JP2015225602A - Determination device, determination method, and determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To optimize a display order of commodity on a retrieval result.SOLUTION: A selection device concerning, or a determination device, includes: a specification part which specifies a commodity to be presented; a determination part which determines an order of presenting information on the commodity specified by the specification part on the basis of information regarding advertising expenses of the commodity and value of the commodity. As a result, since the determination device displays the information on the commodity which is popular among users at a higher rank, it may optimize a display order of information and improve usability.

Description

  The present invention relates to a determination device, a determination method, and a determination program.

  2. Description of the Related Art Conventionally, a technique for displaying information on products that match a search query input by a user in a list format is known. As an example of such technology, based on the amount of bid participation fee set by the seller of each product, the order in which the information on each product is displayed is determined, and a list in which the product information is arranged in the determined order is displayed. The technology to do is known.

JP 2012-503246 A JP 2008-503831 A

  However, in the above prior art, there are cases where the display order of information cannot be optimized. For example, in the above-described conventional technology, products whose bid participation costs are higher than other products are displayed at the top of the list. For this reason, in the above prior art, if a higher bid participation cost than other products is set for products that are not popular, such as products that are more expensive than other products, Since it is displayed at a higher level, usability is deteriorated.

  The present application has been made in view of the above, and an object thereof is to provide a specifying device, a specifying method, and a specifying program that can optimize the display order of information.

  The determination device according to the present application provides an order for presenting information on a product specified by the specifying unit based on a specifying unit that specifies a product to be presented, information on advertising costs of the product, and a value of the product. And a determining unit for determining

  According to one aspect of the embodiment, the display order of products can be optimized.

FIG. 1 is a diagram illustrating an example of a distribution server according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of a distribution server according to the embodiment. FIG. 3 is a diagram illustrating an example of a product database according to the embodiment. FIG. 4 is a diagram illustrating an example of a store database according to the embodiment. FIG. 5 is a diagram illustrating an example of information registered in the sales record database according to the embodiment. FIG. 6 is a flowchart illustrating an example of the flow of registration processing executed by the distribution server according to the embodiment. FIG. 7 is a flowchart illustrating an example of a flow of determination processing executed by the distribution server according to the embodiment. FIG. 8 is a diagram illustrating another example of processing executed by the distribution server according to the embodiment. FIG. 9 is a diagram illustrating an example of a determination process executed by the distribution server according to the embodiment using the sales promotion expenses. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the distribution server according to the embodiment.

  Hereinafter, modes for carrying out a determination device, a determination method, and a determination program according to the present application (hereinafter referred to as “embodiments”) will be described in detail with reference to the drawings. In addition, the determination apparatus, the determination method, and the determination program which concern on this application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Example of distribution server)
First, an example of a distribution server that is an example of a determination device according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a distribution server according to the embodiment. FIG. 1 shows an example of a determination process in which a distribution server 10 that is an example of a selection device identifies a product that matches a search query input by a user and determines the order in which information about the identified product is displayed. In the following description, an example in which the distribution server 10 provides an online shopping mall service including a plurality of stores such as an Internet shopping website as an aspect of electronic commerce will be described.

  The distribution server 10 is an information processing apparatus that provides services of an online shopping mall including a plurality of virtual stores, and is realized by, for example, a server system or a cloud system including a plurality of server apparatuses. For example, the distribution server 10 stores a product database 15 in which information on products sold at each store is stored. In addition, the distribution server 10 provides online shopping street services such as a web page for searching for a product, a web page on which detailed information on the product is posted, and a web page for inputting various information when purchasing the product. Various web pages distributed when providing are stored.

  The terminal device 100 is connected to a network N such as a desktop PC (Personal Computer), a notebook computer, a smartphone, a tablet terminal, etc., acquires arbitrary information existing on the network, and displays or reproduces it on an arbitrary display device It is a terminal device that can Here, in a service of an online shopping mall provided by the distribution server 10, the terminal device 100 acquires and displays a web page for searching for a product from the distribution server 10 when the user searches for the product. When the user inputs a keyword for searching for a product, the terminal device 100 transmits the input keyword to the distribution server 10 as a search query.

  In such a case, the distribution server 10 searches the product database 15 for products that match the search query and products that are related to the search query. Then, the distribution server 10 generates a web page in which product information included in the search result is arranged in a list format, and transmits the generated web page to the terminal device 100. As a result, the terminal device 100 displays the received web page as a search result, and presents a product or the like that matches the search query to the user.

[1-1. Example of product information)
Information on products included in the search result is arranged on the web page as the search result. For example, in the example illustrated in FIG. 1, an example of a web page on which information on a product searched when the search query is “one piece” is described. For example, in the example shown in FIG. 1, information on the searched product includes a product photo, a description of the product, a store that sells the product, information on the price of the product, shipping information, whether or not the same day delivery or next day delivery, Information on products including availability or the like is arranged.

  Note that the displayed product information is not limited to this, and may include only the product photo and the product price, for example. In addition, the distribution server 10 may change the content of information to be displayed according to a user's request, and may display other information related to the product as product information.

  Further, the distribution server 10 may narrow down the products that match the conditions specified by the user. For example, the distribution server 10 displays only information on products for which inventory products exist when the user checks the “Purchasable” check box, and when the user checks the “free shipping” check box, Display only free products, check the “Same-day delivery” checkbox, display only the products that are eligible for same-day delivery, and check the “Next-day delivery” checkbox, target the next-day delivery You may display only the goods which become.

  Further, the distribution server 10 may narrow down the products in the category selected by the user. For example, when the user selects the category “fashion”, the distribution server 10 may display only information on products registered in the category “fashion”. When the user does not input a search keyword and only sets the condition, the distribution server 10 displays the information on the product of the condition or category selected by the user in the condition setting.

  In addition, when the product information display method is not specified by the user, the distribution server 10 generates a list in which the product information is arranged in the order determined by the determination process described later. On the other hand, the distribution server 10 arranges the product information in descending order of the cumulative number of products sold when the user selects “in order of sale”, and selects “selling order” in order of product sales price. Arrange product information in ascending order, select “highest”, arrange product information in descending order of product sales price, select “number of reviews”, use each item for each product A list in which product information is arranged in descending order of the number of reviews (evaluation, etc.) registered by the person is generated.

[1-2. About advertising expenses)
Here, an advertising cost may be set for a product to be posted. Specifically, the products to be sold include the sales promotion expenses paid as a reward from the seller to the service provider of the online shopping mall when the product is purchased, and the ratio of the compensation amount to the sales price of the product. A certain promotion ratio is set. Then, the distribution server 10 preferentially displays the information of the product for which the sales promotion cost and the sales promotion ratio are set over the information of the other products. That is, the distribution server 10 arranges information on products whose sales promotion cost and sales promotion ratio are higher than those of other products at the top of the list. Then, when a product for which a sales promotion cost or a sales promotion ratio is set is purchased, the distribution server 10 exhibits the product using the set sales promotion cost or the sum of the sales amount and the sales promotion rate as a reward. Charge the person.

  As described above, the product information included in the search result may include information in which the sales promotion cost and the sales promotion ratio are set as the advertising cost, that is, the advertisement. The advertising expenses set for the product are not limited to the sales promotion cost or the sales promotion rate. For example, when the product information is displayed, the seller rewards the service provider of the online shopping mall. The amount of advertising expenses paid as a ratio of the amount of advertising expenses to the price of the product may be set.

[1-3. Example of conventional technology]
Here, in the prior art, information on a product with a high sales promotion cost is arranged and displayed higher in the list than information on other products. However, in the conventional technology, when a bid participation cost higher than that of other products is set for an unpopular product, the unpopular product is displayed higher than the other products, which deteriorates usability.

  For example, in the example illustrated in FIG. 1, the distribution server 10 includes a product table 15 in which a store name where a product is listed, a product name, a sales price of the product, and a sales promotion ratio set for the product are associated. In the product table 15, the sales number, which is the cumulative number of products sold, is registered in association with each product.

  For example, in the example illustrated in FIG. 1, in the product database 15, the sales price of “product A” exhibited by the store name “S10” is “5000” yen, the sales promotion ratio is “5%”, and the sales quantity is “ 50 ”pieces are registered. In addition, the product database 15 registers that the sales price of “product B” exhibited by the store name “S10” is “3200” yen, the sales promotion ratio is “1%”, and the number of sales is “700”. Has been. In addition, the product database 15 registers that the sales price of “product C” exhibited by the store name “S11” is “1000” yen, the sales promotion ratio is “3%”, and the number of sales is “500”. Has been.

  In addition, the product database 15 registers that the sales price of the “product D” exhibited by the store name “S12” is “3200” yen, the sales promotion ratio is “4%”, and the number of sales is “520”. Has been. Further, in the product database 15, the sales price of “product E” exhibited by the store name “S13” is “2000” yen, the sales promotion ratio is “2.5%”, and the number of sales is “300”. Registered. Note that “Product A” to “Product E” are the same type of products included in the search result of the search query “One Piece”.

  When information as shown in FIG. 1 is stored in the product database 15, in the conventional technology, a list in which product information is arranged on the product of the sales promotion cost, that is, the sales price and the sales promotion ratio is generated. For example, in the prior art, as shown in FIG. 1A, in order of “product A”, “product D”, “product E”, “product B”, “product C” from the higher sales promotion cost. It is considered that a list in which product information is arranged is generated. However, although the sales promotion cost of “product A” is higher than other products, the selling price of “product A” is higher than other products of the same type, so it cannot be said that it is a popular product. When the information of “Product A” is displayed at the top of the list, there is a high possibility that the display will be annoying for the user.

[1-4. About the decision process)
Therefore, the distribution server 10 executes the following processing. First, the distribution server 10 identifies a product to be presented to the user, such as a product that matches a search keyword specified by the user. Then, the distribution server 10 optimizes the order in which the information on the specified product is displayed based on the information related to the advertising cost of the specified product and the value of the product. For example, the distribution server 10 determines the order of displaying the product information in the list in consideration of the value of the product in addition to the advertising cost of the product.

  As a result, the distribution server 10 displays the information of the products whose advertising cost and the value of the product are higher than those of the other products among the identified products, and the advertising cost is other than the information of the other products. The display order of products that are higher than the product but lower in value of the product than other products, that is, products that are not popular is lowered. As a result, the distribution server 10 can optimize the information display order.

  For example, the distribution server 10 specifies a product to be presented to the user using the user's search query. Next, the distribution server 10 specifies information related to the advertising cost of the specified product and the value of the specified product from the product database 15. The distribution server 10 uses the information related to the specified advertising cost and the value of the product, and the higher the advertising cost or the higher the value of the product, the higher the value, and the lower the advertising cost, or the product For each product, a score is calculated such that the lower the value of, the lower the value.

  Then, the distribution server 10 generates a list in which product information is arranged in descending order of the calculated score, and transmits a web page including the generated list to the terminal device 100. The distribution server 10 calculates a score that decreases as the advertising cost increases or the value of the product decreases, and increases as the advertising cost decreases or the value of the product decreases. You may generate the list which arranged the information on goods in order with the low score.

[1-5. Example of score)
Next, an example of processing in which the distribution server 10 calculates a score will be described using FIG. For example, the distribution server 10 estimates that a product with a larger number of sales than other products when comparing the same type of product is a product that is more popular than the other products, that is, a product having a high value in the search result. .

  For example, in the example shown in FIG. 1, “Product B” and “Product D” have the same sales price, but “Product B” has more sales than “Product D”. It can be said that “B” is a product having a higher value than “product D”. In such a case, it is considered that usability is improved when the information of “product B” is displayed higher than the information of “product D”. In addition, the “product A” is a product that has a lower selling price than other products and has a lower value than other products because the sales price is lower than other products. In such a case, it is considered that the usability is lowered when the information of “product A” is displayed higher than the information of other products.

  Therefore, as shown in FIG. 1B, the distribution server 10 calculates a product value of the sales promotion ratio and the sales quantity as a score. And the delivery server 10 produces | generates the list which arranged the information of goods in an order from the one where the calculated score is high. In the case illustrated in FIG. 1, the distribution server 10 has a score “2.5” for “product A”, a score “7” for “product B”, a score “15” for “product C”, and a score “15” for “product D”. 20.8 ”and the score“ 7.5 ”of the product E is calculated.

  As a result, as shown in the post-adjustment order in FIG. 1, the distribution server 10 sets “product D”, “product C”, “product E”, “product B”, “product” as the order in which product information is arranged. A ”is determined. Then, as shown in FIG. 1, the distribution server 10, in order from the highest score, “product D” information, “product C” information, “product E” information, “product B” information, “ A web page including a list in which information of “product A” is arranged is generated, and the generated web page is transmitted to the terminal device 100.

  As described above, the distribution server 10 determines the order in which the product information is presented to the user based on the information related to the advertising expenses and the value of the product. As a result, since the distribution server 10 displays advertisements of popular products with high advertising costs, the usability can be improved.

  Further, as a result of the above-described processing, it is considered that a product whose sales number has increased is displayed at the top of the search result even if the sales promotion ratio value is decreased, and further the sales number is information. As a result, the distribution server 10 can further promote the use of the online shopping mall as a result of strengthening competition among exhibitors in the online shopping mall and increasing the competitiveness of each product. In addition, since the seller can display the product information at the top even if the price of the product is low, the price of each product is reduced, and as a result, the distribution server 10 further promotes the use of the online shopping mall. be able to.

[2. Other examples of decision processing]
Here, in the above description, the distribution server 10 has described the determination process when the sales promotion ratio value is used as the information related to the advertising cost and the sales quantity is used as the value of the product. However, the embodiment is not limited to this. In other words, the distribution server 10 can employ any information as a parameter for calculating the score as long as it is information related to advertising costs or information representing the value of a product. Hereinafter, other examples of the information related to the advertising expenses adopted by the distribution server 10 and the information representing the value of the product will be described.

[2-1. (Information related to advertising expenses)
In the example described above, the distribution server 10 employs the sales promotion ratio of the product as the information related to the advertising expenses. However, the distribution server 10 may adopt the amount of the sales promotion cost of the product as information related to the advertising cost. For example, the distribution server 10 may employ a value of a product of the amount of sales promotion costs and the number of sales as a score.

  On the other hand, if the product has a big difference in sales price and does not produce much difference in the number of units sold, if the sales promotion cost is used in calculating the score, it is not very popular. There is a risk that information on products whose promotion cost is higher than other products will be displayed at the top. Therefore, the distribution server 10 may calculate the score using the value of the sales promotion ratio as the advertising cost.

  In addition, the distribution server 10 selects, as information related to the advertising cost, a reward (reward for impression) generated when product information is displayed in the search result, and product information by the user selecting product information. You may employ | adopt the reward etc. based on CTR (Click Through Rate), CPA (Cost Per Acquisition), etc. which arise when the web page on which is posted is displayed. That is, the distribution server 10 may employ, as information related to the advertising expenses, the amount or ratio of an arbitrary reward paid from the seller of the product to the service provider of the online shopping mall in order to promote the sale of the product. it can.

  In addition, the distribution server 10 may calculate the score using a plurality of pieces of information related to the advertising expenses. For example, the distribution server 10 may calculate the score using the amount of the sales promotion cost and the sales promotion ratio. Further, the distribution server 10 may weight information related to the advertising expenses according to the user's request, the type of the displayed product, and the like. For example, the distribution server 10 may weight the amount of the sales promotion cost and the sales promotion ratio so that the sales promotion ratio is reflected by the score value depending on the type of the displayed product.

  Further, the distribution server 10 may calculate the score in consideration of the number of times product information is selected. For example, the distribution server 10 may calculate the score using the number of times product information is selected, the value of CTR, information related to advertising costs, and the value of the product. When such processing is performed, the distribution server 10 can place products popular with the user at the top of the list.

[2-2. About the value of the product)
In the above-described example, the distribution server 10 calculates a score using the number of products sold so far as the value of the product, that is, the value of the sales number that is the cumulative sales number, and according to the calculated score value The order in which the products are displayed was determined. However, the embodiment is not limited to this. That is, the distribution server 10 can employ any information as the value of the product as long as it is information indicating the sales performance of the product.

[2-2-1. Sales results)
For example, the distribution server 10 may calculate the score by using the sales price as the value of the product. The distribution server 10 may calculate the score by using the number of products sold within a predetermined period from the present. By executing such processing, the distribution server 10 can calculate the order in which information of each product is displayed using the value of the product based on the latest popularity order.

  In addition, the distribution server 10 specifies the number of products sold for each predetermined period, such as every week or every month, and calculates a score by using a value based on the transition of the number of specified products. Also good. In addition, the distribution server 10 may calculate the score by using a value obtained by performing a predetermined weight with the passage of time on the number of products specified for each predetermined period. For example, although the distribution server 10 did not sell much during the period from two weeks ago to one week ago, the score of a product whose number of sales has increased from one week ago to the present may be increased.

  In addition, the distribution server 10 may calculate the score by adopting the value of the total sales instead of the number of sales. Further, the distribution server 10 may calculate the score using the future sales performance predicted for each product. For example, the distribution server 10 may increase the score of camping equipment before summer vacation, and may increase the score of a Christmas tree, a gift product, etc. before Christmas. Further, the distribution server 10 may calculate the score using the prediction of the sales result based on the number of sales of the product in the past same period. Further, the distribution server 10 may calculate a score according to a comparison result between the value of a product for which an advertising cost is set, such as a sales promotion ratio, and the value of another similar product.

[2-2-2. About weighting of sales results)
Here, the selling price of the product may be changed by the exhibitor due to factors such as time, sales, and whether it is cheaper than the price set by other exhibitors. For example, sales prices of electrical appliances tend to decrease with the passage of time, but sales prices of popular products and limited products may increase with the passage of time.

  Therefore, the distribution server 10 may calculate the score according to the transition of the sales price of the product. Further, the distribution server 10 may adopt the value of the product in which weighting based on the difference between the past sales price of the product and the current sales price is applied to the sales performance. For example, when the current sales price is higher than the past sales price, the distribution server 10 assumes that the value of the product has increased and the weight of the sales performance such as the number of sales so that the score value increases. It may be done.

  In other words, the distribution server 10 may adopt the value of the product weighted by the sales record according to an index such as how much the product is sold at what price. For example, the distribution server 10 may weight the sales results according to the comparison result between the number of sales of the target product and the number of sales of other products. Further, the distribution server 10 may weight sales results such as the number of sales for each period according to the past sales price and the number of sales. Further, for example, the distribution server 10 may apply weighting based on the difference between the past sales price of the product and the current sales price to the sales performance for each period. In such a case, the distribution server 10 weights the sales results so that, for example, when the number of sales increases in accordance with the reduction in the sales price, the value of the product increases and the score value increases. May be performed.

  In addition, the distribution server 10 may adopt the value of the product weighted by the sales results according to the comparison result with the sales price of other products of the same type. For example, the distribution server 10 determines the score value when the price of a product for which an advertising expense such as a sales promotion ratio or a sales promotion cost is set is lower than the price of another specified product. The sales performance may be weighted so as to increase.

  In addition, the distribution server 10 determines the past sales price of a product (hereinafter referred to as a target product) for which an advertising cost such as a sales promotion ratio or a sales promotion cost is set among the specified products, and other specified products. The sales performance may be weighted according to the difference between the past sales price and the comparison result of the difference between the current sales price of the target product and the current sales price of the identified other product.

  For example, in the past, the distribution server 10 has sold the product because the selling price of the target product and the selling price of the other product are set high, but now the selling price of the other product has dropped, If the item is not sold, the sales performance may be weighted so that the score value decreases. Further, the distribution server 10 determines the value of the product when the sales price of the target product in the past is lower than the sales price of other products and the difference is larger than the past in the present and the past. Sales results may be weighted so that the score value rises as an increase.

[2-2-3. About the value of other products)
In this way, the distribution server 10 can obtain a score using the value of a product that employs arbitrary information as a sales record, as long as it is information that can be acquired from the past sales price of the target product or the history of the number of past sales. Can be calculated. In addition, the distribution server 10 can sell the sales price of the target product, the transition of the sales price, the comparison result with the sales price of other products, the sales volume, the transition of the sales volume, the comparison result with the sales volume of other products, etc. Using any information that can be acquired from the sales results, the sales results can be weighted and the score can be calculated.

  In addition to the information described above, the distribution server 10 calculates a score using the value of the product in consideration of the current sales price and the like, and determines the order in which the product information is displayed according to the calculated score can do. For example, the distribution server 10 can determine the value of points given to the purchaser at the time of product purchase, the ratio to the selling price, the amount of shipping, the time elapsed since the product was exhibited, and any other information that determines the value of the product. May be used to calculate the score.

  Further, for example, the distribution server 10 may acquire the ranking of the search query from a search server or the like (not shown), and the score of the product that matches the search query with the highest ranking may be increased. The distribution server 10 may increase the score of a product broadcast on a so-called buzzword or television. Further, the distribution server 10 may calculate a score using the value of a product that adopts a future sales performance predicted by an event, a season, or the like.

  Further, the distribution server 10 may calculate the score using the value of the product according to the evaluation of the store where the product is exhibited. For example, when the evaluation of the distribution server 10 and the store where the product is exhibited rises, the score may also be reported.

  The distribution server 10 also increases the score value when the selling price increases and the number of units sold does not decrease even though the period has elapsed since the product was sold. It may be. Further, the distribution server 10 reduces the score value when the sales price increases and the number of sales decreases even though the period has elapsed since the product was sold. May be.

  Hereinafter, an example of a functional configuration of the distribution server 10 that realizes the above-described determination process will be described.

[3. Configuration of Distribution Server 10]
Next, the configuration of the distribution server 10 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of a distribution server according to the embodiment. As shown in FIG. 2, the distribution server 10 transmits / receives data to / from each terminal device 100 via the network N.

  Here, the distribution server 10 includes a communication unit 11, a storage unit 12, and a control unit 13, as illustrated in FIG. Note that the internal configuration of the distribution server 10 is not limited to the configuration illustrated in FIG. 2, and may be another configuration as long as the selection process described above is performed.

  The communication unit 11 is realized by, for example, a NIC (Network Interface Card). The communication unit 11 is connected to the network N by wire or wirelessly and transmits / receives information to / from the terminal devices 100 and 101.

  The storage unit 12 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 12 stores a distribution information database 14, a product database 15, a store information database 16, and a sales record database 17.

  The control unit 13 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like executing various programs stored in the storage device inside the distribution server 10 using the RAM as a work area. The The control unit 13 is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  Further, the control unit 13 executes the determination program stored in the storage device inside the distribution server 110 using the RAM as a work area, so that the reception unit 18, the distribution unit 19, the specifying unit 20, the determination unit 21, the distribution It operates as the unit 22.

[3-1. Example of each database)
Next, an example of information stored in the storage unit 12 will be described. In the distribution information database 14, various web pages distributed by the distribution server 10 to the terminal device 100 are registered. For example, the distribution information database 14 includes a web page for searching for a product, a web page on which detailed product information is posted, a web page for inputting various information when purchasing a product, etc. Various web pages distributed when providing the service are registered.

  The product database 15 is a database in which information on products sold in the online shopping mall is registered. For example, FIG. 3 is a diagram illustrating an example of a product database according to the embodiment. In the example shown in FIG. 3, the product database 15 includes a store ID, a product ID, a product name, a product image, a sales price, a lower limit price, a shipping fee, an upper limit point magnification, a sales promotion ratio, a sales promotion cost, a sales quantity, a CTR, and a posting. Information such as date and number of browsing is stored in association with each product. Here, the store ID is information for identifying the store, and the product ID is information for identifying the product, for example, a product code or a JAN (Japanese Article Number) code.

  The lower limit price is information indicating the lower limit of the sales price of the product, and the upper limit point magnification is information indicating the upper limit of the magnification with respect to the sales price of the points given to the purchaser at the time of purchasing the product. CTR is a value obtained by dividing the number of times a web page on which product information is selected and product details are displayed by the number of times product information is displayed. It is the date and time when it was exhibited. Moreover, the number of browsing is the number of times information on the product is displayed.

  Of the information stored in the product database 15, the store ID, product ID, product name, product image, sales price, lower limit price, shipping fee, upper limit point magnification, sales promotion ratio, and sales promotion cost are registered by the exhibitor. Information. Of the information stored in the product database 15, information such as the number of sales, CTR, publication date, number of views, etc. is information that is updated as needed by searching for or selling products by the user.

  For example, in the product database 15, the store ID “S10”, the product ID “C101”, the product name “product A”, the product image “P101”, the sales price “5000”, the lower limit price “2500”, the shipping cost “250”, Information such as upper limit point magnification “2”, sales promotion ratio “5%”, sales promotion cost “250” sales volume “50”, CTR “2%”, publication date “2014/5/2”, browsing count “1000”, etc. Are stored in association with each other.

  In the example illustrated in FIG. 3, an example in which each store registers products with different product IDs is described, but the embodiment is not limited thereto. For example, when a plurality of stores sell the same product, the same product ID is assigned to the product. For example, when the store indicated by the store ID “S10” and the store indicated by the store ID “S11” sell the same product indicated by the product ID “C110”, the store ID “S10” corresponds to the product ID “C110”. The attached record and the record in which the store ID “S11” and the product ID “C110” are associated with each other are registered in the product database 15. In such a case, the product image, the sales price, the lower limit price, the shipping fee, the upper limit point magnification, the sales promotion ratio, the sales promotion cost, and the like may differ depending on the store.

  The store information database 16 is a database in which information on virtual stores set up in the online shopping mall by merchandise sellers is stored. For example, FIG. 4 is a diagram illustrating an example of a store database according to the embodiment. In the example illustrated in FIG. 4, the store database 16 stores store IDs, store visits, evaluations, and comprehensive evaluations in association with each other. Here, the number of store visits is the number of users who browse the store web page indicated by the store ID. The number of evaluations is the number of times the user has evaluated the store indicated by the store ID. The comprehensive evaluation is an average value when each user evaluates the store indicated by the store ID with five-stage numerical values.

  For example, the store information database 16 stores a store ID “S10”, the number of visits “1000”, the evaluation number “500”, and the comprehensive evaluation “4.2” in association with each other. In the store information database 16, the number of stores, the number of evaluations, and the overall evaluation are registered for the stores indicated by the other store IDs “S11” to “S13”. Arbitrary information may be registered in the store information database 16 in addition to the information shown in FIG. In addition to the store indicated by the store ID shown in FIG. 4, any store information is registered in the store information database 16.

  The sales performance database 17 is a database in which the sales performance of products in the online shopping mall service provided by the distribution server 10 is registered. For example, FIG. 5 is a diagram illustrating an example of information registered in the sales record database according to the embodiment. In the example illustrated in FIG. 5, the sales record database 17 stores a store ID, a store ID of a product purchased by a user, a sales price of the product, and a sales date in association with each other. In other words, the sales history database 17 stores the past sales history of the product.

  For example, in the example illustrated in FIG. 5, the sales record database 17 corresponds to the store ID “S10”, the product ID “C101”, the sales price “3200”, and the sales date “2014/5/10/10: 15”. It is stored with. That is, in the sales record database 17, the product indicated by the product ID “C101” among the products sold by the store ID “S10” is sold at “3200” yen at 10:15 on May 10, 2014. Is registered.

  The sales record database 17 stores store ID “S11”, product ID “C103”, sales price “1000”, and sales date “2014/5/10/12: 43” in association with each other. The sales record database 17 stores store ID “S10”, product ID “C101”, sales price “2500”, and sales date “2014/5/10/15: 50” in association with each other. The sales record database 17 stores store ID “S10”, product ID “C102”, sales price “3000”, and sales date “2014/5/10/16: 15” in association with each other. The sales record database 17 stores store ID “S11”, product ID “C103”, sales price “1000”, and sales date “2014/5/10/20: 15” in association with each other. It is assumed that past sales records are registered in the sales record database 17 in many cases.

  Here, the price of the product indicated by the product ID “C101” among the products exhibited by the store indicated by the store ID “S10” was “3200” at 10:15 on May 10, 2014. After that, the price is discounted, and it was assumed that it was sold at “2500” yen at 15:50 on May 10, 2014. In addition to the information shown in FIG. 5, for example, information for identifying a user who purchased a product, a user address, and the like may be registered in the sales record database 17.

[3-2. Example of processing executed by control unit 13]
Returning to FIG. 2, an example of processing executed by the reception unit 18, the distribution unit 19, the specification unit 20, the determination unit 21, and the arrangement unit 22 included in the control unit 13 will be described.

  The accepting unit 18 accepts registration of various information related to the product to be exhibited, such as information related to the advertising cost of the product and the lower limit price of the product. Specifically, the accepting unit 18 uses a client terminal or the like used by the exhibitor to store the store ID of the store that sells the product, the product ID of the product to be exhibited, the product name, the product image, the sales price, the lower limit price, the shipping cost, Accept registration of upper limit point magnification, sales promotion ratio, sales promotion expenses. In such a case, the reception unit 18 registers the received various information in the product database 15 in association with each other.

  Hereinafter, an example of processing executed by the receiving unit 18 will be described. For example, when accepting the seller's login, the accepting unit 18 transmits a web page related to product registration to the client terminal. On the web page, input boxes such as a store ID, a product ID of a product to be exhibited, a product name, a product image, a sales price, a lower limit price, a shipping fee, an upper limit point magnification, a sales promotion ratio, and a sales promotion cost are arranged. In such a case, when the exhibitor inputs various information in the input box, the client terminal transmits the input various information to the receiving unit 18. And the reception part 18 registers the received information in the goods database 15, and registers the date and time when registration was received as a publication date.

  The reception unit 18 may display the sales price of the registered product and the sales price of the similar product when registering the product, and prompt the registration of an appropriate sales price. For example, the reception unit 18 specifies the sales price of a product that is the same as or similar to the registered product from the product database 15. Then, the reception unit 18 may prompt the registration of an appropriate sales price by presenting the specified sales price to the exhibitor.

  The distribution unit 20 reads various web pages distributed when providing the online shopping mall service from the distribution information database 14, and distributes the read web pages to the terminal device 100. For example, the distribution unit 20 distributes a web page for searching for a product to the terminal device 100. Then, when receiving the search query, the distribution unit 20 outputs the received search query to the specifying unit 20. After that, when the distribution unit 10 acquires the generated web page as a result of processing executed by the specifying unit 20, the determination unit 21, and the arrangement unit 22 described later, the distribution unit 10 transmits the acquired web page to the terminal device 100 as a search result. .

  The distribution unit 20 may generate a web page for comparing sales prices of the same product and transmit the web page to the terminal device 100. For example, when the distribution unit 20 receives a product ID as a search query, the distribution unit 20 outputs the received product ID to the specifying unit 20, and the web generated as a result of the processing executed by the specifying unit 20, the determining unit 21, and the arranging unit 22. The page may be transmitted to the terminal device 100.

  In addition, when the user selects product information included in the search result, the distribution unit 20 transmits a web page on which details of the product are posted to the terminal device 100. Specifically, the distribution unit 20 reads information on a product selected by the user from the product database 15 and generates a web page on which the details of the product are posted using the read information. Then, the distribution unit 20 transmits the generated web page to the terminal device 100.

  The distribution unit 20 uses the store information registered in the store information database 16 to generate a web page on which details of the store are posted, a web page for evaluating the store, and the like on the terminal device 100. You may send it. In addition, the distribution unit 20 generates various web pages related to the online shopping mall service from the various databases 14 to 17 registered in the storage unit 12, and distributes the generated web pages.

  Further, the distribution unit 20 updates information such as the number of sales, the CTR, the number of views, etc. registered in the product database 15 according to the browsing of the web page and the sale of the product. For example, when the distribution unit 20 distributes a web page on which details of a product are posted, the distribution unit 20 updates the number of products viewed and the CTR. In addition, when the product is purchased, the distribution unit 20 updates the number of sales registered in the product database 15 and also stores the product ID, store ID, sales price, and sales date and time of the product sold in the sales performance database 17. Register. In addition, when the user evaluates the store, the distribution unit 20 updates the store information database 16 based on the evaluation result.

  The specifying unit 20 specifies a product to be presented. For example, when receiving a search query from the distribution unit 19, the specifying unit 20 specifies a product that matches the received search query from the product database 15. For example, when receiving the search query “shirt”, the specifying unit 20 specifies a record indicating a shirt or a related product of the shirt from the product database 15. Then, the specification unit 20 notifies the determination unit 21 of the specified record.

  Note that when the product ID is received as a search query from the distribution unit 19, the specifying unit 20 specifies a record in which the received product ID is registered from the product database 15. Then, the specification unit 20 notifies the determination unit 21 of the specified record.

  The determination unit 21 optimizes the order in which the information on the product specified by the specifying unit is displayed based on the information related to the advertising cost of the product and the value of the product. For example, the determination unit 21 receives a notification of the record specified by the specifying unit 20. In such a case, the determination unit 21 calculates a score for each product using the information related to the advertising cost of the product registered in the notified record and the value of the product.

  For example, the determination unit 21 employs the sales promotion ratio of the product as information related to the advertising cost when calculating the score. Further, the determination unit 21 employs the number of products sold as the value of the product when calculating the score. And the determination part 21 calculates a score using the sales promotion ratio of goods, and the number of sales of goods. For example, the determination unit 21 uses a product value of the sales promotion ratio of the product and the number of sales of the product as a score. Then, the determination unit 21 notifies the placement unit 22 of the calculated score.

[3-3. (Score calculation method)
Note that the specific calculation method used when the determination unit 21 calculates the score is not limited to the integration of the information related to the advertising expenses and the value of the product, and any parameter or coefficient may be considered. For example, the determination unit 21 may use a product of a value obtained by adding a predetermined coefficient to the information related to the advertising cost and a value obtained by adding the predetermined coefficient to the value of the product as a score. The sum of the integrated value and the value obtained by integrating a predetermined coefficient to the value of the product may be used as the score.

  Further, when a plurality of pieces of information (hereinafter referred to as parameters) are adopted as the information related to the advertising expenses and the value of the product, the determination unit 21 may apply individual coefficients to each parameter. In other words, the determination unit 21 can adopt any method as long as it uses information related to advertising costs and the value of a product as parameters for score calculation. Moreover, the determination part 21 can calculate a score using arbitrary information as long as it is information indicating the value of the product.

[3-4. About adopted parameters)
Here, the determination unit 21 may use other information as information related to the advertising cost or the value of the product. In the following, an example of information relating to the advertising expenses employed by the determination unit 21 when calculating the score and an example of the value of the product will be described. Note that the information adopted by the determination unit 21 when calculating the score is not limited to the following example, and any information can be used to calculate the score as long as it is information related to advertising expenses or information indicating the value of the product. It may be adopted as a parameter at the time.

  For example, the determination unit 21 may adopt the amount of sales promotion cost, the value of CTR, the number of views, etc. as parameters of information related to advertising costs. In addition, the determination unit 21 may display arbitrary information as long as it is information related to advertising expenses such as display of product information, information related to rewards generated by sales of products, the number of times product information is displayed, and CPA. It may be adopted as a parameter.

  Moreover, the determination part 21 may employ | adopt a some parameter as information regarding advertising expenses, and may set a separate coefficient for each parameter. For example, the determination unit 21 may employ a sum of a value obtained by adding a predetermined coefficient to the amount of the sales promotion cost and a value obtained by adding the predetermined coefficient to the value of the sales promotion ratio as a parameter of the information related to the advertising cost. . Moreover, the determination part 21 may consider weighting of the information regarding advertisement expense based on transition of advertisement expense.

  Moreover, the determination part 21 may employ | adopt a sales price and a sales performance as a parameter of the value of goods. For example, the determination unit 21 may read the sales record from the sales record database 17 and adopt the read sales record as the value of the product when calculating the score. Further, the determination unit 21 may predict the future sales performance using an arbitrary method, and may employ the predicted future sales performance as the value of the product when calculating the score. For example, the determination unit 21 reads the past sales record from the sales record database 17 and identifies the transition of the sales quantity for each predetermined period. And the determination part 21 may employ | adopt as a parameter the future sales volume estimated from the specified transition as a future sales performance. In addition, the determination unit 21 may adopt a future sales record in consideration of a future event or a timely increase or decrease in the number of sales.

  In addition, the determination unit 21 may adopt the number of products sold within a predetermined period from the present time as a parameter, or may calculate a score by using the value of the total sales. For example, the determination unit 21 may acquire the sales price of the product from the sales performance database 17 and set the total of the acquired sales prices as the value of the total sales. As described above, the determination unit 21 can employ any information as a parameter of the value of the product as long as it is information indicating the current or past sales performance.

  Moreover, the determination part 21 may calculate a score using the information of the store which sells goods. For example, the determination unit 21 acquires the number of visits, evaluations, and comprehensive evaluations of stores that sell products from the store information database 16 and applies a coefficient based on the acquired information to the value parameter of the product. Also good.

  Further, the determination unit 21 may employ a plurality of pieces of information as product value parameters, and may weight sales results by setting a predetermined coefficient for each parameter. Further, for example, the determination unit 21 specifies the sales results for each predetermined period, sets a coefficient for each of the specified sales results, and adopts the sum of the sales results with the coefficients set as the value of the product. Also good.

[3-5. About weighting of sales results)
Here, when calculating the score, the determination unit 21 applies a coefficient based on the sales time, the value of the product, the change in the value of the product, and the like to the sales result, thereby weighting the sales result. Good. For example, the determination unit 21 refers to the sales record database 17 and specifies the sales price and the sales quantity for each predetermined period. And the determination part 21 may weight with respect to a sales performance by setting the coefficient according to transition of a selling price with respect to the sales quantity of each specified period, according to the transition of a selling price. . That is, the determination unit 21 may perform weighting according to how much the sales price is sold.

  In addition, the determination unit 21 identifies the number of sales for each predetermined period, and sets a coefficient corresponding to the transition of the identified sales number in the accumulation of the sales number, thereby weighting the sales according to the transition of the sales number. It may be performed on sales results. For example, the determination unit 21 may set a coefficient that increases the score when the number of sales increases.

  Further, the determination unit 21 may specify the past sales price and the current sales price of the product from the sales record database 17 and set a coefficient based on the comparison result of the specified sales price. For example, when the selling price is rising, the determination unit 21 may set a coefficient that increases the score.

  Further, the determination unit 21 may specify the past sales price and the number of sales from the sales record database 17 and set a coefficient based on the sales price for each period as the number of sales for each period. Moreover, the determination part 21 may set the coefficient based on the difference between the sales price of each period and the current sales price as the number of sales for each period.

  Moreover, the determination part 21 may set the coefficient according to the comparison result with the price of other goods. For example, the determination unit 21 selects a product having the highest sales promotion ratio and sales promotion cost among the products specified by the specifying unit 20. Next, the determination unit 21 compares the price of the selected product with another product specified by the specifying unit 20, and applies the weighting according to the comparison result to the sales performance of the selected product. For example, when the price of the selected product is higher than the price of the other products, the determination unit 21 sets a coefficient for decreasing the score value for the sales performance, and the price of the selected product is different from that of the other products. When the price is lower than the price of the product, a coefficient that increases the score value may be set for the sales record.

  Moreover, the determination part 21 specifies the difference of the past sales price of the selected goods, and the past sales price of other goods for every predetermined period. And the determination part 21 may set the coefficient based on the difference of the sales price in this period with respect to the sales volume in each period of the selected goods.

  Further, the determination unit 21 determines the difference between the past sales price of the selected product and the past sales price of the other product specified by the specifying unit 20, and the current sales price of the selected product and the specifying unit 20 specifies A coefficient corresponding to the result of comparison with the difference from the current sales price of the other product may be set. For example, the determination unit 21 specifies a difference in past sales prices from the sales performance database 17. Further, the determination unit 21 specifies the difference in the current sales price from the product database 15. Then, the determination unit 21 compares the identified difference between the past sales prices and the difference between the current sales prices, and if the difference does not change much, a coefficient that increases the score value is calculated with respect to the sales performance. May be set.

  In addition to the weighting method described above, the determination unit 21 may, for example, sell the number, sales price, change in sales number, change in sales price, difference in sales quantity with other products, The difference in sales price or the like can be adopted as a parameter parameter for the sales performance, and the value of the product used for score calculation can be calculated. Moreover, the determination part 21 may weight sales performance based on the mailing cost of goods, an upper limit point magnification, whether it is goods related to a buzzword, the time passed from the posting date, etc. That is, the determination unit 21 determines the sales period, the value of the current product, the change in the value of the product, the sales volume, the current sales price, the sales volume, the sales price, the difference in the sales volume with other products, Arbitrary information indicating the value of the product, such as a difference in sales price with other products, can be used as a parameter for determining the “value of the product” described in the claims.

  Note that the determination unit 21 may sequentially perform the above-described processing for a predetermined number of products, starting with a product with a high value of the sales promotion ratio and the sales promotion cost. Moreover, the determination part 21 may perform the process mentioned above about the goods in which the value of a sales promotion ratio or a sales promotion expense is larger than a predetermined value.

[3-6. (Display list)
The arrangement unit 22 generates a list in which the information on the products specified by the specifying unit 20 is arranged in the order of the scores calculated by the determining unit 21. Then, the placement unit 22 outputs the generated list to the distribution unit 19. For example, when receiving the notification of the score from the determining unit 21, the arranging unit 22 generates a list in which product information is arranged in descending order of the score, as illustrated in FIG. Then, the placement unit 22 outputs the generated list to the distribution unit 19. As a result, the distribution unit 19 generates a web page including the list generated by the specification unit 20, the determination unit 21, and the arrangement unit 22, and transmits the generated web page to the terminal device 100.

[4. Processing flow of distribution server 10]
Next, the procedure of processing executed by the distribution server 10 will be described with reference to FIGS. First, the procedure of a registration process executed by the distribution server 10 when accepting registration of a product will be described with reference to FIG. FIG. 6 is a flowchart illustrating an example of the flow of registration processing executed by the distribution server according to the embodiment.

  For example, the distribution server 10 accepts registration of the sale price, the lower limit price, the sales promotion ratio, and the upper limit point magnification of the product from the exhibitor (step S101). Next, the distribution server 10 identifies similar products of the product to be registered from the product database 15 (step S102), and presents the comparison result between the sales price of the similar product and the accepted sales price to the exhibitor (step S102). S103). Then, the distribution server 10 determines whether or not the product information such as the sales price of the product has been updated (step S104). If the product information has not been updated (step S104: No), the product information is registered in the product database 15. (Step S105), and the process ends. On the other hand, when the product information is updated (step S104: Yes), the distribution server 10 executes step S103.

  Next, the procedure of the determination process executed by the distribution server 10 will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of a flow of determination processing executed by the distribution server according to the embodiment. First, the distribution server 10 receives a search query from the terminal device 100. In such a case, the distribution server 10 specifies a product corresponding to the search query (step S202), and acquires information related to the advertising cost of the specified product and the value of the product (step S203). And the delivery server 10 optimizes the arrangement | positioning order of the information of the identified goods based on the information regarding the advertising expense of goods, and the value of goods (step S204). Thereafter, the distribution server 10 transmits a web page including information on the product whose arrangement order is optimized to the terminal device 100 (step S205), and ends the process.

[5. (Modification)
The distribution server 10 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the distribution server 10 will be described. In addition, the process which the delivery server 10 demonstrated below shall be performed by the control part 13 shown in FIG.

[5-1. (Optimization due to changes in product value)
The distribution server 10 described above optimizes the order in which the products are displayed by determining the order in which the product information is displayed based on the information related to the advertising costs and the value of the products. However, the embodiment is not limited to this. For example, the distribution server 10 may optimize the order of displaying the product information by comparing the value of the product for the specified product and changing the value of the product based on the comparison result. In addition, the distribution server 10 may change the value of the product based on the comparison result of the value of the product after changing the order in which the information on the product is displayed using the determination process described above.

  For example, the determination unit 21 selects a product having the largest sales promotion ratio or sales promotion cost among the products specified by the specifying unit 20. Next, the determination unit 21 compares the sales price of the selected product with the sales price of the other product specified by the specifying unit 20. When the determination unit 21 determines that the sales price of the selected product is higher than the sales price of the other products, the determination unit 21 discounts the sales price of the selected product to the same level as the other products. Thereafter, the distribution unit 19 may transmit the search result on which the sales price discounted by the determination unit 21 is displayed to the terminal device 100.

  For example, FIG. 8 is a diagram illustrating another example of processing executed by the distribution server according to the embodiment. In FIG. 8, a part of the web page distributed by the distribution server 10 that includes product information, that is, a list part on which product information is posted is described. For example, in the example illustrated in FIG. 8, information on “product A” to “product E” is displayed. Here, “Product A” has a sales price of “5000” yen, and the sales price is higher than other products, so it is estimated that the value of the product is low.

  Accordingly, the distribution server 10 discounts the sales price “5000” yen of “product A” to the sales price that matches the sales price of other products. Specifically, the distribution server 10 uses the lower limit price registered in association with “product A” as the lower limit of the discounted price, and discounts to the same price as other products. For example, in the example illustrated in FIG. 8, the distribution server 10 displays the sales price “5000” yen of “product A” discounted to the sales price “3000” yen of the product “product D” with information arranged at the top. To do.

  Thus, the distribution server 10 changes the value of the selected product when the value of the selected product is lower than the value of the other products. Specifically, the distribution server 10 changes the value of the selected product by changing the price of the selected product. As a result, the distribution server 10 can optimize the order in which the product information is displayed by changing the value of the product.

  The distribution server 10 may change the value of the product, for example, by changing the shipping cost or the point magnification instead of changing the selling price. In addition to the sales price, the distribution server 10 selects the product selected based on the result of comparing the value of the product, such as the sales performance, the period elapsed from the date of starting sales, the comparison result of the number of views, the attention level, etc. The selling price may be changed.

  In addition, before performing the above-described determination process, the distribution server 10 varies the value of the product based on the comparison result of the selling prices, and determines the order in which the product is displayed according to the score based on the value of the product after the change. May be. For example, when the distribution price of the “product D” is discounted to “3200” yen, the distribution server 10 uses the value of the product based on the discounted sales price “3200” yen to obtain the information of “product D”. The order of display may be determined.

  Further, the distribution server 10 may increase the sales price of the selected product when the sales price of the selected product is low compared to other products. Further, the distribution server 10 may increase the selling price of the selected product when there is no other product in stock. That is, the distribution server 10 may increase the value of a product when the value of the selected product is lower than the value of another product.

  Further, when changing the value of the product, the determination unit 21 may change the value of the product using the past sales performance or the predicted future sales performance. For example, the determination unit 21 may increase the selling price when a product whose sales volume is increasing or the predicted future sales volume is larger than the current sales volume.

  Further, the determination unit 21 may change the value of the product according to the comparison result between the past sales price of the selected product and the current sales price. In addition, the determination unit 21 determines the difference between the past sales price of the selected product and the past sales price of the other product, and the difference between the current sales price of the selected product and the current sales price of the other product. The value of the selected product may be varied according to the comparison result.

  In addition, for example, the determination unit 21 optimizes the order in which the product information is displayed by changing the value of the selected product so that the score of the selected product is approximately the same as the score of the other products. May be. For example, the determination unit 21 calculates the score from the sales results and various information related to the advertising expenses in consideration of various parameters and weights, as in the above-described determination process. Then, when the score of the selected product is lower than the score of the other product, the determination unit 21 may adjust the sales price of the product so that the score is similar to the score of the other product. .

[5-2. About weighting)
In the determination process, the distribution server 10 described above calculates a score in consideration of various parameters and weights, and determines the order in which product information is displayed based on the calculated score. However, the embodiment is not limited to this.

  For example, depending on the user, different elements are important when purchasing a product. For example, one user may place importance on the selling price, while another user may place more importance on points, shipping costs, store evaluation, etc. than the selling price. In addition, depending on the type of the product, factors that are regarded as important when the product is purchased change. For example, for expensive products such as home appliances, there are cases where the evaluation of a store, the presence or absence of shipping charges, etc. are more important than the selling price.

  Therefore, the distribution server 10 may change the weight used when calculating the score according to the user who is the presentation destination of the product information and the type of the product for which the information is displayed. For example, when the user attaches importance to points, the distribution server 10 may weight the value of the product so that the score of the product having a high upper limit point magnification value increases. Further, for example, when displaying information on a product for which evaluation of the store is regarded as important, the distribution server 10 may weight the value of the product so that the score increases as the evaluation of the store increases. .

  In this way, the distribution server 10 weights the value of the product according to the user to whom the product information is presented and the type of the product. As a result, the distribution server 10 can display the product information in an appropriate order for the user.

[5-3. About product information registration)
For example, when the exhibitor registers the product information, the distribution server 10 may make a recommendation according to a comparison result between the value of the product to be registered and the value of another product.

  For example, when the value of the product to be registered is too high compared to the value of other products, it is considered that the selling price of the product to be registered is too low. Therefore, the distribution server 10 may recommend the seller that the selling price of the product may be further increased if the value of the product to be registered is too high compared to the value of the other products. .

  For example, the distribution server 10 may further increase the sales price when the sales price of the product to be registered is lower than the sales price of other products, or when a similar product is sold out. You may make a recommendation to the exhibitor. Further, the distribution server 10 may recommend to the seller that the selling price should be lowered when the value of the product to be registered is too low compared with the value of the other products.

  In addition, the distribution server 10 determines the difference between the past sale price of the product and the past sale price of the other product, and the comparison result of the difference between the current sale price of the product and the current price of the other sale product. In response, the sales price may be recommended. For example, if the selling price when a product has been sold in the past is higher than the selling price of other products and the difference in the past selling price is larger than the difference in the current selling price, the selling price of the product is It is thought that the product can be sold even if it is higher. Therefore, if the distribution server 10 has a higher selling price when the product has been sold in the past than the selling price of the other product and the difference in the past selling price is larger than the difference in the current selling price, It may be recommended that the sales price of the product can be further increased.

  In addition, the delivery server 10 can specify the value of goods using arbitrary parameters similarly to the determination process mentioned above. Further, similarly to the case of calculating the score in the settlement process, the distribution server 10 may weight the sales results according to the comparison result with other products, and specify the value of the products.

  Further, the distribution server 10 may consider not only the value of the product but also information related to the advertising cost. For example, the distribution server 10 recommends to the seller that the selling price of the product may be further increased if the score value of the product to be registered is higher than the score value of the other product. Good.

[5-4. (About list display)
In the example described above, the distribution server 10 determines the display order of the information on the products specified using the search query input by the user. However, the embodiment is not limited to this. For example, when the same product is sold at a plurality of stores, the distribution server 10 may display a comparison page such as a sales price, a shipping fee, and points of each store. At this time, the distribution server 10 calculates the score of the product sold by each store by executing the determination process described above, and arranges the information of each store and the product information in order from the store having the highest calculated score. A comparison page may be distributed. Further, the distribution server 10 may calculate a score by adopting different parameters and weighting when displaying the comparison page and when displaying the search result. The distribution server 10 may perform the above-described determination process when displaying the product on the top page.

[5-5. (Information on advertising expenses)
In the example described above, the distribution server 10 determines the order in which the product information is displayed using the value of the sales promotion ratio as the information related to the advertising expenses. However, the embodiment is not limited to this. For example, the distribution server 10 may determine the order in which the information is displayed based on the product of the price of the product and the sales promotion ratio, that is, the product of the amount of the sales promotion cost and the value of the sales quantity that is the sales record. Good.

  For example, FIG. 9 is a diagram illustrating an example of a determination process executed by the distribution server according to the embodiment using the sales promotion cost. In the example illustrated in FIG. 9, an example of the process of changing the order of displaying the information of “product F” to “product J” exhibited by the stores S20 to S24 is described. In the example shown in FIG. 8, the sales promotion ratio of “Product F” is “8%”, the sales promotion ratio of “Product G” is “7%”, and the sales promotion ratio of “Product H” is “6%”. Yes, the sales promotion ratio of “Product I” is “5%”, and the sales promotion ratio of “Product J” is “4%”. Further, the sales promotion result of “product F” is “750”, the sales promotion result of “product G” is “1300”, the sales promotion result of “product H” is “1700”, and the sales promotion result of “product I”. The result is “1600”, and the sales promotion result of “product J” is “1750”.

  In such a case, the distribution server 10 calculates the product of the price, the sales promotion ratio, and the sales performance of each product as a score for determining the order in which each information is displayed, and the products are calculated in descending order of the calculated scores. Rearrange. As a result, the delivery server 10 delivers a web page in which product information is arranged in the order of “product H”, “product G”, “product I”, “product J”, and “product F”.

[5-6. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the functions exhibited by the reception unit 18, the distribution unit 19, the specification unit 20, the determination unit 21, and the distribution unit 22 illustrated in FIG. 2 may be integrated with any granularity.

  In addition, the above-described embodiments can be appropriately combined within a range in which processing contents do not contradict each other.

[5-7. program〕
Further, the distribution server 10 according to the above-described embodiment is realized by a computer 1000 having a configuration as shown in FIG. 10, for example. Hereinafter, the computer 1000 that executes the function of the distribution server 10 will be described. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the distribution server according to the embodiment. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a determination program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100 and data used by the programs. The communication interface 1500 receives data from other devices via the network N, sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other devices.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the distribution server 10 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 13 by executing a determination program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 12, for example, a distribution information database 14, a product database 15, a store information database 16, and a sales performance database 17. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices.

[6. effect〕
As described above, the distribution server 10 specifies a product to be presented. And the delivery server 10 determines the order which presents the information of the specified goods based on the information regarding the advertising expense of goods, and the value of goods. For this reason, since the distribution server 10 displays advertisements of popular products with high advertising costs, the display order of information can be optimized. Moreover, since the delivery server 10 gives priority to popular products and displays them on the top, usability can be improved. Furthermore, the distribution server 10 can further promote the use of the online shopping mall as a result of strengthening competition among exhibitors in the online shopping mall and increasing the competitiveness of each product.

  Further, the distribution server 10 determines the order in which the product information is presented by using the amount of the sales promotion cost or the sales promotion ratio as the information related to the advertising cost of the product. For this reason, the distribution server 10 can optimize the order in which the information on the products is displayed.

  In addition, the distribution server 10 determines the order in which the product information is presented using the sales performance of the product as the value of the product. For example, the distribution server 10 determines the order of presenting product information using the cumulative number of products sold as the value of the product. For this reason, since the delivery server 10 displays popular products at the top of the list, usability can be improved.

  In addition, the distribution server 10 determines the order in which the product information is presented using the predicted future sales performance as the value of the product. For this reason, since the delivery server 10 displays the products predicted to become popular from the top of the list, usability can be improved.

  Further, the distribution server 10 weights the sales results in accordance with the comparison result between the past sales price of the product and the current sales price of the product, and determines the order in which the product information is presented. For this reason, the distribution server 10 can optimize the order of displaying the product information from the viewpoint of how much the product is sold at what sales price.

  In addition, the distribution server 10 weights the sales results according to the comparison result between the sales price of the product and the sales price of the other products, and determines the order in which the product information is presented. For this reason, the distribution server 10 can optimize the order of displaying the product information according to the comparison result of the selling prices.

  In addition, the distribution server 10 displays the sales results, the difference between the past sales price of the product and the past sales price of the other product, and the difference between the current sales price of the product and the current sales price of the other product. The order of presenting product information is determined by weighting according to the comparison result. Therefore, for example, the distribution server 10 can optimize the order in which the product information is displayed according to the comparison result of the sales price difference.

  Further, the distribution server 10 determines the order in which the product information is presented based on the number of times the product information is selected, the information related to the advertising expenses, and the value of the product. For this reason, the distribution server 10 can display popular products at the top of the list and improve usability.

  Further, the distribution server 10 varies the value of the selected product based on the comparison result between the value of the selected product and the value of another product. For this reason, the distribution server 10 can optimize the order in which the information on the products is displayed.

  In addition, when the distribution server 10 determines that the value of the selected product is lower than the value of the other products, the distribution server 10 changes the value of the selected product. For this reason, the distribution server 10 can create a sales opportunity for a product that is not popular.

  Further, the distribution server 10 changes the value of the selected product by changing the selling price of the selected product. For example, since the distribution server 10 lowers the selling price of an unpopular product, the distribution server 10 can create a competitiveness with other products and create an opportunity to sell an unpopular product.

  Further, the distribution server 10 determines the order in which the product information is presented using the value of the changed product. For this reason, since the distribution server 10 can display the information of the product whose value of the product is fluctuated at the top of the list, it is possible to create a sales opportunity for the product that is not popular.

  Further, the distribution server 10 accepts the setting of information related to the advertising cost of the product and the lower limit price of the product. Then, when changing the value of the selected product, the distribution server 10 changes the selling price of the selected product to a price higher than the accepted lower limit price. As a result, the distribution server 10 can avoid the disadvantage of the exhibitor caused by the change in the value of the product.

  Further, the distribution server 10 weights the value of the product according to the presentation destination of the product information or the type of the product, and determines the order in which the product information is presented. As a result, the distribution server 10 can display a list in which product information is arranged in an optimal order for each user or product type as a presentation destination of information. For this reason, the distribution server 10 can optimize the order in which the products are displayed.

  As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to implement the present invention in other forms with improvements.

  Moreover, the above-mentioned “section (module, unit)” can be read as “means”, “circuit”, and the like. For example, the distribution unit can be read as distribution means or a distribution circuit.

DESCRIPTION OF SYMBOLS 10 Distribution server 11 Communication part 12 Storage part 13 Control part 14 Distribution information database 15 Merchandise database 16 Store information database 17 Sales performance database 18 Reception part 19 Distribution part 20 Identification part 21 Determination part 22 Arrangement part 100 Terminal device

Claims (17)

A specific part that identifies the product to be presented;
A determination unit that determines the order in which information on the product specified by the specifying unit is presented based on the information related to the advertising cost of the product and the value of the product;
The determination apparatus characterized by having.   The said determination part determines the order which presents the information of the said product using the ratio of the amount of the said advertising cost or the advertising cost with respect to the price of the said product as information regarding the advertising cost of the said product. 2. The determination device according to 1.   The determination device according to claim 1, wherein the determination unit determines an order in which information on the product is presented using the sales performance of the product as the value of the product.   The determination apparatus according to claim 3, wherein the determination unit determines an order of presenting information on the product using the cumulative number of sales of the product as the value of the product.   The said determination part determines the order which presents the information of the said goods using the predicted future sales track record as the value of the said goods, The any one of Claims 1-4 characterized by the above-mentioned. Decision device.   The determination unit weights the sales performance according to a comparison result between a past price of the product and a current price of the product, and determines an order in which information on the product is presented. The determination apparatus as described in any one of Claims 3-5.   The determination unit weights the sales performance according to a comparison result between the price of the product and the price of another product specified by the specifying unit, and determines the order in which the information on the product is presented. The determination apparatus according to any one of claims 3 to 6, wherein the determination apparatus is any one of claims 3 to 6.   The determination unit includes the difference between the past price of the product and the past price of the other product specified by the specifying unit, and the current price of the product and the other specified by the specifying unit. The determination according to any one of claims 3 to 7, wherein weighting is performed according to a comparison result of a difference with a current price of the product, and an order of presenting information on the product is determined. apparatus.   The said determination part determines the order which presents the information of the said product based on the frequency | count that the information of the said product was selected, the information regarding the said advertising expense, and the value of the said product. The determination apparatus according to any one of 1 to 8.   The said determination part changes the value of the said predetermined goods based on the comparison result of the value of a predetermined goods and the value of another goods among the goods which the said specific | specification part specified. The determination device according to any one of 1 to 9.   11. The determination apparatus according to claim 10, wherein the determination unit changes the value of the predetermined product when it is determined that the value of the predetermined product is lower than the value of another product.   12. The determination apparatus according to claim 10, wherein the determination unit changes the value of the predetermined product by changing the price of the predetermined product.   The determination device according to any one of claims 10 to 12, wherein the determination unit determines an order in which the information on the product is presented by using the changed value of the predetermined product. . A reception unit that accepts setting of information related to advertising costs of the product and a minimum price of the product;
The determination device according to any one of claims 10 to 13, wherein the determination unit changes the price of the predetermined product to a price higher than the lowest price received by the reception unit.   The said determination part weights the value of the said product according to the presentation destination of the said product information or the classification of the said product, and determines the order which presents the information of the said product. The determination apparatus as described in any one of -14. A decision method executed by a decision device,
A specific process for identifying the product to be presented;
A determination step for determining an order in which information on the specified product is presented based on information related to advertising costs of the product and the value of the product;
A determination method characterized by comprising: A specific procedure for identifying the product to be presented,
A determination procedure for determining an order of presenting the information of the specified product based on information related to the advertising cost of the product and the value of the product;
A determination program characterized by causing a computer to execute.

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