is easy for users of the online shopping mall to pay attention to improve the accessibility of the product by displaying information about popular products there Can be. It is also possible to increase the user's desire to purchase the popular item by selling the selected popular item for a limited time only, for example, for a short time of 24 hours to 48 hours.

For popular items Viral  Marketing

One more noteworthy thing in FIG. 4B is that a recommendation button is included in an additional tab according to the present invention. According to an embodiment of the present invention, a user may directly transmit information about a popular product to a friend or acquaintance, etc. by using a recommendation button included in an additional tab with respect to a popular product that the user has a crush on. When the user clicks the recommendation button, a mailing application mainly used by the user is started, and the started mailing application automatically pops up a letter window to be sent, which is expressed in the form of text or a combination of images and text. Detailed information of the popular item is included in a predetermined size. Through this, the user can easily send detailed information of the popular item to a friend or acquaintance. In other words, according to an embodiment of the present invention, a user may market a popular product to a friend or acquaintance instead of an advertisement company. Promotional techniques that allow them to act as mediators are commonly referred to as "viral marketing," where the term "viral marketing" derives from the fact that the publicity spreads like a computer virus through individual internet users).

Embodiments according to the present invention described above may be implemented in the form of program instructions that may be executed by various computer means, and may be recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs, DVDs, and magneto-optical media such as floptical disks. And hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In the present invention as described above has been described by the specific embodiments, such as specific components and limited embodiments and drawings, but this is provided to help a more general understanding of the present invention, the present invention is not limited to the above embodiments. For those skilled in the art, various modifications and variations are possible from these descriptions.

Therefore, the spirit of the present invention should not be limited to the above-described embodiments, and all the equivalents or equivalents of the claims, as well as the claims described below, belong to the scope of the present invention. something to do.

According to the present invention, it is possible to achieve an effect of easily extracting the products popular with the user by utilizing the product rating data including the user reviews, user ratings, expert reviews and expert ratings.

According to the present invention, by including the extracted product in the popular product candidate list and selecting at least some of the products belonging to the list as a popular product, the user can easily access the popular product and purchase it at low cost, The portal site can achieve the effect of increasing sales to get more profit.

According to the present invention, by allowing users to learn that user evaluation data is economically utilized, the effect of allowing more users to be more actively involved in recording and utilizing user evaluations can be achieved.

According to the present invention, by inducing a user to actively recommend a popular product to a friend or acquaintance, it is possible to achieve an additional promotion effect on the product.

Claims (27)

As a way to provide information about popular items using product valuation data, Extracting, by a server connected to the network, a popular product candidate list including at least one candidate product based on the product evaluation data; Collecting, by the server, a product supply condition from a supplier server of the at least one candidate product belonging to the popular product candidate list; Selecting, by the server, at least one of the at least one candidate products as a popular product based on the collected product supply condition, and Providing, by the server, information regarding the selected popular item and the supply condition of the selected popular item to a user terminal device connected to the server; How to include. The method of claim 1, The product rating data includes at least one of a user review of the product, a user rating of the product, an expert review of the product, and an expert rating of the product. The method of claim 1, The product evaluation data includes a user review of a product, and the extracting of the popular product candidate list comprises: referring to at least one of the number of user reviews of the product and a numerical evaluation result of the user review of the product. How to include. The method of claim 1, Wherein the product rating data includes user ratings for a product, and wherein extracting the popular product candidate list comprises referring to an average value of user ratings for the product. The method of claim 1, The product evaluation data includes an expert review of a product, and the extracting of the popular product candidate list may include referencing at least one of the number of expert reviews of the product and a numerical evaluation result of the expert review of the product. How to include. The method of claim 1, Wherein the product valuation data includes expert ratings for a product, and wherein extracting the popular product candidate list includes referring to an average value of expert ratings for the product. The method of claim 1, And collecting the goods supply condition from the supplier server in a manner of at least one of a bidding method and a reverse auction method. The method of claim 7, wherein The goods supply condition comprises at least one of information on supply quantity, supply unit price, inventory characteristics. The method according to any one of claims 1 to 8, Information about the hot item is uploaded to a particular corner of a website. The method of claim 9, The information regarding the popular item is displayed to the user for a predetermined period of time in the specific corner. The method of claim 9, The specific corner is displayed to the user in the form of a tab associated with the hot sale corner of the website. A marketing method using information of a popular product uploaded to the specific corner according to the method of claim 9, wherein the specific corner includes a means for recommending the popular product to other users. Transmitting the popular item information to another user's e-mail account using an e-mail service. As a popular item providing system, A popular product candidate list extractor which extracts a popular product candidate list by using product evaluation data; A commodity supply condition collecting unit configured to collect commodity supply conditions from a supplier server of goods belonging to the popular goods candidate list; A popular product selecting unit configured to select at least one of the products belonging to the popular product candidate list as a popular product based on the collected product supply condition; A document generation unit generating a document including information on the selected popular goods and information on a condition for supplying goods of the selected popular goods System comprising a. The method of claim 13, The product rating data includes at least one of a user review of the product, a user rating of the product, an expert review of the product and an expert rating of the product. The method of claim 13, The product evaluation data includes a user review of a product, and the popular product candidate list extracting unit refers to at least one of the number of user reviews of the product and a numerical evaluation result of the user review of the product. The method of claim 13, The product evaluation data includes a user rating for a product, and the popular product candidate list extracting unit refers to an average value of user ratings for the product. The method of claim 13, The product evaluation data includes an expert review of a product, and the popular product candidate list extracting unit refers to at least one of the number of expert reviews of the product and a numerical evaluation result of the expert review of the product. The method of claim 13, The product evaluation data includes expert ratings for a product, and the popular product candidate list extracting unit refers to an average value of expert ratings for the product. The method of claim 13, And the product supply condition collecting unit collects the product supply condition from at least one of a bidding method and a reverse auction method from the supplier server. The method of claim 19, The product supply condition includes at least one of information on supply quantity, supply unit price, and inventory characteristics. A system according to any one of claims 13 to 20, wherein And the document generation unit is a web content uploader for uploading information about the selected popular product to a specific corner of a web site. The method of claim 21, And information about the popular item is displayed to the user for a predetermined period of time in the specific corner. The method of claim 21, The particular corner is displayed to the user in the form of a tab associated with a hot sale corner of the website. The method of claim 21, The specific corner further includes means for recommending the popular item to other users, And when the recommendation means is activated, means for transmitting the popular goods information to an e-mail account of another user using an e-mail service. A computer-readable recording medium having recorded thereon a program for executing the method according to any one of claims 1 to 8. A computer-readable recording medium having recorded thereon a program for executing the method according to claim 9. A computer-readable recording medium having recorded thereon a program for executing the method according to claim 12.

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