JP2018045382A - Determination system, determination method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately determine an apparatus to which a content is presented or recommended.SOLUTION: A determination system 10 comprises a supply content designation unit (regular program designation unit 22, competing program designation unit 32), an attribute designation unit 38, a narrow-down unit 40, a totalization unit 42, and a result output unit 44. The supply content designation unit accepts designation of a supply content to be presented or recommended to an apparatus. The attribute designation unit 38 accepts designation of a target attribute that indicates the attribute of the apparatus. The narrow-down unit 40 narrows down, on the basis of the target attribute, a candidate list that indicates a plurality of apparatuses that are candidates to which the supply content should be presented or recommended, and thereby generates a list of supply destinations that indicates apparatuses to which the supply content is presented or recommended. The totalization unit 42 totalizes for each attribute the apparatuses indicated in the list of supply destinations. The result output unit 44 output a totalization result per attribute of apparatuses indicated in the list of supply destinations.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to a determination system, a determination method, and a program.

  For example, a technique for recommending a television broadcast program or the like to a device used by a viewer or providing a moving image of a sample of a television broadcast program is known. There are also known techniques for recommending content to be transmitted by video on demand or live network distribution, and providing sample moving images.

  The content provider may have a viewer image that the user wants to provide or recommend content. In this case, a viewer who satisfies the request of the content provider is selected, and the content may be provided or recommended to a device used by the viewer. However, if all viewers who satisfy the content provider's request are selected, the cost for providing or recommending the content may increase. Further, even if the content is provided or recommended, there is a possibility that the content is not viewed due to circumstances on the viewer side.

  Therefore, when providing or recommending content, it is desirable that the content provider can appropriately determine a device that provides or recommends content, taking into account the needs of the viewer, the circumstances of the viewer, costs, and the like.

JP2015-154195A JP2015-135598A

  The problem to be solved by the invention is to appropriately determine a device that provides or recommends content.

  The determination system according to the embodiment includes a provided content specifying unit, an attribute specifying unit, a narrowing unit, a totaling unit, and a result output unit. The provided content designation unit accepts designation of provided content to be provided or recommended for a device. The attribute designation unit accepts designation of a target attribute indicating an attribute of the device. The narrowing-down unit narrows down a candidate list indicating a plurality of devices that are candidates for providing or recommending the provided content based on the target attribute, thereby providing a destination list indicating devices that provide or recommend the provided content Is generated. The said totaling part totals the apparatus shown by the said providing destination list for every attribute. The result output unit outputs a count result for each attribute of the device indicated in the provision destination list.

The figure which shows the function structure of the determination system which concerns on 1st Embodiment. The flowchart which shows the flow of a process of a determination system. The flowchart which shows the flow of the process which designates an object back program. The flowchart which shows the flow of an estimation process. The flowchart which shows the flow of the process which produces | generates a provision destination list. The flowchart which shows the flow of the process which produces | generates a reference list. The flowchart which shows the flow of a total process. The flowchart which shows the flow of the total process about a non-providing apparatus. The figure which shows an example of a user interface image. The figure which shows an example of a result output image. The figure which shows the function structure of the determination system which concerns on 2nd Embodiment. The flowchart which shows the registration process to a provision log | history table. The flowchart which shows the update process to a provision history table. The figure which shows the hardware constitutions of information processing apparatus.

  Hereinafter, the determination system 10 according to the embodiment will be described in detail with reference to the drawings. The determination system 10 is intended to appropriately determine a device that provides or recommends content.

  The content may be, for example, a television broadcast program, a radio broadcast program, video on demand, or a moving image that is distributed live on a network. In addition, the content may be a moving image for the purpose of advertisement, distributed in accordance with such broadcasting or distribution, or distributed to a dedicated device such as digital signage. Further, the content is not limited to a moving image, but may be a still image, sound, or text.

  In the embodiment, the content is a television broadcast program. The determination system 10 determines a device that provides or recommends a television broadcast program.

  The device is a device for a user to view content. For example, if the content is a television broadcast program, the device may be, for example, a television receiver. In addition, the device may be a computer, a smartphone, a tablet, a mobile terminal device, or the like that has activated an application for receiving a television broadcast.

  Also, providing or recommending a program to a device means transmitting television program advertisement data to the device, sending an e-mail to another computer or the like used by a user who uses the device, Postcards or novelty products that advertise the product are mailed to the user who uses the device. In addition, providing or recommending a program to a device means providing a sample moving image of a program to be broadcast to the device, or broadcasting a part of times (for example, the first time) if the program is broadcast multiple times. Including making viewing fees free of charge.

  In the present embodiment, the front program is a television broadcast program that the content provider wants to provide or recommend to the user. A front program is an example of content (provided content) that a content provider wants to provide or recommend to a user.

  In the present embodiment, the back program is a program of another television broadcast that is broadcast in a time zone at least partially overlapping with the front program. The back program is an example of content (competing content) that can be another option for the provided content. In the case of providing or recommending content such as video on demand or network live distribution, the competing content is content of the same genre as the provided content, for example.

(First embodiment)
FIG. 1 is a diagram illustrating a functional configuration of a determination system 10 according to the first embodiment. The determination system 10 includes a front program designation unit 22 (provided content designation unit), a viewing history storage unit 24, a candidate list generation unit 26, a program table storage unit 28 (content table storage unit), and a back program list generation unit. 30 (competitive content list generation unit), back program designation unit 32 (competitive content designation unit), estimation unit 34, device attribute storage unit 36, attribute designation unit 38, narrowing unit 40, and totaling unit 42 And a result output unit 44.

  The determination system 10 is realized by an information processing apparatus such as a computer or a server apparatus executing a program, so that the information processing apparatus functions as each unit illustrated in FIG. The determination system 10 may be realized by one information processing device or may be realized by two or more information processing devices operating in cooperation.

  Further, the determination system 10 may not include the viewing history storage unit 24, the program guide storage unit 28, and the device attribute storage unit 36. In this case, the viewing history storage unit 24, the program guide storage unit 28, and the device attribute storage unit 36 are realized by other devices such as a server on a network. Then, the determination system 10 acquires necessary information from the viewing history storage unit 24, the program guide storage unit 28, and the device attribute storage unit 36 via the network.

  The front program designation unit 22 receives designation of a front program to be provided or recommended to the device. Further, the front program designation unit 22 may accept designation of the number of devices to be extracted as candidates. For example, the front program specifying unit 22 displays a user interface for allowing the operator of the determination system 10 to specify a front program. And the front program designation | designated part 22 may receive designation | designated of a front program via the displayed user interface. An example of a user interface for allowing the operator to specify a front program will be further described with reference to FIG.

  The viewing history storage unit 24 stores the history of programs viewed in the past for each device. For example, the viewing history storage unit 24 stores the names of past viewed programs and the like for each device. Furthermore, the viewing history storage unit 24 may also store program attributes (for example, time zone, genre, performer, etc.) of programs broadcast in the past.

  When a front program is designated, the candidate list generation unit 26 generates a candidate list indicating a plurality of devices that are candidates for providing or recommending the front program. For example, the candidate list generation unit 26 generates a set of device IDs for identifying devices as a candidate list.

  The candidate list may indicate, for example, all devices that can provide or recommend a program. The candidate list may indicate a plurality of devices extracted based on a predetermined standard from all devices that can provide or recommend a program.

  For example, the candidate list generation unit 26 may extract a device used by a user who is likely to be interested in a table program from the viewing history stored in the viewing history storage unit 24 to generate a candidate list. For example, the candidate list generation unit 26 uses general collaborative filtering from the viewing history to generate a ranking of devices that are viewing many other programs whose program attributes are similar to the front program. Then, the candidate list generation unit 26 extracts a predetermined number of devices from the top of the ranking.

  In addition, the candidate list generation unit 26 may extract a device used by a user who is likely to be interested in a table program, for example, by classifying it, instead of generating a ranking. In addition, when the number of devices is specified by the operator, the candidate list generation unit 26 extracts devices equal to or less than the specified number of devices.

  The program table storage unit 28 stores information related to a program name, a time zone, and a channel regarding a program to be broadcast in the future.

  When the front program is designated, the back program list generation unit 30 generates a back program list indicating the back program for the designated front program. For example, the back program list generation unit 30 refers to the program table storage unit 28 and acquires another program in which at least a part of the front program overlaps with the broadcast time zone. And the back program list production | generation part 30 produces | generates a back program list by making the acquired other program into a back program.

  The back program designation unit 32 accepts designation of the target back program (target competitive content) from the back programs for the front program. For example, the back program designation unit 32 receives the back program list from the back program list generation unit 30 and accepts designation of any target back program from the received back program list.

  The target back program is information used to narrow down a device that provides or recommends a front program from a plurality of devices. For example, the target back program is used to exclude, from a plurality of devices shown in the candidate list, a device that is more suitable for the target back program than the front program as a program to be provided or recommended. Further, for example, the target back program may be used to extract, from among a plurality of devices shown in the candidate list, a device that is more suitable for the target back program than the front program as a program to be provided or recommended. Good.

  The back program specifying unit 32 displays, for example, a user interface for allowing the operator to specify the target back program. And the back program designation | designated part 32 receives designation | designated of a target back program via the displayed user interface. Note that the back program designation unit 32 may not designate the target back program. The process of specifying the target back program by the back program specifying unit 32 will be further described with reference to FIG. An example of a user interface for allowing the operator to specify the target back program will be further described with reference to FIG.

  The estimation unit 34 estimates, for each device shown in the candidate list, whether the target back program is more suitable than the front program as a program to be provided or recommended for the device. Then, the estimation unit 34 gives the narrowing-down unit 40 the estimation results for each device shown in the candidate list.

  In the present embodiment, the estimation unit 34 performs an estimation process for each back program shown in the back program list regardless of the designation of the target back program. That is, for each back program shown in the back program list, the estimation unit 34 determines whether the back program is more suitable than the front program as a program to be provided or recommended to the device. Estimate for equipment. Then, the estimation unit 34 provides the narrowing unit 40 with estimation results for each device shown in the candidate list for each back program shown in the back program list.

  For example, the estimation unit 34 reads the viewing history of each device indicated in the candidate list from the viewing history storage unit 24. Then, the estimation unit 34 may estimate whether the back program is more suitable than the front program as a program to be provided or recommended for the devices shown in the candidate list based on the read viewing history.

  For example, the estimation unit 34 uses general collaborative filtering from the viewing history of the target device to generate a program ranking that is likely to be interesting among a group of programs including a front program and a plurality of back programs. . Then, the estimation unit 34 may determine that a program with a higher ranking is more suitable for provision or recommendation. Note that the estimation unit 34 is not limited to such a method. For example, the estimation unit 34 may compare the device attribute with the program attribute and determine that the one with a higher degree of matching is suitable for provision or recommendation. The estimation process by the estimation unit 34 will be further described with reference to FIG.

  The device attribute storage unit 36 stores device attributes for all devices that can provide or recommend a program, for example. The device attributes are, for example, the gender, age, family structure, viewing time zone, and genre preference of the user who uses the device. The device attribute may include other items.

  The device attribute storage unit 36 acquires and stores the attributes of each device in advance. For example, the user's gender, age, and family structure may be information based on a questionnaire survey or the like when the device is used for the first time. The viewing time zone and the genre preference may be information estimated from the viewing history. For example, the viewing time zone may be a result of determining that viewing is being performed during a certain time zone when the power-on time of the device is equal to or greater than a certain threshold. The genre preference may be a result of determining that the genre is often viewed when the programs viewed by the device are aggregated for each genre and the number of programs equal to or greater than the threshold is viewed.

  The attribute designation unit 38 accepts designation of a target attribute indicating the attribute of the device. The target attribute is information used to narrow down a device that provides or recommends a table program from a plurality of devices. For example, the target attribute is used to exclude a device that matches the target attribute from a plurality of devices shown in the candidate list. Further, for example, the target attribute may be used to extract a device that matches the target attribute from a plurality of devices indicated in the candidate list.

  For example, the attribute specifying unit 38 displays a user interface for allowing the operator to specify the target attribute. And the attribute designation | designated part 38 receives designation | designated of a target attribute via the displayed user interface. An example of a user interface for allowing the operator to specify the target attribute will be further described with reference to FIG.

  The narrowing down unit 40 narrows down the candidate list based on the target attribute, thereby generating a provision destination list indicating devices that provide or recommend the table program. For example, the narrowing-down unit 40 generates a set of device IDs and the like as a provision destination list. For example, the narrowing-down unit 40 excludes devices that match the target attribute from the candidate list and generates a provision destination list. For example, the narrowing down unit 40 may extract a device that matches the target attribute from the candidate list and generate the provision destination list.

  In addition, when the target back program is designated, the narrowing-down unit 40 narrows down the candidate list based on the estimation result of whether the target back program is more suitable than the front program as a program to be provided to the device. Generate a list. For example, the narrowing-down unit 40 excludes devices that are more suitable for providing or recommending the target back program than the front program from the candidate list, and generates a providing destination list. In addition, for example, the narrowing down unit 40 may extract a device from which the target back program is not more suitable for provision or recommendation than the front program from the candidate list, and generate a provision destination list.

  When both the target attribute and the target back program are specified, the narrowing-down unit 40 narrows down the candidate list based on both the target attribute and the estimation result of whether the target back program is more suitable than the front program. As a result, a provision destination list is generated.

  When both the target attribute and the target back program are designated, the narrowing unit 40 narrows down the candidate list in the first stage with the target attribute, and estimates the result narrowed down in the first stage. May be given to. In this case, the estimation unit 34 estimates whether the target back program is more suitable than the front program for each device indicated in the result of the narrowing down in the first stage. Then, the narrowing-down unit 40 further narrows down the second stage based on the estimation result of whether the target back program is more suitable than the front program with respect to the result narrowed down in the first stage, and provides a list of providing destinations. Generate.

  Further, the narrowing-down unit 40 determines a candidate list for each back program shown in the back program list based on an estimation result of whether each device shown in the candidate list is more suitable for the back program than the front program. A reference list may be generated by narrowing down. The reference list shows a list of provision destinations generated when further narrowing down the back program, and is used as a reference when designating the next target back program.

  The narrowing-down unit 40 may generate a reference list from the candidate list by excluding devices that are more suitable for providing or recommending the back program than the front program. In addition, the narrowing-down unit 40 may generate a reference list by extracting, from the candidate list, devices that are not suitable for providing or recommending the back program from the front program. In addition, the narrowing unit 40 may narrow down in two steps and generate a reference list in the same manner as when generating the provision destination list.

  The process for generating the provision destination list by the narrowing unit 40 will be further described with reference to FIG. The process for generating the reference list by the narrowing-down unit 40 will be further described with reference to FIG.

  The totaling unit 42 totals the devices indicated in the list of destinations for each attribute. For example, the totaling unit 42 calculates the number of devices shown in the provision destination list for each attribute. Furthermore, the totaling unit 42 totals the devices shown in the reference list for each attribute for each back program shown in the back program list. For example, the totaling unit 42 calculates the number of devices shown in the reference list for each attribute for each back program shown in the back program list.

  The counting unit 42 may further perform statistical processing on each counting result. For example, the totaling unit 42 may calculate an average value and a standard deviation value of the number of devices for each attribute. Moreover, the totaling unit 42 may further execute a totaling process from another viewpoint. The counting process by the counting unit 42 will be further described with reference to FIGS. 7 and 8.

  The result output unit 44 outputs the counting result and the statistical processing result for each attribute of the device indicated in the list of the supply destinations. Further, the result output unit 44 outputs the totaling result and the statistical processing result for each device attribute shown in the reference list for each back program shown in the back program list. For example, the result output unit 44 displays an image including the counting result and the statistical processing result. An example of the image including the counting result and the statistical processing result will be further described with reference to FIG.

  FIG. 2 is a flowchart showing a processing flow of the determination system 10. The decision system 10 executes processing in the flow shown in FIG.

  First, in S111, the front program designating unit 22 accepts designation of a front program. Further, the front program designation unit 22 may accept designation of the number of devices to be extracted as candidates.

  Subsequently, in S112, the candidate list generating unit 26 generates a candidate list indicating a plurality of devices that are candidates for providing or recommending a table program. Subsequently, in S113, the back program list generation unit 30 generates a back program list indicating the back programs for the front program.

  Subsequently, in S114, the estimation unit 34 estimates whether the back program is more suitable than the front program as a program to be provided or recommended to the device. The estimation unit 34 performs this estimation process for each back program shown in the back program list and each set of devices shown in the candidate list. And the estimation part 34 hold | maintains the estimation result with respect to each apparatus shown by a candidate list about each back program shown by the back program list.

  Subsequently, in S115, the totaling unit 42 totals the devices indicated in the candidate list for each attribute. For example, the totaling unit 42 calculates the number of devices indicated in the candidate list for each attribute. The counting unit 42 may further perform statistical processing on the counting result. Subsequently, in S116, the result output unit 44 outputs the counting result and the result of the statistical processing.

  Subsequently, in S117, the determination system 10 inquires of the operator whether or not the table program may be provided or recommended for the device indicated in the current aggregation result. When an operation is performed that the table program may be provided or recommended for the device indicated in the current aggregation result (Yes in S117), the determination system 10 selects the device indicated in the current aggregation result. The provided destination list is generated and this flow is finished.

  In the case where an operation indicating that the table program should not be provided or recommended for the device indicated in the current aggregation result is performed (No in S117), the determination system 10 advances the process to S118.

  In S118, the attribute designation unit 38 accepts designation of a target attribute indicating the attribute of the device. Subsequently, in S119, the back program designation unit 32 accepts designation of any target back program from the back program list. In S119, the back program designating unit 32 may not accept the target back program.

  Subsequently, in S120, the narrowing-down unit 40 generates the providing destination list by narrowing down the candidate list based on both the target attribute and the estimation result of whether the target back program is more suitable than the front program. In addition, when the target back program is not designated, the narrowing down part 40 produces | generates a provision destination list by narrowing down a candidate list based on a target attribute.

  Further, in S120, for each back program shown in the back program list, the narrowing unit 40 estimates whether the back program is more suitable than the target attribute and the front program for each device shown in the candidate list. A reference list may be generated by narrowing down the candidate list based on the result.

  Subsequently, in S121, the totaling unit 42 totals the devices indicated in the provision destination list for each attribute. For example, the totaling unit 42 calculates the number of devices shown in the provision destination list for each attribute. Furthermore, the totaling unit 42 may total the devices shown in the reference list for each attribute for each back program shown in the back program list. For example, the totaling unit 42 may calculate the number of devices indicated in the reference list for each attribute for each back program shown in the back program list. Moreover, the totaling unit 42 may further perform statistical processing on each totaling result.

  Subsequently, in S122, the result output unit 44 outputs a count result and a statistical processing result for each attribute of the device indicated in the list of destinations. Further, the result output unit 44 outputs a totaling result for each device attribute indicated in the reference list and a result of statistical processing for each back program shown in the back program list.

  Subsequently, in S123, the determination system 10 inquires of the operator whether or not the table program may be provided or recommended for the device indicated in the current aggregation result. When an operation is performed that a table program may be provided or recommended for the device indicated in the current count result (Yes in S123), the determination system 10 ends this flow. When an operation is performed that the table program is not provided or recommended for the device indicated in the current counting result (No in S123), the determination system 10 returns the process to S118 and repeats the process.

  Then, the determination system 10 transmits the provision destination list and the table program obtained by executing the above flow to a device that performs processing for providing or recommending the table program. Thereby, the front program is provided or recommended to the device determined by the determination system 10.

  In the above flow, the determination system 10 once outputs the aggregation result before receiving the designation of the target attribute and the target back program (S116). Instead of this, the determination system 10 may advance the process to S118 without executing the processes of S115, S116, and S117 after S114. Further, when an operation is made that the table program is not provided or recommended for the device indicated in the current aggregation result (No in S123), the determination system 10 returns the process to S111 and displays the table. The processing may be repeated from the designation of the program.

  FIG. 3 is a flowchart showing a flow of processing for designating the target back program. The back program designating unit 32 executes processing in the flow shown in FIG.

  First, in S131, the back program designating unit 32 acquires a back program list. Subsequently, in S132, the back program designating unit 32 generates a user interface for designating the target back program from the back programs shown in the back program list. For example, the back program designating unit 32 generates a user interface that allows a back program to be selected with a selection button.

  Subsequently, in S133, the back program designating unit 32 determines whether or not the back program list has been updated. When the back program list is updated (Yes in S133), the back program designating unit 32 returns the process to S131 and repeats the process from S131. If the back program list has not been updated (No in S133), the back program designating unit 32 advances the process to S134.

  In S134, the back program designation unit 32 determines whether or not the target back program has been designated. When the target back program is not specified (No in S134), the back program specifying unit 32 returns the process to S133, and until S133 and S134 are updated until the target back program is specified or the back program list is updated. Repeat the process. When the target back program is specified (Yes in S134), the back program specifying unit 32 advances the process to S135.

  In S135, the back program designating unit 32 registers the selected target back program in a table, for example. When S135 ends, the back program designating unit 32 ends this flow. Through the above processing, the back program designation unit 32 can accept the designation of the target back program from the back programs for the front program. The back program designating unit 32 may accept the designation of the target back program using a form that directly inputs text, instead of generating a user interface that allows the back program to be selected with a selection button.

  FIG. 4 is a flowchart showing the flow of the estimation process. The estimation unit 34 performs the estimation process according to the flow shown in FIG.

  First, in S <b> 141, the estimation unit 34 acquires a candidate list from the candidate list generation unit 26. Subsequently, in S142, the estimation unit 34 acquires a back program list.

  Subsequently, in S143, the estimation unit 34 selects one device to be processed from the candidate list. Subsequently, in S144, the estimation unit 34 selects one back program to be processed from the back program list.

  Subsequently, in S145, the estimation unit 34 estimates whether the selected back program is more suitable than the front program as the program to be provided or recommended for the processing target device. Subsequently, in S146, the estimation unit 34 registers a set of the selected device, the selected back program, and the estimation result in the estimation result table.

  Subsequently, in S147, the estimation unit 34 determines whether or not the estimation for the selected device has been completed for all the back programs. If estimation has not been completed for any back program (No in S147), the estimation unit 34 returns the process to S144, selects the next back program as a processing target, and repeats the processing from S144. When the estimation is completed for all the back programs (Yes in S147), the estimation unit 34 advances the process to S148.

  In S148, the estimation unit 34 determines whether estimation has been completed for all devices. If the estimation has not been completed for any device (No in S148), the estimation unit 34 returns the process to S143, selects the next device as a processing target, and repeats the processing from S143. When the estimation is completed for all the devices (Yes in S148), the estimation unit 34 ends this flow.

  Through the above processing, the estimation unit 34 provides a program to be provided or recommended to the device for all combinations of each device shown in the candidate list and each back program shown in the back program list. It can be estimated whether the program is more suitable. In addition, when the target attribute is designated by the attribute designation unit 38, the estimation unit 34 may perform an estimation process on each device after the candidate list is narrowed down by the target attribute.

  FIG. 5 is a flowchart showing a flow of processing for generating a provision destination list. The narrowing-down unit 40 generates a provision destination list in the flow shown in FIG.

  First, in S151, the narrowing-down unit 40 acquires a candidate list. Subsequently, in S152, the narrowing unit 40 acquires a target attribute which is a narrowing determination condition.

  Subsequently, in S153, the narrowing unit 40 selects one device to be narrowed down from the candidate list. Subsequently, in S154, the narrowing-down unit 40 acquires the attribute of the device to be determined from the device attribute storage unit 36.

  Subsequently, in S155, the narrowing down unit 40 determines whether or not the attribute of the determination target device matches the target attribute. When the attribute of the determination target device matches the target attribute (Yes in S155), the narrowing unit 40 advances the process to S156. In S156, the narrowing-down unit 40 excludes the device to be determined from the provision destination list. That is, the narrowing-down unit 40 removes devices that match the target attribute from devices that should provide or recommend a table program. The narrowing-down part 40 will advance a process to S164, after finishing S156.

  When the attribute of the determination target device does not match the target attribute (No in S155), the narrowing down unit 40 advances the process to S157. In S157, the narrowing down unit 40 determines whether the target back program is designated. When the target back program is not designated (No in S157), the narrowing down unit 40 advances the process to S163. When the target back program is designated (Yes in S157), the narrowing unit 40 advances the process to S158.

  In S158, the narrowing down unit 40 acquires the target back program that is the narrowing determination condition. Subsequently, in S159, the narrowing unit 40 selects one target back program to be narrowed down.

  Subsequently, in S160, the narrowing-down unit 40 obtains an estimation result as to whether the target back program to be judged is more suitable than the front program as the program to be provided or recommended for the device selected as the narrowing judgment target. Obtained from the estimation unit 34.

  Subsequently, in S161, the narrowing-down unit 40 determines whether or not the front program is more suitable as a program to be provided or recommended based on the acquired estimation result.

  If the front program is not suitable (No in S161), that is, if the target back program is more suitable, the narrowing-down unit 40 advances the process to S156. In S156, the narrowing-down unit 40 excludes the device to be determined from the provision destination list. That is, the narrowing-down unit 40 removes the estimated equipment that is more suitable for the target back program than the front program as the program to be provided or recommended from the equipment that should provide or recommend the front program. The narrowing-down part 40 will advance a process to S164, after finishing S156.

  If the front program is more suitable (Yes in S161), the narrowing unit 40 advances the process to S162. In S162, the narrowing down unit 40 determines whether or not the determination has been completed for all target back programs. When the determination is not completed for any target back program (No in S162), the narrowing-down unit 40 returns the process to S159, selects the next target back program as a determination target, and performs the processing from S159. repeat. When the determination is completed for all target back programs (Yes in S162), the narrowing unit 40 advances the process to S163.

  In S163, the narrowing down unit 40 registers the device to be determined in the provision destination table. When S163 is completed, the narrowing down unit 40 advances the process to S164.

  In S164, the narrowing down unit 40 determines whether or not the determination has been completed for all devices. If the determination has not been completed for any device (No in S164), the narrowing-down unit 40 returns the process to S153, selects the next device as a processing target, and repeats the processing from S153. When the determination is completed for all the devices (Yes in S164), the narrowing unit 40 ends this flow.

  Through the above processing, the narrowing-down unit 40 can generate a provision destination list indicating devices that provide or recommend a table program on the provision destination table.

  In the above flow, in S155, when the attribute of the determination target device matches the target attribute, the narrowing unit 40 proceeds with the process to S156 and excludes the determination target device from the provision destination list. Yes. That is, in the above flow, the narrowing-down unit 40 removes devices that match the target attribute from devices that should provide or recommend a table program. However, when the attribute of the device to be determined does not match the target attribute, the narrowing unit 40 may advance the process to S156 to exclude the device to be determined from being included in the list of destinations. That is, the narrowing-down unit 40 may remove devices that do not match the target attribute from devices that should provide or recommend a front program.

  FIG. 6 is a flowchart showing a flow of processing for generating a reference list. The narrowing-down unit 40 generates a reference list for each back program shown in the back program list in the flow shown in FIG.

  First, in S171, the narrowing-down unit 40 acquires a candidate list. Subsequently, in S172, the narrowing unit 40 acquires a target attribute which is a narrowing determination condition.

  Subsequently, in S173, the narrowing-down unit 40 acquires a back program list. Subsequently, in S174, the narrowing-down unit 40 selects one back program to be narrowed down from the back program list. Subsequently, in S175, the narrowing unit 40 selects one device to be narrowed down from the candidate list.

  Subsequently, in S <b> 176, the narrowing-down unit 40 acquires the attribute of the determination target device from the device attribute storage unit 36. Subsequently, in S177, the narrowing down unit 40 determines whether or not the attribute of the determination target device matches the target attribute. When the attribute of the determination target device matches the target attribute (Yes in S177), the narrowing unit 40 advances the process to S178. In S178, the narrowing down unit 40 excludes the determination target device from the reference list. In S177, when the attribute of the determination target device does not match the target attribute, the narrowing unit 40 may advance the process to S178 and exclude the determination target device from the reference list. After the completion of S178, the narrowing-down unit 40 advances the process to S182.

  When the attribute of the determination target device does not match the target attribute (No in S177), the narrowing-down unit 40 advances the process to S179.

  Subsequently, in S179, the narrowing unit 40 obtains an estimation result as to whether the target back program to be determined is more suitable than the front program as the program to be provided or recommended for the device selected as the target to be narrowed. Obtained from the estimation unit 34.

  Subsequently, in S180, the narrowing-down unit 40 determines whether or not the front program is more suitable as a program to be provided or recommended based on the acquired estimation result.

  If the front program is more suitable (Yes in S180), that is, if the back program is not suitable, the narrowing unit 40 advances the process to S178. In S178, the narrowing down unit 40 excludes the determination target device from the reference list. After the completion of S178, the narrowing-down unit 40 advances the process to S182.

  If the front program is not suitable (No in S180), the narrowing-down unit 40 advances the process to S181. In S181, the narrowing down unit 40 registers a set of the selected back program and the device to be determined in the reference table. When S181 is completed, the narrowing unit 40 advances the process to S182.

  In S182, the narrowing down unit 40 determines whether or not the determination has been completed for all devices. If the determination has not been completed for any device (No in S182), the narrowing-down unit 40 returns the process to S175, selects the next device as a processing target, and repeats the processing from S175. When the determination is completed for all the devices (Yes in S182), the narrowing unit 40 advances the process to S183.

  In S183, the narrowing down unit 40 determines whether or not the determination has been completed for all the back programs. When the determination is not completed for any back program (No in S183), the narrowing-down unit 40 returns the process to S174, selects the next back program as a determination target, and repeats the processes from S174. When the determination is completed for all the back programs (Yes in S183), the narrowing unit 40 ends this flow.

  Through the above processing, the narrowing down unit 40 can generate a reference list for each back program shown in the back program list on the reference table. Thereby, the narrowing-down unit 40 can generate a list of provision destinations generated when further narrowing down the back program, and can be used as a reference when designating the next target back program.

  FIG. 7 is a flowchart showing the flow of the counting process. The counting unit 42 executes the counting process in the flow shown in FIG.

  First, in S191, the totaling unit 42 reads out devices registered in the provision destination table, and acquires a provision destination list. Subsequently, in S192, the totaling unit 42 totals the number of devices indicated in the provision destination list.

  Subsequently, in S193, the totaling unit 42 totals the number of devices indicated in the providing destination list for each device attribute. For example, the totaling unit 42 totals the number of devices for each gender, age, family structure, viewing time zone, and genre preference of users who use the devices. Furthermore, the totaling unit 42 may perform statistical processing such as an average value or a standard deviation value for each attribute.

  Subsequently, in S194, the counting unit 42 selects one back program to be counted from the back program list. Subsequently, in S195, among the devices registered in the reference table, the devices registered as a set with the back program to be counted are read, and a reference list for the back program to be counted is acquired.

  Subsequently, in S196, the totaling unit 42 totals the number of devices shown in the reference list. Subsequently, in S197, the totaling unit 42 totals the number of devices shown in the reference list for each device attribute. Furthermore, the totaling unit 42 may execute statistical processing such as an average value or a standard deviation value for each attribute for the devices shown in the reference list.

  Subsequently, in S198, the totaling unit 42 determines whether the totalization has been completed for all the back programs. When the totaling of any back program has not been completed (No in S198), the totaling unit 42 returns the process to S194, selects the next back program as a target to be totaled, and repeats the processing from S194. When totaling is completed for all back programs (Yes in S198), the totaling unit 42 ends this flow.

  Through the above processing, the totaling unit 42 can total the devices shown in the provision destination list for each attribute. Further, the totaling unit 42 can total the devices shown in the reference list for each attribute for each back program shown in the back program list.

  FIG. 8 is a flowchart showing the flow of the aggregation process for the non-providing device. In addition to the process of FIG. 7, the aggregation unit 42 may execute the aggregation process for the non-providing device by the process illustrated in FIG. 8. When the result output unit 44 at the subsequent stage does not output the total result for the non-provided device, the total unit 42 does not have to execute the process illustrated in FIG.

  First, in S201, the totaling unit 42 determines whether or not the target back program is designated. When the target back program is not designated (No in S201), the counting unit 42 ends without executing this flow. When the target back program is designated (Yes in S201), the counting unit 42 advances the process to S202.

  In S202, the totaling unit 42 selects one target back program to be totaled. Subsequently, in S203, the counting unit 42 generates a list of devices (non-provided device list) in which the target back program selected from the front program is more suitable for provision or recommendation. Subsequently, in S204, the totaling unit 42 totals the number of devices shown in the non-provided device list.

  Subsequently, in S205, the totaling unit 42 totals the number of devices shown in the non-provided device list for each device attribute. Furthermore, the totaling unit 42 may execute statistical processing such as an average value or a standard deviation value for each attribute for the devices shown in the non-provided device list.

  Subsequently, in S206, the tally unit 42 determines whether or not tally is completed for all target back programs. When the aggregation has not been completed for any target back program (No in S206), the totaling unit 42 returns the process to S202, selects the next target back program as the total target, and repeats the processing from S202. . When totaling is completed for all target back programs (Yes in S206), the totaling unit 42 ends this flow.

  FIG. 9 is a diagram illustrating an example of a user interface image 210 for accepting designation of a front program, a target back program, and a target attribute. For example, the determination system 10 displays a user interface image 210 as shown in FIG. 9 and accepts designation of a front program, a target back program, and a target attribute.

  For example, the user interface image 210 includes a front program designation area 212, a back program designation area 214, and an attribute designation area 216. The front program designation unit 22 displays a user interface for designating a front program and the number of devices in the front program designation area 212 and accepts designation of the front program and the number of devices. Further, the back program designating unit 32 displays a selection box for designating the back program shown in the back program list in the back program designating area 214, and accepts designation of the target back program.

  In addition, the attribute designation unit 38 displays a selection box for designating the target attribute in the attribute designation area 216. For example, the attribute designation unit 38 displays a box for selecting a gender (male or female). Further, for example, the attribute designating unit 38 displays a box for selecting the age of the age (for example, 0-19 years, 20-39 years, 40-59 years or 60 years or older). Further, for example, the attribute designating unit 38 displays a box for selecting a family structure (for example, single, married, no children, with children, one household, two households, or others). In addition, for example, the attribute designation unit 38 may be a viewing time zone (for example, 3 to 5 o'clock, 5 to 7 o'clock, 7 o'clock to 9 o'clock, 9 to 11 o'clock, 11 to 13 o'clock, 13 to 15 o'clock, 15 to 17 o'clock. 17 to 19 o'clock, 19 to 21 o'clock, 21 to 23 o'clock, 23 to 25 o'clock, 25 to 27 o'clock) are displayed. Further, for example, the attribute specifying unit 38 displays a box for selecting a genre preference (for example, drama lover, anime lover, variety lover or news enthusiast).

  By using such a user interface image 210, the determination system 10 can allow the operator to specify a front program, a target back program, and a target attribute.

  FIG. 10 is a diagram illustrating an example of the result output image 220. For example, the determination system 10 displays a result output image 220 as shown in FIG. 10 and outputs a total result and a statistical result.

  For example, the result output image 220 includes a device attribute statistics area 222 and a back program information area 224. The result output unit 44 outputs, to the device attribute statistics area 222, the totaling results of the devices indicated in the provision destination list, the totaling results for each attribute of the devices indicated in the provision destination list, and the results of statistical processing.

  For example, the result output unit 44 outputs a count result for each sex (male or female). In addition, for example, the result output unit 44 outputs a count result for each age group (for example, 0 to 19, 20 to 39, 40 to 59, or 60 or more). Further, for example, the result output unit 44 outputs a total result for each family structure (for example, single, married, with children, or two households). Further, for example, the result output unit 44 may be a viewing time zone (for example, 3 to 5 o'clock, 5 to 7 o'clock, 7 o'clock to 9 o'clock, 9 to 11 o'clock, 11 to 13 o'clock, 13 to 15 o'clock, 15 to 17 o'clock. Hour, 17-19, 19-21, 21-23, 23-25, 25-27). Further, for example, the result output unit 44 outputs a total result for each genre preference (for example, drama lover, anime lover, variety lover or news enthusiast).

  In addition, the result output unit 44 displays, in the back program information area 224, the result of counting the devices shown in the reference list for each back program shown in the back program list and the device shown in the reference list. Output the result of aggregation and statistical processing for each attribute. For example, the result output unit 44 switches and outputs the aggregation results for each back program using a user interface based on tab control.

  As described above, according to the determination system 10 according to the present embodiment, it is possible to appropriately determine a device that provides or recommends content. For example, the determination system 10 aggregates and outputs the devices narrowed down based on the designated target attribute for each attribute. Thereby, the determination system 10 can determine an apparatus having an appropriate number and an appropriate characteristic as an apparatus that provides or recommends content. Further, for example, the determination system 10 aggregates and outputs, for each attribute, devices that are narrowed down based on an estimation result of whether the target back program specified from the front program is more appropriate as the content to be provided or recommended. . Thereby, the determination system 10 can determine a device used by a user who is highly likely to view as a device that provides or recommends content.

(Second Embodiment)
The determination system 10 according to the second embodiment has substantially the same function and configuration as the determination system 10 according to the first embodiment. Accordingly, blocks having the same function and configuration are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 11 is a diagram illustrating a functional configuration of the determination system 10 according to the second embodiment. The determination system 10 according to the present embodiment further includes a provision instruction unit 312, a history update unit 314, a provision history storage unit 316, an extraction condition designation unit 318, and an extraction unit 320.

  The provision instructing unit 312 instructs, for example, an external server or the like to provide or recommend a table program to each device shown in the provision destination list. For example, the provision instructing unit 312 gives information for identifying each device shown in the provision destination list and information for specifying the front program to a server or the like, and causes the server or the like to provide or recommend the front program.

  The history update unit 314 acquires the viewing history of each device shown in the provision destination list from the viewing history storage unit 24. Then, the history update unit 314 updates the provision history based on the viewing history of each device indicated in the provision destination list.

  The provision history includes a table program provided or recommended for each device shown in the list of providers, and viewing information indicating whether or not the table program has been viewed. The viewing information may be information indicating whether or not the viewing program has been viewed within a certain period of time after being provided or recommended.

  Furthermore, the provision history may further include an estimation result as to whether the back program is more suitable than the front program for the devices indicated in the provision destination list. Further, the provided history may include program attributes such as genre and performers for the offered or recommended table program.

  The history update unit 314 executes processing for registering a provision history in the provision history table and processing for periodically updating the provision history table. The registration process will be further described with reference to FIG. The process of periodically updating will be further described with reference to FIG.

  The provision history storage unit 316 stores a provision history table. The provision history storage unit 316 may be realized by an external server, for example.

  The extraction condition designation unit 318 accepts designation of conditions for extracting devices. The condition is, for example, a condition for searching for a device from the provided history. For example, the conditions include the genre, performer or time zone of the offered or recommended front program. Further, the conditions may include watching the provided or recommended front program within a certain time, and confirming that the device is more suitable as a program provided or recommended by the back program than the front program. For example, the extraction condition designation unit 318 displays a user interface for allowing the operator to designate a condition, and accepts designation of the condition via the displayed user interface.

  The extraction unit 320 extracts devices that satisfy the conditions specified by the extraction condition specifying unit 318 from the supply history stored in the supply history storage unit 316. Then, the extraction unit 320 generates a result list indicating the extracted devices and gives the result list to the narrowing-down unit 40.

  For example, it is assumed that the extraction condition designating unit 318 is designated as a condition that a predetermined genre is used as the genre of the front program and that viewing is performed within a certain period of time as viewing information. In this case, the extraction unit 320 extracts, from the provided history, devices that have been provided or recommended for a table program of a predetermined genre and that have been viewed within a certain period of time after being provided or recommended. Generate a list.

  In the present embodiment, the narrowing-down unit 40 narrows down the candidate list based on the devices shown in the result list acquired by the extracting unit 320, and generates a new provision destination list. Thereby, the narrowing-down part 40 can utilize the viewing history with respect to the table | surface program provided or recommended in the past in order to determine a new provision destination list.

  FIG. 12 is a flowchart showing the registration process to the provision history table. The history update unit 314 executes the process shown in FIG. 12 every time the provision instructing unit 312 instructs to provide or recommend a table program to each device shown in the provision destination list.

  First, in S331, the history update unit 314 acquires a table program and a list of destinations. The history update unit 314 may acquire information for identifying the front program instead of the main data of the front program.

  Subsequently, in S332, the history update unit 314 selects one device to be registered from the list of provision destinations. Subsequently, in S333, the history update unit 314 registers a set of a device, a program, a date / time, and a viewing flag in the provided history table. The value of the device included in the registered group is information for identifying the device to be registered. The program is information for identifying a front program. The date and time is information indicating the date and time when the table program is provided or recommended. The viewing flag is NULL.

  Subsequently, in S334, the history update unit 314 determines whether registration has been completed for all devices. If registration has not been completed for any device (No in S334), the history update unit 314 returns the processing to S332, selects the next device as a registration target, and repeats the processing from S332. When registration has been completed for all devices (Yes in S334), the history update unit 314 ends this flow.

  FIG. 13 is a flowchart showing an update process to the provision history table. The history update unit 314 periodically executes the process shown in FIG.

  First, in S341, the history update unit 314 acquires a set of devices, programs, date / time, and viewing flag for which viewing flag = NULL from the provided history table, and generates a check target list.

  Subsequently, in S342, the history update unit 314 selects one set of confirmation targets (a set of devices, programs, date / time, and viewing flag) from the confirmation target list.

  Subsequently, in S343, the history update unit 314 determines whether or not the date and time included in the confirmation target group has exceeded a predetermined time. When the predetermined time or more has elapsed (Yes in S343), the history update unit 314 advances the process to S344. In S344, the history update unit 314 updates the viewing flag included in the check target group to FALSE. When the history update unit 314 completes S344, the process proceeds to S348.

  When the predetermined time or more has not elapsed (No in S343), the history update unit 314 advances the process to S345. In S345, the history update unit 314 acquires the viewing history of the devices included in the confirmation target group from the viewing history storage unit 24.

  Subsequently, in S346, the history update unit 314 determines whether the device included in the confirmation target group has viewed the program included in the confirmation target based on the acquired viewing history. When the device included in the confirmation target group does not view the program included in the confirmation target (No in S346), the history update unit 314 advances the process to S348.

  When the device included in the confirmation target group is viewing the program included in the confirmation target (Yes in S346), the history update unit 314 advances the process to S347. In S347, the history update unit 314 updates the viewing flag included in the confirmation target set to TRUE. When the history update unit 314 completes S347, the process proceeds to S348.

  In step S348, the history update unit 314 determines whether confirmation has been completed for all pairs. If confirmation has not been completed for any of the groups (No in S348), the history update unit 314 returns the process to S342, selects the next group as a confirmation target, and repeats the processes from S342. When confirmation has been completed for all the sets (Yes in S348), the history update unit 314 ends this flow.

  As described above, according to the determination system 10 according to the present embodiment, a device that newly provides or recommends content can be determined based on the viewing history of devices that have previously provided or recommended content.

(Hardware configuration)
FIG. 14 is a diagram illustrating an example of a hardware configuration of the information processing apparatus 500 according to the embodiment. The determination system 10 described above can be realized by an information processing apparatus 500 as shown in FIG.

  The information processing apparatus 500 has the same configuration as a normal computer. For example, the information processing apparatus 500 includes a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, a storage unit 504, and an interface unit 505. The CPU 501, ROM 502, RAM 503, storage unit 504, and interface unit 505 are connected by a bus.

  The CPU 501 expands and executes the program stored in the storage unit 504 in the RAM 503, and controls each unit to perform input / output and process data. The ROM 502 stores a start program for reading an operating system startup program from the storage unit 504 to the RAM 503. The RAM 503 stores data as a work area for the CPU 501.

  The storage unit 504 is, for example, a hard disk drive or a flash memory. The storage unit 504 stores an operating system, application programs, and data. These programs are files in an installable or executable format, and are recorded and distributed on a computer-readable recording medium. The program may be distributed by downloading from a server. The interface unit 505 is a device for transmitting / receiving information to / from other devices.

  A program executed by the information processing apparatus 500 according to the present embodiment is a file in an installable format or an executable format and is a computer-readable recording such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD. Provided by being recorded on a medium. Further, the program executed by the information processing apparatus 500 of this embodiment may be configured to be stored by being stored on a computer connected to a network such as the Internet and downloaded via the network. Further, the program executed by the information processing apparatus 500 of the present embodiment may be configured to be provided or distributed via a network such as the Internet. Further, the program of the present embodiment may be configured to be provided by being incorporated in advance in the ROM 502 or the like.

  A program for causing the information processing apparatus 500 to function as the determination system 10 includes a front program specifying module, a candidate list generating module, a back program list generating module, a back program specifying module, an estimation module, an attribute specifying module, A narrowing module, a totaling module, a result output module, a provision instruction module, a history update module, an extraction condition designation module, and an extraction module; In the information processing apparatus 500, each module is loaded onto the main storage device (RAM 503) by a processor (CPU 501) reading a program from a storage medium (such as the storage unit 504) and executing it, and the processor (CPU 501) Specification unit 22, candidate list generation unit 26, back program list generation unit 30, back program specification unit 32, estimation unit 34, attribute specification unit 38, narrowing unit 40, totaling unit 42, result output unit 44, provision instruction unit 312 , Function as a history update unit 314, an extraction condition designation unit 318, and an extraction unit 320. The front program specifying unit 22, the candidate list generating unit 26, the back program list generating unit 30, the back program specifying unit 32, the estimating unit 34, the attribute specifying unit 38, the narrowing unit 40, the counting unit 42, the result output unit 44, The provision instruction unit 312, the history update unit 314, the extraction condition designation unit 318, and the extraction unit 320 may be partially or entirely realized by hardware other than the processor.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 10 Determination system 22 Front program designation | designated part 24 Viewing history memory | storage part 26 Candidate list production | generation part 28 Program table memory | storage part 30 Back program list production | generation part 32 Back program designation part 34 Estimation part 36 Device attribute memory | storage part 38 Attribute designation part 40 Narrowing part 42 Totaling section 44 Result output section 210 User interface image 212 Front program designation area 214 Back program designation area 216 Attribute designation area 220 Result output image 222 Equipment attribute statistics area 224 Back program information area 312 Provision instruction section 314 History update section 316 Provision history Storage unit 318 Extraction condition designation unit 320 Extraction unit

Claims (12)

A provision content specification unit that accepts specification of a provision content to be provided or recommended to a device;
An attribute designation unit that accepts designation of a target attribute indicating the attribute of the device;
Based on the target attribute, a narrowing-down unit that generates a destination list indicating devices that provide or recommend the provided content by narrowing down a candidate list indicating a plurality of devices that are candidates for providing or recommending the provided content When,
A totaling unit that totals the devices shown in the list of destinations for each attribute;
A result output unit that outputs a total result for each attribute of the device indicated in the list of destinations;
A decision system comprising: A competing content designation unit that accepts designation of target competing content from competing content that can be another option for the provided content;
An estimation unit that estimates whether the target competitive content is more suitable than the provided content as the content to be provided or recommended to the device;
Further comprising
The determination system according to claim 1, wherein the narrowing-down unit further generates the provision destination list by further narrowing down the candidate list based on an estimation result of whether the target competitive content is more suitable than the provision content. A competing content list generating unit that generates a competing content list indicating the competing content for the provided content;
The determination system according to claim 2, wherein the competing content designation unit accepts designation of any target competing content from the competing content list. The estimation unit estimates whether or not the competing content is more suitable than the provided content as content to be provided or recommended for the device indicated in the candidate list for the competing content indicated in the competing content list. ,
The narrowing-down unit generates a reference list by narrowing down the candidate list based on an estimation result of whether the competitive content is more suitable than the provided content for the competitive content shown in the competitive content list. ,
The tabulation unit tabulates the devices shown in the reference list for each attribute for the competing content shown in the competing content list,
The determination system according to claim 3, wherein the result output unit outputs a count result for each attribute of the device indicated in the reference list for the competitive content indicated in the competitive content list. The estimation unit estimates whether the competing content is more suitable than the provided content as the content to be provided or recommended for the device indicated in the candidate list based on the viewing history of the device indicated in the candidate list. The determination system according to claim 3 or 4. The determination system according to claim 2, further comprising a candidate list generation unit that generates the candidate list indicating a plurality of devices that are candidates for providing or recommending the provided content. The determination system according to claim 6, wherein the candidate list generation unit generates the candidate list based on a viewing history of content of the device. The provided content is a television broadcast program to be provided or recommended,
8. The competing content is another television broadcast program that is broadcast in a time zone at least partially overlapping with a television broadcast program to be provided or recommended. 8. Decision system. Based on the viewing history of the device shown in the providing destination list, a history updating unit that updates the providing history indicating whether the providing content has been viewed for the device shown in the providing destination list;
An extraction unit that extracts a device that satisfies a specified condition from the devices indicated in the provision history, and generates a result list indicating the extracted device;
Further comprising
The determination system according to any one of claims 2 to 8, wherein the narrowing-down unit narrows down the candidate list based on the devices shown in the result list and generates the new provision destination list. The providing history further includes a result of the estimation as to whether or not the competing content is more suitable than the providing content for each device. The extraction unit is designated from the device indicated in the providing history. The determination system according to claim 9, wherein devices that satisfy the estimation result are extracted to generate the result list. A determination method executed by an information processing apparatus,
The information processing apparatus accepts designation of provision content to be provided or recommended for a device,
The information processing apparatus accepts designation of a target attribute indicating an attribute of a device,
Provided list indicating devices that provide or recommend the provided content by narrowing down a candidate list indicating a plurality of devices that are candidates for providing or recommending the provided content based on the target attribute. Produces
The information processing apparatus aggregates the devices shown in the provider list for each attribute,
The information processing apparatus outputs a count result for each attribute of the device indicated in the list of destinations;
Decision method. A program for causing an information processing apparatus to function as a determination system,
The information processing apparatus;
A provision content specification unit that accepts specification of a provision content to be provided or recommended to a device;
An attribute designation unit that accepts designation of a target attribute indicating the attribute of the device;
Based on the target attribute, a narrowing-down unit that generates a destination list indicating devices that provide or recommend the provided content by narrowing down a candidate list indicating a plurality of devices that are candidates for providing or recommending the provided content When,
A totaling unit that totals the devices shown in the list of destinations for each attribute;
A program that functions as a result output unit that outputs a count result for each attribute of a device indicated in the list of providers.

Images