JP3925446B2 - Sales promotion information extraction program, recording medium on which sales promotion information extraction program is recorded - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a sales promotion information extraction program for extracting a product similar to the preference information of a specific customer from the product database, and a sales for extracting a customer who seems to be interested in the field information of the specific product from the customer database. It relates to a promotion information extraction program.
[0002]
[Prior art]
In recent years, stores that provide various products to customers are often equipped with a product database and a customer database. The product database includes product identification ID, product name, field attribute, price, number of sales, purchaser age group, etc., and customer database includes customer identification ID, name, address, age, gender, family structure In many cases, purchase history, preference information, and the like are included.
[0003]
In order to achieve high sales at a low cost, the store uses customer data such as gender, age, and preference information contained in the customer database, and the customers that are likely to be interested in specific products Product guidance techniques have been used, such as extracting advertisements and sending advertisements of specific products to the extracted customers. For example, Patent Document 1, Patent Document 2, Patent Document 3, Patent Document 4, and Patent Document 5 below.
[0004]
[Patent Document 1]
JP 2002-351371 “Advertising Information Providing System”
[0005]
[Patent Document 2]
Japanese Patent Application Laid-Open No. 8-329148 “Catalog Creation System”
[0006]
[Patent Document 3]
JP-A-10-240825 “Product Guidance Information Editing System and Product Guidance Information Printing System”
[0007]
[Patent Document 4]
Japanese Patent Application Laid-Open No. 11-96214 “Product Information Providing System”
[0008]
[Patent Document 5]
JP 2000-137724 “Product Information Providing System and Recording Medium”
[0009]
[Problems to be solved by the invention]
However, products such as “movies”, “books”, “music”, “theatrical tickets”, and “arts” have been difficult to uniquely define the product field. Further, the field attribute of the product database for managing the product is set by a specific person or a specific group having a relationship with the product database. For example, the field attributes of a plurality of rental videos handled by a rental video store are set by a salesclerk of the rental video store.
[0010]
However, in this case, the field attribute of the product is based on the subjectivity of the specific person or group who set the field attribute, and other people feel different for the same product There was also. For example, even if a rental video store clerk sets a field attribute as “suspense” and the story includes an element of “love romance”, the movie is called “love romance”. Some people feel that the movie belongs to this field.
[0011]
There has been a problem in that appropriate guidance cannot be sent in the above cases when offering product guidance according to customer preferences. For example, when sending a product guide to a customer who likes “Labromance”, when searching for a product in the field “Labromance”, the “Suspense” as described above is set as the field, and the elements of “Labromance” This is because a product that contains is not searched.
[0012]
In the present invention, the field attribute values included in the product database are not limited to those set by a specific person such as a product provider or a specific group, and field attributes felt by a plurality of people who select the product are The purpose is to solve the above-mentioned problems and implement efficient sales promotion by providing a mechanism for adopting it as a product field attribute.
[0013]
[Means for Solving the Problems]
The present invention relates to a customer database that stores preference information related to a specific product group in association with a customer ID for identifying a customer; Said In association with a product ID for identifying individual products belonging to a specific product group, plural Field In the attribute field In a sales promotion information extraction system comprising a product database for storing information, the customer database, or a computer for obtaining sales promotion information from the product database, The customer database has the same fields as a plurality of field attribute fields that the product database has, With the transaction of the product included in the product database, the computer , Means for obtaining field attribute field information from information corresponding to the product ID of the product included in the product database, and a preference corresponding to the customer ID input with the product transaction in the customer database From the means for updating the information using the information in the field attribute field acquired from the product database, and the preference information corresponding to the customer ID input with the product transaction in the customer database, the field attribute field Means for obtaining the information, and means for updating the information corresponding to the product ID of the traded product in the product database using the information in the field attribute field obtained from the customer database; In response to an input of a specific customer ID, preference information corresponding to the input customer ID is acquired from the customer database, and each product field included in the product database Attribute field Means for comparing information, the preference information and the field Attribute field A field that corresponds to an input product ID in response to an input of a specific product ID, and to function as a means for calculating similarity to information, a means for extracting and displaying information on products with high similarity Attribute field Means for obtaining information from a customer database and comparing the customer information of each customer contained in the product database; Attribute field A sales promotion information extraction program that functions as means for calculating the degree of similarity between information and the preference information and means for extracting and displaying information on products having a high degree of similarity.
[0014]
DETAILED DESCRIPTION OF THE INVENTION
A basic form of the present invention will be described with reference to the drawings. In the present embodiment, the present invention is implemented for a video rental store and its customers.
[0015]
FIG. 1 shows the configuration of a sales promotion information extraction system provided in a rental video store. The sales promotion information extraction system 10 includes a settlement processing unit 12, an inventory determination unit 13, a product feature acquisition unit 14, a customer feature acquisition unit 17, an attribute matching unit 18, a product database 15, a customer database 16, Similarity determination unit 21, product guide transmission unit 22, product feature file 23, customer feature file 24, rental history file 25, product feature setting file 26, customer feature setting file 28, and inventory determination file 27 And an inventory product list 29.
[0016]
The store terminal 11 is an operation terminal for a store clerk to make a rental settlement or to browse a product rental status, and is connected to the sales promotion information extraction system 10.
[0017]
The settlement processing unit 12 has a function of executing fee settlement processing when a customer of the store lends or returns a rental video that is a product handled by the store.
[0018]
The stock determination unit 13 has a function of detecting a product group that matches the condition indicated by the store clerk. In this embodiment, a product with a relatively small number of rentals is called a stock product.
[0019]
The product feature acquisition unit 14 refers to the product database 15 and acquires the characteristic field attribute field possessed by the product data specified by the settlement processing unit 12 or the product data specified by the inventory determination unit 13. It has the function of saving in the product feature file 23.
[0020]
The customer feature acquisition unit 17 refers to the customer database 16, acquires the characteristic field attribute field possessed by the customer from the customer data of the customer specified by the settlement processing unit 12, and stores it in the customer feature file 24. Have a job.
[0021]
The product database 15 has, as fields, a product identification ID, a product title, a leading actor name, presence / absence of captions, a director name, a previous return date, a guidance text, and field attributes. FIG. 3 shows an example of a product database. The product database 15 further includes eight types of sub-fields of “SF”, “Love”, “Drama”, “Horror”, “War”, “Era drama”, “Anime”, “Nintendo” as field attributes. have. These have been conventionally regarded as one attribute of “field”.
[0022]
In addition, as the initial value of the product database 15, the value of each field is set by the rental video store clerk, and the sub-field of the field attribute field is also set as the initial value by the subject of the rental video store clerk.
[0023]
The customer database 16 has customer identification ID, name, address, telephone number, mail address, and field attribute as fields. FIG. 5 shows an example of a customer database. In the example of FIG. 5, as with the product database 15, the field attributes are “SF”, “Love”, “Drama”, “Horror”, “War”, “Drama”, “Anime”, “Nintendo” 8 types of fields.
[0024]
The customer database 16 is created when a new customer performs member registration for renting a video at the rental video store. The fields other than the field attribute field are set by the salesclerk of the rental video store, and the initial values of the field attribute field are all zero.
[0025]
The attribute matching unit 18 includes a customer data update unit 19 and a product data update unit 20.
[0026]
The customer data update unit 19 uses the product feature field stored in the product feature file 23 to increase or decrease the value of the same field as the product feature field in the customer data rental customer data in the customer database 16. Have a work to do.
[0027]
The product data update unit 20 uses the customer feature field stored in the customer feature file 24 to increase or decrease the value of the same field as the customer feature field in the designated product data in the product database 15. Have a job.
[0028]
The similarity determination unit 21 collates the feature field of a certain product acquired by the product feature acquisition unit 14 with the customer database 16, and the one having the same field as the feature field of each product has a high similarity. It has the function of determining and detecting customer data with high similarity.
[0029]
The product guide transmission unit 22 has a function of creating a product guide, using the customer data sent from the similarity determination unit 21, creating a product guide for each customer, and sending the product guide to a contact.
[0030]
The product feature file 23 is a place for storing the feature field of the target product. An example is shown in FIG.
[0031]
The customer feature file 24 is a place for storing the feature field of the target customer. An example is shown in FIG.
[0032]
The rental history file 25 is a place for storing a rental history of what products are borrowed from which customers and when. An example is shown in FIG.
[0033]
The product feature setting file 26 is a file in which settings for obtaining a feature field of product data are described. An example is shown in FIG.
[0034]
The customer feature setting file 28 is a file in which settings for obtaining a feature field of customer data are described. An example is shown in FIG.
[0035]
The inventory determination file 27 is a file that describes conditions for determining an inventory product. An example is shown in FIG.
[0036]
The inventory product list 29 is a place for storing the identification IDs of the products determined by the inventory determination unit 13 as inventory products. An example is shown in FIG.
[0037]
Next, “Hideki Sasaki” of customer identification ID “0003” in FIG. 5 which is an example of the customer database 16 rents “Work 4” in FIG. The flow of processing will be described with reference to FIG.
[0038]
Step S201 is a step executed when “Hideki Sasaki”, a customer, brings “Product 4”, which is a product to be rented, to the counter of the store.
[0039]
When the clerk checks the bar code provided for the “Product 4” and the bar code of the member card brought by the customer with the bar code checker provided to the store terminal 11 or the like, the settlement processing unit 12 Is a step of acquiring the product identification ID and the customer ID and carrying out the lending settlement.
[0040]
Step S202 is processing in which the payment processing unit 12 describes the payment processing performed in step S201 in the rental history file 25.
[0041]
In step S <b> 203, the product feature acquisition unit 14 acquires the feature field of the data of “Product 4” from the product database 15.
[0042]
What is characteristic is set in the product characteristic setting file 26, and an example is shown in FIG. The contents of the product feature setting file 26 include “data name to be matched”, “feature judgment”, “number of acquired”, and “increase / decrease value”.
[0043]
The “matching target data name”, which is the content of the product feature setting file 26, is a database name that is a target for optimizing the product data and is shown in FIG. In this example, “customer database” corresponds.
[0044]
“Characteristic Judgment” indicates under what conditions the characteristic field is acquired from the field attributes included in the target database. It is shown that a field name having a high attribute value is obtained from the above.
[0045]
The “number of acquisitions” indicates the number of fields acquired in the feature determination, and in this example, three acquisitions are indicated.
[0046]
The “increase / decrease value” corresponds to a value included in the customer database that increases or decreases the value of the field acquired from the feature determination. In this example, the value of the field in the product database, which is the same as the feature field acquired from the customer database, is increased by 3 points, 2 points, and 1 point.
[0047]
When the feature field is acquired from the data of “Product 4” in the product database 15 under the condition of the product feature setting file 26, “SF”, “war”, and “love” are obtained.
[0048]
Step S204 is a step in which the product feature acquisition unit 14 stores “SF”, “war”, and “love” in the feature field acquired in step S203 in the product feature file 23.
[0049]
In step S205, the customer feature acquisition unit 17 reads whether the customer who rented the product “Hideki Sasaki” is included in the customer database 16 from the card brought by “Hideki Sasaki”, This is a step of checking using the customer database 16. If the customer database 16 includes the identification ID “Hideki Sasaki”, the process proceeds to step S206. If the identification ID of “Hideki Sasaki” is not included, the process proceeds to step S210.
[0050]
Step S <b> 206 is a step in which the customer feature acquisition unit 17 acquires the feature field of the data “Hideki Sasaki” from the customer database 16.
[0051]
What is characteristic is set in the customer characteristic setting file 28, and an example is shown in FIG. The contents of the customer feature setting file 28 include “data name to be matched”, “feature judgment”, “number of acquisitions”, and “increase / decrease value”.
[0052]
The “matching target data name” that is the content of the customer feature setting file 28 is a database name that is a target for optimizing the customer data, and corresponds to a “product database” in this example.
[0053]
“Characteristic Judgment” indicates under what conditions the feature field is acquired from the field attribute included in the target database. In this example, from the field attribute values included in the product database, It is shown that a field name with a high attribute value is obtained.
[0054]
The “number of acquisitions” indicates the number of fields acquired in the feature determination, and in this example, three acquisitions are indicated.
[0055]
The “increase / decrease value” corresponds to a value included in the product database that increases or decreases the value of the field acquired from the feature determination. In this example, the value of the field in the customer database, which is the same as the feature field acquired from the product database, is increased by 3 points, 2 points, and 1 point.
[0056]
When the feature field is acquired from the data of “Hideki Sasaki” in the customer database 16 under the condition of the customer feature setting file 28, “Negative”, “Animation”, and “SF” are obtained.
[0057]
Step S207 is a step in which the customer feature acquisition unit 17 saves “customer”, “animation”, and “SF” of the feature field acquired in step S206 in the customer feature file 24.
[0058]
In step S208, the customer data update unit 19 acquires the feature field included in the product feature file 23, and the value of the same field in the customer database 16 is determined by the increase / decrease value in the customer feature setting file 28. This is a step to increase or decrease the value.
[0059]
In this example, the contents of the product feature file 23 are “SF”, “war”, and “love”, and the value of the “SF” field of “Hideki Sasaki” in the customer database 16 is assigned to the first feature. Increase / decrease value 3 to be added is set to 11. Next, the increment / decrement value 2 given to the second feature is added to 1 which is the value of the “war” field, and is set to 3. Next, 1 is added to the increase / decrease value given to the third feature to 7 which is the value of the “love” field. FIG. 11 shows the customer database 16 after the product characteristics are included in the customer data.
[0060]
In step S209, the product data update unit 20 acquires the feature field included in the customer feature file 24, and the value of the same field in the product database 15 is determined by the increase / decrease value in the product feature setting file 26. This is a step to increase or decrease the value.
[0061]
In this example, the contents of the customer feature file 24 are “negotiation”, “animation”, and “SF”, and the value of the “negotiation” field of “Product 4” in the product database 15 is assigned to the first feature. 3 of the increase / decrease value to be added is set to 3. Next, 2 is added to the increase / decrease value 2 given to the second feature to 1 which is the value of the “animation” field. Next, 1 is added to the increase / decrease value given to the third feature to 12 which is the value of the “SF” field, and is set to 13. The product database 15 after the customer features are included in the product data is shown in FIG.
[0062]
In this embodiment, the number of field attribute fields included in the product database 15 and the customer database 16 is fixed, but variable data having no attribute value field may be used.
[0063]
The above is the flow of processing when “Hideki Sasaki” with the customer identification ID “0003” rents “Work 4” in the product database 15.
[0064]
Next, the process flow of the inventory determination unit 13 will be described with reference to the drawings. The inventory determination unit 13 uses the rental history file 25 and the inventory determination file 27. As shown in FIG. 12, the inventory determination file 27 describes the number of days for inventory determination and the number of rotations for inventory determination. The contents of the stock determination file 27 are set by the store clerk from the store terminal 11.
[0065]
FIG. 13 is a flowchart showing the flow of processing of the inventory determination unit 13.
[0066]
Step S1301 is a step in which the stock determination unit 13 acquires 30 as the stock determination date from the stock determination file 27 and determines the search start date. If the current date is March 4, 2003, the search start date will be February 2, 2003, which is 30 days earlier than the current date.
[0067]
Step S1302 is a step in which the inventory determination unit 13 acquires one product from the product database 15.
[0068]
In step S1303, the inventory determination unit 13 determines the number of rentals up to the present from February 2, 2003, which is 30 days after the inventory determination date of the product acquired in step S1302. 25 to obtain. The rental history file 25 is shown in FIG. If the target product is the identification ID “0004”, the number of rentals is three.
[0069]
Step S1304 is a step in which the inventory determination unit 13 compares the number of times acquired in step S1303 with the inventory determination rotation number in the inventory determination file 27 to determine whether it is greater than the determination rotation number. If the number of rentals of the product is greater than the inventory determination rotational speed, the process proceeds to step S1306, and if the number of rental of the product is less than the inventory determination rotational speed, the process proceeds to step S1305. In the case of the product identification ID “0004”, the number of rentals is 3, the number of rotations for inventory determination is 4, and the number of rentals is small, so the process proceeds to step S1305.
[0070]
In step S 1305, the stock determination unit 13 adds the identification ID of the target product data to the stock product list 29. An example of the inventory product list 29 is shown in FIG.
[0071]
Step S1306 is a step in which the inventory determination unit 13 determines whether there is next data in the product database. If there is no next data, the process of the inventory determination unit 13 is terminated. If there is next data, the process returns to step S1302. The above is the process flow of the inventory determination unit 13.
[0072]
Next, by using the inventory product list 29 acquired by the inventory determination unit 13, a customer who seems to be interested in the products included in the inventory product list 29 is extracted from the customer database 16 and a product guide is sent. The flow will be described with reference to FIG.
[0073]
In step S1501, the product feature acquisition unit 14 acquires one product identification ID included in the stock product list 29.
[0074]
Step S1502 is a step in which the product feature acquisition unit 14 acquires the feature field of the identification ID acquired in step S1501 from the product database 15 using the product feature setting file 26. In FIG. 14 showing an example of the inventory product list 29, the feature field of the head identification ID “0002” is “love”, “drama”, and “horror”.
[0075]
Step S1503 is a step in which the similarity determination unit 21 acquires customer data from the customer database 16.
[0076]
In step S1504, the similarity determination unit 21 determines whether the feature field of the inventory product acquired in step S1502 is the same as the feature field of the customer data acquired in step S1503.
[0077]
In this case, if the top three of the field values included in the field attributes of the customer data with the highest field value are “love”, “drama”, and “horror”, the stock product and the feature field are the same. If the feature fields are the same, the process proceeds to step S1505. If not, the process moves to step S1507.
[0078]
Step S1505 is a step in which the product guide transmission unit 22 creates a product guide to be sent to customer data determined to have the same feature field. For the creation of the guidance text, the product guidance is created using the guidance text of the corresponding stock product. An example of the product guide sentence is shown in FIG.
[0079]
Step S1506 is a step in which the product guidance transmission unit 22 sends the guidance text created in step S1505 to the customer by e-mail or the like. An example of guidance is shown in FIG.
[0080]
Step S1507 is a step in which the merchandise guidance transmission unit 22 determines whether or not there is the next data in the customer database. If there is next data, the process proceeds to step S1503. If there is no next data, the process proceeds to step S1508.
[0081]
Step S1508 is a step in which the merchandise guidance transmission unit 22 determines whether or not there is next data in the inventory merchandise list 29. If there is next data, the process proceeds to step S1501. If there is no next data, the process ends.
[0082]
The above is the process of extracting inventory products, extracting customers who seem to like each inventory product, and sending product guidance to the customers.
[0083]
Note that if the customer has rented inventory product data in the past, a step for canceling product guidance may be inserted between steps S1503 and S1504 in FIG.
[0084]
In addition, instead of e-mail guidance, guidance may be provided when a customer visits the store. FIG. 17 is a diagram showing an example of guidance in the case of guidance when visiting a store.
[0085]
Further, the present invention can also be realized in a store that uses a music CD as a product. An example of the product database 15 of a store that uses a music CD as a product is shown in FIG. 18, and an example of the customer database 16 is shown in FIG.
[0086]
Furthermore, FIG. 20 shows an example of the product database 15 and FIG. 21 shows an example of the customer database 16 when the present invention is realized in a store that uses books as products.
[0087]
Further, as shown in FIG. 22, it can be realized by storing a program for causing the above-described embodiment to function in a storage medium, installing the program in an information processing apparatus, and causing an information device to function.
[0088]
【The invention's effect】
Conventionally, a specific person or group has set a field attribute in the product database. By using the present invention, field attributes can be set in a multifaceted manner by an unspecified person. Therefore, when implementing sales promotions that search for products similar to customer preferences and send product guidance, efficiency is improved. Good product information can be searched. Further, when searching for a customer who is interested in a specific product, there is an effect that an efficient search is possible.
[Brief description of the drawings]
FIG. 1 is a diagram showing a configuration of an embodiment of the present invention
FIG. 2 is a flowchart showing a flow of data matching processing according to the embodiment of the present invention.
FIG. 3 is a diagram showing a product database according to the embodiment of the present invention.
FIG. 4 is a diagram showing a product feature file according to the embodiment of the present invention.
FIG. 5 is a diagram showing a customer database according to the embodiment of the present invention.
FIG. 6 is a diagram showing a customer feature file according to the embodiment of the present invention.
FIG. 7 is a diagram showing a rental history file according to the embodiment of the present invention.
FIG. 8 is a diagram showing a customer feature setting file according to the embodiment of the present invention.
FIG. 9 is a diagram showing a product feature setting file according to the embodiment of the present invention.
FIG. 10 is a diagram showing a product database after data matching processing according to the embodiment of the present invention.
FIG. 11 is a diagram showing a customer database after data matching processing according to the embodiment of the present invention.
FIG. 12 is a diagram showing an inventory judgment file according to the embodiment of the present invention.
FIG. 13 is a flowchart showing a flow of inventory determination processing according to the embodiment of the present invention.
FIG. 14 is a diagram showing an inventory product list according to the embodiment of the present invention.
FIG. 15 is a flowchart illustrating processing for extracting a customer who is interested in a stock product and sending a guide to the customer according to the embodiment of the present invention.
FIG. 16 is a diagram showing a product guide sent to a customer who is interested in stock products according to the embodiment of the present invention;
FIG. 17 is a diagram showing guidance handed over at the counter in the store according to the embodiment of the present invention.
FIG. 18 is a diagram showing a product database when the product is a music CD.
FIG. 19 is a diagram showing a customer database when a product is a music CD.
FIG. 20 is a diagram showing a product database when a product is a book.
FIG. 21 is a diagram showing a customer database when a product is a book.
FIG. 22 is a diagram showing an example in which a storage medium storing a sales promotion information extraction program is installed in a computer
[Explanation of symbols]
10 Sales promotion information extraction system
11 Store terminal
12 Payment processing department
13 Inventory judging section
14 Product Feature Acquisition Department
15 Product database
16 Customer database
17 Customer Feature Acquisition Department
18 Attribute matching part
19 Customer Data Update Department
20 Product Data Update Department
21 Similarity determination unit
22 Product guide transmitter
23 Product feature file
24 Customer characteristics file
25 Rental history file
26 Product feature setting file
27 Inventory judgment file
28 Customer feature setting file
29 Stock List
30 customers
220 Information processing apparatus
221 recording medium

Claims (4)

A customer database for storing preference information regarding a specific product group in association with a customer ID for identifying a customer;
Wherein in association with the product ID for identifying the individual items belonging to a particular product group, has a product database for storing information in a plurality of fields attribute fields,
In the sales promotion information extraction system comprising a computer that acquires sales promotion information from the customer database or the product database,
The customer database has the same fields as a plurality of field attribute fields that the product database has,
The computer,
Means for acquiring information in a field attribute field from information corresponding to a product ID of the product included in the product database in accordance with a transaction of the product included in the product database ;
Means for updating preference information corresponding to a customer ID input along with a transaction of a product among the customer database using information in the field attribute field acquired from the product database;
Means for acquiring field attribute field information from the preference information corresponding to the customer ID input with the transaction of the product in the customer database;
Means for updating the information corresponding to the product ID of the traded product in the product database using the information in the field attribute field acquired from the customer database;
In response to entering a specific customer ID,
Means for obtaining preference information corresponding to the input customer ID from the customer database and comparing information in the field attribute field of each product included in the product database;
Means for calculating the similarity between the preference information and the field attribute field information;
A sales promotion information extraction program that functions as a means for extracting and displaying information on products with high similarity. A customer database for storing preference information regarding a specific product group in association with a customer ID for identifying a customer;
Wherein in association with the product ID for identifying the individual items belonging to a particular product group, has a product database for storing information in a plurality of fields attribute fields,
In the sales promotion information extraction system comprising a computer that acquires sales promotion information from the customer database or the product database,
The customer database has the same fields as a plurality of field attribute fields that the product database has,
The computer,
Means for acquiring information in a field attribute field from information corresponding to a product ID of the product included in the product database in accordance with a transaction of the product included in the product database ;
Means for updating preference information corresponding to a customer ID input along with a transaction of a product among the customer database using information in the field attribute field acquired from the product database;
Means for acquiring field attribute field information from the preference information corresponding to the customer ID input with the transaction of the product in the customer database;
Means for updating the information corresponding to the product ID of the traded product in the product database using the information in the field attribute field acquired from the customer database;
In response to entering a specific product ID,
Means for obtaining field attribute field information corresponding to the input product ID from the customer database and comparing the customer information of each customer included in the product database;
Means for calculating the similarity between the field attribute field information and the preference information;
A sales promotion information extraction program that functions as a means for extracting and displaying information on products with high similarity. In the sales promotion information extraction program according to claim 1 or 2,
When acquiring information on the field attribute field, the information processing apparatus further includes a storage unit that stores in advance information about which field should be acquired;
The sales promotion information extraction program characterized in that the means for acquiring the field attribute field information acquires the field attribute field information based on the information stored in the storage means. In the sales promotion information extraction program according to claim 2,
Means for recording the number of transactions in which the product is traded in the product database;
A means for recording a predetermined number of transactions in advance,
A sales promotion information extraction program characterized in that a product having a number of transactions less than the predetermined number of transactions is a target product of the means for calculating the similarity.

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