JP2024060781A - Information processor, method for processing information, and information processing program - Google Patents

Abstract

To provide an information processor, a method for processing information, and an information processing program which allow a user to have a continuous interest in a permanent product.SOLUTION: An information processor according to the present application includes an identification unit, an extraction unit, and a proposition unit. The identification unit identifies a target which a user can feel interested in for at least a predetermined length of time as a permanent target on the basis of history information regarding actions of a user. The extraction unit extracts a permanent target which satisfies a predetermined condition from the identified permanent targets. The proposition provides a posting of an advertisement of the extracted permanent target to a seller of the permanent target.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

In recent years, with the spread of the Internet, there are technologies that deliver advertisements for various products via a network (see, for example, Patent Document 1). One such technology is, for example, a technology that estimates the user's situation and proposes advertisements that correspond to the situation.

Japanese Patent No. 6134457

However, conventional technology suggests advertisements for products that are needed in the user's current situation, but does not suggest advertisements that will stimulate the user's continued interest in the same products.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can maintain a user's interest in a product.

The information processing device according to the present application includes an identification unit, an extraction unit, and a proposal unit. The identification unit identifies, as permanent objects, objects in which the user has an interest for a predetermined period of time or more, based on historical information regarding the user's behavior. The extraction unit extracts, from the identified permanent objects, the permanent objects that satisfy predetermined conditions. The proposal unit proposes to the seller of the extracted permanent object that an advertisement related to the permanent object be placed.

According to one aspect of the embodiment, it is possible to achieve the effect of maintaining interest in the product.

FIG. 1 is a diagram showing a process executed by an information processing apparatus according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 4 is a diagram illustrating an example of user information. FIG. 5 is a diagram illustrating an example of the permanent target information. FIG. 6 is a flowchart showing the processing procedure executed by the information processing apparatus according to the embodiment. FIG. 7 is a diagram illustrating an example of a hardware configuration.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

(Embodiment)
First, a process executed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing a process executed by the information processing device according to an embodiment. Fig. 1 illustrates an example of an operation of an information processing system S including an information processing device 1 according to an embodiment.

As shown in FIG. 1, the information processing system S according to the embodiment includes an information processing device 1, a log server 50, a user terminal 100, and a seller terminal 200.

In the information processing system S according to the embodiment, an object in which a user has an interest for a predetermined period of time or more is identified as a permanent object, and a proposal is made to sellers of the permanent object who satisfy predetermined conditions to place advertisements related to the permanent object. Note that the object here refers to, for example, a product or service sold by a seller.

As shown in FIG. 1, in the information processing system S, the log server 50 collects an action log, which is a log related to the user's actions, via the user terminal 100 (step S1). The actions here include, for example, various actions on the Internet, such as the user's purchasing actions and search actions. The actions may also include, for example, movement actions in the real world, such as traveling, and purchasing actions such as visiting a real store and purchasing a product.

Next, the information processing device 1 acquires history information, which is a history of the behavior logs collected by the log server 50 (step S2). That is, the information processing device 1 acquires history information regarding the user's behavior. The history information may be the behavior logs for the entire period collected by the log server 50, or may be the behavior logs for a period specified by a seller or the like, or the behavior logs for a period related to a specified event.

Next, the information processing device 1 estimates the user's interest in the target based on the acquired history information (step S3). For example, the information processing device 1 estimates interest using a model that has been trained using feature information extracted from the history information (the number (or frequency) of times the target was purchased, or the number (or frequency) of times the target was searched for) as an explanatory variable and a score related to the degree of interest as an objective variable. In other words, the information processing device 1 inputs the feature information into such a model and estimates the interest (degree of interest) based on the score output from the model.

Next, the information processing device 1 identifies as a permanent target an object in which the user has been interested for a predetermined period or more (step S4). Specifically, the information processing device 1 continues to perform the interest estimation described above at a predetermined interval, and identifies as a permanent target an object in which the estimated degree of interest (score output from the model) is equal to or greater than a predetermined value for a period of time equal to or greater than the predetermined period. Note that the information processing device 1 does not identify as a permanent target an object in which the degree of interest (score output from the model) is equal to or greater than a predetermined value for a period of time equal to or greater than the predetermined period, if the degree of interest at the current time point is less than the predetermined value.

Next, the information processing device 1 extracts permanent objects that satisfy a predetermined condition from among the identified permanent objects (step S5). For example, the information processing device 1 extracts a representative permanent object for each region (e.g., prefecture, district, town, village, etc.). Specifically, the information processing device 1 extracts a representative permanent object from among the permanent objects of users related to the region (users who reside in the region, users who plan to visit the region, etc.). For example, the information processing device 1 extracts permanent objects for which the ratio of the number of permanent objects to the number of users related to the region is equal to or greater than a predetermined value as permanent objects that represent the region. In other words, the information processing device 1 extracts permanent objects for which the ratio of users of the same permanent object among users related to the region is equal to or greater than a predetermined value as permanent objects that represent the region.

The information processing device 1 may also extract permanent targets that represent a region from among the permanent targets of users selected based on the attributes of the region. For example, when the attribute of a region is a tourist destination, the information processing device 1 selects users who plan to visit the region. When the attribute of a region is a residential area, the information processing device 1 selects users who reside in the region.

The information processing device 1 may also select users who have a common purpose from among users related to the area. For example, the information processing device 1 may select users who aim to participate in an event held in the area.

Next, the information processing device 1 proposes to the seller of the extracted permanent target that an advertisement related to the permanent target be placed (step S6). For example, the information processing device 1 proposes to place an advertisement provided in a permanent manner. An advertisement provided in a permanent manner is, for example, a static advertisement, which is an advertisement placed on a specified installation. Examples of such advertisements are advertisements on billboards and paper posted on utility poles. In other words, an advertisement provided in a permanent manner is not an advertisement whose display (content) changes appropriately, such as digital signage, but an advertisement whose content is permanently posted without changing.

In addition, the information processing device 1 can suggest pinpointing advertising display, such as suggesting display on a signboard in a specific location (or area) among the signs in the area, but details on this point will be described later.

In this way, the information processing device 1 according to the embodiment can suggest placing advertisements for permanent objects that the user has a long-term interest in (purchases), thereby making it possible to keep the user interested in the permanent object (to keep purchasing it). In other words, the information processing device 1 according to the embodiment can keep the user interested in products (including services). As a result, it is possible to prevent the permanent object from fading (being forgotten) and sales from declining, and it is possible to keep increasing sales of the permanent object.

Next, a configuration example of an information processing system S according to an embodiment will be described with reference to FIG. 2. FIG. 2 is a block diagram showing a configuration example of an information processing system S according to an embodiment. As shown in FIG. 2, in the information processing system S according to an embodiment, an information processing device 1, a log server 50, a plurality of user terminals 100, and a plurality of seller terminals 200 are connected to a network N by wire or wirelessly. The network N is, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), or the like.

The information processing device 1 is a server device that executes the information processing method according to the embodiment. The information processing device 1 identifies an object in which a user has an interest for a predetermined period of time or more as a permanent object, and proposes to sellers of the permanent object that meet predetermined conditions to place advertisements related to the permanent object.

In addition, the information processing device 1 is an information processing device that cooperates with the log server 50, multiple user terminals 100, and seller terminal 200, and provides the log server 50, multiple user terminals 100, and seller terminal 200 with API (Application Programming Interface) services for various applications (hereinafter, apps), etc., and various data, and is realized by a server device, a cloud system, etc.

The information processing device 1 may also be an information processing device that provides some kind of web service online to the log server 50, multiple user terminals 100, and seller terminal 200. For example, the information processing device 1 may provide services such as Internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, accommodation and ticket reservations, video and music distribution, news, maps, route searches, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information processing device 1 may cooperate with various servers that provide the above-mentioned web services, and may act as an intermediary for the web services or be responsible for processing the web services.

The log server 50 is a server device that collects logs (behavior logs) related to user behavior and provides them to the information processing device 1 as historical information. The log server 50 collects behavior logs from the user terminals 100 of each user.

The user terminal 100 is a terminal device owned by a user. The user terminal 100 can be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The user terminal 100 transmits various information to the information processing device 1 or the log server 50, etc., and receives information provided by the information processing device 1, etc.

The seller terminal 200 is a terminal device handled by a seller who sells products such as permanent objects. The seller terminal 200 can be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The seller terminal 200 transmits various information to the information processing device 1, etc., and receives information provided by the information processing device 1, etc.

Next, an example configuration of the information processing device 1 will be described with reference to FIG. 3.

Fig. 3 is a diagram showing an example of the configuration of an information processing device 1 according to an embodiment. As shown in Fig. 3, the information processing device 1 has a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 has an acquisition unit 31, an identification unit 32, an extraction unit 33, and a proposal unit 34. The storage unit 4 stores user information 41 and permanent target information 42.

The communication unit 2 is realized, for example, by a network interface card (NIC). The communication unit 2 is connected to the network via a wired or wireless connection.

The control unit 3 is a controller, and is realized, for example, by a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit) that executes various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The control unit 3 is also a controller, and may be realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

The storage unit 4 is realized, for example, by a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

User information 41 is information about a user. Figure 4 is a diagram showing an example of user information 41. As shown in Figure 4, user information 41 includes items such as "user ID," "user information," and "history information."

"User ID" is identification information that identifies a user. "User information" is information about a user, and includes, for example, attribute information. Attribute information includes, for example, psychographic attributes and demographic attributes. "History information" is history information about the user's behavior.

Permanent target information 42 is information about permanent targets. Figure 5 is a diagram showing an example of permanent target information 42. As shown in Figure 5, permanent target information 42 includes information such as "area ID", "area attribute", and "permanent target".

"Area ID" is identification information that identifies the area. "Area attribute" is information that indicates the attributes of the area. "Permanent object" is information about a permanent object identified by the identification unit 32 described below, and includes information such as the name and category of the product that is the permanent object.

Next, we will explain each function of the control unit 3 of the information processing device 1 (acquisition unit 31, identification unit 32, extraction unit 33, and proposal unit 34).

The acquisition unit 31 acquires various types of information. For example, the acquisition unit 31 acquires history information related to the user's actions. Specifically, the acquisition unit 31 acquires the history information from the log server 50. The acquisition unit 31 may also acquire the history information by directly acquiring an action log from the user terminal 100.

Based on the history information acquired by the acquisition unit 31, the identification unit 32 identifies an object in which the user has an interest for a predetermined period of time or more as a permanent object. First, the identification unit 32 estimates whether the user is interested in the object. Specifically, the identification unit 32 estimates whether the user is interested using a model that has been trained using characteristic information extracted from the history information (the number of times (or frequency) the object has been purchased, or the number of times (or frequency) the object has been searched for) as an explanatory variable and a score related to the degree of interest as a target variable. In other words, the identification unit 32 inputs the characteristic information into the model, estimates the interest (degree of interest) based on the score output from the model, and estimates that the user is interested in the object if the estimated degree of interest is equal to or greater than a predetermined value.

The identification unit 32 estimates the presence or absence of interest in the object for each period, and identifies an object that has interest for a predetermined period or more as a permanent object. The predetermined period used in the process of identifying a permanent object may be changed depending on the type of object. For example, the predetermined period may be longer for objects that are owned for a relatively long period, such as home appliances, and shorter for objects that are owned for a relatively short period (the period until they are eaten), such as food. The identification unit 32 may identify one or more permanent objects for each user.

The extraction unit 33 extracts permanent objects that satisfy a predetermined condition from among the permanent objects identified by the identification unit 32. Specifically, the extraction unit 33 extracts a representative permanent object for each region (e.g., prefecture, district, town, village, etc.). For example, the extraction unit 33 extracts a representative permanent object from among the permanent objects of users related to the region (users who reside in the region, users who plan to visit the region, etc.). For example, the extraction unit 33 extracts permanent objects for which the ratio of the number of permanent objects to the number of users related to the region is equal to or greater than a predetermined value as permanent objects that represent the region. In other words, the extraction unit 33 extracts permanent objects for which the ratio of users who have the same permanent object among users related to the region is equal to or greater than a predetermined value as permanent objects that represent the region.

The extraction unit 33 may also extract a permanent object that represents a region from among the permanent objects of the user selected based on the attributes of the region. For example, when the attribute of the region is a tourist destination, the extraction unit 33 selects a user who plans to visit the region, and extracts a representative permanent object from among the permanent objects of the selected user. When the attribute of the region is a residential area, the extraction unit 33 selects a user who resides in the region, and extracts a representative permanent object from among the permanent objects of the selected user.

The extraction unit 33 may also select users who have a common purpose related to the region from among users related to the region. For example, the extraction unit 331 selects users who aim to participate in an event held in the region, and extracts a representative permanent target from among the permanent targets of the selected users.

The extraction unit 33 may also extract a permanent object based on the market share (so-called share) between the permanent object and its competing product in the region. For example, if the permanent object has a lower market share than its competing product and the difference in market share between the permanent object and the competing product is less than a predetermined value, the extraction unit 33 extracts the permanent object as a permanent object that represents the region.

In addition, the extraction unit 33 may extract a permanent object as a permanent object representing a region if the market share of the permanent object is lower than that of a competing product and the difference in market share between the permanent object and the competing product is equal to or greater than a predetermined value, but the market share of the permanent object is on the rise.

The suggestion unit 34 suggests to the seller of the extracted permanent object that an advertisement related to the permanent object be placed. For example, the suggestion unit 34 suggests placing an advertisement provided in a permanent manner. An advertisement provided in a permanent manner is, for example, a static advertisement, which is placed on a specified installation. Examples of such advertisements are advertisements on billboards and paper posted on utility poles. In other words, an advertisement provided in a permanent manner is not an advertisement whose display (content) changes appropriately, such as digital signage, but an advertisement whose content is permanently posted without changing.

The suggestion unit 34 also suggests pinpointing advertising by suggesting posting on a signboard in a specific location (position or area) among signs in the area. For example, the suggestion unit 34 suggests posting on an advertising medium in a location related to an event held in the above-mentioned area.

For example, the suggestion unit 34 identifies the route that a user who is a participant in a pilgrimage to the 88 sacred sites of Shikoku (commonly known as the pilgrimage route) will take, and suggests posting advertisements on advertising media (such as billboards and utility poles) along the identified route.

The suggestion unit 34 may also suggest posting on advertising media that is located on routes that are frequently set as guide routes by navigation devices installed in vehicles, or in locations that are frequently set as destinations.

Next, the processing procedure of the process executed by the information processing device 1 according to the embodiment will be described with reference to FIG. 6. FIG. 6 is a flowchart showing the processing procedure of the process executed by the information processing device 1 according to the embodiment.

As shown in FIG. 6, the control unit 3 first obtains historical information regarding the user's actions from the log server 50 (step S101).

Next, the control unit 3 identifies permanent objects in which the user has an interest for a predetermined period of time or longer based on the acquired history information (step S102).

Next, the control unit 3 extracts permanent objects that satisfy predetermined conditions from the identified permanent objects (step S103).

The control unit 3 then proposes to the seller of the extracted permanent object that they place an advertisement related to the permanent object (step S104), and ends the process.

〔others〕
In addition, among the processes described in the above embodiments, some of the processes described as being performed automatically can be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using a known method. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, a part or all of the memory unit 4 shown in FIG. 3 may be stored in a storage server or the like, rather than being stored in each device. In this case, each device obtains various information by accessing the storage server.

[Hardware configuration]
The information processing device 1 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in Fig. 7, for example. Fig. 7 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected by a bus 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), a HDD (Hard Disk Drive), a flash memory, or the like.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or printer, and is realized, for example, by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, scanner, etc., and is realized, for example, by a USB.

The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a 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. The input device 1020 may also be an external storage medium such as a USB memory.

The network IF 1080 receives data from other devices via the network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 3 by executing a program loaded onto the primary storage device 1040.

〔effect〕
As described above, the information processing device 1 according to the embodiment includes the identification unit 32, the extraction unit 33, and the proposal unit 34. The identification unit 32 identifies, as permanent objects, objects in which the user has an interest for a predetermined period of time or more, based on history information related to the user's behavior. The extraction unit 33 extracts permanent objects that satisfy predetermined conditions from the identified permanent objects. The proposal unit 34 proposes to sellers of the extracted permanent objects that they place advertisements related to the permanent objects.

The information processing device 1 according to each of the above-described embodiments can create a continuous interest in a product that is a permanent target.

Although several embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the disclosure section of the invention.

〔others〕
In addition, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

In addition, the processes described in the above embodiments can be combined as appropriate to the extent that they do not cause any contradictions in the process content.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, the control unit 3 can be read as control means or control circuit.

Reference Signs List 1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 31 Acquisition unit 32 Identification unit 33 Extraction unit 34 Proposal unit 41 User information 42 Permanent target information 50 Log server 100 User terminal 200 Seller terminal S Information processing system

Claims (17)

An identification unit that identifies an object in which the user has an interest for a predetermined period of time or more as a permanent object based on history information regarding the user's behavior;
an extraction unit that extracts the permanent object that satisfies a predetermined condition from the identified permanent object;
and a proposal unit that proposes to a seller of the extracted permanent object that an advertisement related to the permanent object be placed. The suggestion unit,
The information processing device according to claim 1 , further comprising: a processor for processing the advertisements; The advertisements provided in the permanent manner include:
The information processing device according to claim 2 , wherein the advertisement is a static advertisement and is arranged on a predetermined installation. The identification unit is
The information processing device according to claim 1, further comprising: a model trained with feature information extracted from the history information as an explanatory variable and a score relating to the degree of interest in the object as a target variable, for predicting the presence or absence of interest for each period of time; and identifying objects that are predicted to have an interest for a predetermined period of time or longer as permanent objects. The identification unit is
The information processing apparatus according to claim 1 , wherein the length of the predetermined period used for the specific process of the permanent object is changed depending on the type of the object. The extraction unit is
The information processing apparatus according to claim 1 , wherein the permanent target that satisfies the predetermined condition is extracted for each region. The extraction unit is
The information processing apparatus according to claim 6 , further comprising: extracting the permanent target that satisfies the predetermined condition from the permanent targets of users related to the area. The extraction unit is
The information processing apparatus according to claim 7 , further comprising: extracting, as the permanent target satisfying the predetermined condition, the permanent target for which a ratio of users having the same permanent target among users related to the area is equal to or greater than a predetermined value. The extraction unit is
The information processing apparatus according to claim 7 , further comprising: extracting the permanent target that satisfies the predetermined condition from the permanent targets of the user selected based on the attributes of the region. The extraction unit is
The information processing apparatus according to claim 9 , further comprising: selecting a user who is planning to visit the area when an attribute of the area is a tourist destination; and extracting the permanent object that satisfies the predetermined condition from the permanent objects of the selected user. The extraction unit is
The information processing apparatus according to claim 9 , further comprising: selecting a user residing in the area when an attribute of the area is a residential area; and extracting the permanent object that satisfies the predetermined condition from the permanent objects of the selected user. The extraction unit is
The information processing apparatus according to claim 7 , further comprising: selecting users who have a common purpose related to the area; and extracting the permanent targets that satisfy the predetermined condition from the permanent targets of the selected users. The extraction unit is
The information processing apparatus according to claim 6 , further comprising: extracting the permanent object that satisfies the predetermined condition based on a market ratio between the permanent object and a competing product of the permanent object in the region. The suggestion unit,
The information processing device according to claim 6 , further comprising: a step of proposing to display the advertisement in the advertising medium that is present in a specific location among the advertising media that are present in the area. The suggestion unit,
The information processing device according to claim 14 , further comprising: a proposal to post the advertisement on the advertising medium located in a location related to an event held in the area. 1. A computer-implemented information processing method, comprising:
A step of identifying an object in which the user has an interest for a predetermined period of time or more as a permanent object based on history information regarding the user's behavior;
An extraction step of extracting the permanent object that satisfies a predetermined condition from the identified permanent object;
and a proposal step of proposing to a seller of the extracted permanent object that an advertisement related to the permanent object be placed. A step of identifying an object in which the user has an interest for a predetermined period of time or more as a permanent object based on history information regarding the user's behavior;
An extraction step of extracting the permanent object that satisfies a predetermined condition from the identified permanent object;
a proposal procedure for proposing to a seller of the extracted permanent object that an advertisement related to the permanent object be placed; and

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