Overlapping contact analysis method

Abstract

To provide an overlapping contact analysis method that can simply and reliably analyze the overlapping contact of broadcast content and a web service with each other.SOLUTION: An overlapping contact analysis method is a method for, when broadcast content transmission transmitting broadcast content through broadcasting and a web service compared with the broadcast content via a network are provided, analyzing the overlapping contact of the broadcast content and the web service with each other, and the method includes a digital ID attribute table generation step (STEP 10), a television digital attribute-enabled table generation step (STEP 20), a television ID attribute generation step (STEP 30), and a cross device matching table generation step (STEP 40).SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a method for analyzing overlapping contact between broadcast content transmission that transmits broadcast content via broadcasting and a web service that is contrasted with the broadcast content and is provided via a network. [Background technology]

[0002] Conventionally, as shown in Patent Document 1 below, an analysis system of this type is known that acquires device logs from a device log database that stores device logs including the device's IP address, device ID, and usage history, and acquires terminal logs including the IP address, terminal identification information, and usage history of the user's mobile terminal, and associates devices with matching IP addresses and usage histories with the user's mobile terminal, thereby making it possible to grasp device usage status on an individual basis. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2020-64620 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional analysis systems require the user's mobile terminal as a required component, and have a fatal problem in that they cannot associate device log data if the mobile terminal's terminal log is not available.

[0005] In view of the above circumstances, an object of the present invention is to provide a method for analyzing overlapping contacts between broadcast content and web services in a simple and reliable manner. [Means for solving the problem]

[0006] A first aspect of the present invention provides an overlapping contact analysis method for analyzing overlapping contact between a broadcast content transmission system that transmits broadcast content via broadcasting and a web service that is contrasted with the broadcast content and that is provided via a network, the overlapping contact analysis method comprising: a digital ID attribute table generation step of generating a digital ID attribute table in which attributes are assigned to the digital ID for the web service log data identified by the digital ID that identifies the destination of the web service; a television digital attribute correspondence table generation step of generating a television digital attribute correspondence table obtained by matching the digital ID attribute table generated by the digital ID attribute table generation step with television log data identified by a television ID regarding broadcast viewing that has received and viewed the broadcast content transmission, using the digital ID and the television ID; a TV ID attribute table generating step of generating a TV ID attribute table in which attributes are assigned to TV IDs for TV log data identified by TV IDs regarding broadcast viewing that has been received and viewed through the broadcast content transmission; a cross-device matching table generating step of generating a cross-device matching table by integrating the TV ID attribute table generated in the TV ID attribute table generating step and the TV digital attribute correspondence table generated in the TV digital attribute correspondence table generating step with attributes of the TV ID attribute table and the TV digital attribute correspondence table; The present invention is characterized by carrying out the following.

[0007] According to the overlapping contact analysis method of the first invention, first, a digital ID attribute table in which attributes are assigned to digital IDs is generated (digital ID attribute table generation process), and then a television digital attribute correspondence table is generated by matching the generated digital ID attribute table with television log data identified by the television ID and the digital ID (television digital attribute correspondence table generation process).

[0008] Here, the television digital attribute correspondence table is an integration of the television log data and the digital ID attribute table, and the attributes assigned thereto are the attributes assigned to the digital ID.

[0009] Therefore, by generating a TV ID attribute table in which attributes are assigned to TV IDs for the TV log data (TV ID attribute table generation process), attributes are assigned to the TV log data, and a cross-device matching table is generated by matching the attributes of these TV digital attribute correspondence tables and TV ID attribute tables using them as keys, which can be used as an analytical index to easily and reliably compare the usage status of broadcast content and web services.

[0010] In this way, according to the overlapping contact analysis method of the first invention, overlapping contact between broadcast content and web services can be analyzed simply and reliably.

[0011] The overlapping contact analysis method of the second invention is the method of the first invention, The television digital attribute correspondence table generation process is characterized by matching the television ID with the digital ID on the condition that the IP address of the television ID in the television log data is common to the IP address of the digital ID in the digital ID attribute table, and that the timestamps attached to the television log data and the web service log data are within a predetermined period.

[0012] According to the overlapping contact analysis method of the second invention, IP addresses can be changed as appropriate, and by determining the commonality of IP addresses on the condition that the timestamp is within a specified period, it is possible to actually generate a television digital attribute correspondence table.

[0013] In this way, according to the overlapping contact analysis method of the second invention, it is actually possible to easily and reliably analyze overlapping contact between broadcast content and web services.

[0014] The overlapping contact analysis method of the third invention is the method of the first invention, The cross-device matching table generation process includes: The cross-device matching table is generated by integrating the attributes of the TV ID attribute table and the attributes of the TV digital attribute correspondence table, including cases where these attributes are a predetermined allowable similar attribute, as well as cases where they completely match.

[0015] According to the overlapping contact analysis method of the third invention, the TV ID attribute table and the TV digital attribute correspondence table, each having independently assigned attributes, do not necessarily have attributes that match perfectly. However, when the two attributes do not match perfectly, these attributes are integrated, including cases where they are predetermined allowable approximate attributes, making it possible to correct the extreme decrease in the number of overlapping data that is contrary to the actual value.

[0016] In this way, according to the overlapping contact analysis method of the third aspect of the invention, it is possible to analyze overlapping contact between broadcast content and web services simply and reliably in a manner that is more in line with reality. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a flowchart showing the processing content of an overlapping contact analysis method according to an embodiment of the present invention. [Figure 2] FIG. 2 is an explanatory diagram showing the processing content of the digital ID attribute table generation step in FIG. 1; [Figure 3] FIG. 2 is an explanatory diagram showing the processing content of the television digital attribute correspondence table generation step in FIG. 1; [Figure 4] FIG. 2 is an explanatory diagram showing the processing content of the TV ID attribute table generation step in FIG. 1; [Figure 5] FIG. 2 is an explanatory diagram showing the processing content of the cross-device matching table generation step in FIG. 1; DETAILED DESCRIPTION OF THE INVENTION

[0018] The processing contents of the overlapping contact analysis method according to one embodiment of the present invention will be described below with reference to FIG.

[0019] As shown in FIG. 1, the overlapping contact analysis method is a method for analyzing overlapping contact between broadcast content transmission, which transmits broadcast content via broadcasting, and a web service that is contrasted with the broadcast content and is provided via a network, and includes a digital ID attribute table generation step (STEP 10), a television digital attribute correspondence table generation step (STEP 20), a television ID attribute generation step (STEP 30), and a cross-device matching table generation step (STEP 40).

[0020] In the system for executing the overlapping contact analysis method of this embodiment, each processing unit that executes the various processing steps (STEP 10 to STEP 40) is configured with hardware such as a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), etc., and functions as an arithmetic unit (sequencer) for executing various processes by storing and holding programs that execute the various processing steps in memory and executing the programs. Also, each processing unit that executes each processing step may be configured in part or in whole by another server (external server), and the overlapping contact analysis method may be realized by distributed processing.

[0021] In the digital ID attribute table generation step of STEP 10, a digital ID attribute table is generated for web service log data identified by a digital ID that identifies the destination of the web service, in which attributes including at least gender and age are assigned to the digital ID.

[0022] Specifically, as shown in Figure 2, for web service log data, such as web logs that show access to sites via networks such as the Internet, and app logs that show access via applications on various devices such as smartphones, gender and age attributes are assigned to the digital ID (digital identifier) ​​as user attributes based on various survey results and estimation processes, and a digital ID attribute table like the one shown in the bottom of Figure 2 is generated.

[0023] Here, the digital ID (digital identifier) ​​is, for example, a cookie, ADID / IDFA, universal ID, etc.

[0024] Furthermore, for example, there may be a plurality of attributes of gender and age with different degrees of accuracy, and here, the attribute with the highest accuracy is preferentially adopted.

[0025] Next, in the television digital attribute correspondence table generation process of STEP 20, the television digital attribute correspondence table is generated by matching the digital ID attribute table generated in the digital ID attribute table generation process of STEP 10 with television log data identified by the television ID regarding broadcast viewing that was received and viewed using the digital ID and television ID.

[0026] Specifically, as shown in the upper part of Figure 3, television log data (television viewing log) is linked to an IP address, and as shown in the lower part of Figure 3, web service log data (web / app log) is also linked to an IP address.

[0027] Therefore, as shown in the center of FIG. 3, by focusing on commonality of IP addresses, digital IDs and television IDs are matched, and a television digital attribute correspondence table, as shown on the right side of FIG. 3, is generated.

[0028] Here, since IP addresses are changed as appropriate, commonality of IP addresses is determined based on the condition that the IP addresses of the television log data (television viewing log) and the web service log data (web / app log) are the same, and that the timestamps attached to them are within a specified period.

[0029] If the timestamp is within a predetermined period and the IP address is the same, a television digital attribute correspondence table is generated in which the television ID and the digital ID are matched.

[0030] In the television digital attribute correspondence table, in addition to the correspondence between television IDs (TVIDs) and digital IDs (digital identifiers), the attributes assigned to the digital IDs (digital identifiers) in the digital ID attribute table generation process in STEP 10 are also associated.

[0031] Next, in the TV ID attribute table generation process of STEP 30, a TV ID attribute table is generated in which attributes including at least gender and age are assigned to the TV ID for TV log data (TV viewing log) identified by the TV ID regarding broadcast viewing that received and viewed broadcast content transmission.

[0032] Specifically, for television log data (television viewing log) as shown in Figure 4, various estimation processes are performed to assign gender and age attributes as user attributes to the television ID (TVID), and a TV ID attribute table like the one shown in the lower part of Figure 4 is generated.

[0033] Here, television log data (television viewing log) is a log per television receiver, not per user. However, by employing various estimation processes (for example, Patent No. 6503117 by the present applicant) that estimate this as a log per user, it becomes possible to assign attributes such as gender and age as user attributes.

[0034] Next, in the cross-device matching table generation process of STEP 40, a cross-device matching table is generated by integrating the TV ID attribute table generated in the TV ID attribute table generation process of STEP 30 and the TV digital attribute correspondence table generated in the TV digital attribute correspondence table generation process of STEP 20 using the attributes of the TV ID attribute table and the attributes of the TV digital attribute correspondence table.

[0035] Specifically, as shown in Figure 5, the TV ID attribute table in the upper left of Figure 5 and the TV digital attribute correspondence table in the lower left of Figure 5 are integrated based on the commonality of these attributes, as shown in the center of Figure 5, to generate a cross-device matching table.

[0036] Here, the commonality of attributes includes not only cases where they are completely identical, but also cases where these attributes are predetermined allowable similar attributes.

[0037] Specifically, integration is performed when the aggregation categories of individual viewer ratings are close, i.e., when M1 = men 20-34 and M2 = men 35-49, or M2 = men 35-49 and M3 = men 50 and over, when F1 = women 20-34 and F2 = women 35-49, or when F2 = women 35-49 and F3 = women 50 and over, or when M3 = men 50-64 and F3 = women 50-64, or when M4 = men 65 and over and F4 = women 65 and over. Note that in these cases, the attributes do not strictly match, so one of them will be used.

[0038] On the other hand, if there are multiple close tallying categories, a unique category may be determined by generating random numbers as appropriate.

[0039] Furthermore, if the attribute does not fall within a predetermined allowable similar attribute, the data portion is deleted.

[0040] The cross-device matching table created by the above series of processes can be used as an analytical index for comparing the usage status of broadcast content and web services.

[0041] As described above, according to the overlapping contact analysis method of this embodiment, overlapping contact between broadcast content and web services can be analyzed simply and reliably.

[0042] In the overlapping exposure analysis method of this embodiment, gender and age are assigned as attributes to the television ID and digital ID, but other viewer attribute information (such as information representing income, information representing occupation, information representing the composition of cohabiting family members, information representing viewing attitudes, information representing purchasing attitudes, as well as survey information) can be assigned as attributes in addition to (or instead of) these, and matching can be performed using such attribute information as a key.

Claims

1. In a case where broadcast content transmission that transmits broadcast content via broadcasting and a web service that is contrasted with the broadcast content are provided via a network, a method for analyzing overlapping contact between the broadcast content and the web service is provided, a digital ID attribute table generation step of generating a digital ID attribute table in which attributes are assigned to the digital ID for web service log data identified by the digital ID that identifies the destination of the web service; a television digital attribute correspondence table generation step of generating a television digital attribute correspondence table obtained by matching the digital ID attribute table generated by the digital ID attribute table generation step with television log data identified by a television ID regarding broadcast viewing that has been received and viewed by the broadcast content transmission; a television ID attribute table generating step of generating a television ID attribute table in which attributes are assigned to television IDs for television log data identified by television IDs regarding broadcast viewing that has been received and viewed through the broadcast content transmission; a cross-device matching table generating step of generating a cross-device matching table by integrating the television ID attribute table generated in the television ID attribute table generating step and the television digital attribute correspondence table generated in the television digital attribute correspondence table generating step with attributes of the television ID attribute table and the television digital attribute correspondence table; An overlapping contact analysis method, characterized by performing the following steps.

2. The overlapping contact analysis method according to claim 1, A method for overlapping contact analysis, characterized in that the television digital attribute correspondence table generation process matches the television ID with the digital ID on the condition that the IP address of the television ID in the television log data is common to the IP address of the digital ID in the digital ID attribute table, and that the timestamps attached to the television log data and the web service log data are within a predetermined period.

3. The overlapping contact analysis method according to claim 1, The cross-device matching table generation process includes: An overlapping contact analysis method characterized by generating an integrated cross-device matching table including cases where the attributes of the TV ID attribute table and the attributes of the TV digital attribute correspondence table are a perfect match, as well as cases where these attributes are predetermined allowable approximate attributes.

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