KR101703742B1 - zapping advertisement analyzing and supplying system based on user - Google Patents

Abstract

The present invention analyzes the collected data and jumping log data transmitted from the gateways and the jumping advertisement server by the data analysis platform to generate audience rating information, jumping statistical data, and jumping advertisement recommendation data, and generates a dashboard related thereto The efficiency of the advertisement can be maximized and the convenience of use and the reliability of the analysis can be remarkably increased. Also, when the data analysis platform generates the jumping advertisement recommendation data, any one of a plurality of predetermined analysis algorithms can be selected from the user Or an open API (application program interface) to register the self-analysis algorithm created by the user and analyze the collected data using the selected or registered analysis algorithm, thereby significantly improving the reliability and accuracy of the analysis User-based jumping ads It relates to the analysis and delivery systems.

Description

[0001] The present invention relates to a user-based jumping advertisement analyzing and providing system,

The present invention relates to a system and method for analyzing and providing a user-based jumping advertisement. More particularly, the present invention relates to a system and method for detecting an optimal jumping advertisement for each predetermined category by using external data, The present invention relates to a user-based jumping advertisement analysis and provision system capable of maximizing the efficiency and significantly improving the reliability and convenience of analysis.

The zapping time is defined as a time when no channel is displayed on the screen when the channel is changed from the current channel to the next channel. In order to efficiently utilize the jumping time, a jumping advertisement There is a surge in interest.

FIG. 1 is a diagram showing a japping data providing system disclosed in Korean Patent No. 10-1273891 (entitled: a japping data providing system, a providing method, and a recording medium for the method) filed by the present applicant and patent registered to be.

The jumping data providing system 100 of FIG. 1 includes a digital broadcasting center 101 for providing digital broadcasting and a digital broadcasting receiving unit 105 for receiving jumping data from the digital receiving apparatus 105, And transmits the digital broadcasting to the digital broadcasting center 101 in response to a channel change request of the user. The digital broadcasting center 101 transmits and receives digital broadcasting of a channel to be changed, A digital receiving device 105 for displaying the jumping data transmitted from the data providing server 103, and a wired / wireless network 400.

In the conventional technology 100 configured as described above, when the digital receiving apparatus 105 receives jumping data from the jumping data providing server 103 upon channel change and displays the jumping data on the TV monitor, Data can be provided.

Typically, advertisements have a significant relevance to location, time of day, broadcast (program) content, channel characteristics, audience ratings, and so on. However, the prior art 100 has structural limitations in that the effectiveness of the advertisement is poor because it is configured to selectively provide the jumping data to the digital receiving device 105 without taking this association into consideration at all.

In this case, in the prior art 100, a configuration in which the jumping data providing server 103 collects viewer information is described. However, the viewer information is simply a channel, a date, a time zone, a region, And the like.

Further, even if the connected user wants to browse the viewer information, the conventional technology 100 does not describe a configuration for providing the viewer information to the user at all, resulting in ease of use and low reliability of analysis.

Also, even if the conventional art 100 is configured to provide the viewer information to the connected user, since the information providing and exhibition methods are determined by the administrator, the user has a limitation in manually browsing the information.

On the other hand, there is a growing interest in data mining, which detects significant information from big-data, which is large in size, short in generation period, and defined as large-scale data having various forms.

In other words, matching the meaningful information detected through the data mining of the external big data with the jumping advertisement and selecting and providing the appropriate jumping advertisement can maximize the effectiveness of the jumping advertisement. However, conventionally, And does not describe a configuration for matching with a jumping advertisement, the efficiency of the jumping advertisement lowers.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a data analysis platform which is capable of receiving data transmitted and received by a digital receiver from a first gateway, , And receives jumping log data from a jumping advertisement server and analyzes the received jumping log data to generate ratings information, jumping statistical data, and jumping advertisement recommendation data, and generates a dashboard for the users, thereby maximizing the efficiency of the advertisement A user-based jumping advertisement analyzing and providing system capable of remarkably enhancing convenience of use and reliability of analysis.

In addition, another object of the present invention is to provide a data analysis platform, in which when a jumping advertisement recommendation data is generated, either one of a plurality of predetermined analysis algorithms is selected from a user or an open API (application program interface) And a system for analyzing the collected data by using a selected or registered analysis algorithm, thereby providing a user-based jumping advertisement analysis and providing system capable of significantly increasing the reliability and accuracy of analysis.

In addition, another object of the present invention is to provide a data analysis platform that displays audience rating information, jumping statistical data, and jumping advertisement recommendation data through a dashboard, and determines a display item and a display method according to a user's selection, And to provide a user-based jumping advertisement analysis and provision system capable of increasing the efficiency and information delivery capability.

According to an aspect of the present invention, A jumping advertisement server for providing jumping advertisement contents and outputting jumping log data composed of time information, channel information, location information, and first category information, which is association information for each of the predetermined first category lists, ; A data collection unit for collecting data from the collection target servers and jumping log data from the jumping advertisement server; and a jumping advertisement server for analyzing the jumping log data of the jumping advertisement server, A jumping statistic data generating unit for generating statistical data, and a data analyzing unit for analyzing the data collected from the collection target servers and the jumping log data using a predetermined analysis algorithm to indicate a priority of a jumping advertisement according to channel, And a dashboard management unit for generating a dashboard including a jumping advertisement recommendation data generating unit for generating jumping advertisement recommendation data and a graphical user interface (GUI) on which the jumping statistical data and the jumping advertisement recommendation data are displayed Wherein the data analysis platform comprises: The analysis algorithms are stored in the dashboard, and either one of the analysis algorithms is selected from the connected users, or an open API (application program interface) Wherein the jamming advertisement recommendation data generation unit receives the analysis algorithm selected by the user through the dashboard when the user selects one of the predetermined analysis algorithms, Algorithm to generate the jumping advertisement recommendation data, and generates the jumping advertisement recommendation data using the registered analysis algorithm when registering the analysis algorithm that the user has added through the dashboard.

In the present invention, the advertisement information analyzing and providing system may further include an audience information generating unit for analyzing the jumping log data transmitted from the jumping advertisement server to generate audience information for each channel, time zone, and location.

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In the present invention, it is preferable that the data collection unit is a gateway installed in a data movement path of a collection object.

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Also, in the present invention, the dashboard management unit may include a dashboard for displaying audience rating information, jumping statistical data, and jumping advertisement recommendation data generated by the audience rating information generator, the jumping statistic data generator, and the jumping advertisement recommendation data generator, And the generated dashboard includes an input field for receiving any one of the preset display methods from the user, and the dashboard manager displays the analyzed data in accordance with the display method input through the generated dashboard .

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In the present invention, the generated dashboard may include an input field for receiving an input format and an output format for the analyzed data from a connected user, and the dashboard management unit may include an input format And the output format are inputted, the user who is connected among the 'bar chart', 'line chart', 'pie chart' and 'table' according to the inputted input format and output format To display the analyzed data in any one of the above-mentioned embodiments.

In addition, the generated dashboard according to the present invention may include a display method list in which a list of the predetermined exhibition methods is displayed, and an exhibition window in which a sample graph representing each of the exhibition methods is displayed, It is preferable that when one of the lists is dragged while being clicked, it is determined that the dragged display method is inputted from the user.

Also, the generated dashboard may include an input format list in which the list of the input formats is displayed and an output format list in which the list of the output formats is displayed. The input format list or the output format list The input format or the output format of the display method is input as a dragged input format or an output format when either one of the sample graphs of the display windows is clicked and dragged into the input format column or the output format column of one of the sample graphs of the display windows .

In the present invention, when the preset display methods are 'bar chart', 'line chart', or 'pie chart', the input format column is 'X' Axis. ≪ / RTI >

According to the present invention having the above-described objects and solutions, the data analysis platform transmits the data transmitted and received by the digital receiver from the first gateway to the external data transmitted and received by the external collection destination servers from the second gateways, Log data is received and analyzed to generate ratings information, jumping statistical data, and jumping advertisement recommendation data, and a dashboard is generated and provided to the connected users, thereby maximizing efficiency of advertisement and convenience and analysis Can be significantly increased.

According to the present invention, when the data analysis platform generates the jumping advertisement recommendation data, the user can select one of a plurality of predetermined analysis algorithms from the user or provide an open API (application program interface) Algorithms are registered and analyzed to collect data using selected or registered analysis algorithms, thereby significantly increasing the reliability and accuracy of the analysis.

According to the present invention, the data analysis platform displays the audience rating information, the jumping statistical data, and the jumping advertisement recommendation data through the dashboard, and the display item and the display method are determined according to the selection of the user (user) Increase the calendar.

1 is a block diagram showing a jumping data providing system disclosed in Korean Patent No. 10-1273891 entitled " Jumping data providing system, providing method and recording medium for the method ".
2 is a configuration diagram illustrating a jumping advertisement analysis and provision system, which is an embodiment of the present invention.
Fig. 3 is an exemplary diagram for explaining Fig. 2. Fig.
4 is a block diagram illustrating the second gateway of FIG.
Figure 5 is a block diagram illustrating the data analysis platform of Figure 2,
6 is a block diagram illustrating the dashboard management unit of FIG.
FIG. 7 is an exemplary diagram illustrating a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 6. FIG.
Fig. 8 is another embodiment of Fig. 7. Fig.
Fig. 9 is another embodiment of Fig.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

FIG. 2 is a configuration diagram showing a jumping advertisement analysis and provision system, which is an embodiment of the present invention, and FIG. 3 is an exemplary diagram for explaining FIG.

The jumping advertisement analysis and provision system 1 of FIGS. 2 and 3 includes a digital receiver 6, broadcast content servers 9-1, ..., 9-N, a jumping advertisement server 8, The first gateway 4, the second gateway 5-1, ..., (5-N), the data analysis platform 3, and a communication network 11. In the present invention, the number of the digital receivers 6 is one for convenience of explanation, but it is needless to say that the number of the digital receivers 6 may be plural.

In the present invention, the jumping advertisement server 8 and the data analysis platform 3 are separately configured for convenience of explanation. However, the data analysis platform 3 may be included in the jumping advertisement server 8, The server 8 may be configured to perform the operations and functions of the data analysis platform 3. [

The network 11 includes a digital receiver 6, broadcast content servers 9-1, ..., 9-N, jumping advertisement server 8, gateways 4, 5-1,. (LAN), a wide area network (WAN), a mobile communication network, a 3G LTE network, and the like, in detail, 4G network, and the like.

The broadcast content servers 9-1, ..., and 9-N are servers for producing and editing broadcast content, and more specifically, terrestrial, satellite, and cable broadcast stations capable of providing broadcast content, An Internet broadcasting station, and the like.

Also, each of the broadcast content servers 9-1, ..., and 9-N is assigned a broadcast channel, and broadcast content corresponding to a time zone and a channel of a predetermined EPG (Electronic Program Guide) And sends its channel to the requesting digital receiver 6.

The digital receiver 6 has a communication interface unit connectable to the communication network 11 and is connected to the broadcasting contents server 9-1 through 9-N through the communication network 11, The broadcast content is decoded and converted in accordance with a signal format of the display means such as a TV monitor, and the converted broadcast content is displayed through the display means.

The digital receiver 6 may be a set-top box for receiving terrestrial, satellite, or cable broadcasting, a TV having built-in set-top box function, Internet-based IPTV, Digital Multimedia Broadcasting (DMB) or Digital Video Broadcasting- A mobile phone, a smart phone, a notebook computer, a tablet PC, a personal multimedia player (PMP), or a navigation device equipped with a receiving module.

The digital receiver 6 transmits broadcast request data to the broadcast content server of the channel to be changed among the broadcast content servers 9-1, ..., and 9-N when the channel change request is received from the user, Receives the broadcast content from the broadcast content server 9, decodes and converts the received broadcast content signal, and displays the decoded and converted signal through the display means.

At this time, the jumping advertisement provided from the jumping advertisement server 8 is displayed on the display means during a zapping time, which is a time when the viewer changes the channel from the current channel to the next channel.

The digital receiver 6 transmits the channel change data including the channel information to be changed to the jumping advertisement server 8 when the channel change request is received from the user. Upon receiving the jumping advertisement content from the jumping advertisement server 8, Through the display means.

The jumping advertisement server 8 stores the produced jumping advertisement contents. At this time, each of the jumping advertisement contents is stored by being matched according to the channel (change target) and time zone, and the jumping advertisement contents matched by the channel and time zone will be referred to as a jumping advertisement schedule table. That is, if the jumping advertisement server 8 receives the channel change data from the digital receiver 6, the jumping advertisement server 8 searches for a pre-set jumping advertisement schedule table, and transmits information of a channel to be changed included in the transmitted channel change data, The content is extracted and transmitted to the digital receiver 6 so that the digital receiver 6 can display the jumping advertisement transmitted through the jumping advertisement server 8 through the display means during the jumping time in which the channel change is performed.

At this time, the jumping advertisement contents may be composed of images, images, sounds, texts, logos and the like, and more specifically, information related to the channel to be changed or the broadcasting company, the broadcasting contents of the channel to be changed, do. For example, the jumping advertisement contents may include information on broadcast contents that are currently being broadcasted or airing, representative channel information, etc., and may include a logo of a specific goods or service provider, a product image, an address, a telephone number, . ≪ / RTI >

In addition, the jumping advertisement server 8 generates jumping log data at the time of sending the jumping advertisement, and periodically transmits the generated jumping log data to the data analysis platform 3. At this time, the jumping log data includes channel information to be changed, jumping advertisement time (jumping start time and jumping end time), set-top box ID, and first category information. In this case, the first category information is defined as association information for each of the predetermined first category lists, and the first category list is defined as data collected from the collection target servers. For example, if the collection target server is a meteorological service server, the first category list is weather, and the first category information is information indicating the association with the weather.

The first category information of the jumping log data is set by the administrator.

The collection target servers 7-1, ..., 7-N are servers for providing external data, and specifically include a social network service, a portal site, a soft switch, a search engine, And the like. At this time, the external data is defined as meaningless data including the formatted / unstructured data. Such external data is utilized as meaningful data by the data analysis platform 3, and the meaningful data is set as the category list by the administrator.

For example, if the meteorological service server is applied as a collection destination server, the external data may be composed of weather information by location and time zone. If the traffic control center server is applied as a collection destination server, And the external data to which the search site is applied as the collection target server may be composed of search keywords.

The first gateway 4 is installed in the data movement path of the digital receiver 6 and collects data transmitted and received from the digital receiver 6 and transmits the collected data to the data analysis platform 3. In the present invention, for convenience of explanation, the gateway is installed separately from the first gateway and the second gateway. However, the first gateway and the second gateway are devices having the same configuration.

Also, the collected data collected by the first gateway 4 includes the channel, broadcast content and time information currently displayed through the display means, and the data analysis platform 3 collects and transmits the collected data from the first gateway 4 The audience rating can be detected through the collected data. In the present invention, for example, audience rating information is generated by utilizing the data collected from the digital receiver 6 for convenience of explanation. However, the audience rating information may be generated by utilizing the jumping log data generated by the jumping advertisement server 8 Lt; / RTI >

The second gateways 5-1 to 5-N are installed in the data movement paths of the collection target servers 7-1 to 7-N, And transmits collected data to the data analysis platform 3 after collecting data transmitted and received from the target server.

Also, the collected data collected by the second gateways 5-1, ..., and 5-N may be a search keyword, weather information, traffic information, and metadata information.

The data analysis platform 3 includes hardware and software such as an operating system, a middleware, a processor, etc., on which an application program can be executed.

In addition, the data analysis platform 3 analyzes the collected data received from the first gateway 4 and the jumping log data transmitted from the jumping advertisement server 8 to generate jumping statistical data. At this time, the jumping statistical data is defined as the number of times of exposure of a jumping advertisement by a channel, a time zone, a location, a digital receiver, and a broadcast content.

In addition, the data analysis platform 3 analyzes the collected data received from the first gateway 4 to generate audience rating information. In this case, the audience rating information is defined as a channel, a broadcast content, a time zone, and an audience rating per location.

Further, the data analysis platform 3 analyzes the jumping log data to detect the second category information. Here, the second category information is information on each of the predetermined second category lists, and the second category lists include 'time zone', 'location', 'channel' and the like. For example, the second category information of the 'A' jumping advertisement is 'Time Zone' (13:04 ~ 13:06), 'Location' (Myeongdong), 'Channel' (Channel 23) ≪ / RTI >

Also, the data analysis platform 3 can collect data from the collection target servers 8-1, ..., 8-N using any one of the predetermined analysis algorithms selected by the user or an analysis algorithm registered from the user Analyzing the first category information of the collected data, the jumping statistical data, and the jumping log data to generate jumping advertisement recommendation data indicating the priority of the jumping advertisement by time, channel, and position.

For example, the analysis algorithm will be described. The data analysis platform 3 preliminarily stores mapping tables matched with weights according to the predetermined statistics of the first category list, and the analysis algorithm uses a mapping table, The first category lists of the first category lists are added to the first category lists, and the sum of the first category lists is added to calculate jumping advertisement recommendation data indicating the priority of the jumping advertisement. For example, assume that the first category list of the specific jumping advertisement is 'A', 'B', the first category information is set to 3, and the association to the 'B' list is set to 5 If the statistic for the 'A' list exceeds 80, the weight is 10, and if the statistic is 60 ~ 80, the weight is 8, and the correlation and weight for each list are multiplied and then the multiplied values are summed Priority can be determined.

The jumping advertisement recommendation data generated by the data analysis platform 3 is transmitted to the jumping advertisement server 8. The jumping advertisement server 8 updates the jumping advertisement schedule using the transmitted jumping advertisement recommendation data, Location, and category lists of all the advertisements, it is possible to perform the most suitable jumping advertisement service.

Also, the data analysis platform 3 provides a dashboard including a graphical user interface to the connected user 10 as a web screen, and the dashboard allows the user 10 And the jumping advertisement recommendation data, it arranges and converts the jumping statistical data, the audience rating information, and the jumping advertisement recommendation data by using an item selected from the user among the preset items as an input item, And provides it to the user 10. In other words, the data analysis platform 3 centrally manages the functions appropriate for the decision making and the job analysis of the user 10 through the dashboard, and controls the items inputted from the user 10 through the dashboard, The user 10 displays the jumping statistic data, the audience rating information, and the jumping advertisement recommendation data by sorting and converting the jumping statistical data, the audience rating information, and the jumping advertisement recommendation data, thereby displaying the jumping statistical data, the audience rating information, .

The data analysis platform 3 is configured to provide an open API (application program interface) to the user 10 so that the user 10 can register an analysis algorithm created by the user 10 through a graphical user interface (GUI) When the analysis algorithm is registered from the user 10, the jumping advertisement recommendation data is generated using the registered analysis algorithm.

That is, the data analysis platform 3 of the present invention is not limited to performing data analysis using only a fixed analysis algorithm as in the prior art, but may be configured to select one of various analysis algorithms from the user 10, The analysis algorithm is registered, and the jumping advertisement recommendation data is generated using the selected or registered analysis algorithm, thereby making it possible to perform various analyzes, thereby improving the analytical reliability and efficiency.

At this time, the graphical user interface (GUI) of the dashboard provided in the data analysis platform 3 includes a registration field for registering the self-generated analysis algorithm from the user 10 and a check box for selecting any one of the predetermined analysis algorithms The user can generate the jumping advertisement recommendation data using the analysis algorithm desired by the user. That is, since the external data has various formats and contents as well as its size is infinite, different jumping advertisement recommendation data can be detected for the same data according to the applied analysis algorithm. Therefore, in the present invention, It is possible to greatly improve the reliability and accuracy of the analysis by performing various analyzes using the same data.

In addition, the data analysis platform 3 provides the japping statistical data, audience rating information, and jumping advertisement recommendation data to a user who requests it through a graphical user interface of the dashboard as a web screen. At this time, the dashboard can receive an input value (input item) and a result value (result item) from the user 10. The dashboard can receive jumping statistical data, an audience rating Information and jumping advertisement recommendation data are arranged and converted and displayed, the user 10 can select the item (input value or result value) desired by him or her and can view the jumping advertisement recommendation data from various angles.

4 is a block diagram illustrating the second gateway of FIG.

The second gateway 5 of FIG. 4 collects external data which is installed in the data movement path of each of the collection destination servers 7-1, ..., and 7-N and is data transmitted and received therefrom, And transmits the collected external data to the data analysis platform 3.

The second gateway 5 includes a data collecting unit 51 for collecting data transmitted and received from a connected object and a data converting unit 51 for converting the data collected by the data collecting unit 51 into a format selected from the user 10. [ A data processing unit 55 for processing collected data converted into a single format by the data conversion unit 53 in an asynchronous manner, and a communication interface unit 57 for performing data communication.

At this time, various categories such as' 'HTTP', 'FTP', 'POP3', 'SMTP', 'IMAP', 'DNS'

The first gateway 4 is installed on the movement path of the digital receiver 6 and collects data transmitted and received from the digital receiver 6 and has the same configuration as that of the second gateway 5, .

Figure 5 is a block diagram illustrating the data analysis platform of Figure 2;

The data analysis platform 3 of FIG. 5 includes a database 32 in which data is stored, a communication interface 33 for transmitting and receiving data to and from the outside, and a communication interface 33 for receiving data from the first gateway 4 An audience rating information generation unit 34 for analyzing the received data to generate audience rating information, a jittering server for analyzing jumping log data and EPG information transmitted from the jumping advertisement server 8 through the communication interface unit 33, A jumping advertisement recommendation data generating unit 36 for analyzing jumping log data and external data to generate jumping advertisement recommendation data, and a jumping advertisement recommendation data generating unit 36 for multiplexing the jumping advertisement data and the jumping advertisement recommendation data A dashboard management unit 37 for generating a dashboard and visualizing the dashboard in a desired form by the user 10 and displaying the dashboard in a desired form; They Li comprises a controller 31 and to control.

The control unit 31 is an operating system (OS) of the data analysis platform 3 and manages and controls the control objects 32, 33, 35, 36, and 37.

The control unit 31 also receives the collection data transmitted from the first gateway 4 and the second gateways 5-1 through 5-N via the communication interface unit 33, And stores the jumping log data transmitted from the server 8 in the database unit 32.

The control unit 31 also inputs the collected data received from the first gateway 4 through the communication interface unit 33 to the audience rating information generating unit 34 and the jumping statistic data generating unit 35.

The control unit 31 also inputs the jumping log data received from the jumping advertisement server 8 to the jumping statistical data generating unit 35.

The control unit 31 also receives the collected data received from the second gateways 5-1, ..., and 5-N via the communication interface unit 33 and the collected data received from the audience information generating unit 34 The audience rating information and the jumping statistical data generated by the jumping statistical data generating section 35 to the jumping advertisement recommendation data generating section 36. [

In addition, the control unit 31 selects one of predetermined analysis algorithms from the user 10 through the graphical user interface of the dashboard, or selects a self-analysis algorithm by using a registered analysis algorithm, And controls the jumping advertisement recommendation data generating unit 36 so that the data is generated.

The collected data is temporarily stored in the database unit 32 separately for each field.

The database 32 stores predetermined analysis algorithms. Various known analysis algorithms capable of analyzing data according to the format of the data can be applied to the predetermined analysis algorithm.

The database unit 32 stores pre-fabricated graphical user interfaces.

The audience rating information generating unit 34 uses the collected data received from the first gateway 4 through the communication interface unit 33 and the EPG information to determine the audience rating information indicating the audience rating by channel, . In this case, the configuration and method for generating the audience rating are techniques commonly used in the audience rating system, and thus a detailed description thereof will be omitted.

In the present invention, the audience rating information generation unit 34 generates audience rating information by using collected data received from the first gateway 4, that is, data of the digital receiver 6, It may be constructed that the jumping log data generated by the jumping advertisement server 8 is generated.

The jumping statistical data generator 35 analyzes the jumping log data transmitted from the jumping advertisement server 8 to generate jumping statistical data. At this time, the jumping statistical data is defined as the number of times of exposure of the jumping advertisement by channel, time, position, digital receiver, and broadcasting contents.

The jumping advertisement recommendation data generation unit 36 generates a jumping advertisement recommendation data for each of the second gateways 5-1, ..., (5-N) using the analysis algorithms registered by the user, And generates jumping advertisement recommendation data by analyzing the generated jumping statistic data. At this time, the analysis algorithm is defined as an algorithm for detecting the priority of jumping advertisement for each location, time zone, and channel from the vast amount of data and jumping statistical data collected from the collection target servers.

For example, if the 'A' jumping advertisement is highly related to a specific region (S), the priority of 'A' jumping advertisement in a specific region is increased, and 'B' If the 'C' jumping advertisement is highly related to a specific search keyword, the priority of the 'C' jumping advertisement increases according to the increase in the search of the specific search keyword. If the 'D' jumping advertisement is highly related to the traffic congestion in a certain area, the priority of 'D' jumping advertisement, which is provided to a specific area according to traffic congestion in a specific area, increases.

That is, the data analysis platform 3 of the present invention detects the relevance to the jumping advertisement from the meaningless and vast amount of data using the analysis algorithm, and then detects the priority of the jumping advertisement according to the detected association, thereby maximizing the advertisement efficiency, It is possible to increase the reliability of the apparatus.

In the present invention, the analysis algorithms for detecting jumping advertisement recommendation data are configured to be selected or registered by the user, but one of these analysis algorithms will be described as an example.

The data analysis platform 3 previously stores a mapping table matched with a weight according to the predetermined statistical category list, and stores the first category information in the jumping log data.

The analysis algorithm calculates the statistics of each of the category lists and searches the mapping table to detect a weight corresponding to the statistical information. Then, each of the detected weights is multiplied by the association information of the corresponding first category information, and then the result is summed.

The analysis algorithm may also generate ad recommendation data indicating the priorities using the sum values. For example, assume that the first category list of the specific jumping advertisement is 'A', 'B', the first category information is set to 3, and the association to the 'B' list is set to 5 , The analysis algorithm can assign a weight of 10 when the statistic for the 'A' list exceeds 80, and a weight of 8 when the statistic is 60 to 80, multiply the correlation and weight for each list, Can be added to determine the priority.

6 is a block diagram illustrating the dashboard management unit of FIG.

The dashboard management unit 37 of FIG. 6 calls an arithmetic function according to the inputted input item at the request of the user to calculate any one of the audience rating information, the jumping statistical data, and the jumping advertisement recommendation data, A dashboard generating unit 370 for generating a dashboard displayed on the basis of the input item and the result item input from the client, the result value calculated by the operation processing module 371, Module 373.

FIG. 7 is an exemplary diagram illustrating a graphical user interface of a dashboard generated by the dashboard management unit of FIG. 6. FIG.

The graphical user interface 200 of FIG. 7 is a graphical user interface that displays the jumping statistical data according to the input item and the result item according to the selection of the user 10.

The graphical user interface 200 includes a first input field 201 for receiving an input value from a user, a second input field 201 for receiving a result value (result item) from the user, And an exhibition field 205 for graphing and displaying the jumping statistical data according to the result value.

The results (result items) are classified into validity, settop ID, jumping start channel, jumping start time, jumping end time, jumping time, jumping contents,

FIG. 8 shows another embodiment of FIG. 7, and FIG. 9 shows another embodiment of FIG.

The graphical user interface 300 of FIG. 8 includes an algorithm selection field 301 for receiving any one of predetermined analysis algorithms from the user 10, a registration field 303 for registering a self analysis algorithm, And a definition field 305 that defines data to be processed.

The definition field 305 includes a name input field 351 for inputting the name of the result value and a type field 353 for inputting the data type.

The graphical user interface 400 of FIG. 9 includes display windows 401 for displaying one of viewer rating information, jumping statistical data, and jumping advertisement recommendation data, And an input / output item list 405 for selecting input / output items.

The display method list 403 may include at least one of various display methods such as a bar chart, a line chart, a pie chart, a table, . At this time, when the client drags a list of exhibition methods desired by the client in a state of clicking on the exhibition method list 403, the graphic user interface 400 determines that the dragged exhibition method is selected.

The input / output item list 405 receives input / output items and the above-described data format. At this time, when the client drags the desired input item among the input / output item lists 405 in a state in which the user has clicked the desired input item, the graphic user interface 400 determines that the dragged display mode is selected.

At this time, if any one of the input / output item lists 405 is dragged to the X axis of the display method described above, the corresponding list is converted to X axis (input value), and any one of the input / output item lists 405, Axis, the analysis data is displayed on the Y-axis (result value) of the list, so that the user can observe the analysis data for each exhibition method and item desired by the user.

1: Advertisement information analysis and provision system 3: Data analysis platform
4: first gateway 5-1, ..., 5-N: second gateways 6: digital receiver
7-1, ..., 7-N: collection target servers 8: jumping advertisement server
9-1, ..., 9-N: broadcast content server 10: user
31: control unit 32: database unit 33: communication interface unit
34: audience rating information generation unit 35: jumping statistic data generation unit
36: jumping advertisement recommendation data generation unit 37: dashboard management unit

Claims (11)

Collection target servers;
A jumping advertisement server for providing jumping advertisement contents and outputting jumping log data composed of time information, channel information, location information, and first category information, which is association information for each of the predetermined first category lists, ;
A data collection unit for collecting data from the collection target servers and jumping log data from the jumping advertisement server; and a jumping advertisement server for analyzing the jumping log data of the jumping advertisement server, A jumping statistic data generating unit for generating statistical data, and a data analyzing unit for analyzing the data collected from the collection target servers and the jumping log data using a predetermined analysis algorithm to indicate a priority of a jumping advertisement according to channel, And a dashboard management unit for generating a dashboard including a jumping advertisement recommendation data generating unit for generating jumping advertisement recommendation data and a graphical user interface (GUI) on which the jumping statistical data and the jumping advertisement recommendation data are displayed Includes a data analysis platform,
Wherein the data analysis platform stores predetermined analysis algorithms utilized in the jumping advertisement recommendation data generation unit and selects either one of the analysis algorithms from the connected user through the dashboard, an application program interface is provided to receive a registration algorithm of a self-generated analysis algorithm from the user through the dashboard,
The jumping advertisement recommendation data generation unit generates the jumping advertisement recommendation data using the selected analysis algorithm when one of the predetermined analysis algorithms is selected from the user through the dashboard, And generates the jumping advertisement recommendation data by using the registered analysis algorithm when the registered analysis algorithm is registered. The system according to claim 1, wherein the advertisement information analysis and provision system
And an audience rating information generating unit for analyzing the jumping log data transmitted from the jumping advertisement server and generating audience rating information by channel, time zone and location. delete The system according to claim 2, wherein the data collection unit is a gateway installed in a data movement path of an object to be collected. delete The method of claim 4, wherein the dashboard management unit displays display rate information, jumping statistical data, and jumping advertisement recommendation data generated by the audience rating information generator, the jumping statistic data generator, and the jumping advertisement recommendation data generator, Wherein the generated dashboard includes an input field for receiving any one of preset display methods from a user, and the dashboard management unit displays the dashboard in accordance with the display method input through the generated dashboard, And displaying the analyzed data. delete The method of claim 6, wherein the generated dashboard includes an input field for receiving the analyzed input data and an output format from the connected user,
If the input format and the output format are inputted through the input field of the generated dashboard, the dashboard management unit may generate a bar chart, a line chart, a pie chart, and displays the analyzed data in any one of the connected users among the 'pie chart' and 'table'. The method according to claim 8, wherein the generated dashboard includes a display method list in which a list of the predetermined display methods is displayed, and an exhibition window in which a sample graph representing each of the display methods is displayed, Wherein when the user clicks one of the display method lists, it is determined that the dragged display method is input from the user. The method according to claim 9, wherein the generated dashboard includes an input format list in which a list of the input formats is displayed and an output format list in which a list of the output formats is displayed, If any one of the output format lists is clicked and dragged to an input format column or an output format column of one of the sample graphs of the display windows, the input format or output format of the display method is a dragged input format or an output format The advertisement information analyzing and providing system according to claim 1, The method according to claim 10, wherein when the predetermined display methods are 'bar chart', 'line chart', or 'pie chart', the input format column is 'X' Is set to a 'Y' axis.

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