JPWO2018083776A1 - Delivery device, delivery method, program, and non-transitory computer readable information recording medium - Google Patents

Abstract

The regularity degree calculation unit (101) is for the regularity degree with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop, and the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell products. Calculate based on The extraction unit (102) extracts the product information described in the article that the shop is to deliver to the subscriber. The degree-of-competitiveness calculation unit (103) calculates the degree of competitiveness of the article based on the sales conditions sold by another shop in the electronic market for the product related to the extracted product information. The delivery unit (104) delivers the newsletter including the article to the subscriber whose calculated regularity condition satisfies the non-spilling condition with respect to the calculated degree of competition.

Description

  The present invention relates to a delivery apparatus, delivery method, program, and non-temporary computer-readable information recording medium, and more particularly to selection of a delivery target of a newsletter.

  Companies and individuals using the Internet to distribute various information to customers and members by e-mail are widely used. Such e-mails are called newsletters or e-mail magazines, and are often sent for advertising or solicitation purposes. There are many requests from the publishers of newsletters to raise the appeal of newsletters, and thus various ideas have been made. For example, Patent Document 1 discloses a technology for distributing an e-mail including useful information specific to a residence area for each customer residence area.

JP 2003-295804

  However, as in Patent Document 1, there is a problem that it takes time and effort to change the contents of distribution in accordance with the attribute of the distribution destination. Also, the publisher of the newsletter may have determined the content to be distributed, and there is a demand for distributing the content to a valid distribution destination.

  The present invention solves the problems as described above, and a distribution device, a distribution method, a program, and a non-temporary device capable of appropriately selecting a distribution destination according to the content of an article included in a newsletter. It aims at providing a computer readable information recording medium.

The distribution apparatus according to the first aspect of the present invention is
The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Degree calculation department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shops to sell the product related to the extracted product information in the electronic market;
A distribution unit that distributes the newsletter including the article to a subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
And the like.

Further, in the distribution device according to the above aspect,
An acquisition unit for acquiring a response to a product related to product information described in an article included in the newsletter, of the subscriber to which the newsletter has been distributed;
An outflow degree calculating unit that calculates an outflow degree indicating a rate at which the subscriber purchases at the other shop based on the acquired response;
A control unit that adjusts the non-spill condition based on the regularity of the subscriber, the degree of competition of articles included in the newsletter, and the degree of spillage;
And the like.

Further, in the distribution device according to the above aspect,
A reception unit for receiving a draft of the article;
A presentation unit that presents, when the draft is accepted, the degree of competition of the commodity according to the commodity information described in the article according to the draft, or the number of the subscribers satisfying the non-spill condition;
And the like.

Further, in the distribution device according to the above aspect,
The article describes product information for a plurality of products,
The competition degree calculation unit calculates the competition degree for a product having a predetermined product attribute among the plurality of products,
The distribution unit is characterized in that the distribution unit distributes the newsletter to a subscriber satisfying the non-spill condition with respect to the competition ratio.

The delivery method according to the second aspect of the present invention is
A delivery method executed by the delivery device,
The regularity of the subscriber to the shop who subscribes to the newsletter issued by the shop, and the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell products. Regular degree calculation process which is calculated based on
An extraction process in which the distribution device extracts product information described in an article to be distributed to the subscriber by the shop;
A competition degree calculation step in which the distribution device calculates the degree of competition of the article based on the sales conditions sold by the other shops in the electronic market based on the sales condition of the goods related to the extracted product information;
A distribution step of the distribution device distributing the newsletter including the article to the subscriber, the calculated regularity satisfying a non-spill condition with respect to the calculated degree of competition;
And the like.

The program according to the third aspect of the present invention is
Computer,
The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Calculation Department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shop to sell the product related to the extracted product information in the electronic market,
A distribution unit for distributing the newsletter including the article to the subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
It is characterized in that it functions as

A non-transitory computer readable information recording medium according to a fourth aspect of the present invention is
Computer,
The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Calculation Department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shop to sell the product related to the extracted product information in the electronic market,
A distribution unit for distributing the newsletter including the article to the subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
Record a program that is characterized as functioning as

  The non-transitory computer readable information storage medium can be distributed and sold independently of the computer. Here, the non-transitory information storage medium refers to a tangible information storage medium. The non-temporary information recording medium is, for example, a compact disk, a flexible disk, a hard disk, a magneto-optical disk, a digital video disk, a magnetic tape, a semiconductor memory or the like. The term "transitory information recording medium" refers to the transmission medium (propagation signal) itself. The temporary information recording medium is, for example, an electric signal, an optical signal, an electromagnetic wave or the like. The temporary storage area is an area for temporarily storing data and programs, and is, for example, a volatile memory such as a random access memory (RAM).

  According to the present invention, a distribution device, a distribution method, a program, and a non-temporary computer-readable information recording medium, capable of appropriately selecting a distribution destination according to the content of an article included in a newsletter, are provided. can do.

It is a figure which shows the relationship between the delivery apparatus which concerns on embodiment of this invention, a subscriber terminal, a shop terminal, and a shopping server. It is a figure for demonstrating an example of the communication performed between the delivery apparatus which concerns on embodiment of this invention, a subscriber terminal, a shop terminal, and a shopping server. It is a figure which shows schematic structure of the typical information processing apparatus by which the delivery apparatus concerning embodiment of this invention is implement | achieved. It is a figure showing the outline composition of the distribution device concerning an embodiment. It is a figure for explaining a newsletter. It is a figure for demonstrating a regularity degree table. It is a figure for demonstrating a reaction history table. It is a figure for demonstrating an outflow degree table. It is a figure for demonstrating the message shown to a shop. It is a flow chart for explaining the distribution processing which the distribution device concerning an embodiment performs.

(1. Overall configuration)
The distribution apparatus 100 according to the embodiment of the present invention is connected to the Internet 500 as shown in FIG. In addition to the distribution apparatus 100, a plurality of subscriber terminals 200, a plurality of shop terminals 300, and a shopping server 400 are connected to the Internet 500.

  The distribution device 100 is a device that distributes the newsletter to a subscriber who subscribes (subscribes to and subscribes) a newsletter issued by a shop selling products in the electronic market.

  The subscriber terminal 200 is a terminal used by a subscriber.

  The shop terminal 300 is a terminal used by a shop that sells products in the electronic market. The shop sends a newsletter created by the shop to the subscriber via the distribution device 100.

  The shopping server 400 is a server that manages the electronic market.

  FIG. 2 illustrates an example of communication performed between the distribution device 100, the subscriber terminal 200, the shop terminal 300, and the shopping server 400.

  The shop terminal 300 transmits the newsletter created by the shop to the distribution device 100 (1).

  The distribution apparatus 100 transmits, to the shopping server 400, a transmission request for transmitting the action in the electronic market of the subscriber who has subscribed to the newsletter of the shop that has sent the newsletter (2).

  The shopping server 400 transmits the action of the corresponding subscriber to the distribution device 100 in response to the transmission request (3).

  The distribution apparatus 100 calculates the subscriber's regularity based on the received action (4).

  In addition, the distribution apparatus 100 extracts the product information described in the article included in the received newsletter (5).

  The distribution apparatus 100 transmits, to the shopping server 400, a transmission request for transmitting the sales conditions in another shop which is in competition with the shop that has created the newsletter, for the product related to the extracted product information (6).

  In response to the transmission request, the shopping server 400 transmits, to the distribution device 100, the sales conditions in the competing other shop for the product related to the extracted product information (7).

  The distribution apparatus 100 calculates the degree of competition of the articles included in the newsletter based on the received sales conditions (8).

  The distribution apparatus 100 determines whether the subscriber's regularity satisfies the non-spill condition with respect to the degree of article contention (9).

  The distribution apparatus 100 distributes the newsletter to the subscriber terminal 200 whose regularity condition satisfies the non-spill condition (10).

  Communication performed between distribution device 100, subscriber terminal 200, shop terminal 300 and shopping server 400 is not limited to the above. For example, the communication of (6) to (8) may be performed before the communication of (2) to (4).

(2. Outline configuration of information processing apparatus)
A schematic configuration of a typical information processing apparatus 600 in which the distribution apparatus 100 according to the embodiment of the present invention is realized will be described.

  As shown in FIG. 3, the information processing apparatus 600 includes a central processing unit (CPU) 601, a read only memory (ROM) 602, a RAM 603, a storage device 604, a network interface card (NIC) 605, and an image. A processing unit 606, an audio processing unit 607, a display 608, a speaker 609, and a controller 610 are provided.

  The CPU 601 controls the overall operation of the information processing apparatus 600, is connected to each component, and exchanges control signals and data.

  The ROM 602 stores an operating system program and various data necessary for controlling the operation of the entire information processing apparatus 600.

  A RAM 603 is for temporarily storing data and programs, and holds programs and data read from the storage device 604, and other data necessary for communication.

  The storage device 604 includes a hard disk, a flash memory, and the like, and stores data to be processed by the information processing apparatus 600. In addition, the storage device 604 may be configured to include a device or the like that reads data from a non-temporary computer-readable information recording medium such as a CD (Compact Disc).

  The NIC 605 is for connecting the information processing apparatus 600 to a computer communication network such as the Internet, and exchanges information with other information processing apparatuses via the NIC 605.

  The image processing unit 606 processes data read from the storage device 604 or the like by an image processing processor provided in the CPU 601 or the image processing unit 606, and records the processed data in a frame memory provided in the image processing unit 606. The image information recorded in the frame memory is converted to a video signal at a predetermined synchronization timing and output to the display 608.

  The audio processing unit 607 converts the data read from the storage device 604 or the like into an analog audio signal and causes the speaker 609 to output the signal.

  The controller 610 receives an instruction input from the user.

  The distribution apparatus 100 implemented in the information processing apparatus 600 will be described below with reference to FIGS. 1 to 10. When the information processing apparatus 600 is powered on, a program to function as the distribution apparatus 100 according to the embodiment is executed, and the distribution apparatus 100 according to the embodiment is realized.

(3. Outline Configuration of Delivery Device of Embodiment)
As shown in FIG. 4, the distribution apparatus 100 according to the embodiment has a regularity degree calculation unit 101, an extraction unit 102, a competition degree calculation unit 103, a distribution unit 104, an acquisition unit 105, and an outflow degree calculation unit 106. , Adjustment unit 107, reception unit 108, and presentation unit 109. The acquisition unit 105, the outflow degree calculation unit 106, the adjustment unit 107, the reception unit 108, and the presentation unit 109 can be omitted.

  In the present embodiment, the CPU 601 and the NIC 605 cooperate with each other to function as the regularity degree calculation unit 101, the extraction unit 102, the competition degree calculation unit 103, the distribution unit 104, the acquisition unit 105, the reception unit 108, and the presentation unit 109. . Further, the CPU 601 functions as the outflow degree calculating unit 106 and the adjusting unit 107.

  The regular degree calculating unit 101 is based on the regular degree for the shop of the subscriber who subscribes to the newsletter issued by the shop based on the behavior of the shop and the electronic market where the other shops competing with the shop sell products. Calculate

  The newsletter is an e-mail created and issued by a shop selling products in the electronic market. For example, it is assumed that a shop x1 selling products in the electronic market has created the newsletter 800 of FIG. The newsletter 800 includes an article 810, and the article 810 includes a text of an item description and a URL (Uniform Resource Locator) 811 of a sale page of the item. Hereinafter, it is assumed that the article 810 is an article for advertising the product A.

  A subscriber is a person who subscribes to a newsletter issued by a shop that sells products in the electronic market. For example, it is assumed that subscribers x1-1 to x1-m (m is an arbitrary natural number) subscribes to the newsletter of shop x1.

  The regularity degree indicates the degree to which the subscriber uses a specific shop in the electronic market, such as the subscriber visiting a specific shop in the electronic market or purchasing a product. For example, the degree of regularity takes values of “1” to “5”, and the larger the value, the higher the degree of regularity.

  Other shops are shops that compete with the shop that issued the newsletter, and are shops that sell similar products or target consumers of the same class. For example, in the electronic market, it is assumed that other shops competing with the shop x1 are shops x2 to xn (n is an arbitrary natural number).

  The action of the subscriber in the electronic market is an action that can infer the degree of usage of a particular shop by the subscriber. For example, subscribing to product purchases at e-market shops and other competing shops, and newsletters from other competing shops.

  For example, the regularity degree calculation unit 101 purchases the regularity degree with respect to the shop x1 of the subscribers x1-1 to x1-m and the purchase of each of the subscribers in the other shops x2 to xn competing with the shop x1 and the shop x1. Calculate based on the history.

  For example, the regularity degree of the subscriber x1-1 is larger as a value obtained by dividing the number of purchases at the shop x1 by the subscriber x1-1 by the total number of purchases at the shop x1 by the subscriber x1-1 and other shops x2 to xn , Set so that the degree of regularity for the shop x1 is high.

  For example, the value of “(number of purchases at shop x 1) / (total number of purchases at shop x 1 and other shops x 2 to x n)” is “0 or more and less than 0.1”, “0.1 or more and less than 0.2 In the case of “0.2 or more and less than 0.3”, “0.3 or more and less than 0.4” and “0.4 or more”, the regularity is “1”, “2”, “3”, respectively Set “4” and “5”.

  It should be noted that the purchase history used when calculating the regularity is not limited to the number of purchases, and the regularity may be calculated based on the purchase amount. For example, as the value of “(average purchase price at shop x1) / (average purchase price at shop x1 and other shops x2 to xn)” is larger, the degree of regularity to shop x1 is set to be higher. May be

  Alternatively, the regular degree calculating unit 101 calculates the regular degree for the shop x1 of the subscriber x1-1 based on the number of subscribed newsletters of other shops x2 to xn competing with the shop x1. For example, the smaller the number subscribed to the newsletters of other shops, the higher the regularity is set.

  For example, the value of “(number subscribed to newsletter of shop x1) / (number subscribed to newsletter of shop x1 and other shops x2 to xn)” is “0 or more and less than 0.1 In the case of "0.1 or more and less than 0.2", "0.2 or more and less than 0.3", "0.3 or more and less than 0.4", and "0.4 or more", the regularity is " Set as 1 "," 2 "," 3 "," 4 "and" 5 ".

  Also, the regular degree calculating unit 101 may calculate the regular degree of the subscriber based on both the purchase history and the number of subscribes to newsletters of other shops. For example, the average of the regularity determined from the number of purchases and the regularity determined from the number of subscribed may be the final regularity of the subscriber.

  When the degree of regularity calculation unit 101 calculates the degree of regularity, for example, the degree of regularity calculation unit 101 registers the degree of regularity in the regularity degree table 700a of FIG. The regularity degree table 700 a may be stored in the distribution device 100 or may be stored in an external device.

  In the regular degree table 700a, a shop ID 700a1, a subscriber ID 700a2, and a regular degree 700a3 are registered in association with each other. For example, the first line of the regularity degree table 700a of FIG. 6 is the subscriber x1-1 (subscriber ID 700a2 is "x1-1") who has subscribed to the newsletter of the shop x1 (shop ID 700a1 is "x1"). Indicates that the regularity degree 700a3 for the shop x1 is "5".

  The extraction unit 102 extracts the product information described in the article to be delivered to the subscriber by the shop.

  For example, it is assumed that the shop x1 has created the newsletter 800 of FIG. The extraction unit 102 acquires the article 810 included in the newsletter created by the shop x1, and extracts the URL 811 of the product sales page described in the acquired article.

  The degree-of-competitiveness calculation unit 103 calculates the degree of competitiveness of the article based on the sales conditions that another shop sells the product related to the extracted product information in the electronic market.

  The degree of competition indicates the possibility that a subscriber who has read an article searches for better sales conditions and purchases products sold by other shops. Hereinafter, the purchase of a product sold by another shop is referred to as "spill". The degree of competition takes, for example, a value of “1” to “5”, and the larger the value, the higher the possibility of outflow.

  The sales conditions sold by other shops include, for example, (a) whether or not the goods related to the product information extracted by the other shops are sold, and (b) the sales price of the other shops creates a newsletter (C) Whether the reduction point rate of other shops is higher than the reduction point rate of the shop that created the newsletter, (d) It is extracted in other shops Whether the product related to the product information is advertised as a featured product, (e) whether the shipping costs of other shops are less than the shipping costs of the shop that created the newsletter, (f) shipping costs of other shops are free It is whether or not the purchase price to become is lower than the purchase price to become free shipping in the shop that created the newsletter.

  Here, the redemption point rate is an awarding rate to the selling price of points that can be used for payment instead of cash. In addition, the products of interest are, for example, products for sale designated by each shop for attracting customers, and products for sale and the like.

  For example, in the case of calculating the degree of competition of the article 810 of the newsletter 800 created by the shop x1 based on the sales condition (a), the degree of competition calculation unit 103 determines that the product A described in the goods sales page of the shop x1 is The shop server 400 is inquired whether the shops x2 to xn are selling, and the competition degree is set higher as the number of shops selling the product A among the other shops x2 to xn increases.

  For example, the value of “(number of other shops selling product A) / (number of other shops x2 to xn (= n−1))” is “0 or more and less than 0.2”, “0. In the case of 2 or more and less than 0.4, "0.4 or more and less than 0.6", "0.6 or more and less than 0.8" and "0.8 or more", the competition degree "1" and "2" respectively Set “3”, “4” and “5”.

  Also, for example, when the degree of competition of the article 810 of the newsletter 800 created by the shop x1 is calculated based on the sales condition (b), the degree-of-competition calculation unit 103 determines that the shop x1 and other shops x2 to xn shop x1. The sales price of product A listed on the product sales page is inquired to the shopping server 400, and among the other shops x2 to xn, the competition price is the more the number of other shops whose sales price for product A is lower than the sales price of shop x1. Set high.

  For example, the value of “(the number of other shops whose selling price is lower than the shop that created the newsletter) / (the number of other shops x2 to xn)” is “0 or more and less than 0.2”, “0.2 or more In the case of "less than 0.4", "0.4 or more and less than 0.6", "0.6 or more and less than 0.8" and "0.8 or more", the degree of competition "1", "2", respectively Set “3”, “4” and “5”.

  Also, for example, when the degree of competition of the article 810 of the newsletter 800 created by the shop x1 is calculated based on the sales condition (c), the degree-of-competition calculation unit 103 determines that the shop x1 and other shops x2 to xn shop x1. Inquires the shopping server 400 about the reduction point rate of the product A listed on the product sales page, so that among the other shops x2 to xn, there are more other shops where the reduction point rate of the product A is higher than the reduction point rate of the shop x1 Set the degree of competition high.

  For example, the value of “(the number of other shops with a reduction point rate higher than the shop that created the newsletter) / (the number of other shops x2 to xn)” is “0 or more and less than 0.2”, “0.2 In the case of "more than 0.4", "0.4 or more and less than 0.6", "0.6 or more and less than 0.8" and "0.8 or more", the degree of competition "1", "2" respectively , “3”, “4” and “5”.

  Further, for example, when the degree of competition of the article 810 of the newsletter 800 created by the shop x1 is calculated based on the sales condition (d), the degree-of-competition calculation unit 103 determines the product A described on the product sales page of the shop x1. Is inquired to the shopping server 400 as to whether or not other shops x2 to xn are selling as a notable item, and the competition among the other shops x2 to xn having more shops selling item A as a notable item Set the degree high.

  For example, the value of “(the number of other shops selling product A as a target product) / (the number of other shops x2 to xn)” is “0 or more and less than 0.2”, “0.2 or more and 0 .4 or less, "0.4 or more and less than 0.6", "0.6 or more and less than 0.8" and "0.8 or more" respectively, the competition levels "1", "2", " Set to 3 "," 4 "and" 5 ".

  Also, for example, when the degree of competition of the article 810 of the newsletter 800 created by the shop x1 is calculated based on the sales conditions (e), the degree-of-competition calculation unit 103 determines that the shop x1 and other shops x2 to xn shop x1. Inquire the shipping cost of product A listed on the product sales page to shopping server 400, and set the degree of competition higher as there are many other shops where the shipping cost of product A is lower than the shipping cost of shop x1 among other shops x2 to xn Do. Alternatively, in the case where the shipping fee for the product A of the shop x1 is charged, the competition degree may be set higher as the number of the shops for which the shipping fee for the product A is free among the other shops x2 to xn.

  For example, the value of “(number of other shops for which shipping costs are lower than the shop that created the newsletter) / (number of other shops x2 to xn)” is “0 or more and less than 0.2”, “0.2 or more 0 .4 or less, "0.4 or more and less than 0.6", "0.6 or more and less than 0.8" and "0.8 or more" respectively, the competition levels "1", "2", " Set to 3 "," 4 "and" 5 ".

  Also, for example, in the case of calculating the degree of competition of the article 810 of the newsletter 800 created by the shop x1 based on the sales condition (f), the competition degree calculation unit 103 determines that the shipping costs in the shop x and the other shops x2 to xn are The shopping server 400 is inquired about the purchase price to be free, and among the other shops x2 to xn, the competition price is set higher, as the purchase price for free shipping becomes lower than the shop x1.

  For example, the value of “(the number of other shops for which the purchase price is cheaper for shipping to be free from the shop that created the newsletter) / (the number of other shops x2 to xn)” is “0 or more and less than 0.2. In the case of “0.2 or more and less than 0.4”, “0.4 or more and less than 0.6”, “0.6 or more and less than 0.8” and “0.8 or more”, the respective degrees of competition “ Set as 1 "," 2 "," 3 "," 4 "and" 5 ".

  The competition degree calculating unit 103 may calculate the degree of competition of articles based on a plurality of sales conditions among the sales conditions (a) to (f). For example, the degree of competition may be calculated based on each of the sales conditions (a) to (f) as described above, and the average thereof may be used as the final degree of competition of the article.

  In addition, regarding sales conditions (b) and (c), the difference obtained by subtracting the sales price / reduction point ratio of shop x1 from the sales price / reduction point ratio of the other shops x2 to xn is determined, and the larger the difference, the more the competition The degree may be set high.

  Further, with regard to the selling conditions (a) to (f), instead of calculating the degree of competition based on the ratio as described above, the degree of competition may be set higher as the number of shops per se increases.

  In addition to sales conditions (a) to (f), (g) whether or not an article related to the product related to the extracted product information is described in the newsletter distributed by the other shop in the past It may be a condition.

  Generally, it is difficult for a shop to obtain newsletters distributed by other shops in the electronic market, and the electronic market can not provide the content of the newsletter without the permission of the issuing shop. Therefore, whether or not an article related to the product related to the extracted product information is described in the newsletter of another shop is not provided to the shop and is not known to the shop. Therefore, when the sales condition (g) is used to calculate the degree of competition, it is used in the calculation in combination with the other sales conditions (a) to (f).

  The distribution unit 104 distributes a newsletter including articles to subscribers whose calculated regularity condition satisfies the non-spill condition with respect to the calculated degree of competition.

  The non-spill condition is a condition under which it is considered that subscribers who view articles created by a shop do not flow to other shops when this condition is satisfied, and is represented by a value of regularity with respect to the degree of competition. If the degree of competition of articles created by a shop is low, the subscriber who has read the article is unlikely to leak to other shops, and thus the news is included in the articles with less frequent subscribers to the shop that created the article. Even if the letter is delivered, subscribers are unlikely to leak to other shops. On the other hand, if the degree of competition of articles created by a shop is high, subscribers who read the article are likely to leak to other shops, so if they are not regular subscribers, they will leak to other shops. There is a risk of

  For example, in the non-spill condition, when the degree of competition is “1”, the degree of regularity is “1 or more”, and when the degree of competition is “2”, the degree of regularity is “2 or more”, and when the degree of competition is “3” When the degree of regularity is "3 or more" and the degree of competition is "4", the degree of regularity is "4 or more", and when the degree of competition is "5", the degree of regularity is "5".

  For example, it is assumed that the competition degree of the article 810 of the newsletter 800 created by the shop x1 is calculated as “3”. The distribution unit 104 refers to the regularity table 700a of FIG. 6 to identify the subscriber having a regularity of “3 or more” among the subscribers x1-1 to x1-m subscribed to the newsletter of the shop x1. And deliver the newsletter 800 to the identified subscribers.

  According to the present embodiment, since the newsletter can be distributed to subscribers who can not easily flow to other shops according to the content of the articles included in the newsletter, the shop creating the newsletter appropriately distributes the distribution destination. It can be selected. Also, without disclosing the contents of the newsletters of other shops to the shops, the newsletters created by the shops can be distributed to valid subscribers in consideration of the sales situation of the other shops.

  The acquisition unit 105 acquires responses of the subscriber to which the newsletter has been distributed, to the product related to the product information described in the article included in the newsletter.

  The reaction to the product means that the subscriber who has received the delivery purchases the product related to the product information described in the newsletter.

  For example, after the newsletter is delivered, the acquiring unit 105 passes a certain period of time, and then the subscriber who has delivered the newsletter to the shopping server 400 has purchased the product related to the article included in the newsletter. In case of purchase, inquire which shop you purchased from. Then, the acquiring unit 105 registers the acquired reaction in the reaction history table 700b of FIG. 7 in association with the degree of competition of the article and the degree of regularity of the subscriber.

  The reaction history table 700b includes the shop ID 700b1 of the shop that has issued the newsletter, the article ID 700b2 of the articles included in the newsletter, the degree of competition 700b of the articles, and the subscriber ID 700b4 of the subscriber to which the newsletter was delivered. The regularity degree 700b5 of the subscriber and the reaction 700b6 of the subscriber to the article related to the article are registered in association with each other. For example, the first line of the reaction history table 700b in FIG. 7 indicates the degree of competition 700b3 of the article 810 (article ID 700b2 is "810") included in the newsletter issued by the shop x1 (shop ID 700b1 is "x1"). The regularity degree 700b5 for the shop x1 of the subscriber x1-1 (subscriber ID 700b4 is "x1-1") which is "3" and has received the newsletter is "5", and the subscriber x1-1 is the article 810 It indicates that the product concerned has been purchased from the shop x1 (the reaction 700b6 is "purchased from x1").

  The outflow degree calculation unit 106 calculates the outflow degree indicating the rate at which the subscriber purchased at another shop, based on the acquired response.

  The outflow rate is the rate at which the subscriber who has received the newsletter distributes the product related to the article included in the newsletter from the shop that has issued the newsletter but not from another shop.

  For example, the outflow degree calculation unit 106 refers to the reaction history table 700b of FIG. 7 to obtain the outflow degree for each combination of the degree of contention of the article and the degree of regularity of the subscriber. The outflow degree calculation unit 106 registers the outflow degree obtained in the outflow degree table 700 c of FIG. 8.

  In the outflow degree table 700c, the competition degree 700c1 of the article included in the newsletter, the regularity degree 700c2 of the subscriber to which the newsletter is delivered, and the outflow degree 700c3 are registered in association with each other. For example, the first line of the outflow degree table 700c in FIG. 8 indicates that a product related to an article having a competition degree 700c1 of “1” is “0.6” by a subscriber having a regularity degree 700c2 of “1” The 700c3 indicates that "0.6" was purchased from another shop, not the shop that issued the newsletter.

  The adjustment unit 107 adjusts the non-spill condition based on the regularity of the subscriber, the degree of competition of articles included in the newsletter, and the degree of spillage.

  For example, the adjusting unit 107 refers to the outflow degree table 700c of FIG. 8 and adjusts the degree of regularity at which the outflow degree is 0.5 or less with respect to the degree of competition to be a non-outflow condition. For example, change the non-outflow condition, in which the degree of regularity is set to "1 or more" when the degree of competition is "1", to "2 or more" when the degree of competition is "1." .

  Then, from the next time on, the distribution unit 104 distributes the newsletter including the articles whose competition degree is calculated to be “1” to the subscribers whose regularity degree is “2 or more”.

  In this way, the product related to the article included in the newsletter issued by the shop is leaked to the other shop by selecting the distribution destination based on the rate at which the subscriber who received the distribution purchased in the other shop The potential subscribers can be adjusted not to deliver the newsletter.

  The reception unit 108 receives a draft of an article.

  For example, the reception unit 108 receives a draft of an article 810 of the newsletter 800 from the shop x1.

  When the draft is accepted, the presentation unit 109 presents the degree of competition of the product related to the product information described in the article related to the draft, or the number of subscribers satisfying the non-spill condition.

  For example, when a draft of an article 810 is received from the shop x1, the extraction unit 102 extracts the product information of the article 810, and the competition degree calculation unit 103 calculates the degree of competition of the article. Then, the presentation unit 109 presents the calculated degree of competition to the shop x1. Alternatively, when the draft of the article 810 is accepted from the shop x1, the degree of regularity calculation unit 101 calculates the degree of regularity of the subscribers x1-1 to x1-m of the shop x1, and the extraction unit 102 extracts the product information of the article 810. The competition degree calculation unit 103 extracts the degree of competition of the article. Then, when the delivery unit 104 identifies a subscriber satisfying the non-spill condition, the presentation unit 109 presents the number of the identified subscribers to the shop x1.

  For example, as shown in FIG. 9, a message 900 is transmitted to the shop terminal 300 of the shop x1.

  In addition, although the regularity of each subscriber may be presented to the subscribed shop, when the regularity is calculated based on whether or not the newsletters of other shops are subscribed, the other shops It does not provide information on the status of newsletter subscriptions.

  In addition, when the draft of an article includes product information on a plurality of products, the presentation unit 109 may present the degree of competition obtained from each of the product information. Also, for each product, the number of subscribers meeting the non-spill condition may be presented.

  Such a configuration can provide useful information for the shop when creating an article included in the newsletter. Also, since the subscribing status of other shops is not presented to the shops, it is possible to provide useful information while concealing undisclosed information of the other shops.

  Further, the article describes product information for a plurality of products, and the competition degree calculation unit 103 calculates the competition degree for a product having a predetermined product attribute among the plurality of products, and the distribution unit 104 is a regularity degree However, the newsletter may be distributed to the subscriber who satisfies the non-spill condition for the degree of competition.

  The predetermined product attribute is, for example, based on the sales policy of the shop, such as whether or not the product is a product of interest, or a product (accompanying product) aimed to be purchased together with the product of interest. It is an attribute. The predetermined product attribute can be appropriately set by the user / administrator of the distribution apparatus 100.

  For example, it is assumed that information about a plurality of products A, B, and C is described in an article created by the shop x1, the product A is a product of interest, and the products B and C are ancillary products. The shop x1 transmits a newsletter to the distribution device 100, designating that the product A is the product of interest. The degree of competition calculating unit 103 calculates the degree of competition for the product A which is the product of interest, and the distributing unit 104 determines that the regularity of the subscribers x1-1 to x1-m is not the outflow condition with respect to the degree of competition for the product A The subscriber who is satisfied is delivered a newsletter including articles on products A, B and C.

  With such a configuration, it is possible to select a delivery destination in consideration of the sales policy of the shop.

(4. Operation of Delivery Device of Embodiment)
The operation of the delivery apparatus 100 of the present embodiment will be described. For example, when the power is turned on, the distribution apparatus 100 starts the distribution process shown in FIG.

  The reception unit 108 determines whether a draft of the newsletter has been received from the shop (step S101). If the accepting unit 108 determines that the draft of the newsletter has been accepted (step S101; Yes), the frequent degree calculating unit 101 acquires the behavior of the subscriber who subscribes to the newsletter of the shop (step S102). On the other hand, when the accepting unit 108 determines that the draft of the newsletter has not been accepted (step S101; No), the process waits on standby.

  For example, when the reception unit 108 receives a draft of an article 810 of the newsletter 800 from the shop x1, the frequent degree calculation unit 101 determines the subscribers x1-1 to x1-m subscribed to the newsletter of the shop x1. Acquire purchase histories in the shop x1 and the other shops x2 to xn competing with the shop x1. On the other hand, if it does not receive a draft from any of the shops selling products in the electronic market, it stands by as it is.

  The regular degree calculating unit 101 calculates the regular degree of the subscriber to the shop based on the acquired behavior (step S103).

  For example, the degree of regularity calculation unit 101 sets the degree of regularity of the subscriber x1-1 to “(number of purchases by the subscriber x1-1 at the shop x1) / (number of purchases by the subscriber x1-1 at the shop x1 and other shops x2 to xn As the value of “total purchase count)” is larger, the regularity degree to the shop x1 is set to be higher. The regularity calculating unit 101 sets the regularity of the subscribers x1-2 to x1-m in the same manner.

  The extraction unit 102 extracts the product information described in the article to be distributed to the subscriber by the shop (step S104).

  For example, the extraction unit 102 extracts the URL 811 of the sale item page described in the article 810 included in the newsletter 800 created by the shop x1.

  The competition degree calculation unit 103 acquires sales conditions under which another shop sells the product related to the product information extracted in the electronic market (step S105).

  For example, the competition degree calculating unit 103 acquires information on the sales situation indicating whether or not the other shops x2 to xn sell the product A described in the URL 811 of the product sales page.

  The competition degree calculation unit 103 calculates the degree of competition of the article based on the sales conditions (step S106).

  For example, the competition degree calculation unit 103 sets the competition degree higher as the value of “(the number of other shops selling the product A) / (the number of other shops x2 to xn)” is larger.

  The distribution unit 104 determines whether the calculated degree of regularity satisfies the non-spill condition with respect to the calculated degree of competition (step S107).

  For example, when the competition degree of the article 810 created by the shop x1 is calculated as “3” and the non-spill condition is determined as the competition degree “3”, the distribution unit 104 determines that the regularity degree is “3 or more” With reference to the regularity degree table 700a of FIG. 6, among the subscribers x1-1 to x1-m subscribed to the newsletter of the shop x1, the subscriber having the regularity degree of "3 or more" is specified.

  The presentation unit 109 presents the degree of competition of the product according to the product information described in the article relating to the draft, or the number of subscribers satisfying the non-spill condition (step S108).

  For example, as illustrated in FIG. 9, the presentation unit 109 transmits, to the shop terminal 300 of the shop x1, a message 900 in which the degree of competition of the article 810 and the number of subscribers satisfying the non-spill condition are described.

  The distribution unit 104 determines whether an instruction to distribute the newsletter has been received from the shop that created the draft (step S109). If the distributing unit 104 determines that the distribution instruction of the newsletter has been received from the shop that created the draft, the distributing unit 104 distributes the newsletter to the subscriber specified in step S107 (step S110). On the other hand, when determining that the distribution instruction of the newsletter has not been received from the shop that created the draft (step S109; No), the distribution unit 104 returns to step S101.

  For example, after presenting the degree of competition of article 810 and the number of subscribers satisfying the non-spill condition to shop x1, upon receiving an instruction to distribute newsletter 800 including article 810 from shop x1, distribution unit 104 receives Among the subscribers x1-1 to x1-m subscribed to the newsletter, the newsletter 800 is distributed to the subscribers satisfying the non-spill condition. On the other hand, when the instruction to distribute the newsletter 800 is not received from the shop x1, the process returns to step S101.

  Note that the distribution process is not limited to the above. For example, in step S107, the acquisition unit 105 acquires the reaction to the product described in the newsletter of the subscriber to which the newsletter has been distributed from the distribution apparatus 100 in the past The degree calculating unit 106 calculates the degree of outflow, and the adjusting unit 107 adjusts the non-outflow condition based on the subscriber's regularity, the degree of competition of articles included in the newsletter, and the degree of outflow. May be Then, based on the adjusted non-spill condition, the distribution unit 104 determines whether or not the non-spill condition is satisfied.

  The present invention is capable of various embodiments and modifications without departing from the broad spirit and scope of the present invention. In addition, the embodiment described above is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is indicated not by the embodiments but by the claims. And, various modifications applied within the scope of the claims and the meaning of the invention are considered to be within the scope of the present invention.

DESCRIPTION OF SYMBOLS 100 Distribution apparatus 101 regularity calculation part 102 extraction part 103 competition degree calculation part 104 distribution part 105 acquisition part 106 outflow degree calculation part 107 adjustment part 108 reception part 109 presentation part 200 subscriber terminal 300 shop terminal 400 shopping server 500 Internet 600 information processing Device 601 CPU
602 ROM
603 RAM
604 storage device 605 NIC
606 image processing unit 607 audio processing unit 608 display 609 speaker 610 controller 800 newsletter 810 article 811 URL
900 messages

Claims (7)

The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Degree calculation department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shops to sell the product related to the extracted product information in the electronic market;
A distribution unit that distributes the newsletter including the article to a subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
A delivery apparatus comprising: An acquisition unit for acquiring a response to a product related to product information described in an article included in the newsletter, of the subscriber to which the newsletter has been distributed;
An outflow degree calculating unit that calculates an outflow degree indicating a rate at which the subscriber purchases at the other shop based on the acquired response;
A control unit that adjusts the non-spill condition based on the regularity of the subscriber, the degree of competition of articles included in the newsletter, and the degree of spillage;
The apparatus according to claim 1, further comprising: A reception unit for receiving a draft of the article;
A presentation unit that presents, when the draft is accepted, the degree of competition of the commodity according to the commodity information described in the article according to the draft, or the number of the subscribers satisfying the non-spill condition;
The apparatus according to claim 1, further comprising: The article describes product information for a plurality of products,
The competition degree calculation unit calculates the competition degree for a product having a predetermined product attribute among the plurality of products,
The distribution device according to claim 1, wherein the distribution unit distributes the newsletter to the subscriber that satisfies the non-spill condition with respect to the competition degree. A delivery method executed by the delivery device,
The regularity of the subscriber to the shop who subscribes to the newsletter issued by the shop, and the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell products. Regular degree calculation process which is calculated based on
An extraction process in which the distribution device extracts product information described in an article to be distributed to the subscriber by the shop;
A competition degree calculation step in which the distribution device calculates the degree of competition of the article based on the sales conditions sold by the other shops in the electronic market based on the sales condition of the goods related to the extracted product information;
A distribution step of the distribution device distributing the newsletter including the article to the subscriber, the calculated regularity satisfying a non-spill condition with respect to the calculated degree of competition;
A delivery method comprising: Computer,
The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Calculation Department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shop to sell the product related to the extracted product information in the electronic market,
A distribution unit for distributing the newsletter including the article to the subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
A program characterized by acting as Computer,
The regularity with respect to the shop of the subscriber who subscribes to the newsletter issued by the shop is calculated based on the behavior of the subscriber in the electronic market where the shop and other shops competing with the shop sell the goods Calculation Department,
An extraction unit for extracting product information described in an article to be delivered to the subscriber by the shop;
A competition degree calculation unit that calculates the degree of competition of the article based on the sales conditions for the other shop to sell the product related to the extracted product information in the electronic market,
A distribution unit for distributing the newsletter including the article to the subscriber whose non-spill condition satisfies the calculated regularity and the calculated competition;
A non-transitory computer-readable information storage medium storing a program characterized in that it functions as:

Images