WO2023182161A1 - Information processing system and information processing method - Google Patents

Abstract

According to one aspect of the present disclosure, in relation to a plurality of defined sections into which a feature space is divided, section information that, for each section, describes features of a set of entities of the corresponding section is acquired from a storage device for storing the section information. A second feature quantity relating to an entity of interest is acquired. A section in the feature space with which the entity of interest is associated is identified as a target section. Definition information for defining a delivery condition for a delivery system is stored for each section of the feature space. A request for delivery that conforms to the delivery condition defined for the target section is issued to the delivery system.

Description

Information processing system and information processing method Cross-reference of related applications

This international application claims priority based on Japanese Patent Application No. 2022-048517 filed with the Japan Patent Office on March 24, 2022, and is based on Japanese Patent Application No. 2022-048517. The entire contents are incorporated by reference into this international application.

The present disclosure relates to an information processing system and an information processing method.

By cross-referencing a plurality of databases, a group of second consumers similar to a group of first consumers selected from the first database is selected from the second database, thereby expanding distribution. A technique for distributing advertisements to a target group of consumers is known (for example, see Patent Document 1).

JP2017-097717A

In recent years, with the spread of smartphones and tablet terminals, interest in advertising distribution to information terminals has increased. A plurality of advertisement distribution companies already exist, and advertisers can distribute advertisements to consumers through these plurality of advertisement distribution companies.

However, the advertisement submission method, especially the distribution destination designation method, differs depending on the advertisement distribution business, and the different designation methods make the advertisement submission complicated for advertisers.

Therefore, according to one aspect of the present disclosure, it is desirable to be able to provide a new technology that can simplify the work on the distributor's side regarding content distribution, not limited to advertisement distribution.

According to one aspect of the present disclosure, an information processing system is provided that includes a partition information storage unit, a target information acquisition unit, a determination unit, a condition information storage unit, and a distribution request unit.

The partition information storage unit stores, for each partition, a feature of a set of entities having the first feature of the corresponding partition, with respect to a plurality of partitions defined by subdividing a feature space corresponding to a set of first features. The partition information is configured to store partition information describing the partition information.

The target information acquisition unit is configured to acquire a second feature amount related to the entity of interest, which is related to the feature described by the partition information. The determining unit is configured to determine, as a target partition, a partition in the feature space to which the entity of interest is associated, by mapping the entity of interest to the feature space based on the partition information and the second feature amount. Ru.

The condition information storage unit is configured to store definition information that defines distribution conditions for the distribution system for each section of the feature space. The distribution request unit is configured to request the distribution system to distribute the content according to the definition information stored in the condition information storage unit. The distribution requesting unit is configured to request the distribution system to perform distribution according to distribution conditions defined for the target partition.

According to this information processing system, it is possible to request the distribution system to distribute content by specifying distribution conditions based on the feature amount of the entity provided by the distribution host. Therefore, according to one aspect of the present disclosure, it is possible to simplify the work on the distributor side regarding content distribution.

According to one aspect of the present disclosure, the distribution system may be a plurality of distribution systems including a first distribution system and a second distribution system. The distribution requesting unit may request distribution of the content to at least one of the plurality of distribution systems.

The above definition information may include first definition information and second definition information. The first definition information may define first distribution conditions that are distribution conditions for the first distribution system. The second definition information may define second distribution conditions that are distribution conditions for the second distribution system.

Based on the first definition information, the distribution requesting unit can request the first distribution system to perform distribution according to the first distribution condition defined for the target section. The distribution requesting unit may request the second distribution system to perform distribution according to the second distribution condition defined for the target section based on the second definition information.

According to this information processing system, it is possible to request each of a plurality of distribution systems to distribute content by specifying distribution conditions that suit the distribution system. Therefore, according to one aspect of the present disclosure, it is possible to simplify the work on the distributor side regarding content distribution using a plurality of distribution systems.

According to one aspect of the present disclosure, the first distribution condition and second distribution condition for each section may be distribution conditions for distributing content to an entity associated with the corresponding section. The first definition information may define the first distribution condition using parameters related to the distribution condition that can be specified to the first distribution system. The second definition information may define the second distribution condition using parameters related to the distribution condition that can be specified to the second distribution system.

According to one aspect of the present disclosure, the distribution requesting unit may request distribution of content to at least one distribution system specified by the distribution instruction source among the plurality of distribution systems. According to this information processing system, a distribution instruction source can realize content distribution through a desired distribution system by simple operations, without having to know in detail how to specify distribution conditions for each of multiple distribution systems. be.

According to one aspect of the present disclosure, the distribution requesting unit can select a distribution request destination from among a plurality of distribution systems depending on the target section. According to this information processing system, it is possible to realize content distribution through an appropriate distribution system.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit. The performance information acquisition unit obtains performance information regarding the effectiveness of content distribution through the corresponding distribution system from at least a first distribution system and a second distribution system among the plurality of distribution systems, and the performance information regarding the effect of content distribution through the corresponding distribution system. It may be configured to acquire track record information that allows the effectiveness to be determined.

The distribution requesting unit can select a distribution request destination according to the distribution effect of the target section determined from the performance information. According to this information processing system, it is possible to realize content distribution through a distribution system with excellent distribution effects.

According to one aspect of the present disclosure, the entity of interest may be multiple entities. The target information acquisition unit can acquire the second feature amount of each of the plurality of entities. By mapping the plurality of entities onto the feature space, the determining unit may determine a group of sections on the feature space to which the plurality of entities are associated as a group of target sections.

The distribution requesting unit requests the first distribution system to perform distribution according to the first distribution condition defined for the target partition for each target partition with respect to the group of target partitions, and The second distribution system may be requested to perform distribution according to the second distribution condition.

According to one aspect of the present disclosure, the distribution requesting unit selects one or more partitions as distribution target partitions from a group of target partitions, and performs delivery according to delivery conditions defined for each of the one or more partitions. may be requested from the distribution system.

According to this information processing system, it is possible to appropriately set distribution target sections based on entity feature values provided by the distribution host, specify distribution conditions according to the section, and request content distribution from the distribution system. I can do it.

According to one aspect of the present disclosure, the distribution requesting unit determines the effect of content distribution through the distribution system of each target partition, and selects the distribution target partition from a group of target partitions based on the content distribution effect. You can choose. According to this information processing system, distribution target sections can be set in consideration of distribution effects.

According to one aspect of the present disclosure, the information processing system is configured to acquire performance information regarding the effectiveness of content distribution through the distribution system, the performance information being able to determine the distribution effectiveness for each section. The acquisition unit may be provided. The distribution requesting unit may select a distribution target section from the group of target sections based on the distribution effect of each target section determined from the performance information.

According to one aspect of the present disclosure, an information processing system may be provided that includes a partition information storage unit, a target information acquisition unit, a determination unit, an entity information storage unit, and a distribution request unit. The target information acquisition unit may be configured to acquire a second feature amount related to the entity of interest and related to a feature described in the section information.

The determining unit is configured to determine, as a target partition, a partition in the feature space to which the entity of interest is associated, by mapping the entity of interest to the feature space based on the partition information and the second feature amount. obtain.

The entity information storage unit may be configured to store, for each section of the feature space, entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each entity.

The distribution requesting unit may be configured to designate a group of identifiers, including the identifiers of the respective entities associated with the target section determined from the entity information, to the distribution system as content distribution destinations. Thereby, the distribution requesting unit may be configured to request the distribution system to distribute the content, such that the distribution system distributes the content to a group of entities associated with the target partition.

According to this information processing system, it is possible to request the distribution system to distribute content by specifying the distribution destination using an identifier based on the feature amount of the entity provided by the distribution host. Therefore, it is possible to simplify the work on the distributor's side regarding specifying the distribution destination using the identifier.

According to one aspect of the present disclosure, an information processing system may be provided that includes a partition information storage unit, a selection unit, a target information acquisition unit, a determination unit, and a distribution request unit. The selection unit may be configured to select one or more sections as distribution target sections from among the plurality of sections.

The target information acquisition unit may be configured to acquire, for each entity, a second feature amount related to the feature described in the partition information for a plurality of entities. The determining unit may be configured to determine a group of entities associated with a distribution target partition as a distribution target entity group by mapping a plurality of entities to a feature space based on the partition information and the second feature amount. .

The distribution request unit may be configured to specify, to the distribution system, the identifier of each entity forming the distribution target entity group as a content distribution destination. Thereby, the distribution requesting unit may be configured to request the distribution system to distribute the content so that the distribution of the content to the distribution target entity group is executed.

According to this information processing system, based on the selection of the distribution target section, it is possible to request the distribution system to distribute the content to the corresponding entity group using the identifier. Therefore, according to one aspect of the present disclosure, even if it is necessary to specify distribution conditions using an identifier, the work on the distributor side can be simplified.

According to one aspect of the present disclosure, the selection unit may be configured to determine the effectiveness of content distribution through the respective distribution systems of the plurality of partitions. The selection unit may select a distribution target section from among the plurality of sections based on the effect of content distribution. According to this information processing system, distribution target sections can be appropriately set in consideration of distribution effects.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit. In this case, the selection unit may select the distribution target section from among the plurality of sections based on the track record information acquired by the track record information acquisition unit.

According to one aspect of the present disclosure, the performance information acquisition unit can acquire performance information regarding the effectiveness of content distribution through the corresponding distribution system, for each of the plurality of distribution systems. The selection unit may select a distribution system to which a distribution request is made from among the plurality of distribution systems for each division corresponding to the distribution target division based on the performance information.

The distribution requesting unit is configured to request, for each division corresponding to the distribution target division, the distribution system of the selected distribution request destination to distribute the content to the entity group associated with the corresponding division among the distribution target entity group. Delivery of content may be requested to be performed. According to this information processing system, it is possible to appropriately select a distribution system to which a distribution request is made in consideration of distribution effects.

According to one aspect of the present disclosure, an information processing system including a partition information storage unit, a target information acquisition unit, a determination unit, a selection unit, an entity information storage unit, and a distribution request unit is provided. good. The target information acquisition unit is configured to acquire, with respect to the plurality of entities, a second feature amount of each of the plurality of entities, and a second feature amount related to the feature described in the section information.

The discriminating unit is configured to determine a group of sections on the feature space in which the plurality of entities are associated as a group of target sections by mapping the plurality of entities to the feature space based on the section information and the second feature amount. configured.

The selection unit is configured to select one or more sections from the group of target sections as distribution target sections. The entity information storage unit is configured to store, for each section of the feature space, entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each entity.

The distribution requesting unit may be configured to designate a group of identifiers, including the identifiers of the respective entities associated with the distribution target section determined from the entity information, to the distribution system as content distribution destinations. The distribution requesting unit is thereby configured to request the distribution system to distribute the content, such that the distribution system distributes the content to a group of entities associated with the distribution target partition.

According to this information processing system, based on the selection of the distribution target section, it is possible to request the distribution system to distribute the content to the corresponding entity group using the identifier.

According to one aspect of the present disclosure, the selection unit determines the effect of content distribution through the distribution system of each target section, and selects the distribution target section from a group of target sections based on the effect of content distribution. It is possible.

According to one aspect of the present disclosure, the information processing system may include a performance information acquisition unit. The selection unit may select a distribution target section from the group of target sections based on the distribution effect of each target section determined from the performance information.

According to one aspect of the present disclosure, an entity may be a person. The identifier used to specify the distribution destination may be an identifier because the distribution system of the distribution request destination distributes the content to the information terminal of the corresponding entity. According to one aspect of the present disclosure, the identifier may include at least one of an advertising ID, a cookie ID, and an email address.

According to one aspect of the present disclosure, a computer program for causing a computer to implement at least some of the functions in the information processing system described above may be provided. According to one aspect of the present disclosure, a computer program for causing a computer to implement the functions of the target information acquisition unit, determination unit, and distribution request unit in the information processing system described above may be provided.

According to one aspect of the present disclosure, a computer program may be provided for causing a computer to implement the functions of the selection unit, target information acquisition unit, determination unit, and distribution request unit in the information processing system described above. . According to one aspect of the present disclosure, a computer program may be recorded on a computer-readable non-transitory storage medium.

According to one aspect of the present disclosure, an information processing method related to the operation of the information processing system described above may be provided. The information processing method may be executed by a computer. The information processing method can produce the same effects as the information processing system described above.

According to one aspect of the present disclosure, an information processing method executed by a computer may be provided. The information processing method calculates, for each partition, a feature of a set of entities having the first feature of the corresponding partition, with respect to a plurality of partitions defined by subdividing a feature space corresponding to a set of first features. The method may include retrieving partition information from a storage device that stores partition information to be described.

The information processing method may include obtaining a second feature amount related to the entity of interest and related to the feature described in the partition information. The information processing method includes determining a section in the feature space to which the entity of interest is associated as a target section by mapping the entity of interest to the feature space based on the section information and the second feature amount. obtain.

The information processing method may include acquiring definition information for each section of the feature space from a storage device that stores definition information that defines distribution conditions for the distribution system. The information processing method may include requesting a distribution system to distribute the content according to the definition information. Requesting may include requesting the distribution system to distribute according to distribution conditions defined for the target partition.

According to one aspect of the present disclosure, there is provided an information processing method executed by a computer, comprising: acquiring the partition information from a storage device; A feature to which the entity of interest is associated is obtained by obtaining a second feature related to the feature to be explained and mapping the entity of interest to the feature space based on the partition information and the second feature. Distinguishing a spatial partition as a target partition, and storing, for each partition in the feature space, entity information that describes a group of entities related to the corresponding partition using an identifier individually assigned to each entity. An information processing method may be provided that includes acquiring entity information from a storage device and requesting a distribution system to distribute content.

The request is made by specifying a group of identifiers, including the identifiers of each of the entities related to the target section determined from the entity information, to the distribution system as a content distribution destination, so that the distribution system can identify entities related to the target section. may include requesting a distribution system to distribute the content, such as to distribute the content to a group of users.

According to one aspect of the present disclosure, there is provided an information processing method executed by a computer, which includes acquiring the partition information from a storage device, and selecting one or more partitions from a plurality of partitions as distribution target partitions. selecting the plurality of entities; and obtaining, for each entity, a second feature related to the feature described by the section information; and features of the plurality of entities based on the section information and the second feature. An information processing method is provided that includes determining a group of entities associated with a distribution target section as a distribution target entity group by mapping to a space, and requesting a distribution system to distribute content. Good too.

The request is to specify the identifier of each entity that constitutes the distribution target entity group as the content distribution destination to the distribution system, so that the distribution system can perform the distribution of the content to the distribution target entity group. This may include requesting the system to deliver the content.

According to one aspect of the present disclosure, there is provided an information processing method executed by a computer, comprising: acquiring the partition information from a storage device; By acquiring a second feature related to the feature described by the partition information and mapping the plurality of entities to the feature space based on the partition information and the second feature, multiple entities can correspond. Distinguishing a group of partitions on the attached feature space as a group of target partitions, selecting one or more partitions as distribution target partitions from the group of target partitions, and determining each partition in the feature space. , obtaining entity information from a storage device that stores entity information that describes a group of entities related to a corresponding partition using an identifier individually assigned to each entity, and distributing the content to a distribution system. An information processing method may be provided that includes: making a request.

The request is made by specifying a group of identifiers, including the identifiers of each entity related to the distribution target section determined from the entity information, to the distribution system as the content distribution destination. The content may include requesting a distribution system to distribute the content to a group of entities that are responsible for distributing the content.

According to one aspect of the present disclosure, a computer program may be provided that includes instructions for causing the computer to execute the above-described information processing method when executed by a computer. A computer-readable recording medium may be provided that stores the computer program.

FIG. 1 is a block diagram showing the configuration of an information processing system. FIG. 2 is an explanatory diagram regarding a table held by the information processing system. FIG. 3 is a diagram illustrating the configuration of a base mesh table. FIG. 4A is a diagram illustrating the configuration of a panel table, and FIG. 4B is a diagram illustrating the configuration of a data holder table. FIG. 5A is a diagram illustrating the configuration of a location information master, and FIG. 5B is a diagram illustrating the configuration of a location characteristic table. FIG. 3 is a diagram illustrating the configuration of a client table. FIG. 7A is a diagram illustrating the configuration of the PFer table, and FIG. 7B is a diagram illustrating the configuration of the DCR table. FIG. 8A is a diagram illustrating a configuration of a mapping table that associates a panel table with a base mesh table, and FIG. 8B is a diagram illustrating a configuration of a mapping table that correlates a data holder table with a base mesh table. FIG. 2 is a diagram illustrating the configuration of a mapping table that associates a client table with a base mesh table. FIG. 10A is a diagram illustrating a configuration of a mapping table that associates a PFer table with a base mesh table, and FIG. 10B is a diagram illustrating a configuration of a mapping table that correlates a DCR table with a base mesh table. 3 is a flowchart showing table creation processing executed by a processor. 2 is a flowchart (Part 1) representing a first submission-related process executed by a processor. 12 is a flowchart (part 2) representing the first submission-related process executed by the processor. FIG. 2 is a conceptual diagram illustrating a series of processing steps related to mapping to a mesh space, segment determination, and submission. 12 is a flowchart representing a second submission-related process executed by the processor. 12 is a flowchart representing third manuscript submission-related processing executed by the processor. FIG. 2 is a conceptual diagram illustrating a series of processing steps related to mapping to a mesh space, expansion of distribution destinations, and submission of documents. It is a flowchart showing the fourth manuscript submission related process which a processor performs. It is a flowchart showing the fifth manuscript submission related process which a processor performs.

DESCRIPTION OF SYMBOLS 10... Information processing system, 11... Processor, 13... Memory, 15... Storage, 17... User interface, 19... Communication interface, 20... Platform operator system, 21... Distribution unit, 25... Effect measurement unit, 30... Client side System, 40... Data holder side system, 110... Base mesh table, 115... Mesh data, 120... Panel table, 125... Panel data, 129... Mapping table, 130... Data holder table, 135... Consumer data, 139... Mapping Table, 140... Location information master, 145... Location data, 150... Location characteristic table, 155... Location characteristic data, 160... Client table, 165... Customer data, 169... Mapping table, 170... PFer table, 175... Segment data, 179... Mapping table, 180... DCR table, 185... DCR data, 189... Mapping table.

Exemplary embodiments of the present disclosure will be described below with reference to the drawings.
<First embodiment>
The information processing system 10 of this embodiment shown in FIG. 1 is a system that submits advertisement content to the platform operator system 20, that is, requests distribution of advertising content, based on a distribution instruction from an advertiser. In response to the distribution request, the platform operator system 20 distributes the corresponding advertising content to the consumer's information terminal under the distribution conditions specified by the distribution request source.

Hereinafter, an advertiser who uses the submission service provided by the information processing system 10 will be referred to as a client. In this embodiment, consumer data 135 is provided by a third party company that maintains a large amount of data. In the following, this third party company will be referred to as a data holder.

The information processing system 10 of this embodiment is configured by installing a computer program necessary for providing a manuscript submission service on one or more servers. Below, in order to simplify the explanation, an example will be described in which the information processing system 10 is implemented by one computer system.

According to this embodiment, the information processing system 10 includes a processor 11, a memory 13, a storage 15, a user interface 17, and a communication interface 19. The processor 11 executes processing according to a computer program stored in the storage 15. The memory 13 is a primary storage device including a RAM, and is used as a work area when the processor 11 executes processing.

The storage 15 is a secondary storage device including, for example, a hard disk drive or a solid state drive, and stores various data in addition to computer programs.

The user interface 17 includes an input device for inputting operation signals from the administrator of the information processing system 10 to the processor 11. The user interface 17 further includes a display for displaying various information to the administrator.

The communication interface 19 is connected to a wide area network. The information processing system 10 is configured to be able to communicate with a plurality of platform operator systems 20 , a plurality of client-side systems 30 , and a data holder-side system 40 through a communication interface 19 .

A relational database is constructed in the information processing system 10 in order to realize the manuscript submission service. In FIG. 2, the information processing system 10 includes a base mesh table 110, a panel table 120, a data holder table 130, a location information master 140, a location characteristics table 150, a client table 160 for each client, and a PFer for each platform provider system 20. Table 170, DCR table 180 for each platform provider system 20, and mapping tables 129, 139, 169, 179, 189 connecting tables 110, 120, 130, 160, 170, 180 are shown. A relational database contains these tables.

The base mesh table 110 illustrated in FIG. 3 is a table that serves as a base point when referring to the tables 120, 130, 160, 170, and 180. The base mesh table 110 includes statistical data for each section regarding a plurality of sections defined by subdividing the feature space. The feature space corresponds to a first set of features regarding the consumer. The statistical data statistically describes the characteristics of the set of consumers in the corresponding section, as described below.

According to this embodiment, the feature space is partitioned into mesh shapes. In the following, one section will be expressed as a mesh. The statistical data of each mesh is expressed as mesh data 115. The concept of a feature space partitioned into a mesh is shown in FIG.

When the first feature describing the consumer's characteristics is expressed as a two-dimensional feature vector including feature X and feature Y, the feature space is defined as the It is a two-dimensional XY coordinate space having a Y axis which is a coordinate axis corresponding to .

Features X numerically express consumer characteristics related to consumer awareness, for example. For example, feature X represents multiple subcategories in a particular category that a consumer may be interested in. A single consumer may be selectively interested in one of multiple subcategories. Feature X represents a plurality of subcategories using a discrete group of numerical values. For example, feature The feature Y may be a numerical representation of a feature related to media contact, for example. For example, feature Y represents the rate of contact with specific media. Examples of specific media include newspapers and magazines.

According to this example, a mesh is defined in the feature space for each combination of the subcategory and the level of contact with the specific media. The contact level may be defined by dividing the contact rate into three levels: "high," "medium," and "low."

For example, one mesh is a section on the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate is placed, and another mesh is a section in the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate is located, and another mesh is a section in the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate is located, and another mesh is a section in the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate are located, and another mesh is a section in the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate are located, and another mesh is a section in the feature space where a set of consumers who are interested in light cars and have a "high" media contact rate are located, is the section on the feature space where the set of consumers with "low" is placed. Here, for easy understanding, an example in which the feature space is a two-dimensional space has been described, but the feature space may be a multidimensional space of three or more dimensions. The first feature amount may be defined in various ways.

As shown in FIG. 3, the base mesh table 110 has mesh data 115 for each consumer group for each of the meshes defined in this way. That is, the base mesh table 110 has mesh data 115 for each combination of mesh and consumer group. The mesh data 115 corresponding to one combination describes the probability that a consumer group corresponding to the combination exists in the mesh corresponding to the combination.

The mesh data 115 shown in FIG. 3 includes a mesh ID that is the identification code of the corresponding mesh, consumer group information that describes the consumer group, and information about the probability that this consumer group exists in the mesh. The consumer group information describes the characteristics of a consumer group by the demographic attributes of this consumer group and other characteristics possessed by this consumer group.

In FIG. 3, the mesh data 115 describes, as demographic attributes of the consumer group, the location ID corresponding to the place of residence of the consumer group, and the gender and age of the consumer group. The location ID is a location identification code.

Elements 1 to N shown in FIG. 3 mean that other characteristics of the consumer group are explained by multiple elements including Elements 1 to N. Examples of multiple factors may include parameters that describe additional demographic attributes such as height, weight, occupation, and parameters that describe characteristics of consumer attitudes and behavior.

Examples of consumer awareness include consumer interests and concerns. Examples of consumer behavior include purchasing behavior and leisure behavior. For example, the parameters that describe the characteristics of consumer behavior may include parameters that describe whether and/or the amount of each of a plurality of products is purchased. The above-described base mesh table 110 may be created based on survey data obtained from one or more large-scale nationwide surveys, including, for example, the national census.

The panel table 120 illustrated in FIG. 4A has participant data for each research participant (hereinafter referred to as "participant") regarding a group of research participants. The participant data includes a participant ID, which is an identification code of the corresponding participant, a weight, demographic attributes of this participant (e.g. place of residence, gender, and age), and other characteristics of this participant, Describe. In a panel survey as a sample survey, each participant represents a subset of the population. Weights describe how many consumers the corresponding participant represents.

The data holder table 130 illustrated in FIG. 4B has consumer data 135 for each consumer provided by the data holder. This consumer data 135 is associated with the consumer ID, which is the identification code of the corresponding consumer, and includes the consumer's advertisement distribution identifier, the consumer's demographic attributes, and the consumer's other characteristics. Describe. The consumer data 135 may include an email address and/or an advertising ID as an identifier for advertising distribution. The consumer data 135 may include, for example, place of residence, gender, and age as demographic attributes.

The data holder may be, for example, a target store or a company that operates a reward program that provides valuable points to buyers in response to purchases of target products. In this case, the data holder accumulates purchase data of each consumer participating in the reward program.

The data holder table 130 may be created based on accumulated purchase data. In this case, consumer data 135 may describe characteristics related to the consumer's purchasing behavior, among other characteristics of the consumer. Characteristics related to purchasing behavior can be described by whether or not a plurality of products are purchased and/or the amount of each purchase.

The consumer ID included in the consumer data 135 may be a member ID of a rewards program. Email addresses may be collected from consumers during member registration. The advertising ID may be collected from an information terminal used for member registration or installation of a digital membership card. As is well known, the advertisement ID is a terminal-specific ID that is individually assigned to each information terminal as an ID for advertisement distribution. Examples of information terminals include smartphones.

The location information master 140 illustrated in FIG. 5A has location data 145 that describes details of the corresponding location for each location ID. The location data 145 describes the location corresponding to the location ID as one or more of large section, medium section, and small section, and also describes the section level.

The partition level has a value of "large", "medium", or "small", and the partition levels "large", "medium", and "small" have the corresponding location IDs corresponding to the large partition, large, and small, respectively. It is meant to indicate a location corresponding to a combination of medium compartments and a location corresponding to a combination of large, medium, and small compartments.

Large divisions are divisions for each prefecture. Medium divisions are divisions for each municipality. A small parcel is a regional unit smaller than a medium parcel. The location information master 140 is used, for example, to determine the relationship between a location ID and a location indicated by an address.

The location characteristic table 150 illustrated in FIG. 5B has location characteristic data 155 for each location ID. The location characteristic data 155 includes multiple types of data representing the characteristics of the location corresponding to the location ID. Examples of multiple types of data include automobile data, land price data, and network-related data. The vehicle data describes the number of registered vehicles by vehicle type in the corresponding location (in other words, region). The land price data describes the land price of each point in the corresponding location. Network-related data statistically describes consumer information obtained through multiple communication terminals located at corresponding locations.

The client table 160 illustrated in FIG. 6 has a group of customer data 165 corresponding to a group of customers of the corresponding client. The customer data 165 for each customer includes the customer's email address, customer's demographic attributes (for example, place of residence, gender, and age), and other customer characteristics in association with the customer ID, which is the identification code of the corresponding customer. and describe. Email addresses are used to contact customers and deliver advertisements. Customer data 165 may further include an advertising ID for advertising delivery.

The other characteristics may be, for example, characteristics related to the customer's purchasing behavior identified from the customer's purchase history through offline/online stores. According to the example of FIG. 6, the customer data 165 describes whether or not each of a plurality of products is purchased and/or the purchase amount as other characteristics of the customer. The demographic attributes and other characteristics of the customer that the customer data 165 has correspond to the second feature amounts that are referenced when mapping the customer to the mesh, and are described as consumer group information in the underlying mesh data. related to the characteristics of

The PFer table 170 illustrated in FIG. 7A is a table for each platform operator system 20, that is, for each platform holder. Each PFer table 170 has segment data 175 for each consumer segment that can be specified as an advertisement distribution destination.

The segment data 175 is data for specifying the corresponding consumer segment to the corresponding platform operator system 20 as an advertisement distribution destination. Specifying an advertisement distribution destination to the platform operator system 20 corresponds to specifying distribution conditions for advertising content to the platform operator system 20.

Segment data 175 describes or defines delivery conditions for delivering advertising content to the corresponding consumer segment through the corresponding platform operator system 20. The method of specifying distribution conditions differs depending on the platform operator system 20. The segment data 175 describes distribution conditions in a manner that can be accepted by the corresponding platform operator system 20.

According to the example of FIG. 7A, the segment data 175 describes the distribution conditions using a group of parameters that can be specified to the corresponding platform operator system 20 in association with the segment ID, which is the classification code of the consumer segment. FIG. 7A shows an example in which the segment data 175 specifies distribution conditions based on residence, gender, age group, and whether or not a plurality of affinity categories are specified.

The DCR table 180 illustrated in FIG. 7B is prepared for each platform operator system 20. Each platform operator system 20 includes a distribution section 21 and an effect measurement section 25, as shown in FIG.

The distribution unit 21 operates to distribute specified advertising content under distribution conditions specified by the information processing system 10. The effect measuring unit 25 operates to measure the consumer's reaction to the distribution of advertising content as a distribution effect. The effect measurement unit 25 further operates to provide the information processing system 10 with aggregate information regarding the measured distribution effects. The aggregate information corresponds to performance information regarding the effectiveness of content distribution.

The effect measurement unit 25 provides a so-called data clean room, and in response to a request from the information processing system 10, provides aggregated information regarding the distribution effect to the requesting information processing system 10.

The DCR table 180 is a table that describes aggregate information obtained from the effect measurement unit 25 of the corresponding platform operator system 20, in other words, the data clean room (DCR).

The DCR table 180 has effect data for each consumer segment for which the platform operator can provide aggregate information. The effect data is associated with the DCR segment ID, which is the identification code of the corresponding consumer segment, and describes the index value regarding the distribution effect together with the attributes of the corresponding consumer segment. Examples of metric values include impressions and conversion rate.

The number of impressions corresponds to the number of times the advertising content is displayed. Conversion rate indicates the percentage of consumers who view advertising content and take a specific action. The conversion rate includes, for example, a page view rate, which is the ratio of a group of consumers who viewed a specific web page to a group of consumers who viewed advertising content. Effectiveness data may describe delivery effectiveness in terms of various metrics.

The configurations of the base mesh table 110, panel table 120, data holder table 130, location information master 140, location characteristics table 150, client table 160, PFer table 170, and DCR table 180 have been described above. Next, the configurations of mapping tables 129, 139, 169, 179, and 189 that associate tables 110, 120, 130, 160, 170, and 180 will be explained.

The mapping table 129 shown in FIG. 8A is a table that associates the panel table 120 and the base mesh table 110. This mapping table 129 describes, for each participant ID used in the panel table 120, a participant ID, a mesh ID associated with the participant ID, and a weight.

A single participant ID may be associated with multiple mesh IDs. In this case, the number of consumers corresponding to the weight described in the panel data 125 of the corresponding participant ID is distributed and associated with a plurality of meshes. That is, the sum of the weights of a plurality of mesh IDs associated with one participant ID corresponds to the weight described by the panel data 125.

The mapping table 139 shown in FIG. 8B is a table that associates the data holder table 130 and the base mesh table 110. This mapping table 139 describes a consumer ID, a mesh ID associated with the consumer ID, and a mapping probability for each consumer ID used in the data Holter table.

The mapping probability corresponds to the probability that the consumer corresponding to this consumer ID is a consumer of the mesh corresponding to the mesh ID. A plurality of mesh IDs may be associated with one consumer ID. In this case, the total mapping probability of multiple mesh IDs associated with one consumer ID may be 1.

The mapping table 169 shown in FIG. 9 is a table that associates the client table 160 and the base mesh table 110. This mapping table 169 describes, for each customer ID used in the client table 160, a customer ID, a mesh ID associated with the customer ID, and a mapping probability.

The mapping probability in the mapping table 169 corresponds to the probability that the customer corresponding to the customer ID is a consumer of the corresponding mesh. A plurality of mesh IDs may be associated with one customer ID. In this case, the total mapping probability of multiple mesh IDs associated with one customer ID may be 1.

The mapping table 179 shown in FIG. 10A is prepared for each PFer table 170 and is a table that associates one corresponding PFer table 170 with the base mesh table 110. This mapping table 179 describes, for each segment ID used in the PFer table 170, a segment ID and a mesh ID associated with the segment ID.

The mapping table 189 shown in FIG. 10B is prepared for each DCR table 180 and is a table that associates one corresponding DCR table 180 with the base mesh table 110. This mapping table 189 describes, for each DCR segment ID used in the DCR table 180, a DCR segment ID and a mesh ID associated with the DCR segment ID.

FIG. 11 is a flowchart showing table creation processing that the processor 11 executes every time the client table 160 is provided from the client-side system 30. The processor 11 executes the process shown in FIG. 11 to create a mapping table 169 shown in FIG. 9 that associates the client table 160 and the base mesh table 110.

When this process starts, the processor 11 acquires the processing target client table 160 provided by the client-side system 30 and stored in the storage 15 by reading it from the storage 15 (S110). The processor 11 further acquires the base mesh table 110 by reading it from the storage 15 (S120). The processor 11 executes mapping processing based on the acquired client table 160 and base mesh table 110 (S130).

In the mapping process, the processor 11 calculates, for each customer data 165 included in the acquired client table 160, the second feature amount of the corresponding customer indicated by the customer data 165 and the existence probability of each consumer group in each mesh. Based on this, the mapping probability, which is the probability that the corresponding customer is associated with each mesh, is calculated. The mapping here corresponds to probabilistically associating each customer with one or more of a plurality of meshes in the feature space (in other words, mesh space) based on the base mesh table 110 and the client table 160.

Thereafter, the processor 11 creates a mapping table 169 so as to associate the mesh ID of the corresponding mesh with the customer ID of the corresponding customer for each of the one or more meshes for which the mapping probability is not zero.

In the following S140, the processor 11 associates the mapping table 169 created in S130 with the corresponding client table 160 and registers it in the storage 15, particularly in the relational database. In this way, the processor 11 executes table creation processing each time the client table 160 is provided from the client-side system 30.

The number of client tables 160 and mapping tables 169 registered in the relational database increases as the number of clients using the submission service provided by the information processing system 10 increases, and as a result, meaningful information is accumulated in the relational database. Ru.

FIGS. 12 and 13 are flowcharts showing the first submission-related process that the processor 11 executes when a distribution instruction is input from the client-side system 30.

Upon starting the first submission-related process, the processor 11 acquires the advertising content to be distributed and the distribution destination-related information from the distribution instruction source (S310). The distribution destination related information includes information necessary for determining distribution conditions specified by the information processing system 10 to the platform operator system 20.

The distribution destination related information handled in the first submission related process describes the customer ID group of the customer group corresponding to the consumer segment to which the distribution instruction source desires distribution, as the attention customer ID group. The customer group here is the customer group of the client that issued the distribution instruction. The distribution destination related information further includes information specifying the platform operator system 20 of the submission destination, that is, the distribution request destination.

In subsequent S320, the processor 11 determines the mesh ID group associated with the attention customer ID group as the mesh ID group to be distributed. The processor 11 refers to the mapping table 169 corresponding to the client that has issued the distribution instruction, and determines the mesh ID group associated with the attention customer ID group with a mapping probability equal to or higher than a predetermined probability as the mesh ID group to be distributed. be able to.

The mapping table 169 corresponding to the client that is the source of the distribution instruction is a mapping table 169 that associates the client table 160 that has the customer data 165 of the client that is the source of the distribution instruction with the base mesh table 110.

In the following S325, the processor 11 determines whether there are two or more platform operator systems 20 designated as submission destinations based on the distribution destination related information. When determining that there are two or more designated platform operator systems 20 (Yes in S325), the processor 11 executes the processes of S360 to S395. On the other hand, if it is determined that there is one designated platform operator system 20 (No in S325), the processor 11 executes the processes of S330 to S350.

In S330, the processor 11 refers to the mapping table 179 corresponding to the PFer table 170 of the platform operator system 20 of the submission destination, and assigns the mesh ID group of distribution targets determined in S320 to the platform operator system 20 of the submission destination. Convert to segment ID group of system 20.

As described above, the mapping table 179 describes the association between mesh IDs and segment IDs. The processor 11 converts the mesh ID group to be distributed into a segment ID group according to the association indicated by the mapping table 179.

In subsequent S340, the processor 11 refers to the PFer table 170 of the platform operator system 20 as the destination of submission, and creates submitted data that conforms to the delivery condition specification method of the platform operator system 20 as the destination of submission. .

The created submitted data includes information specifying distribution conditions for distributing advertising content to the consumer segment group corresponding to the segment ID group after conversion.

As described above, in the PFer table 170, the distribution conditions for requesting the platform operator system 20 to distribute advertisements to the corresponding consumer segment for each segment ID include a plurality of parameters that can be accepted by the platform operator system 20. It is described using

The processor 11 can read a group of segment data 175 corresponding to the converted segment ID group from the PFer table 170 and create submitted data that describes these distribution conditions.

In subsequent S350, the processor 11 transmits the submission data created in S340 to the platform operator system 20 to which the manuscript is submitted, thereby transmitting a distribution request specifying distribution conditions to the platform operator system 20, Complete the submission. Thereafter, the processor 11 ends the first submission-related process.

If there are two or more platform operator systems 20 as destinations of submission specified by the distribution destination related information, as described above, the processor 11 executes the processes of S310 and S320 in the first submission related process. , executes the processes of S360 to S395 shown in FIG.

In S360, the processor 11 selects one of the platform operator systems 20 to which the manuscript is submitted as the target system. In subsequent S370, the processor 11 refers to the mapping table 179 regarding the PFer table 170 of the target system. The processor 11 converts the distribution target mesh ID group determined in S320 into a segment ID group associated with the mapping table 179 of the target system.

In the following S380, the processor 11 refers to the PFer table 170 of the target system based on the segment ID group after conversion. The processor 11 creates submitted data that is compatible with the distribution condition designation method in the target system, according to the distribution conditions of the segment ID group described in the PFer table 170.

In the following S390, the processor 11 transmits the submission data created in S380 to the target system. Thereby, the processor 11 transmits a distribution request specifying distribution conditions to one platform operator system 20, which is the target system, and completes submission.

In this way, when a plurality of platform operator systems 20 are specified as destinations in the distribution destination related information, the processor 11 sequentially selects the plurality of platform operator systems 20 specified as destinations. , is selected as the target system (S360). The processor 11 creates submitted data that conforms to the distribution condition specification method in the selected target system (S370, S380), and transmits it to the target system (S390). When the submission to all platform operator systems 20 designated as submission destinations is completed (Yes in S395), the processor 11 ends the first submission-related process.

According to the first submission-related process, the client does not need to know in detail the method of specifying distribution conditions in one or more platform operator systems 20 desired as submission destinations. The client only needs to inform the information processing system 10 of the customer ID group of its own customer group, which indirectly represents the consumer segment to which it wants to distribute advertisements, and the client can manage the consumption through one or more platform operator systems 20. It is possible to realize advertisement distribution to user segments.

As shown in FIG. 14, the information processing system 10 maps the client's customer ID group to the feature space described in the base mesh table 110 through the first submission-related process, and identifies the mesh to which each customer belongs. It is determined (S320).

The information processing system 10 further determines the consumer segment corresponding to the mesh and the related distribution conditions for each submission destination, and creates submission data according to the platform operator system 20 of the submission destination (S380). . The information processing system 10 uses the created submission data to realize submission to the platform operator system 20 (S390).

As can be understood from FIG. 14, for the same attention customer ID group described in the distribution destination related information, the first platform operator system 20 has an input that specifies segments A, B, and C as distribution destination segments. The manuscript data is created. On the other hand, submitted data is created in the second platform operator system 20 that specifies segments I, II, and III as distribution destination segments. Therefore, according to this embodiment, it is possible to simplify the work on the advertiser side regarding distribution of advertising content.

[Second embodiment]
The information processing system 10 of the second embodiment is configured such that the processor 11 executes the second submission-related process shown in FIG. 15 in addition to or instead of the first submission-related process described in the first embodiment. Ru. Below, details of the second submission-related process executed by the processor 11 will be selectively explained as the configuration of the information processing system 10 of the second embodiment. It may be understood that the configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 that are not mentioned in this embodiment are the same as those in the first embodiment.

FIG. 15 is a flowchart showing the second submission-related process executed by the processor 11 when the second distribution instruction is input from the client-side system 30. When the second submission-related process is started, the processor 11 acquires the advertisement content to be distributed and the distribution destination-related information from the distribution instruction source in S410.

The distribution destination-related information handled in the second submission-related process is different from the distribution destination-related information handled in the first submission-related process, and includes information on a group of featured customer IDs, but the platform operator system of the submission destination Does not include information specifying 20.

In the second submission-related process, the processor 11 selects an appropriate platform operator system 20 from among the plurality of platform operator systems 20 for each mesh ID to be distributed, taking into consideration the distribution effect of advertising content. do. The processor 11 submits the manuscript to the selected platform operator system 20.

After the process in S410, similarly to the process in S320, the processor 11 refers to the mapping table 169 corresponding to the client that has issued the distribution instruction, and determines the mesh ID that corresponds to the attention customer ID group described in the distribution destination related information. The group is determined as a mesh ID group to be distributed (S420).

In subsequent S430, the processor 11 selects one mesh ID to be processed from among the mesh ID group to be distributed. Thereafter, the processor 11 selects the platform operator system 20 to which the mesh ID to be processed is submitted from among a plurality of predetermined platform operator systems 20 (S440). The platform operator system 20 selected here is the platform operator system 20 that requests distribution of advertising content to the consumer segment corresponding to the mesh ID to be processed.

In S440, the processor 11 acquires aggregate information regarding distribution effects from each platform operator system 20 with respect to a plurality of platform operator systems 20 that can be selected as submission destinations (S441). For each platform operator system 20, the processor 11 updates the DCR table 180 of the corresponding platform operator system 20 based on the aggregated information acquired from the effect measurement unit 25 of this platform operator system 20 (S443). .

The processor 11 extracts the DCR data 185 of the DCR segment ID corresponding to the mesh ID to be processed from the updated DCR table 180 of each platform operator system 20 (S445). The relationship between the mesh ID and the DCR segment ID is determined by referring to the mapping table 189 that associates the DCR table 180 with the base mesh table 110.

The processor 11 compares the extracted DCR data 185 for each platform operator system 20 between the platform operator systems 20, and selects the platform operator system 20 with the highest distribution effect from the platform operator system 20 as the destination platform operator system. (S447).

In S447, the processor 11 can select the platform operator system 20 with the greatest distribution effect as the platform operator system 20 to which the manuscript will be submitted. According to another example, the processor 11 can select a predetermined number of platform operator systems 20 in descending order of distribution effectiveness as the platform operator systems 20 to which the manuscript is submitted.

The height of the distribution effect can be determined based on the conversion rate included in the DCR data 185, for example. Alternatively, the processor 11 may calculate a score regarding the height of the distribution effect by substituting index values of multiple types of distribution effects into a predetermined score calculation formula, and determine the height of the distribution effect based on the score. You may.

When the platform operator system 20 to which the manuscript is submitted corresponding to the mesh ID to be processed is selected in S440, the processor 11 executes the process in S450. In S450, the processor 11 determines whether the platform operator system 20 selected as the submission destination for the mesh ID to be processed satisfies predetermined submission conditions.

The predetermined submission condition may be that the distribution effect in the platform operator system 20 to which the submission is submitted is greater than or equal to a threshold value. If multiple platform operator systems 20 are selected as the submission destination for the mesh ID to be processed, it is determined whether the platform operator system 20 that is the submission destination with the greatest distribution effect satisfies the submission conditions. can be determined.

The processor 11 can determine that the submission condition is not satisfied when the distribution effect in the platform operator system 20 to which the submission is submitted is less than the threshold value. The processor 11 can determine that the submission condition is satisfied when the distribution effect in the platform operator system 20 to which the submission is submitted is equal to or greater than the threshold value.

When the processor 11 determines that the submission conditions are not satisfied (No in S450), the processor 11 excludes the mesh ID to be processed from the mesh IDs to be distributed (S455). This exclusion means that submission based on the mesh ID to be processed is not performed to any platform operator system 20.

When the processor 11 determines that the submission conditions are satisfied (Yes in S450), the processor 11 sets the mesh ID to be processed based on the mesh ID corresponding to the platform operator system 20 to which the submission is made, as in the processing in S330 and S370. The segment ID is converted into a segment ID and set as the segment ID to be distributed (S460).

After completing the process in S455 or S460, the processor 11 determines whether the processes in and after S430 have been executed for all mesh IDs to be distributed (S470). If it is determined that the process has not been executed (No in S470), the processor 11 selects one new mesh ID to be processed from among the mesh ID group to be distributed (S430), and executes the processes from S440 onward. Execute.

When the processor 11 determines that the processes from S430 onwards have been executed for all the mesh IDs to be distributed in this way (Yes in S470), the Submitted data specifying distribution conditions for distributing advertising content to a group of consumer segments corresponding to a group of segment IDs is created (S480).

In this embodiment, the platform operator system 20 to which the manuscript is submitted is selected from among the plurality of platform operator systems 20 for each mesh ID. In S480, submission data is created so that the delivery condition based on the segment ID corresponding to the mesh ID is specified in the platform operator system 20 of the submission destination corresponding to the mesh ID.

After that, the processor 11 transmits the above manuscript data for the corresponding platform operator system 20 to each platform operator system 20 to which the manuscript is submitted, and completes the submission (S490). Thereafter, the second submission control process ends.

According to the information processing system 10 of the present embodiment described above, a mesh group with a high distribution effect is selected as a mesh group to be distributed from among the mesh groups corresponding to the attention customer ID group (S450 to S460). . Furthermore, for each mesh, a platform operator system 20 with a high distribution effect among the plurality of platform operator systems 20 is selected as the submission destination. Therefore, according to the present embodiment, based on the information on the group of attention customer IDs provided by the client, advertising content is distributed to meaningful consumer segments through the advantageous platform operator system 20 from the viewpoint of distribution effectiveness. can be delivered. Therefore, a more convenient manuscript submission service can be provided to the client.

[Third embodiment]
The information processing system 10 of the third embodiment is configured such that the processor 11 executes the third submission-related process shown in FIG. 16 in addition to or in place of the process described in the first or second embodiment. Below, details of the third submission-related process executed by the processor 11 will be selectively explained as the configuration of the information processing system 10 of the third embodiment. It may be understood that the configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 that are not mentioned in this embodiment are the same as those in the first or second embodiment.

FIG. 16 is a flowchart showing the third submission-related process executed by the processor 11 when the third distribution instruction is input from the client-side system 30. When the third submission-related process is started, the processor 11 acquires the advertisement content to be distributed and the distribution destination-related information from the distribution instruction source in S510.

The distribution destination-related information handled in the third submission-related process is the same as the distribution destination-related information handled in the first submission-related process, and includes information on the attention customer ID group and the platform operator system 20 of the submission destination. and information specifying.

However, the focused customer ID group in this embodiment may be the customer ID group of all customers whose customer data 165 is prepared in the client table 160 of the corresponding client. In this case, the distribution destination related information does not need to include information on the group of customer IDs of interest, and the processor 11 may treat the group of customer IDs of all customers of the client as the group of customer IDs of interest.

After processing in S510, the processor 11 refers to the mapping table 169 corresponding to the client that is the distribution instruction source, and converts the mesh ID group corresponding to the attention customer ID group described in the distribution destination related information into the mesh ID of the distribution candidate. It is determined as a group (S520).

In subsequent S530, the processor 11 extracts only the mesh ID group that satisfies a predetermined condition from the distribution candidate mesh ID group as the distribution target mesh ID group. For example, the processor 11 can determine, for each mesh, the number of client customers mapped to the corresponding mesh by counting the number of customer IDs associated with each mesh ID of the distribution candidate.

The number of customers may be weighted based on the mapping probability. Based on the number of customers for each mesh, the processor 11 can determine one or more predetermined number of meshes as distribution targets in descending order of the number of customers. The processor 11 can extract the determined mesh ID group as a mesh ID group to be distributed.

Alternatively, in order to cultivate customers in a consumer segment with a small number of customers, the processor 11 can determine one or more predetermined number of meshes as distribution targets in order of decreasing number of customers. The processor 11 can extract the determined mesh ID group as a mesh ID group to be distributed.

Alternatively, the processor 11 may extract one or more predetermined number of mesh ID groups from among the distribution candidate mesh ID groups in descending order of distribution effectiveness as the distribution target mesh ID group. For this purpose, the processor 11 can refer to the DCR table 180 and related mapping table 189 of the platform operator system 20 to which the manuscript is submitted. Processor 11 can determine the distribution effectiveness for each consumer segment corresponding to the distribution candidate mesh ID group from the corresponding DCR data 185. Similar to the second embodiment, the magnitude of the distribution effect can be determined based on the conversion rate and the score according to the score calculation formula.

In the following S540, the processor 11 converts the mesh ID group to be distributed into a group of advertisement distribution identifiers of the corresponding consumer group. Examples of advertisement distribution identifiers include e-mail addresses and advertisement IDs, as described above. Alternatively, a cookie ID may be used as an alternative advertisement distribution identifier. The above-mentioned tables 130 and 160 may describe cookie IDs.

If the platform operator system 20 of the submission destination is configured to be able to accept a distribution request that specifies, as a distribution condition, a distribution destination consumer using the email address used by the consumer, the processor 11: A group of mesh IDs to be distributed can be converted into a group of email addresses of a corresponding group of consumers.

The platform operator system 20 of the submission destination is configured to be able to accept a distribution request that specifies, as a distribution condition, a distribution destination consumer using an advertising ID assigned to an information terminal used by the consumer. In this case, the processor 11 can convert the group of mesh IDs to be distributed into a group of advertisement IDs of the corresponding group of consumers.

The distribution destination consumer group includes the customer group mapped to the mesh group corresponding to the distribution target mesh ID group. Based on the mapping table 169 that associates the client table 160 with the base mesh table 110, the processor 11 can determine the customer ID group that is associated with the distribution target mesh ID group. The customer ID group determined here may be a customer ID group with a mapping probability equal to or higher than a predetermined value.

As described above, the customer data 165 may include an email address and/or an advertising ID as an identifier for advertising distribution. The processor 11 can convert the customer ID group into a group of advertisement distribution identifiers by referring to the customer data 165 group corresponding to the customer ID group. The processor 11 can give up converting customer IDs into advertisement distribution identifiers for which the advertisement distribution identifier cannot be obtained from the customer data 165.

The processor 11 may utilize the data holder table 130. The processor 11 can determine the consumer ID group associated with the mesh ID group to be distributed by referring to the mapping table 139 that associates the base mesh table 110 with the data holder table 130. The consumer ID group determined here may be a consumer ID group with a mapping probability equal to or higher than a predetermined value.

The processor 11 can refer to the data holder table 130 to convert this group of consumer IDs into a group of advertisement distribution identifiers. As described above, the consumer data 135 includes an identifier for advertising distribution.

In this way, the distribution destination consumer group includes, among the consumer groups registered in the data holder table 130, the consumer group mapped to the mesh group corresponding to the distribution target mesh ID group, in addition to the customer group. , or may be included instead of the customer group. A consumer group mapped to a mesh group corresponds to a consumer group associated with the mesh group.

In subsequent S550, the processor 11 transmits the submitted data that describes a group of converted advertisement distribution identifiers, and distributes the advertisement content to the information terminal corresponding to these advertisement distribution identifiers at the submission destination. Draft data to be requested to the platform operator system 20 is created.

In the following S560, the processor 11 transmits the submitted data created in S550 to the platform operator system 20 to which the submitted data is submitted. Thereby, the processor 11 transmits a distribution request specifying distribution conditions to the platform operator system 20, and completes submission. Thereafter, the processor 11 ends the third submission-related process.

According to the information processing system 10 of the present embodiment described above, a mesh group to be distributed is determined by mapping a group of attention customer IDs to a mesh space (that is, a meshed feature space). Furthermore, the information processing system 10 identifies entities (customers or consumers) related to the distribution target mesh group based on the client table 160 and/or data holder table 130 as entity information, and related mapping tables 169, 139. A group of advertisement distribution identifiers corresponding to the group is determined. The information processing system 10 designates the determined group of advertisement distribution identifiers to the platform operator system 20 as advertisement content distribution destinations.

Thereby, the information processing system 10 requests the platform operator system 20 to distribute the advertising content so that the platform operator system 20 distributes the advertising content to a group of consumers related to the distribution target mesh group. .

As described above, according to the information processing system 10 of the present embodiment, it is possible to request the platform operator system 20 to distribute content based on a group of attention customer IDs and by specifying a distribution destination using an identifier for advertisement distribution. can.

Furthermore, based on the group of consumer data 135 provided by the data holder, this information processing system 10 uses not only the advertisement distribution identifiers of the group of noted customer IDs, but also the advertisement distribution identifiers specified as distribution destinations. As shown in FIG. 17, it can be extended to the advertisement distribution identifiers of the consumer ID group mapped to the same meshes (M1, M2, M3). Therefore, according to this embodiment, it is possible to provide a more convenient submission service for advertisers.

As a modified example, in S540, the processor 11 converts the distribution target mesh ID group into a segment ID group corresponding to the platform operator system 20 of the submission destination, as in the first embodiment and the second embodiment. Good too. In S550, the processor 11 may create submitted data specifying distribution conditions based on the segment data 175 group corresponding to the segment ID group.

[Fourth embodiment]
In the information processing system 10 of the fourth embodiment, the processor 11 executes the fourth submission-related process shown in FIG. 18 in addition to or instead of the process described in the first, second, or third embodiment. configured. Below, details of the fourth submission-related process executed by the processor 11 will be selectively explained as the configuration of the information processing system 10 of the fourth embodiment. It may be understood that the configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 that are not mentioned in this embodiment are the same as those in the first, second, or third embodiment.

FIG. 18 is a flowchart showing the fourth submission-related process executed by the processor 11 when the fourth distribution instruction is input from the client-side system 30. When the fourth submission-related process is started, the processor 11 acquires the advertisement content to be distributed and the distribution destination-related information from the distribution instruction source in S610.

The distribution destination-related information handled in the fourth submission-related process does not include information on the attention customer ID group, unlike the distribution destination-related information handled in the first, second, and third submission-related processes. The distribution destination related information includes information specifying the mesh group to be distributed and information specifying the platform operator system 20 to which the submission is to be submitted. A mesh group is specified by a group of corresponding mesh IDs. The platform operator system 20 to which data is submitted may be designated for each mesh.

In the following S620, the processor 11 selects the specified mesh ID group as the mesh ID group to be distributed, according to the distribution destination related information. Thereafter, the processor 11 converts the mesh ID group to be distributed into a group of advertisement distribution identifiers of the corresponding consumer group, similarly to the process in S540 (S630).

In S630, the processor 11 can convert, for each mesh ID, the mesh ID into an identifier for advertisement distribution of the consumer group mapped to the corresponding mesh. At this time, it is possible to employ a type of advertisement distribution identifier that can be accepted by the platform operator system 20 to which the advertisement is submitted.

In subsequent S640, the processor 11 describes, for each platform operator system 20 to which the advertisements are submitted, a group of converted advertisement distribution identifiers corresponding to a group of mesh IDs whose submission is to this platform operator system 20. Create traffic data. The submission data is created in order to request the submission destination platform business system 20 to distribute advertisement content to the information terminal corresponding to these advertisement distribution identifiers.

In the following S650, the processor 11 transmits the submitted data created in S640 to each platform operator system 20 to which the submitted documents are submitted. Thereby, the processor 11 transmits a distribution request specifying distribution conditions to the platform operator system 20, and completes submission. Thereafter, the processor 11 ends the fourth submission-related process.

According to the information processing system 10 of the present embodiment described above, it is possible to submit data using an advertisement distribution identifier regarding a consumer segment corresponding to a mesh group specified by an advertiser. Also in this embodiment, the mesh ID group to be distributed may be converted into a segment ID group instead of a group of advertisement distribution identifiers. Submitted data may be created with distribution conditions specified based on the segment data 175 group corresponding to the segment ID group.

[Fifth embodiment]
In the information processing system 10 of the fifth embodiment, the processor 11 executes the fifth submission-related process shown in FIG. 19 in addition to or instead of the process described in the first, second, third, or fourth embodiment. configured to do so. Below, details of the fifth manuscript submission-related process executed by the processor 11 will be selectively explained as the configuration of the information processing system 10 of the fifth embodiment. The configuration of the information processing system 10 and the peripheral configuration of the information processing system 10 that are not mentioned in this embodiment may be understood to be the same as those in the first, second, third, or fourth embodiment.

FIG. 19 is a flowchart showing the fifth submission-related process executed by the processor 11 when the fifth distribution instruction is input from the client-side system 30. When the fifth submission-related process is started, in S710, the processor 11 determines the distribution in the mesh space of all customer groups registered in the client table 160 of the distribution instruction source, as the customer distribution of the distribution instruction source client. . The customer distribution can be evaluated by the ratio of the customer groups mapped to each mesh to the total customer group. Each customer can be counted as a number of people depending on the mapping probability.

In the following S720, the processor 11 determines the distribution in the mesh space of a group of consumers in the same market as the client, as the consumer distribution in the market. For example, the processor 11 can determine the distribution from information contained in the location characteristics table 150, the data holder table 130, and/or the client table 160 of other clients.

In the following S730, the processor 11 selects a mesh group to be distributed from the mesh space based on the difference between the customer distribution of the client that issued the distribution instruction determined in S710 and the consumer distribution of the market determined in S720. For example, it is possible to determine from the customer distribution a mesh group with fewer customers than the consumer distribution of the market, and select the mesh group with fewer customers as the mesh group to be distributed.

Thereafter, the processor 11 creates submitted data that sets distribution conditions for distributing advertising content to a group of consumer segments corresponding to the mesh group to be distributed (S740). The processor 11 can create submitted data by referring to the segment data 175 group associated with the segment ID group corresponding to the mesh group to be distributed.

Alternatively, the processor 11 can determine a group of advertisement distribution identifiers of a consumer group corresponding to a mesh group to be distributed, and create submitted data that describes this. The platform operator system 20 to which the submission is submitted may be specified by the distribution instruction source, for example.

Alternatively, the platform operator system 20 to which the manuscript is submitted may be selected from among a plurality of platform operator systems 20 in consideration of the distribution effect. The platform operator system 20 to which data is submitted may be selected for each mesh.

In the following S750, the processor 11 completes submission by transmitting the created submission data to the corresponding platform operator system 20.

According to the information processing system 10 of the present embodiment described above, the mesh group to be distributed is determined based on the difference between the consumer distribution in the market and the customer distribution. This allows for proper submission.

[others]
The present disclosure is not limited to the embodiments described above, and can take various forms. For example, the technology of the present disclosure may be used to distribute information content other than advertising content.

In the first submission-related process and the second submission-related process, submission data may be created using the advertisement distribution identifier. For example, in S330 and S370, with reference to the data holder table 130, the mesh ID group may be converted into a group of advertisement distribution identifiers of the consumer group mapped to the corresponding mesh group. In S340 and S380, submission data describing a group of advertisement distribution identifiers may be created.

Similarly, in S460, with reference to the data holder table 130, the mesh ID to be processed may be converted into a group of advertisement distribution identifiers of consumer groups mapped to the corresponding mesh group. In S480, submission data may be created that describes a group of advertisement distribution identifiers for one or more submission destinations.

The function that one component in the above embodiment has may be distributed and provided to multiple components. Functions possessed by multiple components may be integrated into one component. A part of the configuration of the above embodiment may be omitted. At least a part of the configuration of the embodiment described above may be added to or replaced with the configuration of other embodiments described above. All aspects included in the technical idea specified from the words in the claims are embodiments of the present disclosure.

Claims (26)

1. Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. a partition information storage unit configured to store;
   a target information acquisition unit configured to acquire a second feature amount related to the feature described by the section information, which is a second feature amount regarding the entity of interest;
   By mapping the entity of interest to the feature space based on the section information and the second feature amount, a section on the feature space to which the entity of interest is associated is determined as a target section. a discriminating unit configured;
   a condition information storage unit configured to store definition information that defines distribution conditions for the distribution system for each section of the feature space;
   a distribution requesting unit configured to request the distribution system to distribute content according to the definition information stored in the condition information storage unit;
   Equipped with
   The distribution requesting unit is an information processing system that requests the distribution system to perform distribution according to the distribution conditions defined for the target partition.
2. The distribution system is a plurality of distribution systems including a first distribution system and a second distribution system,
   The definition information includes first definition information that defines a first distribution condition that is a distribution condition for the first distribution system, and a second distribution condition that defines a distribution condition for the second distribution system. including second definition information to
   The distribution requesting unit requests at least one of the plurality of distribution systems to distribute the content, and requests the first distribution system to define the content for the target section based on the first definition information. requests the second distribution system to follow the second distribution condition defined for the target section based on the second definition information; The information processing system according to claim 1, which requests distribution.
3. The first distribution condition and the second distribution condition for each section are distribution conditions for distributing the content to an entity related to the corresponding section,
   The first definition information defines the first distribution condition using parameters related to the distribution condition that can be specified to the first distribution system,
   3. The information processing system according to claim 2, wherein the second definition information defines the second distribution condition using parameters related to the distribution condition that can be specified to the second distribution system.
4. The information processing system according to claim 2 or 3, wherein the distribution requesting unit requests distribution of the content to at least one distribution system specified by a distribution instruction source among the plurality of distribution systems.
5. The information processing system according to any one of claims 2 to 4, wherein the distribution requesting unit selects a distribution request destination from among the plurality of distribution systems according to the target partition.
6. Performance information regarding the effectiveness of content distribution through the corresponding distribution system from at least the first distribution system and the second distribution system among the plurality of distribution systems, the performance information regarding the distribution effect for each section. further comprising a performance information acquisition unit configured to acquire distinguishable performance information,
   The information processing system according to claim 5, wherein the distribution requesting unit selects the distribution request destination according to the distribution effect of the target section determined from the performance information.
7. The entity of interest is a plurality of entities,
   The target information acquisition unit acquires a second feature amount of each of the plurality of entities,
   The determining unit determines, by mapping the plurality of entities onto the feature space, a group of sections on the feature space to which the plurality of entities are associated as a group of target sections;
   The distribution requesting unit requests the first distribution system for distribution according to the first distribution condition defined for the target zone for each target zone with respect to the group of target zones; 7. The information processing system according to claim 2, wherein the second distribution system is requested to perform distribution according to the second distribution condition defined for the target section.
8. The entity of interest is a plurality of entities,
   The target information acquisition unit acquires a second feature amount of each of the plurality of entities,
   The determining unit determines, by mapping the plurality of entities onto the feature space, a group of sections on the feature space to which the plurality of entities are associated as a group of target sections;
   The distribution requesting unit selects one or more sections as distribution target sections from the group of target sections, and causes the distribution system to perform distribution according to the distribution conditions defined for each of the one or more sections. The information processing system according to any one of claims 1 to 5, wherein the information processing system requests the following information.
9. The distribution requesting unit determines the effect of content distribution through the distribution system for each of the target sections, and selects the distribution target section from the group of target sections based on the effect of the content distribution. The information processing system according to item 8.
10. Further comprising: a performance information acquisition unit configured to acquire performance information regarding the effectiveness of content distribution through the distribution system, the performance information being able to determine the distribution effectiveness for each section;
    10. The information processing system according to claim 9, wherein the distribution requesting unit selects the distribution target section from the group of target sections based on the distribution effect of each of the target sections determined from the performance information.
11. Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. a partition information storage unit configured to store;
    a target information acquisition unit configured to acquire a second feature amount related to the feature described by the section information, which is a second feature amount regarding the entity of interest;
    By mapping the entity of interest to the feature space based on the section information and the second feature amount, a section on the feature space to which the entity of interest is associated is determined as a target section. a discriminating unit configured;
    an entity information storage unit configured to store, for each of the sections of the feature space, entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each of the entities; ,
    a distribution request unit configured to request the distribution system to distribute the content;
    Equipped with
    The distribution requesting unit specifies, to the distribution system, a group of identifiers including the identifiers of the entities associated with the target partition determined from the entity information as distribution destinations of the content. an information processing system that requests the distribution system to distribute the content such that the content is distributed to a group of entities associated with the target partition.
12. Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. a partition information storage unit configured to store;
    a selection unit configured to select one or more sections from the plurality of sections as distribution target sections;
    a target information acquisition unit configured to acquire, for each entity, a second feature related to the feature described in the partition information with respect to a plurality of entities;
    The system is configured to determine a group of entities associated with the distribution target partition as a distribution target entity group by mapping the plurality of entities to the feature space based on the partition information and the second feature amount. a discriminator,
    a distribution request unit configured to request the distribution system to distribute the content;
    Equipped with
    The distribution request unit executes the distribution of the content to the distribution target entity group by specifying, to the distribution system, an identifier of each entity constituting the distribution target entity group as a distribution destination of the content. An information processing system that requests the distribution system to distribute the content.
13. The selecting unit determines the effect of content distribution through the distribution system for each of the plurality of sections, and selects the distribution target section from among the plurality of sections based on the effect of the content distribution. 12. The information processing system described in 12.
14. Further comprising: a performance information acquisition unit configured to acquire performance information regarding the effectiveness of content distribution through the distribution system, the performance information being able to determine the distribution effectiveness for each section;
    The information processing system according to claim 12 or 13, wherein the selection unit selects the distribution target section from among the plurality of sections based on the performance information.
15. The distribution system is a plurality of distribution systems,
    The performance information acquisition unit acquires, for each of the plurality of distribution systems, the performance information regarding the effectiveness of content distribution through the corresponding distribution system,
    The selection unit further selects a distribution system to which a distribution request is made from among the plurality of distribution systems for each division corresponding to the distribution target division based on the performance information,
    The distribution requesting unit is configured to send, for each division corresponding to the distribution target division, a request to the selected distribution system of the distribution request destination for a group of entities associated with the corresponding division among the distribution target entity group. The information processing system according to claim 14, wherein the information processing system requests distribution of the content so that the distribution of the content is executed.
16. The distribution system is a plurality of distribution systems,
    The information processing system is configured to acquire, with respect to each of the plurality of distribution systems, performance information regarding the effectiveness of content distribution through the corresponding distribution system, which is capable of determining the distribution effectiveness for each section. further includes a performance information acquisition unit,
    The selection unit further selects a distribution system to which a distribution request is made from among the plurality of distribution systems for each division corresponding to the distribution target division based on the performance information,
    The distribution requesting unit is configured to send, for each division corresponding to the distribution target division, a request to the selected distribution system of the distribution request destination for a group of entities associated with the corresponding division among the distribution target entity group. The information processing system according to claim 12 or 13, wherein the information processing system requests distribution of the content so that the distribution of the content is executed.
17. Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. a partition information storage unit configured to store;
    With respect to a plurality of entities, a target information acquisition unit configured to acquire a second feature amount of each of the plurality of entities, the second feature amount being related to the feature described in the partition information. and,
    By mapping the plurality of entities to the feature space based on the partition information and the second feature amount, a group of partitions on the feature space to which the plurality of entities are associated is determined as a group of target partitions. A discriminator configured as follows;
    a selection unit configured to select one or more sections from the group of target sections as distribution target sections;
    an entity information storage unit configured to store, for each of the sections of the feature space, entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each of the entities; ,
    a distribution request unit configured to request the distribution system to distribute the content;
    Equipped with
    The distribution requesting unit is configured to request the distribution by specifying a group of identifiers including the identifiers of the entities associated with the distribution target partition determined from the entity information to the distribution system as a distribution destination of the content. An information processing system that requests the distribution system to distribute the content such that the system distributes the content to a group of entities associated with the distribution target partition.
18. The selecting unit determines the effect of content distribution through the distribution system for each of the target sections, and selects the distribution target section from the group of target sections based on the effect of the content distribution. 17. The information processing system described in 17.
19. comprising a performance information acquisition unit configured to acquire performance information regarding the effectiveness of content distribution through the distribution system, the performance information being able to determine the distribution effectiveness for each section;
    The information according to claim 17 or 18, wherein the selection unit selects the distribution target section from the group of target sections based on the distribution effect of each of the target sections determined from the performance information. processing system.
20. the entity is a person;
    The identifier used to specify the distribution destination is an identifier for the distribution system of the distribution request destination to distribute the content to an information terminal of a corresponding entity. information processing system.
21. The information processing system according to claim 20, wherein the identifier includes at least one of an advertising ID, a cookie ID, and an email address.
22. An information processing method performed by a computer, the method comprising:
    Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. Obtaining the partition information from a storage device for storing it;
    obtaining a second feature related to the entity of interest, the second feature being related to the feature explained by the partition information;
    determining a section on the feature space to which the entity of interest is associated as a target section by mapping the entity of interest to the feature space based on the section information and the second feature amount; ,
    acquiring the definition information from a storage device that stores definition information that defines distribution conditions for the distribution system for each of the sections of the feature space;
    requesting the distribution system to distribute content according to the definition information;
    including;
    The information processing method includes requesting the distribution system to perform distribution according to the distribution conditions defined for the target partition.
23. An information processing method performed by a computer, the method comprising:
    Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. Obtaining the partition information from a storage device for storing it;
    obtaining a second feature related to the entity of interest, the second feature being related to the feature explained by the partition information;
    determining a section on the feature space to which the entity of interest is associated as a target section by mapping the entity of interest to the feature space based on the section information and the second feature amount; ,
    For each of the sections of the feature space, the entity information is acquired from a storage device that stores entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each of the entities. And,
    requesting a delivery system to deliver content;
    including;
    The requesting includes specifying to the distribution system a group of identifiers including the identifiers of the entities related to the target partition determined from the entity information as the distribution destination of the content. requesting the distribution system to distribute the content so that the content is distributed to a group of entities associated with the target partition.
24. An information processing method performed by a computer, the method comprising:
    Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. Obtaining the partition information from a storage device for storing it;
    Selecting one or more sections from the plurality of sections as distribution target sections;
    With respect to a plurality of entities, obtaining, for each entity, a second feature amount related to the feature described in the partition information;
    determining a group of entities associated with the distribution target partition as a distribution target entity group by mapping the plurality of entities to the feature space based on the partition information and the second feature amount;
    requesting a delivery system to deliver content;
    including;
    The request includes specifying, to the distribution system, an identifier of each entity constituting the distribution target entity group as a distribution destination of the content, so that the content is distributed to the distribution target entity group. The information processing method includes requesting the distribution system to distribute the content.
25. An information processing method performed by a computer, the method comprising:
    Regarding a plurality of partitions defined by subdividing the feature space corresponding to the first feature set, for each partition, partition information that describes the characteristics of the set of entities that have the first feature of the corresponding partition. Obtaining the partition information from a storage device for storing it;
    With respect to a plurality of entities, obtaining a second feature amount of each of the plurality of entities, the second feature amount being related to the feature described in the partition information;
    By mapping the plurality of entities to the feature space based on the partition information and the second feature amount, a group of partitions on the feature space to which the plurality of entities are associated is determined as a group of target partitions. And,
    Selecting one or more sections from the group of target sections as distribution target sections;
    For each of the sections of the feature space, the entity information is acquired from a storage device that stores entity information that describes a group of entities related to the corresponding section using identifiers individually assigned to each of the entities. And,
    requesting a delivery system to deliver content;
    including;
    The requesting includes specifying a group of identifiers including the identifiers of the respective entities related to the distribution target partition determined from the entity information to the distribution system as the distribution destination of the content, so that the distribution An information processing method comprising requesting the distribution system to distribute the content so that the system distributes the content to a group of entities associated with the distribution target partition.
26. A computer-readable recording medium that stores a computer program containing instructions for causing a computer to execute the information processing method according to any one of claims 22 to 25 when executed by a computer.

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