JP7119155B1 - Information processing device, information processing method, and information processing program - Google Patents

Abstract

An object of the present invention is to increase the possibility of a user performing a predetermined action with respect to specific content. An information processing apparatus according to the present application includes a setting section and a distribution section. The setting unit indicates the distribution order of a plurality of contents through the distribution of a plurality of contents to the distribution of a specific content so that the next content to be distributed changes according to the behavior of the user with respect to the contents. Set patterns. The distribution unit sequentially distributes the content to users to whom the content is to be distributed according to the distribution pattern set by the setting unit. [Selection drawing] Fig. 4

Description

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

2. Description of the Related Art Conventionally, services have been provided for distributing advertising content that is presumed to be of high interest to users. For example, in order to deliver appropriate advertisements to users, technology has been provided that selects advertisements based on user location information.

JP 2007-264764 A JP 2011-221665 A JP 2005-011307 A

However, the conventional technology only distributes selected advertisements, and there is room for further improvement in order to make the user actually take action on the distributed advertisements, such as viewing the distributed advertisements. Distributable content other than advertisements also has room for improvement.

The present application has been made in view of the above, and provides an information processing device, an information processing method, and an information processing program that can increase the possibility that a user will perform a predetermined action with respect to specific content. With the goal.

An information processing apparatus according to the present application includes a setting unit and a distribution unit. The setting unit indicates the distribution order of a plurality of contents through the distribution of a plurality of contents to the distribution of a specific content so that the next content to be distributed changes according to the behavior of the user with respect to the contents. Set patterns. The distribution unit sequentially distributes the content to users to whom the content is to be distributed according to the distribution pattern set by the setting unit.

According to one aspect of the embodiments, it is possible to increase the likelihood that a user will perform a predetermined action with respect to specific content.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is an explanatory diagram for explaining a distribution pattern setting method according to the embodiment. FIG. 3 is an explanatory diagram for explaining a method of determining a distribution destination of advertising content according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 5 is a diagram illustrating an example of advertisement information according to the embodiment; FIG. 6 is a diagram illustrating an example of information regarding distribution history according to the embodiment. FIG. 7 is a diagram illustrating an example of user information according to the embodiment; 8 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. FIG. 9 is a diagram illustrating a configuration example of an information processing apparatus according to a modification. FIG. 10 is a diagram illustrating an example of information processing by a determination unit according to a modification; FIG. 11 is a diagram illustrating an example of information processing by a determination unit according to a modification; FIG. 12 is a diagram showing an example of a distribution pattern according to a modification. FIG. 13 is a diagram illustrating an example of a distribution pattern according to a modification; FIG. 14 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment and modifications.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. In addition, multiple embodiments described below can be appropriately combined within a range that does not contradict the processing content. In addition, in a plurality of embodiments described below, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Overview of information processing]
Hereinafter, an example of information processing according to the embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. In addition, in the following description, the case where the content distributed by the information processing apparatus 100 according to the embodiment is advertising content will be exemplified. Note that the advertisement is not limited to an advertisement submitted by an advertiser, and includes an advertisement input by an agency such as an advertising agency. In addition, the information processing described below can be applied not only to advertising content, but also to article content, video content, and the like.

As shown in FIG. 1, an information processing device 100 is a device managed and operated by an advertisement distributor. Information processing apparatus 100 includes advertisement information storage unit 131 , distribution history storage unit 132 , and user information storage unit 133 .

The advertisement information storage unit 131 stores information related to advertisements submitted by advertisers. The distribution history storage unit 132 stores information regarding the distribution history of advertising content. The user information storage unit 133 stores information about each user to whom advertisements are distributed.

First, when distributing advertising content, the information processing apparatus 100 distributes a plurality of pieces of advertising content so that the next advertising content to be distributed changes according to the behavior of the user with respect to the advertising content. A distribution pattern indicating the distribution order of a plurality of advertisement contents up to distribution is set (step S11).

Specifically, the information processing apparatus 100 provides the operator with a setting window 111 for setting the distribution pattern of the advertising content (step S11-1). The setting _{window 111 shown} in _FIG . , and a reset button _CP5 . 1 shows an example of the setting window 111, and may be configured in a form different from the example shown in FIG.

_The text box CP1 corresponding to "target content" receives an input of advertising content to be distributed from the operator. _The operator can specify specific advertising content to be distributed by inputting the identification information of the advertising content, the name of the advertising content, etc. in the text box CP1.

_A text box CP2 corresponding to "distribution interval" accepts an input from the operator of a distribution interval of a plurality of advertisements to be distributed according to the distribution pattern. The operator can input an arbitrary delivery interval such as a unit of hours or minutes, which is shorter than units of days, or a unit of weeks or months, which is longer than units of days, in addition to units of days.

The text box _CP3 corresponding to "delivery period" accepts input from the operator of the delivery period of a plurality of advertisements to be delivered according to the delivery pattern. The operator can enter any delivery period such as number of days, number of weeks, or number of months.

Note that the text box _CP2 and text box CP3 described above automatically calculate a settable numerical range according to the value entered in one of them _, and accept input within the calculated numerical range. It may be a configuration in which they are interlocked with each other. For example _, the text box _CP2 and the text box CP3 may be interlocked so that the numeric value set for the delivery period is at least longer than the numeric value for the delivery interval.

The execution button CP ₄ receives from the operator an instruction to execute the distribution pattern setting process based on the parameters entered in each text box. The reset button _CP5 accepts an instruction from the operator to reset the numerical values entered in each text box.

When the information processing apparatus 100 detects an operation on the execution button CP ₄ , the information processing apparatus 100 acquires the setting parameters of the distribution pattern input to the setting window 111 . Then, the information processing apparatus 100 sets the distribution pattern PT ₁ based on the obtained setting parameters (step S11-2). FIG. ₁ schematically shows a distribution pattern PT1 set by the information processing apparatus 100. As shown in FIG.

The distribution pattern PT ₁ shown in FIG. 1 determines the order of distribution of a plurality of pieces of advertising content C up to the distribution of the advertising content Ca for each distribution section G obtained by dividing the distribution period (three days) by the distribution interval (one day). showing. In the example shown in FIG. 1, the advertising content C1-1 corresponding to the _first distribution section G1, the advertising content C2-1 to C2-2 corresponding to the _second distribution section G2, and the third distribution section G ₃ , advertising contents C3-1 to C3-3 corresponding to 3 are shown.

Further, in the distribution pattern PT ₁ , the advertising content to be distributed next changes according to the user's predetermined action (for example, clicking) on the advertising content C. FIG. In the example shown in FIG. ₁ , when a user's click on the advertising content C1-1 distributed in the distribution section G1 is detected, the advertising content C2-1 is distributed to the corresponding user in the _next distribution section G2. be. On the _other hand, if no user click on the advertising content C1-1 distributed in the distribution section G1 is detected, the advertising content C2-2 is distributed to the corresponding user in the _next distribution section G2.

Further, when a user's click on the advertising content C2-1 distributed in the distribution section G2 is detected _, the advertising content _C3-1 is distributed to the corresponding user in the next distribution section G3. On the other hand, if the user's click on the advertising content C2-1 distributed in the distribution section G2 is not detected _, the advertising content _C3-2 is distributed to the corresponding user in the next distribution section G3.

Further, when a user's click on the advertising content C2-2 distributed in the distribution section G2 is detected _, the advertising content _C3-2 is distributed to the corresponding user in the next distribution section G3. On the other hand, if no user click on the advertising content C2-2 distributed in the distribution section G2 is detected _, the advertising content _C3-3 is distributed to the corresponding user in the next distribution section G3.

Further, when a user's click on the advertisement content C3-1, the advertisement content C3-2, or the advertisement content _C3-3 distributed in the distribution interval G3 is detected, the advertisement content Ca is distributed to the corresponding user. be.

In this way, the information processing apparatus 100 changes the distributed advertisement according to the behavior of the user according to the distribution pattern. A method of setting the distribution pattern will be specifically described below. FIG. 2 is an explanatory diagram for explaining a distribution pattern setting method according to the embodiment.

As shown in FIG. 2, the information processing apparatus 100 selects related advertising content related to the advertising content Ca from the advertising information stored in the advertising information storage unit 131 (step S11-11). In the example shown in FIG. 2, as the related advertisement content, the advertisement content Cc (hereinafter referred to as "related advertisement content Cc”) is selected. As the related advertisement content, an advertisement whose target is similar to that of the advertisement content Ca, an advertisement whose product is similar to that of the advertisement content Ca, or the like may be selected.

Further, the information processing apparatus 100 performs a predetermined action with respect to the related advertising content Cc from among the information regarding the distribution history based on the setting parameters and the information regarding the distribution history stored in the distribution history storage unit 132. Information on the distribution history of the advertising content to each user satisfying the condition that the content has been delivered is acquired (step S11-12). In the following, clicks are exemplified as predetermined actions, but not limited to this, various conversions such as product purchases on EC (electronic commerce) linked to advertising content and membership registration via websites linked to advertising content may be

Specifically, the information processing apparatus 100 provides each user who clicks on the related advertising content Cc with the advertising content distributed on the day before, two days before, and three days before the distribution date of the related advertising content Cc. Identify. For example, if the delivery date of the related advertising content Cc is [February 4], then retroactively from [February 4], [February 3], [February 2], and [February 1 ] to identify the advertising content delivered to each user. In addition to the information of the specified advertising content, the information processing apparatus 100 also displays the "click density" for the specified advertising content, and details of each user's click action on the specified advertising content ("clicked" or "no clicked"). and get.

In the example shown in FIG. 2, as the content of the click action, the identification information of the user who clicked the advertisement content is summarized in the item of "clicked", and the identification information of the user who did not click the advertisement content is summarized in the item of "no click". are summarized in the item. That is, according to the example shown in FIG. 2, it is identified that the user with user ID: [U*1] clicked the advertisement content C3-1, and the user with user ID: [U*2] clicked the advertisement content It is specified that C3-1 was not clicked.

Then, based on the information about the distribution history of the advertising content to each user who clicked the related advertising content Cc, the information processing apparatus 100 stores the advertising content distributed to each user up to the distribution of the related advertising content Cc and the advertisement content. A distribution pattern is specified in combination with the details of the click action on the content (step S11-13).

Specifically, the information processing apparatus 100 analyzes the information about the distribution history to determine, for example, the user with the user ID: [U*1] who clicked the related advertising content Cc (hereinafter referred to as “user U1”). ), it can be specified that the advertising content C3-1 was distributed on [February 3] and that the advertising content C3-1 was clicked by the user U1. Further, the information processing apparatus 100 can identify that the advertising content C2-1 was distributed to the user U1 on [February 2] and that the advertising content C2-1 was clicked by the user U1. Furthermore, the information processing apparatus 100 can identify that the advertising content C1-1 was distributed to the user U1 on [February 1] and that the advertising content C1-1 was clicked by the user U1. As described above, the information processing apparatus 100 determines the advertising content distributed to the user U1 from the distribution history of the user U1 satisfying the condition that the related advertising content Cc is clicked to the distribution of the related advertising content Cc, and the advertising content. A distribution pattern R1 combined with the content of the click action can be specified. Similarly, the information processing apparatus 100 can identify other distribution patterns from the distribution history for each user who satisfies the condition of clicking on the related advertisement content Cc.

In addition, when there is a pattern in which advertising content with competing products or the like is continuously distributed among the specified distribution patterns, the information processing apparatus 100 may exclude the pattern from the distribution patterns to be set. As a result, it is possible to prevent the advertising effect of the advertising content from being damaged. The determination of whether or not the advertising content is competing can be made by comparing elements obtained from the advertising content based on the similarity of words contained in the advertising content, knowledge graphs, or comparing contexts of the advertising content. may be determined automatically by Further, when there is content that competes with the finally distributed advertising content Ca in terms of products, etc., among the advertising content included in the distribution pattern, the operator of the information processing apparatus 100 or the advertiser of the advertising content Ca may change the distribution pattern. may be manually determined whether or not to include it in the

Note that, when there is an upper limit to the number of patterns that can be selected from among the specified distribution patterns, the information processing apparatus 100 sums up the click densities associated with the advertising content that constitutes the distribution patterns, and adds up the distribution patterns with the highest total click densities. may be preferentially selected.

After specifying the distribution pattern, the information processing apparatus 100 integrates the specified distribution patterns to generate a final distribution pattern PT ₁ (see FIG. 1), and sets the generated distribution pattern.

Returning to FIG. 1, after setting the distribution pattern, the information processing apparatus 100 sequentially distributes the advertising content to the users to whom the advertising content Ca is distributed according to the set distribution pattern (step S12). A method of determining users to whom advertising content is to be distributed will be described below with reference to FIG. FIG. 3 is an explanatory diagram for explaining a method of determining a distribution destination of advertising content according to the embodiment.

As shown in FIG. 3, the information processing apparatus 100 refers to the advertisement information stored in the advertisement information storage unit 131, and selects a "target" associated with the advertisement content Ca specified by the operator as a distribution target. The setting information set in the item and the setting information set in the item of "product" are specified. In the example shown in FIG. 3, "50s/male" is specified as the information set in the "target" item, and "real estate" is specified as the information set in the "product" item.

The information processing apparatus 100 distributes the advertising content Ca from the user information stored in the user information storage unit 133 based on the specified setting information for the item "target" and setting information for the item "product". Identify the users you want to target. In the example shown in FIG. 3, the user ID "U*1" whose setting information set in the "target" item matches the setting information set in the "product" item, and the user ID : A user of “U*3” is specified. Then, the information processing apparatus 100 distributes the advertising content Ca to each user identified as the distribution destination according to the distribution pattern.

As described above, the information processing apparatus 100 according to the embodiment distributes a plurality of pieces of content so that the advertisement content to be distributed next changes according to the behavior of the user with respect to the advertisement content. Set a distribution pattern that indicates the distribution order of multiple pieces of content up to distribution. Then, the information processing apparatus 100 sequentially distributes the content to the user who is the distribution destination of the content according to the set distribution pattern. As a result, the information processing device 100 can increase the possibility of the user clicking on the advertisement content Ca.

In other words, the information processing apparatus 100 analyzes the distribution history of the advertising content for each user who clicked on the related advertising content Cc of the advertising content Ca to be distributed, and determines whether or not the related advertising content Cc is distributed. By associating the flow of each advertisement content and the presence/absence of clicks on each advertisement content, the distribution pattern until the related advertisement content Cc is clicked is identified. Then, the information processing apparatus 100 distributes the advertisement content Ca, which is the distribution target, according to the distribution pattern specified for the related advertisement content Cc, thereby increasing the possibility of the advertisement content Ca being clicked.

[2. Configuration of information processing device]
The configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; The information processing device 100 shown in FIG. 4 is, for example, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a smartphone, a mobile phone, a PDA (Personal Digital Assistant), a wearable device, or the like. .

The information processing device 100 is a device managed and operated by an advertisement distributor. The information processing device 100 can distribute advertising content through the network. Further, the information processing apparatus 100 cooperates with each server device that provides various services through web pages containing various contents, and can acquire various data of service users from each server device. The information processing device 100 can acquire service user data related to various services such as a news site, a technical explanation site, a search engine site, a shopping site, an EC site, an auction site, a finance site (stock price site), etc., from each server device. . Note that the information processing device 100 may provide various types of information to devices that distribute advertisements.

As shown in FIG. 2 , the information processing apparatus 100 includes a display section 110 , a communication section 120 , a storage section 130 and a control section 140 . Note that FIG. 4 shows a configuration example of the information processing apparatus 100, and is not limited to the form shown in FIG.

(Display unit 110)
The display unit 110 displays various information. The display unit 110 is a display device. The display unit 110 is realized by, for example, a display device such as a liquid crystal display (LCD) or an organic EL display (OELD: Organic Electro-Luminescent Display). The display unit 110 may be realized by a touch panel display device having a touch panel. For example, the display unit 110 displays a setting window 111 for setting a distribution pattern of advertising content.

(Communication unit 120)
The communication unit 120 is, for example, connected to a predetermined network by wire or wirelessly, and transmits and receives information to and from another device via the predetermined network. The communication unit 120 is implemented by, for example, a NIC (Network Interface Card), an antenna, or the like. The predetermined network is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a regional IP (Internet Protocol) network, or the Internet. be. The predetermined network may include a wired network or a wireless network.

(storage unit 130)
The storage unit 130 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 4 , storage unit 130 has advertisement information storage unit 131 , distribution history storage unit 132 , and user information storage unit 133 .

(Advertisement information storage unit 131)
The advertisement information storage unit 131 stores information related to advertisements submitted by advertisers. FIG. 5 is a diagram illustrating an example of advertisement information according to the embodiment; Note that FIG. 5 shows an overview of the advertisement information stored in the advertisement information storage unit 131, and does not have to be configured in the form shown in FIG.

As shown in FIG. 5, the advertisement information stored in the advertisement information storage unit 131 includes an item of "advertisement", an item of "target", an item of "product", and the like.

The “advertisement” item stores identification information for identifying advertisement content. The "target" item stores information about the distribution destination of the advertising content. The item “product” stores information about the product targeted by the advertising content. In the example shown in FIG. 5, it is shown that the advertising content Ca targets [man in his 50s] and targets [real estate].

(Distribution history storage unit 132)
The distribution history storage unit 132 stores information regarding the distribution history of advertising content. FIG. 6 is a diagram illustrating an example of information regarding distribution history according to the embodiment. Note that FIG. 6 shows an overview of the information about the distribution history stored in the distribution history storage unit 132, and does not have to be configured in the form shown in FIG.

As shown in FIG. 6, the information about the distribution history stored in the distribution history storage unit 132 includes items such as "advertisement", "delivery date", "delivery destination", and "clicked". items, "no clicks", "click density", and "cost per click".

The "advertisement" item stores identification information for identifying advertisement content, similar to the advertisement information illustrated in FIG. Information indicating the date of delivery of the advertisement content is stored in the item of “delivery date”. Information for specifying the distribution destination of the advertising content is stored in the “distribution destination” item.

Information for specifying the user who clicked on the advertisement content is stored in the item "clicked". Information for specifying a user who did not click on the advertisement content is stored in the item "no click". As information for identifying users, user IDs that are individually assigned to each user can be used to identify the users.

The “click density” item stores information indicating the number of clicks per predetermined unit time of the distributed advertising content. In the item of "cost per click", the unit price (for example, the unit is "Yen") is stored.

In the example shown in FIG. 6, the advertising content C1-1 has user IDs [U*1] and [U*3].
It is shown that it was distributed to users such as [February 1, 2021], the click density at that time was [15], and the click unit price was [120].

(User information storage unit 133)
The user information storage unit 133 stores information about each user to whom advertisements are distributed. FIG. 7 is a diagram illustrating an example of user information according to the embodiment; 7 shows an overview of the user information stored in the user information storage unit 133, and does not have to be configured in the form shown in FIG.

As shown in FIG. 7, the user information stored in the user information storage unit 133 has a "user ID" item, a "main attribute" item, and a "secondary attribute" item.

The item “user ID” stores identification information for identifying a user. As the information stored in the "user ID" item, the user IDs stored in the "clicked" and "no clicked" items can be used.

The item of "main attribute" stores user's demographic attribute information (so-called demographic attribute). In the example shown in FIG. 7, the item of "main attribute" is further classified into small items such as "age" and "gender".

Information (so-called psychographic attributes) indicating a user's sense of values, lifestyle, personality, taste, etc. is stored in the "sub-attribute" item. In the example shown in FIG. 7, the item of "secondary attribute" is further classified into small items such as "real estate", "travel", and "insurance". Among sub-attribute items, "1" is stored for items that are highly likely to correspond to the user, and "0" is stored for items that are unlikely to be applicable to the user.

(control unit 140)
Returning to FIG. 4 , the control unit 140 is a controller that controls the information processing device 100 . The control unit 140 executes various programs (for example, an information processing program) stored in a storage device inside the information processing apparatus 100 using a RAM as a work area by means of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. It is realized by being Also, the control unit 140 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4, the control section 140 has a setting section 141 and a distribution section 142 . The control unit 140 implements or executes information processing functions and actions described below by these units. Note that the internal configuration of the control unit 140 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship of each part of the control unit 140 is not limited to the connection relationship shown in FIG. 4, and may be another connection relationship. Note that the control unit 140 may include a receiving unit for acquiring various types of information such as user information from a cooperating server device through a predetermined network. The control unit 140 may also include a transmission unit for providing various information such as distribution patterns to other devices such as advertising devices through a predetermined network.

(Setting unit 141)
The setting unit 141 selects a plurality of pieces of advertising content from distribution of a plurality of pieces of advertising content to distribution of specific advertising content so that the next piece of advertising content to be distributed changes according to the behavior of the user with respect to the advertising content. Set a delivery pattern that indicates the delivery order of Specifically, the setting unit 141 sets the above-described distribution pattern based on the distribution history of the advertising content to each user who has performed a predetermined action with respect to the related advertising content related to the specific advertising content. The method of setting the distribution pattern by the setting unit 141 is as described above.

(Distribution unit 142)
The distribution unit 142 sequentially distributes the advertising content to users to whom the advertising content is distributed according to the distribution pattern set by the setting unit 141 . The method of determining the distribution destination of the advertising content by the distribution unit 142 is as described above.

[3. Processing procedure]
A procedure of processing by the information processing apparatus 100 according to the embodiment will be described below with reference to FIG. 8 . 8 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. The processing procedure shown in FIG. 8 is executed by the control unit 140 of the information processing apparatus 100 . The processing procedure shown in FIG. 8 is executed in response to an operator's operation, for example, while the information processing apparatus 100 is in operation.

As shown in FIG. 8, the setting unit 141 acquires parameters for setting distribution patterns through the setting window 111 (see FIG. 1, for example) displayed on the display unit 110 (step S101). Further, the setting unit 141 selects related advertising content related to the advertising content designated as the distribution target from the advertising information stored in the advertising information storage unit 131 (step S102).

Moreover, the setting unit 141 satisfies the condition that the related advertising content is clicked from among the information on the distribution history based on the setting parameter and the information on the distribution history stored in the distribution history storage unit 132 . Information about the distribution history of the advertising content to the user is acquired (step S103).

Further, the setting unit 141 combines the advertising content distributed to each user up to the distribution of the related advertising content and the content of the click action on the advertising content based on the information about the distribution history acquired in step S103. A distribution pattern is specified (step S104).

The setting unit 141 also sets the distribution pattern specified in step S104 as the distribution pattern of the advertising content designated as the distribution target (step S105). Further, the setting unit 141 executes distribution of the advertisement content to be distributed according to the distribution pattern set in step S105 (step S106), and ends the processing procedure shown in FIG.

[4. Modification]
The information processing apparatus 100 according to the above-described embodiments may be implemented in various different forms other than the above-described embodiments. So, below, the modification of embodiment which concerns on the information processing apparatus 100 mentioned above is demonstrated.

(4-1. Configuration of information processing device according to modification)
FIG. 9 is a diagram illustrating a configuration example of an information processing apparatus according to a modification. The information processing apparatus 200 according to the modification differs from the information processing apparatus 100 according to the embodiment described above in part of the processing functions realized by the control unit 240 . That is, the display unit 210, the communication unit 220, the storage unit 230 (the advertisement information storage unit 231, the distribution history storage unit 232, and the user information storage unit 233) provided in the information processing device 200, and the control unit 240 (the setting unit 241 and the distribution The unit 242) includes the display unit 110, the communication unit 120, the storage unit 130 (the advertisement information storage unit 131, the distribution history storage unit 132, and the user information storage unit 133) provided in the information processing apparatus 100, and the control unit 140 (the setting unit 141 and a distribution unit 142), but is different from the information processing apparatus 100 in that a determination unit 243 is newly installed for the control unit 240 included in the information processing apparatus 200. FIG. The determination unit 243 will be described below.

The determining unit 243 determines the amount of expenses to be borne by the advertiser (an example of the owner of the content) of the specific advertising content according to the degree of certainty for each distribution pattern when a predetermined action is executed with respect to the specific advertising content. decide. FIG. 10 is a diagram illustrating an example of information processing by a determination unit according to a modification;

As shown in FIG. 10, the determination unit 243 calculates the click rate of the advertisement content Ca distributed according to each of the distribution patterns R1 to R4 set by the setting unit 241, for example. Then, the determination unit 243 determines the click unit price of the advertising content Ca ex post facto according to the calculated click rate. For example, the determining unit 243 can determine the unit price per click such that the higher the click rate, the higher the unit price per click, and the lower the click rate, the lower the unit price per click.

Further, the determining unit 243 calculates the click rate for each distribution pattern when the related advertising content Cc related to the advertising content Ca is distributed, and based on the calculated click rate, determines the cost per click before distributing the advertising content Ca. may decide.

In this way, the information processing apparatus 200 according to the modification can determine an appropriate amount of money as the amount of expenses to be borne by the advertiser.

In addition, when a predetermined action is performed with respect to specific advertising content, the determining unit 243 notifies each advertiser (an example of a content owner) of each advertising content through which the specific advertising content was distributed. , a predetermined performance fee borne by the advertiser of the specific advertising content may be returned. FIG. 11 is a diagram illustrating an example of information processing by a determination unit according to a modification;

As shown in FIG. 11, for example, the determining unit 243 distributes the advertising content Ca according to the distribution pattern R1 set by the setting unit 241, and the advertising content Ca is clicked to generate sales. In this case, the determining unit 243 pays the advertisers (advertisers P, Q, and R) of each of the advertising contents constituting the distribution pattern R1 from the advertiser X of the advertising content Ca a royalty according to the revenue associated with the sales. reduce.

In this way, the information processing apparatus 200 according to the modified example can also operate the distribution pattern as a revenue distribution model. In other words, profit distribution linked to advertisement distribution can be realized.

(4-2. Content)
In the above-described embodiment, the information processing apparatus 100 can employ any content that can detect user actions on content, such as questionnaires and e-mails, in addition to advertisement content, as content to be distributed. 12 and 13 are diagrams showing examples of distribution patterns according to the modification.

For example, as shown in FIG. 12, the information processing apparatus 100 can apply a questionnaire to part of the content that constitutes the distribution pattern. If there is a distribution history of a questionnaire for a user who satisfies the condition of clicking related advertising content Cc of advertising content Ca, the information processing apparatus 100 sends a questionnaire to the corresponding distribution section (for example, distribution sections G ₂ and G ₃ ). (For example, questionnaires T ₁ and T ₃ ) may be applied.

In addition, as shown in FIG. 13, the information processing apparatus 100 can apply e-mail to part of the content that constitutes the distribution pattern. If there is an e _- mail distribution history for a user who satisfies the condition that he or she clicked related advertising content Cc of advertising content Ca _, the information processing apparatus 100 performs E-mails (eg, e-mails M ₁ , M ₃ ) may also be applied.

Further, in the above-described embodiment, the information processing apparatus 100 may set a story when setting a distribution pattern. For example, the information processing apparatus 100 creates a graph structure from the results of mechanically calculating the degree of relevance of a large amount of content, and sets a path passing through arbitrary start points and end points in the graph structure as a story of a distribution pattern.

[5. Hardware configuration]
The information processing apparatus 100 according to the embodiment and the information processing apparatus 200 according to the modification are implemented by a computer 1000 configured as shown in FIG. 14, for example. FIG. 14 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment and modifications.

Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

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

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

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

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

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 140 by executing programs loaded on the RAM 1200 . In addition, the data in storage unit 130 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via network (communication network) N.

[6. others]
Of the processes described in the above-described embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the processing can also be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

In the above-described embodiment and modification, each part (the setting part 141 and the distribution part 142) of the control unit 140 included in the information processing apparatus 100 is used to realize the information processing method (see FIGS. 5 and 7) by the information processing apparatus 100. ) may be implemented as an add-on to an information processing program pre-installed in the information processing apparatus 100, or may be flexibly described as a dedicated information processing program using a lightweight programming language. It may be realized by

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Further, the above-described embodiment and modifications can be appropriately combined within a range that does not contradict the processing content.

[7. effect]
The information processing device (100, 200) according to the above embodiment or modification includes a setting unit (141, 241) and a distribution unit (142, 242). The setting unit indicates the distribution order of a plurality of contents through the distribution of a plurality of contents to the distribution of a specific content so that the next content to be distributed changes according to the behavior of the user with respect to the contents. Set patterns. The distribution unit sequentially distributes the content to users to whom the advertisement is to be distributed according to the distribution pattern set by the setting unit.

In this way, the information processing apparatus according to the embodiment or modification can increase the possibility that the user will perform a predetermined action with respect to specific content.

In addition, in the information processing device according to the embodiment or modification, the content may be advertising content. As a result, it is possible to increase the likelihood that the user will perform a predetermined action in response to specific advertising content.

In addition, in the information processing device according to the embodiment or the modified example, the setting unit determines the distribution based on the distribution history of the advertising content to each user who has performed a predetermined action with respect to the related advertising content related to the specific advertising content. Set patterns. In other words, the information processing device according to the embodiment and the modified example analyzes the distribution history of the content for each user who has performed a predetermined action on the related advertising content, and determines whether the content is distributed before the related advertising content is distributed. The flow of each distributed content and the presence or absence of a predetermined action for each advertising content are associated to identify a distribution pattern until a predetermined action is performed for related advertising content. Then, the information processing device according to the embodiment and the modified example distributes the specific advertising content according to the distribution pattern specified for the related advertising content, and thus there is a possibility that a predetermined action will be taken with respect to the specific advertising content. can increase

Further, in the information processing device according to the embodiment or the modified example, the setting unit sets the distribution pattern so that competing advertising contents are not consecutive. As a result, the information processing device can prevent the advertising effect of the advertising content from being damaged.

In addition, the information processing device according to the embodiment or the modified example can determine the amount of expenses borne by the advertiser of specific advertising content according to the degree of certainty for each distribution pattern when a predetermined action is performed with respect to specific advertising content. It further comprises a determination unit (242) that determines the . As a result, an appropriate amount of money can be determined as the amount of expenses to be borne by the advertiser.

Further, in the information processing device according to the embodiment or the modified example, when a predetermined action is performed with respect to specific advertising content, the determination unit determines whether the advertiser of each advertising content through which the specific advertising content was distributed , a predetermined performance reward is returned. As a result, the distribution pattern can also be operated as a profitable model. In other words, profit distribution linked to advertisement distribution can be realized.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the setting unit can be read as setting means or a setting circuit.

100, 200 information processing device 110, 210 display unit 120, 220 communication unit 130, 230 storage unit 131, 231 advertisement information storage unit 132, 232 distribution history storage unit 133, 233 user information storage unit 140, 240 control unit 141, 241 Setting unit 142, 242 Delivery unit
243 Deciding Part

Claims (7)

A distribution pattern that indicates the distribution order of multiple pieces of content through the distribution of multiple pieces of content to the delivery of specific content so that the content to be distributed next changes according to the presence or absence of user reactions to the content. a setting part to be set;
a distribution unit that sequentially distributes content to a user to whom content is to be distributed according to the distribution pattern set by the setting unit ;
The setting unit
By analyzing the delivery history of related content related to the specific content, each content delivered to the user up to the delivery of the related content and the presence or absence of the user's reaction to each content are identified. An information processing apparatus characterized by setting the distribution pattern . The setting unit
The information processing apparatus according to claim 1 , wherein the distribution pattern is set so that conflicting contents do not continue. a decision unit that decides the amount of expenses to be borne by the owner of the specific content according to the degree of certainty for each distribution pattern when a predetermined action is performed with respect to the specific content. The information processing apparatus according to claim 1 or 2 . The decision unit
3. When a predetermined action is executed with respect to the specific content, a predetermined performance reward is returned to the owner of each content through which the specific content was distributed. The information processing device according to . The information processing apparatus according to any one of claims 1 to 4 , wherein the content is advertising content. A computer-executed information processing method comprising:
A distribution pattern that indicates the distribution order of multiple pieces of content through the distribution of multiple pieces of content to the delivery of specific content so that the content to be distributed next changes according to the presence or absence of user reactions to the content. a setting step to set;
a distributing step of sequentially distributing content to a user to whom the content is to be distributed according to the distribution pattern set in the setting step ;
The setting step includes:
By analyzing the delivery history of related content related to the specific content, each content delivered to the user up to the delivery of the related content and the presence or absence of the user's reaction to each content are identified. Set the delivery pattern
An information processing method characterized by: to the computer,
A distribution pattern that indicates the distribution order of multiple pieces of content through the distribution of multiple pieces of content to the delivery of specific content so that the content to be distributed next changes according to the presence or absence of user reactions to the content. the setting procedure to be set, and
a distribution procedure for sequentially distributing content to a user to whom the content is to be distributed according to the distribution pattern set by the setting procedure ;
The setting procedure includes:
By analyzing the delivery history of related content related to the specific content, each content delivered to the user up to the delivery of the related content and the presence or absence of the user's reaction to each content are identified. An information processing program characterized by setting the distribution pattern .

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