WO2017034053A1

WO2017034053A1 - User-based zapping advertisement analysis and provision system

Info

Publication number: WO2017034053A1
Application number: PCT/KR2015/008958
Authority: WO
Inventors: 김종수
Original assignee: (주)재플
Priority date: 2015-08-26
Filing date: 2015-08-27
Publication date: 2017-03-02
Also published as: KR101703742B1; CN106488156A; CN106488156B

Abstract

The present invention relates to a user-based zapping advertisement analysis and provision system, which is configured such that a data analysis platform analyzes collected data and zapping log data transmitted from gateways and a zapping advertisement server, to generate rating information, zapping statistical data, and zapping advertisement recommendation data, and generates a dashboard related thereto and provides the dashboard to a connected user, to thereby maximize the efficiency of an advertisement and significantly increase the convenience of use and the reliability of the analysis; and a data analysis platform selects one of a plurality of predetermined analysis algorithms from the user when generating the zapping advertisement recommendation data or provides an open application program interface (API) to register a self-analysis algorithm created by the user himself and analyze the collected data using the selected or registered analysis algorithm, to thereby significantly increase reliability and accuracy of the analysis.

Description

User based zapping advertisement analysis and provision system

The present invention relates to a system for analyzing and providing a user-based zapping advertisement. In detail, the present invention is configured to detect an optimal zapping advertisement for each category by using external data and to easily bind a connected user. The present invention relates to a system for analyzing and providing a user-based zapping advertisement that can not only maximize efficiency but also significantly increase the reliability and convenience of analysis.

The zapping time is defined as the time when no content is displayed on the screen when the channel is changed from the current channel to the next channel, and the zapping advertisement allows the advertisement to be displayed during the zapping time in order to effectively utilize the zapping time. There is a surge in interest.

1 is a block diagram showing a system for providing zapping data disclosed in Korean Patent No. 10-1273891 filed by the present applicant (patent name of the invention: a zapping data providing system, a providing method and a recording medium for the method). to be.

The zapping data providing system (hereinafter, referred to as a prior art) 100 of FIG. 1 is a digital receiving apparatus for receiving a channel change data from a digital broadcasting center 101 that provides digital broadcasting and a digital receiving apparatus 105. The zapping data providing server 103 for transmitting to the 105 and the digital broadcasting center 101 according to the channel change request of the user are transmitted and received, the digital broadcasting of the channel to be changed is received and displayed, and the zapping during the zapping time. The digital receiving device 105 displaying the zapping data received from the data providing server 103 and the wired / wireless network 400.

In the prior art 100 configured as described above, when the digital receiving apparatus 105 receives the zapping data from the zapping data providing server 103 when the channel is changed and displays it on the TV monitor, the zapping during the zapping time occurs when the channel is changed to the viewer. It has the advantage of providing data.

Advertisements generally have significant relevance to location, time of day, broadcast (program) content, channel characteristics, and viewership. However, since the prior art 100 is configured to select and provide the zapping data to the digital receiving apparatus 105 without considering such a relationship at all, there is a structural limitation that the advertising efficiency is low.

In this case, although the configuration in which the zapping data providing server 103 collects viewer information is described in the related art 100, the viewer information is simply a channel, a date, a time zone, a region, and the number of exposures of the zapping data provided by a channel change request. Statistical data including at least one of the.

In addition, even if the connected user tries to view the viewer information, the related art 100 does not describe the configuration for providing the user to the user at all.

In addition, even if the prior art 100 is configured to provide the viewer information to the connected user, since the information providing and display method is determined by the administrator, the user has to manually view the information.

On the other hand, in recent years, interest in data mining that detects meaningful information from big data defined by large data having a large scale, short generation cycles, and various shapes is rapidly increasing.

That is, selecting and providing suitable zapping advertisements by matching meaningful information detected through data mining of external big data to the zapping advertisement can maximize the efficiency of the zapping advertisement, but conventionally using such external data is composed and external data Analysis of the matching to the zapping advertisement is not described at all because there is a problem that the efficiency of the zapping advertisement falls.

The present invention is to solve such a problem, the problem of the present invention is that the data analysis platform to transmit and receive data of the digital receiver from the first gateway, the external data of each of the external collection target servers from the second gateway In order to maximize the efficiency of advertisements by receiving the zapping log data from the zapping advertisement server, analyzing them and generating audience rating information, zapping statistics data, and zapping advertisement recommendation data, and generating a dashboard about them and providing them to the connected users. At the same time, to provide a user-based zapping advertising analysis and providing system that can significantly increase the ease of use and analysis reliability.

In addition, another problem of the present invention is that when the data analysis platform generates the zapping advertisement recommendation data, one of a plurality of preset analysis algorithms is selected by the user or provided by the user by providing an open API (application program interface). It is to provide a user-based zapping advertisement analysis and providing system that can significantly increase the reliability and accuracy of the analysis by analyzing the collected data using the selected or registered analysis algorithm registered with the registered self analysis algorithm.

In addition, another problem of the present invention is that the data analysis platform exhibits viewer rating information, zapping statistical data, and zapping advertisement recommendation data through a dashboard, but the display items and the display method are determined according to the user's selection. It is to provide a user-based zapping advertisement analysis and providing system that can improve efficiency and information delivery ability.

Solution to a problem of the present invention for solving the above problems the collection target server; A zapping advertisement server that provides zapping advertisement contents and outputs zapping log data including time information, channel information, location information, and first category information, which is association information for each of the preset first category lists. ; Data collection unit for collecting the data from the collection target server, the zapping log data from the zapping advertisement server and the zapping log data of the zapping advertisement server by analyzing the zapping indicating the number of exposures by channel, time zone and location of the zapping advertisement Zapping statistical data generating unit for generating statistical data, and the analysis of the data collected from the collection target server and the zapping log data using a predetermined analysis algorithm to indicate the priority of the zapping advertisement according to the channel, time zone and location A zapping advertisement recommendation data generation unit for generating zapping advertisement recommendation data, and a dashboard management unit generating a dashboard including a graphical user interface (GUI) on which the zapping statistics data and the zapping advertisement recommendation data are displayed. A data analysis platform, wherein the dashboard is connected Is configured to receive any one of the predetermined analysis algorithms used in the zapping advertisement recommendation data generation unit from the user, the zapping advertisement recommendation data generation unit using the analysis algorithm selected from the user through the dashboard zapping advertisement recommendation data To generate.

In addition, the advertisement information analysis and providing system in the present invention preferably further comprises an audience rating information generation unit for generating the viewer rating information for each channel, time zone and location by analyzing the zapping log data received from the zapping advertisement server.

In addition, in the present invention, the data analysis platform provides an open API (application program interface) to the connected user to receive a self-produced analysis algorithm through the dashboard from the user, the zapping advertisement recommendation data generation unit from the user When the analysis algorithm itself is registered through the board, it is preferable to generate the zapping advertisement recommendation data using the registered analysis algorithm.

In the present invention, the data collection unit is preferably a gateway (gateway) installed in the data movement path of the object to be collected.

In addition, in the present invention, the database unit is pre-set and stored a mapping table matching a different weight to the statistics of the first category list, any one of the preset analysis algorithms to search the mapping table to search for a first category After determining the weights for each of the lists, each weight determined by multiplying the corresponding association information of the first category information of the zapping advertisement and then multiplying the multiplied values and determining the priority according to the size of the summed values of the zapping advertisements It is preferable.

In the present invention, the dashboard management unit dashboard for displaying the viewership information, the zapping statistics data and the zapping advertisement data generated by the viewership information generation unit, the zapping statistical data generation unit and the zapping advertisement recommendation data generation unit The generated dashboard includes an input field for receiving any one of preset exhibition methods from a user, and the dashboard manager is configured to analyze the data according to the exhibition method input through the generated dashboard. It is desirable to exhibit.

In addition, in the present invention, the preset exhibition methods may include at least one of a 'bar chart', a 'line chart', a pie chart, and a 'table'. .

In addition, in the present invention, the generated dashboard includes an input field for inputting an input format and an output format for the analyzed data from a connected user, and the dashboard manager is an input format through the input field of the generated dashboard. And when the output format is input, the user connected among 'bar chart', 'line chart', pie chart 'and' table 'according to the input input format and output format. It is preferable to display the analyzed data with any one selected from.

In addition, in the present invention, the generated dashboard includes an exhibition method list in which the list of preset exhibition methods is displayed, and display windows in which sample graphs representing each of the exhibition methods are displayed. When any one of the lists is dragged in the clicked state, it is preferable to determine that the dragged exhibition method is input from the user.

In the present invention, the generated dashboard includes an input format list in which the list of input formats is displayed, and an output format list in which the list of output formats is displayed, and the input format list or output format list from a connected user. If any one of the display graphs is dragged to the input format column or output format column of any one of the sample graphs of the display windows, the input format or output format of the display method is input to the dragged input format or output format. It is preferable to judge.

In the present invention, when the preset display methods are 'bar chart', 'line chart', and pie chart ', the input format column is' X' axis, and the output format column is' Y '. It is preferable to set the 'axis.

According to the present invention having the above problems and solutions, the data analysis platform zaps data transmitted and received by the digital receiver from the first gateway and external data transmitted and received by the external collection target servers from the second gateways from the zapping advertisement server. Receives log data and analyzes them to generate viewership information, zapping statistics data, and zapping advertisement recommendation data, and generates dashboards about them to provide users with access to maximize the efficiency of the advertisements while at the same time convenience and analysis Can significantly increase the reliability.

In addition, according to the present invention, when the data analysis platform generates the zapping advertisement recommendation data, any one of a plurality of preset analysis algorithms is selected by the user or an open API (application program interface) is provided for the self analysis produced by the user. It is possible to significantly increase the reliability and accuracy of the analysis by analyzing the collected data by using the selected or registered analysis algorithm registered with the algorithm.

In addition, according to the present invention, the data analysis platform is configured to display audience rating information, zapping statistical data and zapping advertisement recommendation data through the dashboard, but the exhibition items and exhibition methods are determined according to the user's (user's) selection, exhibition efficiency and information display Increase calendar

1 is a configuration diagram illustrating a zapping data providing system disclosed in Korean Patent No. 10-1273891 (name of the invention: a zapping data providing system, a providing method and a recording medium for the method).

2 is a block diagram illustrating a system for analyzing and providing zapping advertisements according to an embodiment of the present invention.

3 is an exemplary diagram for describing FIG. 2.

4 is a block diagram illustrating a second gateway of FIG. 2.

5 is a block diagram illustrating a data analysis platform of FIG. 2,

6 is a block diagram illustrating a dashboard manager of FIG. 4.

FIG. 7 is an exemplary diagram for describing a graphical user interface of a dashboard generated by the dashboard manager of FIG. 6.

8 is another embodiment of FIG. 7.

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

2 is a block diagram illustrating a system for analyzing and providing zapping advertisements according to an embodiment of the present invention, and FIG. 3 is an exemplary view for explaining FIG. 2.

The zapping advertisement analysis and providing system 1 of FIGS. 2 and 3 includes a digital receiver 6, a broadcast content server 9-1, ..., (9-N), a zapping advertisement server 8, and a collection. Target server 7-1, ..., (7-N), first gateway 4, second gateway 5-1, ..., (5-N), data analysis platform ( 3) and a communication network 11. At this time, for the convenience of description, the digital receiver 6 has been described as an example, but the quantity of the digital receiver 6 is not limited thereto, and it is natural that a plurality of the receivers may be provided.

In addition, in the present invention, for convenience of description, the zapping advertisement server 8 and the data analysis platform 3 are described as being separately configured, but the data analysis platform 3 is included in the zapping advertisement server 8 for the zapping advertisement. The server 8 may be configured to perform the operations and functions of the data analysis platform 3.

The communication network 11 includes a digital receiver 6, a broadcast content server 9-1, ..., (9-N), a zapping advertisement server 8, a gateway 4, 5-1,. .., (5-N) and a data movement path between the data analysis platform (3), specifically, cable, local area network (LAN), wide area network (WAN), mobile communication network, 3G LTE network, It is preferable that the network is based on IP such as 4G network.

The broadcast content servers 9-1, ..., (9-N) are servers for producing and editing broadcast content and providing the same, and specifically, terrestrial, satellite, cable broadcasting stations and Internet broadcast station or the like.

In addition, each of the broadcast content servers 9-1, ..., (9-N) is assigned a broadcast channel, and corresponding broadcast content is allocated according to a time zone and a channel of a preset program schedule (EPG). It transmits its channel to the requested digital receiver (6).

The digital receiver 6 has a communication interface that can be connected to the communication network 11, and receives from one of the broadcast content servers 9-1, ..., (9-N) through the communication network 11. The broadcast content is decoded and converted to suit the signal method of the display means such as a TV monitor, and then the converted broadcast content is displayed through the display means.

The digital receiver 6 also includes a set-top box for receiving terrestrial, satellite or cable broadcasts, a TV with built-in set-top box functionality, an Internet-based IPTV, and digital multimedia broadcasting (DMB) or digital video broadcasting-handheld (DVB-H). ) It may be configured as a digital device such as a mobile phone, a smart phone, a notebook, a tablet PC, a personal multimedia player (PMP), a navigation, and the like, having a receiving module.

In addition, when receiving a channel change request from the user, the digital receiver 6 transmits the broadcast request data to the broadcast content server of the channel to be changed among the broadcast content servers 9-1, ..., (9-N), When the broadcast content is received from the broadcast content server 9, the signal of the received broadcast content is decoded and converted again and displayed on the display means.

In this case, when a viewer changes a channel, a zapping advertisement provided from the zapping advertisement server 8 is displayed on the display unit during a zapping time, which is a time point when the viewer changes from the current channel to the next channel.

In addition, the digital receiver 6 transmits the channel change data including the information of the channel to be changed to the zapping advertisement server 8 when the channel change request is received from the user, and receives the zapping advertisement content from the zapping advertisement server 8. Display through the display means.

The zapping advertisement server 8 stores pre-made zapping advertisement contents. In this case, each of the zapping advertisement contents is matched and stored according to a channel (a change target) and a time zone. Hereinafter, the zapping advertisement contents matched by a channel and a time zone will be referred to as a zapping advertisement schedule. That is, when the zapping advertisement server 8 receives the channel change data from the digital receiver 6, the zapping advertisement corresponding to the current time and the information of the channel to be changed included in the received channel change data are searched through the preset zapping advertisement schedule. By extracting the content and transmitting it to the digital receiver 6, the digital receiver 6 can display the zapping advertisement received from the zapping advertisement server 8 through the display means during the zapping time during which the channel is changed.

In this case, the zapping advertisement content may be composed of a video, an image, a sound, a text, a logo, and the like, and in detail, is defined as information related to a channel to be changed or a broadcaster, a broadcast content of a channel to be changed, a specific company, a specific product, a specific service, and the like. do. For example, the zapping advertisement content may include information about broadcasting content that is currently being broadcast or scheduled to be broadcasted, representative channel information, and the like. The logo, product image, address, telephone number, website URL, etc. of a specific product or service provider may be included. It may include.

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

In addition, the first category information of the zapping log data is set by an administrator.

The servers (7-1), ..., (7-N) to collect are servers that provide external data, and in detail, social network services, portal sites, soft switches, search engines and servers. And the like. At this time, the external data is defined as meaningless data including the structured / unstructured data, such external data is utilized as meaningful data by the data analysis platform (3), the meaningful data is set as a category list by the administrator.

For example, when the Meteorological Agency server is applied as a collection target server, the external data may be composed of weather information by location and time zone. When the traffic control center server is applied as a collection target server, the external data is composed of traffic information by location and time zone. In addition, the external data to which the search site is applied to the collection target server may be made of a search keyword.

The first gateway 4 is installed in the data movement path of the digital receiver 6 to collect data transmitted and received from the digital receiver 6, and transmits the collected data to the data analysis platform 3. In this case, for the convenience of description, the gateway is described as being separately installed as the first gateway and the second gateway, but the first gateway and the second gateway are devices having the same configuration.

In addition, the collected data collected by the first gateway 4 includes a channel, broadcast content and time information currently displayed through the display means, and the data analysis platform 3 is collected and transmitted from the first gateway 4. Through the collected data, viewer ratings can be detected. In this case, the present invention has been described as an example of generating viewer rating information by using data collected from the digital receiver 6 for convenience of description, but the viewer rating information uses zapping log data generated by the zapping advertisement server 8. Can be generated.

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

Also, the collected data collected by the second gateways 5-1, ..., (5-N) may include search keywords, weather information, traffic information, metadata information, and the like.

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

In addition, the data analysis platform 3 analyzes the collected data transmitted from the first gateway 4 and the zapping log data transmitted from the zapping advertisement server 8 to generate zapping statistical data. In this case, the zapping statistics data is defined as the number of exposures of the zapping advertisement for each channel, time zone, location, digital receiver, and broadcast content.

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

The data analysis platform 3 also analyzes the zapping log data to detect the second category information. In this case, the second category information is information on each of the preset second category lists, and the second category lists include a time zone, a location, a channel, and the like. For example, the second category information of 'A' zapping advertisement is 'time zone' (13:04 ~ 13:06), 'location' (Myeongdong), 'channel' (channel 23), 'broadcast content' (XXX) It may be made of.

In addition, the data analysis platform 3 uses the analysis algorithm registered by the user or any one selected from among the predetermined analysis algorithms from the collection target servers 8-1, ..., (8-N). The first category information of the collected data, the zapping statistics data, and the zapping log data is analyzed to generate zapping advertisement recommendation data indicating the priority of the zapping advertisement for each time, channel, and location.

For example, when explaining the analysis algorithm, the data analysis platform 3 sets and stores a mapping table whose weight is matched according to the statistics of the first category list in advance, and the analysis algorithm utilizes the mapping table. Zapping advertisement recommendation data representing the priority of the zapping advertisement may be calculated by adding weights to each of the first category lists of the sums. For example, suppose that the first category list of a particular zapping advertisement is 'A' and 'B', the first category information is set to 3 for the 'A' list and 5 for the 'B' list. For example, if the statistic for 'A' list is over 80, it can be given a weight of 10, and if the statistic is 60 to 80, it can be given a weight of 8, multiplying the relevance and weight for each list, Priority can be determined.

In addition, the zapping advertisement recommendation data generated by the data analysis platform 3 is transmitted to the zapping advertisement server 8, the zapping advertisement server 8 utilizes the received zapping advertisement recommendation data to update the zapping advertisement schedule table, Considering both the location and the category list, the most suitable zapping advertisement service can be performed.

In addition, the data analysis platform 3 provides a dashboard (dash), which includes a previously prepared graphic user interface, to the connected user 10 as a web screen, and the user 10 through the dashboard. When requesting zapping statistics data, viewership information, and zapping advertisement recommendation data from the user, the selected items are selected from the user as input items, and the zapping statistics data, viewership information, and zapping advertisement recommendation data are sorted and converted to the web screen. It is provided to the user 10. In other words, the data analysis platform 3 intensively manages functions appropriate for the user 10's decision making and task analysis through the dashboard, and inputs the input items from the user 10 through the dashboard to the variables of the input items. By arranging and converting zapping statistics data, viewership information, and zapping advertisement recommendation data by using them, and displaying them, the user 10 may view the zapping statistics data, viewership information, and zapping advertisement recommendation data in bulk by their desired items. It becomes possible.

In addition, the data analysis platform 3 is configured to provide an open API (application program interface) to the user 10 to register the analysis algorithm produced by the user 10 through a graphical user interface (GUI), When the analysis algorithm is registered by the user 10, the zapping advertisement recommendation data is generated using the registered analysis algorithm.

That is, the data analysis platform 3 of the present invention does not limit data analysis using only fixed analysis algorithms as in the related art, but any one of various analysis algorithms is selected from the user 10 or manufactured by the user 10. The analysis algorithm is registered to be selected or configured to generate the zapping advertisement recommendation data using a registered analysis algorithm, thereby enabling various analysis, thereby increasing the reliability and efficiency of the analysis.

At this time, the graphical user interface (GUI) of the dashboard provided by the data analysis platform (3) is a registration column for registering a self-produced analysis algorithm from the user 10 and a check box for selecting any one of the preset analysis algorithms. By including the user can generate the zapping advertisement recommendation data using the analysis algorithm of his choice. That is, since the external data has various formats and contents as well as the size is infinite, different zapping advertisement recommendation data can be detected according to the analysis algorithm applied, so that the user can select or register the analysis algorithm. It is configured to be able to perform a variety of analysis using the same data can significantly increase the reliability and accuracy of the analysis.

In addition, the data analysis platform 3 provides the zapping statistical data, the viewer rating information, and the zapping advertisement recommendation data to the requesting user through the graphical user interface of the dashboard as a web screen. At this time, the dashboard may receive an input value (input item) and a result value (result item) from the user 10, and according to the input value (input item) and the result value (result item), the zapping statistical data and the audience rating By sorting and converting the information and the zapping advertisement recommendation data, the user 10 may select the item (input value or the result value) that he / she wants to view the zapping advertisement recommendation data from various angles.

4 is a block diagram illustrating a second gateway of FIG. 2.

The second gateway 5 of FIG. 4 collects external data, which is data installed in the data movement paths of the collection target servers 7-1, ..., (7-N), and transmitted / received from them, and periodically The collected external data is transmitted to the data analysis platform (3).

In addition, the second gateway 5 includes a data collector 51 for collecting data transmitted and received from the connected object, and a data converter for converting the data collected by the data collector 51 into a format selected by the user 10. And a data processing unit 55 for asynchronously processing the collected data converted into a single format by the data conversion unit 53, and a communication interface 57 for performing data communication.

In this case, various categories such as 'HTTP', 'FTP', 'POP3', 'SMTP', 'IMAP', and 'DNS' may be applied.

Since the first gateway 4 is installed in the movement path of the digital receiver 6 and collects data transmitted and received from the digital receiver 6 and is configured in the same configuration as the second gateway 5, a detailed description thereof will be omitted. .

5 is a block diagram illustrating a data analysis platform of FIG. 2.

The data analysis platform 3 of FIG. 5 includes a database unit 32 in which data is stored, a communication interface unit 33 for transmitting and receiving data from the outside, and a communication interface unit 33 from the first gateway 4. Analyzing the zapping log data and EPG information received from the zapping advertisement server 8 through the viewer rating information generation unit 34 and the communication interface unit 33 to analyze the received data to generate the audience rating information Multi-vectorization of the zapping statistics data generation unit 35 to generate, the zapping advertisement data generation unit 36 to analyze the zapping log data and external data to generate the zapping advertisement recommendation data, and the zapping statistics data and the zapping advertisement recommendation data The dashboard management unit 37 for visualizing and displaying the dashboard in a desired form by the user 10 and the control targets 32, 33, 35, 36, and 37. Listen Li comprises a controller 31 and to control.

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

In addition, the control unit 31 collects data received from the first gateway 4 and the second gateway 5-1, ..., (5-N) through the communication interface 33, and the zapping advertisement server The zapping log data received from (8) is stored in the database unit 32.

In addition, the controller 31 inputs the collection data received from the first gateway 4 through the communication interface 33 to the viewer rating information generator 34 and the zapping statistical data generator 35.

In addition, the controller 31 inputs the zapping log data received from the zapping advertisement server 8 to the zapping statistics data generating unit 35.

In addition, the control unit 31 is the data collected from the second gateway (5-1), ..., (5-N) via the communication interface unit 33, and generated by the viewer rating information generation unit 34 The audience rating information and the zapping statistics data generated by the zapping statistics data generator 35 are input to the zapping advertisement recommendation data generator 36.

Also, the control unit 31 recommends the zapping advertisement by using one of the preset analysis algorithms selected from the user 10 through the graphical user interface of the dashboard or by selecting the registered analysis algorithm or by using the registered analysis algorithm. The zapping advertisement recommendation data generation unit 36 is controlled to generate data.

The database 32 stores the collected data by fields and temporarily stores them.

In addition, the database unit 32 stores preset analysis algorithms. In this case, various preset analysis algorithms for analyzing data according to the format of the data may be applied to the preset analysis algorithm.

In addition, the database unit 32 stores pre-made graphical user interfaces.

The viewer rating information generation unit 34 utilizes the collected data received from the first gateway 4 through the communication interface 33 and the viewer rating information indicating the viewer rating for each channel, broadcast content, time zone, and location by using preset EPG information. Create At this time, since the configuration and method for generating the viewer rating is a technique commonly used in the viewer rating detection system, a detailed description thereof will be omitted.

Also, in the present invention, the viewer rating information generator 34 generates viewer rating information by using the collected data transmitted from the first gateway 4, that is, the data of the digital receiver 6. Of course, it can be configured to be generated by using the zapping log data generated by the zapping advertisement server (8).

The zapping statistics data generation unit 35 analyzes the zapping log data received from the zapping advertisement server 8 and generates zapping statistics data. In this case, the zapping statistical data is defined as the number of exposures of the zapping advertisement for each channel, time, location, digital receiver, and broadcasting content.

The zapping advertisement recommendation data generation unit 36 uses the second algorithm 5-1, ..., (5-N) by using one of the preset analysis algorithms selected by the user or an analysis algorithm registered by the user. Analyzes the collected data and generated zapping statistics data generated from the) to generate the zapping advertisement recommendation data. At this time, the analysis algorithm is defined as an algorithm for detecting the priority of the zapping advertisement by location, time zone, and channel from the vast data and zapping statistics collected from the collection target servers.

For example, if the 'A' zapping ad is highly associated with a specific region (S), the priority for the 'A' zapping ad in a specific region is increased, and the 'B' zapping ad is associated with a specific weather. If higher, the priority of 'B' zapping ads in specific weather increases, and if 'C' zapping ads are highly related to specific search keywords, the priority of 'C' zapping ads increases as the search of specific search keywords increases. If the 'D' zapping advertisement is highly related to traffic congestion in a specific region, the priority of the 'D' zapping advertisement provided to a specific region increases according to the traffic congestion in the specific region.

That is, the data analysis platform (3) of the present invention detects the association with the zapping advertisement from the meaningless massive data using an analysis algorithm, and then detects the priority of the zapping advertisement according to the detected association to maximize the advertisement efficiency and analyze the same. It is possible to increase the reliability of.

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

The data analysis platform 3 presets and stores a mapping table matched with weights according to the statistics of the first category list, and first category information is stored in the zapping log data.

The analysis algorithm calculates the statistical degree of each of the category lists and then searches the mapping table to detect the weight corresponding to the statistical information. Thereafter, each of the detected weights is multiplied with the correlation information of the corresponding first category information, and then summed.

Also, the analysis algorithm may generate advertisement recommendation data indicating priorities using the sum values. For example, suppose that the first category list of a particular zapping advertisement is 'A' and 'B', the first category information is set to 3 for the 'A' list and 5 for the 'B' list. The analysis algorithm can assign a weight of 10 if the statistic for the 'A' list exceeds 80, a weight of 8 if the statistic is between 60 and 80, multiply the relevance and weight for each list, and multiply them These can be summed to determine the priority.

6 is a block diagram illustrating a dashboard manager of FIG. 4.

The dashboard manager 37 of FIG. 6 calls an operation function according to an input item input in response to a user's request, and analyzes any one of viewer rating information, zapping statistics data, and zapping advertisement recommendation data using the called operation function. A dashboard generation for generating a dashboard that displays a calculation processing module 371 that calculates a (result value), and a dashboard in which a result value calculated by the calculation processing module 371 is displayed according to an input item and a result item input from a client. Module 373.

The graphical user interface 200 of FIG. 7 is a graphical user interface displaying zapping statistical data according to an input item and a result item according to a user's selection.

In addition, the graphical user interface 200 may include a first input field 201 for receiving an input value (input item) from a user, a second input field 201 for receiving a result value (result item) from a user, and an input value for input. And an exhibition column 205 for graphing and displaying zapping statistical data according to the result value.

At this time, the result value (result item) is classified into validity, set-top ID, zapping start channel, zapping start time, zapping end time, zapping time, zapping content, and campaign location.

8 is another embodiment of FIG. 7.

The graphical user interface 300 of FIG. 8 is generated by an algorithm selection column 301 for receiving any one of preset analysis algorithms from the user 10, a registration column 303 for registering its own analysis algorithm, and an analysis algorithm. A definition column 305 is defined to define the data to be.

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

In addition, although not shown in the drawing, the graphical user interface includes an exhibition window displaying any one of viewership information, zapping statistics data, and zapping advertisement recommendation data, and an exhibition method (type) of data displayed through the exhibition window. A list and a list of input / output items for selecting an input / output item are included.

The display list includes at least one or more of various display methods such as' bar chart ',' line chart ', pie chart', 'table' and the like as is known. . At this time, if the client clicks and drags the list of the desired exhibition methods among the exhibition list, the graphical user interface determines that the dragged exhibition method is selected.

The input / output item list receives input / output items and the aforementioned data format. At this time, if the client clicks and drags the desired input item among the input / output item lists, the graphical user interface determines that the dragged display method is selected.

At this time, if any one of the I / O item list is dragged to the X-axis of the above-mentioned exhibition method, the corresponding list is dragged to the X-axis (input value), and one of the I / O item lists is dragged to the Y-axis of the above-mentioned exhibition method. The analysis data is displayed on the Y-axis (result) so that the user can view the analysis data at a glance.

Claims

Collection target servers;

A zapping advertisement server that provides zapping advertisement contents and outputs zapping log data including time information, channel information, location information, and first category information, which is association information for each of the preset first category lists. ;

Data collection unit for collecting the data from the collection target server, the zapping log data from the zapping advertisement server and the zapping log data of the zapping advertisement server by analyzing the zapping indicating the number of exposures by channel, time zone and location of the zapping advertisement Zapping statistical data generating unit for generating statistical data, and the analysis of the data collected from the collection target server and the zapping log data using a predetermined analysis algorithm to indicate the priority of the zapping advertisement according to the channel, time zone and location A zapping advertisement recommendation data generation unit for generating zapping advertisement recommendation data, and a dashboard management unit generating a dashboard including a graphical user interface (GUI) on which the zapping statistics data and the zapping advertisement recommendation data are displayed. Includes a data analysis platform,

The dashboard may be configured to receive one of preset analysis algorithms used in the zapping advertisement recommendation data generation unit from a connected user, and the zapping advertisement recommendation data generation unit may select an analysis algorithm selected from a user through the dashboard. Advertising information analysis and providing system, characterized in that for generating zapping advertisement recommendation data.
The system of claim 1, wherein the advertisement information analysis and providing system

And an audience rating information generation unit analyzing the zapping log data received from the zapping advertisement server to generate viewer rating information for each channel, time zone, and location.
The method of claim 2, wherein the data analysis platform provides an open API (application program interface) to the connected user to register the self-produced analysis algorithm through the dashboard from the user,

The zapping advertisement recommendation data generation unit generates the zapping advertisement recommendation data by using a registered analysis algorithm when the user receives an analysis algorithm through the dashboard.
The system of claim 3, wherein the data collection unit is a gateway installed in a data movement path of a collection target.
The method according to claim 4, wherein the database unit is pre-set and stored a mapping table matched with a different weight to the statistical degree of the first category list,

One of the preset analysis algorithms

After searching the mapping table to determine weights for each of the first category lists, multiply each determined weight by the corresponding association information of the first category information of the zapping advertisement, and then multiply the multiplied values, and add the sum of the zapping advertisements. Advertising information analysis and providing system, characterized in that for determining the priority according to the size of the.
The apparatus of claim 5, wherein the dashboard manager displays the viewer rating information, the zapping statistics data, and the zapping advertisement recommendation data generated by the viewership information generator, the zapping statistics data generator, and the zapping advertisement recommendation data generator. Creates a dashboard for the dashboard, the generated dashboard includes an input field for receiving any one of the preset display methods from the user, the dashboard management unit according to the display method input through the generated dashboard Advertising information analysis and providing system, characterized in that to display the analyzed data.
The display apparatus of claim 6, wherein the preset display methods include at least one of a bar chart, a line chart, a pie chart, and a table. Advertising information analysis and providing system, characterized in that.
The apparatus of claim 7, wherein the generated dashboard includes an input field for receiving an input format and an output format for the analyzed data from a connected user.

The dashboard manager, when the input format and output format is input through the input field of the generated dashboard, according to the input input format and output format, 'bar chart', 'line chart', pie (pie) charts, and 'tables (table)' advertising information analysis and providing system, characterized in that to display the analyzed data to any one selected from the connected users.
The display apparatus of claim 8, wherein the generated dashboard comprises an exhibition method list in which the list of preset exhibition methods is displayed, and display windows in which sample graphs representing each of the exhibition methods are displayed. Advertising information analysis and providing system, characterized in that it is determined that the dragged exhibition method is input from the user when any one of the exhibition method list is dragged in the clicked state.
The apparatus of claim 9, wherein the generated dashboard includes an input format list in which the list of input formats is displayed, and an output format list in which the list of output formats is displayed. When any one of the output format list is clicked and dragged to the input format column or output format column of one of the sample graphs of the display windows, the input format or output format of the display method is the dragged input format or output format. Advertising information analysis and providing system, characterized in that judged as input.
The input format column according to claim 10, wherein the input format column is an 'X' axis when the preset display methods are 'bar chart', 'line chart', and pie chart. Advertising information analysis and providing system, characterized in that is set to the 'Y' axis.