JP2010262508A - Apparatus, method and program for supporting advertising delivery - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an apparatus, method and program for supporting an effective advertising delivery of a plurality of advertisements. <P>SOLUTION: A manuscript delivery pattern generation means 32b generates a plurality of manuscript delivery pattern data in each of which a frame is related to an identifier of advertisement to be delivered to the frame and extracts a manuscript delivery pattern in which a free frame time length related to the frame in free frame data is longer than the total time length of advertisement corresponding to the identifier of the advertisement related to the frame in the manuscript delivery pattern data from the plurality of generated manuscript delivery pattern data. A second effect efficiency trial calculation means 33b calculates the effect efficiency of advertisement about the manuscript delivery pattern data extracted by the manuscript delivery pattern generation means 32b. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an advertisement distribution support apparatus, an advertisement distribution support method, and an advertisement distribution support program that display a digital advertisement on a plurality of display devices.

  With the development of information equipment in recent years, advertisements using digital signage display terminals have become widespread. A large number of digital signage display terminals are installed in urban areas and the like and are expected to become more popular in the future.

  As described in Patent Document 1, the digital signage display terminal is installed in a public space such as outdoors or in a store, and includes a display device such as a liquid crystal display. The digital signage display terminal receives the advertisement data to be displayed under the control of the digital signage control server or the like, and transmits the information by displaying the advertisement data according to a predetermined schedule.

  Depending on the purpose of the advertisement, a specific part of the viewer may be targeted (target viewer). In order to increase the effectiveness and efficiency of the advertisement, it is necessary to place the advertisement to attract more interest from a larger number of target audiences.

  Depending on the digital signage display terminal, the installation location, surrounding environment, and attributes of people (viewers) in the vicinity vary. Even if the same digital signage advertisement is displayed, the influence on the viewer differs depending on the conditions of the digital signage display terminal. Even when displayed on the same digital display terminal, the effectiveness of the advertisement varies depending on the attributes of the product, target, etc. that are the targets of the digital signage advertisement.

  Digital signage advertisements can display moving images unlike street advertising media such as conventional posters. In addition, since the cost associated with changing the advertisement content is small, the advertisement content can be changed frequently, such as displaying different advertisements at different times.

JP 2002-123741 A

  However, in Patent Document 1, although a method for supplying advertisement information in consideration of time and place has been proposed, it is mentioned as a method for creating a plan for placing a plurality of advertisements by combining a number of places and times. Absent.

  Therefore, in order to effectively deliver a plurality of advertisements, it is necessary to make a drafting plan in consideration of factors such as time, place, surrounding environment, and viewer attributes.

  Accordingly, an object of the present invention is to provide an advertisement distribution support apparatus, an advertisement distribution support method, and an advertisement distribution support program that support effective distribution of a plurality of advertisements.

  In order to solve the above problem, a first feature of the present invention relates to an advertisement distribution support apparatus that displays a plurality of advertisements on a display apparatus. That is, the advertisement distribution support apparatus according to the first feature of the present invention includes an advertisement metadata storage unit that stores advertisement metadata in which an advertisement identifier and an advertisement time length are associated with each other in a storage device, and a display device. Empty frame data storage means for storing, in a storage device, empty frame data that associates an identifier, a frame indicating a time zone in which an advertisement is put out on the display device, and an empty frame time length that is a time that can be put out in the frame; A plurality of advertisement identifiers, advertisement placement condition data that associates advertisement placement conditions for each advertisement, storage means for storing advertisement placement condition data storage means, a frame, and an identifier of an advertisement to be placed in the frame A plurality of placement pattern data is generated, and from the generated plurality of placement pattern data, the empty frame time length associated with the frame in the empty frame data is determined in the output pattern data. The advertisement pattern generation means for extracting the advertisement pattern data larger than the total time length of the advertisement corresponding to the advertisement identifier associated with the frame, and the advertisement efficiency of the advertisement pattern data extracted by the advertisement pattern generation means are calculated. And an efficiency calculation means.

  Here, a condition input means for inputting advertisement placement condition data and an output device for displaying the effectiveness efficiency of the advertisement calculated by the effectiveness efficiency calculation means may be further provided. Further, based on the delivery pattern data extracted by the delivery pattern generation means, a delivery instruction input means for inputting the delivery pattern data to be delivered, and a delivery instruction data based on the delivery pattern data to be delivered inputted by the delivery instruction input means. You may provide the delivery plan control means to output, and the communication apparatus which transmits the delivery instruction | indication output by the delivery plan control means to a display apparatus.

  The second feature of the present invention relates to an advertisement distribution support method for displaying a plurality of advertisements on a display device. That is, the advertisement delivery support method according to the second aspect of the present invention includes a step of storing, in a storage device, advertisement metadata in which an advertisement identifier and an advertisement time length are associated, a display device identifier, and a display Storing, in a storage device, empty frame data that associates a frame indicating a time zone in which an advertisement is put out on the device and an empty frame time length that is a time that can be put out in the frame; an identifier of a plurality of advertisements; A plurality of placement pattern data that associates the advertisement placement condition data associated with the placement conditions of each advertisement in the storage device, the frame, and the identifier of the advertisement to be placed in the frame are generated. From the placement pattern data, the free frame time length associated with the frame in the free space data corresponds to the advertisement identifier associated with the frame in the placement pattern data. Extracting total greater advertising pattern data length between about extracted advertising pattern data, and a step of calculating the effect efficiency of the advertisement.

  Here, a step of inputting advertisement placement condition data and a step of displaying the effectiveness efficiency of the advertisement on the output device may be further provided. Furthermore, a step of inputting the distribution pattern data to be distributed from the extracted pattern data to be extracted, a step of outputting a distribution instruction based on the input pattern pattern data to be distributed, and the output of the distribution instruction are displayed. And transmitting to the apparatus.

  Moreover, you may make a computer perform said each step with an advertisement delivery assistance program.

  According to the present invention, it is possible to provide an advertisement distribution support device, an advertisement distribution support method, and an advertisement distribution support program that support effective distribution of a plurality of advertisements.

It is a figure explaining the advertisement delivery support system and advertisement delivery support device concerning the best mode of the present invention. It is a flowchart explaining the outline | summary of a process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is an example of the condition input screen which the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention displays. It is an example of the output screen which the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention displays, and is a screen example in the case of displaying using a graph. It is an example of the output screen which the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention displays, and is a screen example in the case of displaying using a map. It is a figure explaining an example of the data structure and data of place metadata of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining an example of the data structure and data of the vacant frame data of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a flowchart explaining the advertisement placement pattern generation process and the effect efficiency trial calculation process of the advertisement distribution support apparatus according to the best embodiment of the present invention. It is a flowchart explaining the advertisement-vacant frame pair production | generation process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a flowchart explaining the extraction pattern production | generation process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data initialized in the placement pattern production | generation process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data in process in the publishing pattern production | generation process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a flowchart explaining the empty frame work table designation | designated value update process in the placement pattern production | generation process of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining the output data of the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining the flow of the data in the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a figure explaining the effect in the advertisement delivery assistance apparatus which concerns on the best embodiment of this invention. It is a flowchart explaining the advertisement placement pattern generation process and the effect efficiency trial calculation process of the advertisement distribution support apparatus according to the first modification of the present invention. It is a flowchart explaining the advertisement placement pattern production | generation process and the effect efficiency trial calculation process of the advertisement delivery assistance apparatus which concerns on the 2nd modification of this invention.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

  In the best mode of the present invention, the “target audience” is a specific part targeted for the purpose of the advertisement among the audience of many advertisements.

  In the best mode of the present invention, “digital signage” may be referred to as “DS”.

  Further, in the digital signage advertisement, “to place an advertisement” is to specifically display advertisement content such as a moving image on the digital signage display terminal for the purpose of advertisement. The “drafting plan” is a predetermined plan or a plan for displaying a given advertisement on which digital signage display terminal and at which time.

  When submitting to a digital signage display terminal, a drafting plan is made in units called “frames”. The “frame” is a unit of advertisement display specified by the digital signage display terminal and the time zone. Here, of the frames, a frame in which there is still time for placing an advertisement is referred to as an “empty frame”. For example, when the total content time length of an advertisement that has been published is 2400 seconds out of 3600 seconds, the free space time length is 1200 seconds. In the best mode of the present invention, a case where an advertisement is put out in this empty frame will be described.

  “Distribute (advertisement)” refers to distributing advertisement content data to a digital signage display terminal in accordance with a placement plan in order to display the advertisement on the digital signage display terminal. At this time, as will be described later, an advertisement may be distributed to the digital signage display terminal via the digital signage control server.

  The data of the best mode of the present invention may be particularly referred to as “data set” when it has a plurality of records or entries.

(Best Embodiment)
In the best mode of the present invention, in order to distribute data of a plurality of advertisement contents to a plurality of digital signage display terminals, it is determined which advertisement is displayed in which frame as a placement plan.

  At this time, for each of a large number of digital signage display terminals, considering the factors such as installation location, surrounding environment, time, viewer attributes, etc. Multiple patterns). Furthermore, by calculating and presenting information related to the effectiveness / efficiency of advertisements from various viewpoints for these placement patterns, the amount of work in drafting planning for simultaneously controlling the effectiveness / efficiency of multiple advertisements is reduced.

  With reference to FIG. 1, the advertisement delivery assistance apparatus 1 which concerns on the best embodiment of this invention is demonstrated. The advertisement distribution support apparatus 1 is connected to a plurality of digital signage display terminals 2a, 2b,... And a digital signage control server 3 via a communication network 4 such as the Internet.

  The advertisement distribution support apparatus 1 creates publishing plan data for distributing a plurality of advertisements to a plurality of digital signage display terminals 2a, 2b, etc., and transmits them to the digital signage control server 3. The digital signage control server 3 controls the advertisement to be displayed on each digital signage display terminal based on the input publishing plan data. In the example illustrated in FIG. 1, the digital signage display terminal 2a and the like will be described with reference to the case where an advertisement is displayed under the control of the digital signage control server 3, but the advertisement is supported on the digital signage display terminal under the control of the advertisement distribution support apparatus 1. It may be displayed.

  The advertisement distribution support device 1 includes an input device 10, a storage device 20, a processing device 30, a communication device 40, and an output device 50. In the best embodiment of the present invention, as shown in FIG. 1, the input device 10, the storage device 20, the processing device 30, the communication device 40, and the output device 50 are described as being realized in one device. You may implement | achieve by cooperating with a some apparatus via a network according to a processing capability, a processing purpose, etc.

  The input device 10 is a device that accepts external input. The input device 10 is an information acquisition device such as an interface with an external device, an optical reading device, a keyboard, a mouse, or a communication network.

  The storage device 20 is a device that stores input data, data held in advance, and the like. The storage device 20 is configured by a memory, a magnetic disk, or the like, for example. Although FIG. 1 shows that a plurality of data is stored in one storage device, the data may be stored in a plurality of storage devices.

  The processing device 30 is a device that performs numerical calculation, condition determination, device control, and the like. The processing device 30 is, for example, an arithmetic device such as a CPU, a device controller, or the like. The processing device 30 implements each function described below by installing and executing the advertisement distribution support program according to the best mode of the present invention.

  The communication device 40 is a device that controls communication with the communication network 4 such as a LAN port. The communication device 40 distributes advertising content data and a display schedule to the digital signage display terminals 2a and 2b, the digital signage control server 3, and the like through the communication network 4, for example.

  The output device 50 is a device that outputs information to the outside. The output device 50 is, for example, an interface with an external device, a communication network, a display, or the like. In particular, in the best embodiment of the present invention, a case will be described in which the output device 50 is assumed to be a display and various images are displayed in order to present information to the user. Further, the output device 50 is not limited to a display as described in the best embodiment of the present invention. For example, the output device 50 may be realized by mechanically outputting data having equivalent information to an electronic device or the like.

(Outline of ad delivery support method)
With reference to FIG. 2, the outline | summary of the advertisement delivery assistance method by the advertisement delivery assistance apparatus 1 which concerns on the best embodiment of this invention is demonstrated.

  First, in step S101, the condition input unit 11 or the like acquires information necessary for the advertisement distribution support process according to the best embodiment of the present invention. The information acquired here includes advertisement placement condition data that specifies conditions for determining which digital signage display terminal to display the advertisement, output format control data that specifies an output format, and the like.

  When the advertisement placement condition data and the output format control data are input in step S101, the data is processed by the processing device 30.

  Specifically, in step S102, the filtering unit 31 extracts data that does not have the possibility of satisfying the input condition in the subsequent processing. For example, from the location metadata set, the location of the digital signage display terminal is different from the placement region of the geographical attribute of the advertisement placement condition data (for example, the placement location is not included in the placement region), or the location metadata When the attribute of the potential viewer is different from the attribute of the consumer targeted mainly in the advertisement metadata (when specified by a ratio, for example, when it differs by 40% or more, etc.), etc. are extracted.

  In step S102, the filtering unit 31 deletes the place metadata extracted in step S102 from the place metadata set. Further, the filtering unit 31 deletes the empty frame data associated with the location metadata ID of the deleted location metadata from the empty frame data set. Thereby, the place metadata and empty frame data to be processed in step S103 and after can be limited.

  In step S102, the filtering means 31 outputs the place metadata set, the empty space data set, the advertisement metadata set, the advertisement placement condition data set, and the output format control data, which are results limited by the above processing, to the advertisement placement pattern generation means 32. And the process proceeds to S103.

  In step S103, the advertisement effectiveness efficiency calculation means 33 receives the place metadata set, the empty space data set, the advertisement metadata set, the advertisement placement condition data set, and the output format control data, and the place metadata set and the empty space limited in S102. Advertisement placement pattern data is generated using the frame data set. Further, the advertising effectiveness efficiency calculation means 33 calculates the advertising cost, the number of target viewers, and the like that are assumed when an advertisement is placed in each pattern according to the generated advertisement placement pattern data. Further, in step S103, the output data generation unit 34 generates output data based on the result of the trial calculation. The effect efficiency trial calculation process in step S103 will be described in detail later.

  In step S104, the ranking / sorting means 35 obtains the location metadata set, vacant space data set, advertisement metadata set, advertisement placement condition data set, output format control data, placement pattern set, trial calculation as the processing results up to step S103. Receives the result data set and output data, and ranks and sorts the placement pattern data based on the result data set and output data.

  In step S105, the output device 50 includes the location metadata set, empty frame data set, advertisement metadata set, advertisement placement condition data set, output format control information, placement pattern data set, and trial calculation results as processing results up to step S104. The data set, output data, and ranking / sorting result data set are received and output processing is executed.

  In step S106, a user instruction for the result output in step S105 is awaited. In step S106, the input device 20 accepts the following input and branches. This input is realized by clicking the screen on the display screen shown in FIG.

  In step S106, when an instruction to change the publishing condition or the output format is input from the input device 20, the process returns to S101, and the condition input unit 11 receives information according to the newly input publishing condition data or output format control data. get.

  If a distribution reservation or distribution confirmation instruction is input from the input device 20 in step S106, the distribution instruction input means 13 inputs this instruction information to the distribution plan control means 36, and the process proceeds to S107. In step S107, the distribution plan control means 36 performs the location metadata set, vacant space data set, advertisement metadata set, advertisement placement condition data set, output format control data, placement pattern data set, trial calculation result data set, and output. The data set, ranking / sorting result data set, and distribution reservation / confirmation instruction information are received, and distribution reservation or distribution confirmation processing for distributing the designated advertisement content is performed. Here, according to the advertisement distribution pattern obtained by the processing in steps S101 to S105, the drafting plan data for distributing the advertisement is generated. As another embodiment, for example, the communication device 40 is used to communicate with the digital signage control server 3 connected via the communication network, and the digital signage display terminals 2a and 2b and the digital signage control server 3 are instructed to make a reservation for distribution and distribution. Delivery reservation and delivery confirmation processing may be realized by sending information.

  Output device 50 for location metadata set, empty space data set, advertisement metadata set, advertisement placement condition data set, output format control data, placement pattern data set, trial calculation result data set, output data set and ranking / sorting result data set In step S105, the information is displayed on the output device 50 again.

  If an end instruction is input from the input device 20 in step S106, the end instruction input unit 12 ends the process.

  The advertisement distribution support apparatus 1 displays the screens shown in FIGS. 3 to 5 on the output apparatus 50. The screens shown in FIGS. 3 to 5 may be displayed on individual screens. 3 and 4 may be displayed on a single screen, or FIG. 3 and FIG. 5 may be displayed on a single screen so that the input conditions and the output can be displayed in an easily comparable manner.

  FIG. 3 is a condition input screen for the condition input means 11 to acquire advertisement placement condition data. This condition input screen is displayed on the display device of the output device 50 under the control of the processing control device 30 or the like. The condition input screen illustrated in FIG. 3 includes an advertisement information field for an advertisement to be distributed and a matching condition setting field for setting a condition for distributing the advertisement. In the matching condition setting field, the user can input the target viewer attribute, geographical attribute, time zone, detailed condition, target target viewer number, target per-person advertising cost, budget, and the like for which the advertisement is to be shown. Information input on the condition input screen is input to the processing device 30 via the condition input means 11 and processed.

  4 and 5 are output screens for displaying the output data output by the processing device 30 on the display device of the output device 50. FIG. 4 and 5, a plurality of publishing patterns are displayed as publishing plan candidates. In FIGS. 4 and 5, for each placement pattern, information related to the effectiveness of the advertisement, such as the time and place where the advertisement is placed, the number of target viewers, and the advertisement cost, is displayed.

  The advertisement distribution support apparatus 1 according to the best embodiment of the present invention can support various output formats depending on output types specified in advance. The output screens shown in FIGS. 4 and 5 are examples thereof. The example shown in FIG. 4 is an example of an output screen when “Delivery Position (Map)” is designated as the output type. In the example shown in FIG. 4, a symbol is attached to a position on the map corresponding to the placement position. Each symbol may be associated with a size or color according to the advertising effect at that position. For example, by displaying a large symbol at a position where the advertising effect is large, the advertising effect can be expressed visually and easily.

  The example shown in FIG. 5 is an output screen example when “graph” is designated as the output type. In the example shown in FIG. 5, ranking target axis designation information for designating the ranking criteria shown in the drafting plan candidate column is provided. The graph is displayed on the output screen according to the axis specified here. In the example shown in FIG. 5, the horizontal axis represents time, the vertical axis represents the number of persons, and the transition of the target audience number is displayed in a graph for each place.

  Further, data other than the above can be considered as the vertical and horizontal axes of the graph. Examples of items on the vertical axis include the number of target viewers by target attribute, the total number of target viewers for all target attributes, the total advertising cost, the advertising cost per person, and the advertising cost per digital signage display terminal. The number of times of advertisement display can be considered. Examples of items on the horizontal axis include occupation, time, target attribute, location, installation location of a digital signage display terminal, digital signage display terminal ID, and the like.

  In this way, when outputting as a graph, place metadata, ad metadata, vacant space data, ad placement condition data, and any item of the results calculated by the effectiveness efficiency calculation means, the horizontal axis or vertical axis It can be an item.

(Advertisement distribution support device)
Next, an advertisement distribution support apparatus 1 according to the best embodiment of the present invention will be described with reference to FIG.

  The input device 10 includes a condition input unit 11, an end instruction input unit 12, and a distribution instruction input unit 13.

  The condition input means 11 inputs the condition input on the condition input screen shown in FIG. The conditions input to the condition input means 11 are an advertisement placement condition and an output format. The condition input means 11 stores the input placement condition as advertisement placement condition data in the advertisement placement condition storage unit 24 of the storage device 20 and stores the input output format as output format data in the output format storage unit 25. .

  The end instruction input unit 12 inputs an instruction to the processing device 30 when “end” is selected in step S106 of the flowchart shown in FIG. Specifically, when an “end” button is clicked on the output screen shown in FIGS. 4 and 5, the end instruction input means 12 inputs the instruction to the processing device 30.

  The distribution instruction input means 13 inputs the instruction to the processing device 30 when “distribution reservation” or “distribution confirmation” is selected in step S106 of the flowchart shown in FIG. Specifically, when a “reservation” button or a “confirmation” button is clicked on the output screens shown in FIGS. 4 and 5, the distribution instruction instruction input means 13 inputs the instruction to the processing device 30. Generally, the advertisement distribution support apparatus 1 according to the best embodiment of the present invention displays a plurality of output patterns on the output apparatus 50, so that the distribution instruction input unit 13 selects a plurality of output patterns to be displayed. When an instruction to distribute with any one of the output patterns is input, information on the specified output pattern is input to the processing device 30.

  The storage device 20 includes a place metadata storage unit 21, an advertisement metadata storage unit 22, an empty frame data storage unit 23, an advertisement placement condition storage unit 24, and an output format storage unit 25.

  The location metadata storage unit 21 stores location metadata 21a in which the identifiers of the digital signage display terminals 2a, 2b,... Are associated with information related to the surrounding area where the digital signage display terminals 2a, 2b,. This is a storage area.

  For example, as shown in FIG. 6, the location metadata 21a is associated with location metadata ID, digital signage display terminal ID, digital signage display terminal installation location, latitude / longitude, time, audience occupation, age, number of people, and the like. It has been. Here, a set of a plurality of place metadata 21a is referred to as a place metadata set.

  In the example shown in FIG. 6, a case where the location metadata ID and the digital signage display terminal ID are associated with each other in a 1: n relationship when the digital signage display terminals 2a, 2b,. Yes. For example, when a plurality of digital signage display terminals are installed side by side in the same place, the place metadata set has a plurality of records having the same place metadata ID and different digital signage display terminal IDs. In this case, the data such as the number of viewers of each record is the same.

  The “digital signage display terminal installation location” is, for example, an area name of an area where the digital signage display terminal is installed. The installation location of the digital signage display terminal is also used as position information when displaying the trial calculation result on a map as shown in FIG. “Latitude / longitude” is information on the latitude and longitude of the installation location of the digital signage display terminal.

  In the example shown in FIG. 6, the number of viewers of the digital signage display terminal is defined for each time, occupation, and age. Further, the number of viewers may be defined for each gender. Furthermore, the number of viewers may be defined according to a predetermined time axis such as day of the week or month. The number of viewers of the digital signage display terminal is the number of potential viewers, for example, the number of people around the digital signage display terminal.

  In addition to the data items shown in FIG. 6, the location metadata 21a includes the digital signage display terminal peripheral environment type, the digital signage display terminal specifications, the digital signage display terminal peripheral information, digital Information such as owner information of the signage display terminal may be associated. The “peripheral environment type of the digital signage display terminal” is, for example, a downtown area, an office area, a residential area, or the like. “Specifications of the digital signage display terminal” are the screen size and manufacturer of the installed digital signage display terminal. The “peripheral information of the digital signage display terminal” is information on stores around the installation location and information on facilities such as parks and concert halls.

  In the preferred embodiment of the present invention, a case where the location metadata ID and the digital signage display terminal ID are associated with each other in a 1: n relationship will be described. While identifying the signage display terminal, the place where the digital signage display terminal is installed may be identified.

  The advertisement metadata storage unit 22 is a storage area for storing advertisement metadata 22a in which an identifier of an advertisement to be displayed on the digital signage display terminal is associated with information on the advertisement. This advertisement information is associated with at least the time length of the advertisement.

  The advertisement metadata 22a includes, for example, data such as an advertisement metadata ID, advertisement ID, advertisement title, product information, advertiser information, rights information, target audience attribute, content data specification, advertisement plan related information, and advertisement price. Is associated. Other data items may be provided as the advertisement metadata 22a. The advertisement metadata 22a uniquely identifies the advertisement and the content by the advertisement ID. The advertisement metadata ID and the advertisement ID are associated with each other in a 1: n relationship. Here, a set of a plurality of advertisement metadata 22a is referred to as an advertisement metadata set.

  “Product information” includes product categories such as beverages and daily necessities, product names, suggested retail prices, and the like. “Advertiser information” is the name of the company that ordered the advertisement, the name of the creator, and the like. “Right information” is copyright information, owner information, and the like of the advertisement. The “target audience attribute” is the sex, age, occupation, etc. of the audience who wants to show this advertisement. The “content data specification” is a data type of content such as a moving image, a still image, and audio, a time length of the content, and the like. “Advertising plan related information” includes the target target audience acquisition number, scheduled advertisement period, and advertisement area for the digital signage display terminal.

  Further, the advertisement metadata 22a may include advertisement placement condition data described later. By including the advertisement placement condition data in the advertisement metadata 22a, particularly when the advertisement placement condition data is designated for a plurality of advertisements, it is possible to suppress the complexity of the work of designating the advertisement placement condition data using a GUI or the like. Can do. Furthermore, the advertisement conditions to be placed may be specified by using both the advertisement placement condition data included in the advertisement metadata 22a and the advertisement placement condition data specified by the GUI or the like. Specifically, it is possible to specify that posting in the downtown area is paired in the advertisement metadata 22a, and to specify posting in the vicinity of Ginza as the advertisement posting condition data.

  The vacant frame data storage unit 23 associates an identifier of a digital signage display terminal, a frame indicating a time zone for placing an advertisement on the digital signage display terminal, and a vacant frame time length that is a time that can be advertised in the frame. This is a storage area for storing frame data 23a. In general, in the vacant frame data 23a, a plurality of vacant frame time lengths are associated with the identifier and frame of the digital signage display terminal as keys.

  As shown in FIG. 7, the empty frame data 23a includes an empty frame data ID for identifying an empty frame, a digital signage display terminal ID of a digital signage display terminal having the empty frame, and location metadata having this digital signage display terminal ID. Are associated with the location metadata ID, the start date and time of the frame, the end date and time of the frame, the publication fee when an advertisement is placed in this frame, the free frame time length of this frame, and the like.

  The “vacant frame data ID” is an identifier corresponding to the identifier and the frame of the digital signage display terminal, and the empty frame data ID and one empty frame time length are associated with each other at 1: 1. The “vacant frame time length” is a time obtained by subtracting the time when the advertisement has already been decided from the time of the frame, and the advertisement distribution support apparatus 1 according to the best embodiment of the present invention can place the advertisement. It's time. In the example shown in FIG. 7, only the time is described, but the vacant frame data can be defined in various time units such as days, weeks, and months. Here, a set of a plurality of empty frame data 23a is referred to as an empty frame metadata set.

  As shown in FIG. 6, the vacant frame data 23a is identified by the digital signage display terminal ID, the location metadata ID, and the date and time.

  Furthermore, owner information, seller information, recommended advertisement product category, prohibited advertisement product category information, and the like of the frame may be associated as the empty frame data 23a.

  The advertisement placement condition storage unit 24 is a storage area for storing advertisement placement condition data 24a, which is a placement condition for advertisements targeted for distribution support in the preferred embodiment of the present invention. Here, a set of a plurality of advertisement placement condition data 24a is referred to as an advertisement placement condition data set. The advertisement placement condition data 24a may be stored in the storage device 20 by the condition input means 11 acquiring the data input on the condition input screen as shown in FIG. May be.

  In the advertisement placement condition data 24a, advertisement information of a target advertisement is associated with a matching condition for determining a digital signage display terminal that places the advertisement. Here, “advertisement information” is data corresponding to the data of the advertisement metadata 22a, such as an advertisement metadata ID, an advertisement ID, an advertisement title, an advertiser name, and a product category. In addition, the “matching” condition is a condition that the advertisement is desired to be placed, and a condition that serves as an index for calculating the effectiveness and efficiency of the advertisement. Specifically, it includes a viewer attribute, a geographical attribute, a time zone, detailed information, a target target viewer number, a target advertising cost per person, a budget, and the like. In addition, the number of times an advertisement has been placed, the priority, and the like may be associated as matching conditions.

  The “viewer attribute” is an attribute that identifies the target viewer. This attribute is, for example, sex and age such as Kids, Teen, M1, F1, M2, F2, M3, and F3, and occupations such as office workers, students, and housewives. “Kids” is under 12 years old, “Teen” is 13-19 years old, “M” is male, “F” is female, “1”, “2”, “3” are 20-35 years old, 35 Suppose that it represents -50 years old and 50 years old or older. When the advertisement placement condition data 24a is input via the condition input screen as shown in FIG. 3, the presence / absence of selection may be specified for each target layer using a check box as shown in FIG. A target layer ratio may be specified.

  The “geographic attribute” is a placement area, surrounding facilities, and the like. The “time zone” is a period, a time zone, etc. in which an advertisement is put out. When the advertisement placement condition data 24a is input via the condition input screen as shown in FIG. 3, the presence / absence of selection may be specified for each time period using a check box as shown in FIG. For example, the ratio (ratio) of the time zone in which the advertisement is put out may be specified.

  “Detailed conditions” are used to set complicated conditions that are not covered by other condition settings. The setting of the condition may be selected from a group of conditions created and held in advance, or a new condition may be created. For example, the detailed conditions are a target minimum target viewer number per digital signage display terminal, a target target viewer total number, and the like. The detailed conditions are preferably described in a script format.

  Conditions that limit the placement of ads, such as target advertising costs per person and budget, are also included in the matching conditions. In addition, the target target audience number, the target advertising cost per person, the budget, and the like may be displayed at the time of outputting the plan.

  A certain item in the advertisement placement condition data may be different from the corresponding item of the advertisement metadata having the same advertisement metadata ID as the advertisement metadata ID of the advertisement placement condition data. In that case, for example, it is good also as using the item of advertisement placement condition data preferentially. In addition, when the advertisement metadata having the same advertisement metadata ID as the advertisement metadata ID of the advertisement placement condition data is included in the information data that the advertisement placement condition data does not have, the data may be used. Thus, the advertisement placement condition data 24a related to a plurality of advertisement IDs may be shared via the advertisement metadata ID.

  The output format storage unit 25 is a storage area for storing output format data 25a specifying the display format of the effect efficiency of each placement pattern output by the advertisement distribution support apparatus 1 according to the best embodiment of the present invention.

  The output format data 25a is data specifying a display pattern such as a pattern displayed using a map as shown in FIG. 4 or a pattern displayed using a graph as shown in FIG. As shown in FIGS. 4 and 5, the output format data 25a may further specify template data for displaying the publishing pattern data to be the publishing plan candidates and the calculation result.

  The advertisement placement condition data 24a and the output format data 25a may be generated for each advertisement included in the advertisement placement condition data, or may be generated comprehensively for a plurality of advertisements. These pieces of information may be input via the condition input unit 11 of the input device 10 as described separately. Further, some or all of the advertisement placement condition data set and output format data are stored in advance in each storage device 20, and may be input by reading them. In that case, it may not be stored in the storage device 20 again.

  In the example shown in FIG. 1, the case where the advertisement placement condition data set and the output format data are stored in the placement condition storage unit 24 and the output format storage unit 25 has been described. A case where the data is not stored in the unit 25 is also conceivable. In this case, the information input from the condition input unit 21 may not be stored in the storage device 20, but the input data may be stored in a temporary storage device or the like and read by the processing device 30.

  Next, the processing device 30 will be described. The processing device 30 includes a filtering unit 31, an advertisement placement pattern generation unit 32, an advertisement effectiveness efficiency calculation unit 33, an output data generation unit 34, a ranking sorting unit 35, a distribution plan control unit 36, and an unconditional placement pattern exclusion unit 37.

  The filtering means 31 extracts data that does not conform to the advertisement placement condition data 24a and the output format data 25a from the place metadata stored in the place metadata storage unit 21 and the empty frame data stored in the empty frame data storage unit 23. Then, place metadata and vacant frame data matching the advertisement placement condition data 24a and the output format data 25a are input to the advertisement placement pattern generation means 32b. The filtering means 31 corresponds to step S102 in FIG.

  The filtering unit 31 reads out the location metadata set from the location metadata storage unit 21 of the storage device 20, the advertisement metadata set from the advertisement metadata storage unit 22, and the empty frame data set from the empty frame data storage unit 23, respectively. The placement condition data 24a and the output format data 25a are acquired. The advertisement placement condition data 24 a and the output format data 25 a may be read from the storage device 20 or acquired by the condition input unit 11.

  The filtering means 31 extracts the advertisement metadata 22a associated with the advertisement specified by the advertisement placement condition data 24a from the advertisement metadata set. Further, the filtering means 31 satisfies the condition designated in the advertisement placement condition data 24a from the place metadata set in the place metadata storage unit 21 when the place where the advertisement is placed is designated in the advertisement placement condition data 24a. Extract no location metadata. Further, the location metadata that does not satisfy the condition indicated by the output format data 25a of the output format storage unit 25 is extracted and deleted.

  Further, the filtering means 31 determines that there is no overlap between the placement time zone of the advertisement placement condition data 24a and the time zone indicated by the frame start time and the frame end time of the free space data from the free space data set, Empty frame data such as the length of the time slot indicated by the frame start time and frame end time of the empty frame data is shorter than the display time length, and the empty frame data extracted from the empty frame data set is deleted.

  The place metadata and vacant frame data extracted by the filtering unit 31 are data having items that do not have the possibility of satisfying the above-described conditions even when a publishing pattern is generated as a subsequent process. By deleting the data that does not have the possibility of satisfying the condition by the filtering unit 31, the subsequent advertisement placement pattern generating unit 32 can efficiently process the data.

  Here, with reference to FIG. 8, the process of step S103 of FIG. 2 will be described in detail. Each process in FIG. 8 is executed by the advertisement placement pattern generation means 32, the advertisement effectiveness efficiency calculation means 33, the output data generation means 34, and the extra-condition placement pattern exclusion means 37.

  The advertisement placement pattern generation means 32 includes an advertisement-vacant frame pair generation means 32a and a placement pattern generation means 32b. The advertisement effect efficiency trial calculation means 33 includes a first effect efficiency trial calculation means 33a and a second effect efficiency trial calculation means 33b. The condition-exit pattern removal means 37 includes a first condition-exit pattern removal means 37a and a second condition-exclusion pattern exclusion means 37b.

  The effect efficiency trial calculation process by the advertisement placement pattern generation means 32, the advertisement effect efficiency trial calculation means 33, the output data generation means 34, and the unconditional placement pattern exclusion means 37 will be described with reference to FIG.

  First, in step S <b> 201, the advertisement-free frame pair generation unit 32 a generates an advertisement-free frame pair for the data filtered by the filtering unit 31. Further, for each of the advertisement-vacant frame pairs generated in step S201, in step S202, the first effect efficiency calculation means 33a calculates the effect efficiency. Here, the first out-of-conditions pattern removal unit 37a may delete data that does not meet the conditions from the advertisement-empty frame pair generated in step S201.

  Further, in step S203, the submission pattern generation unit 32b generates submission pattern data for the processing result in step S202. The placement pattern data is data of a combination of identifiers of all advertisements to be distributed and designated in the advertisement placement condition data 24a and identifiers of vacant frames. Placement pattern data is generated so that all the advertisements targeted for advertisement delivery are placed without duplication as many times as the number of placements specified in the advertisement placement condition data 24a. Further, in step S204, the second efficiency calculation means 33b calculates the efficiency for all the placement pattern data generated in step S203. Here, the second out-of-conditions pattern removal unit 37b may delete data that does not meet the conditions from the pattern data generated in step S204.

  In step S205, the output data generation unit 34 generates output data for the processing result in step S204. Here, the output data generation means 34 calculates numerical values and coordinates necessary for generating images, graphs, and the like, which are data necessary for displaying the screens shown in FIGS.

  The processing order shown in FIG. 8 is an example, and processing may be performed in any order as long as similar calculation is possible. For example, in FIG. 8, after all the advertisement-vacant frame pairs are generated, the efficiency effect is calculated for each advertisement-vacant frame pair. You may do it.

  Each process of the advertisement placement pattern generation means 32, the advertisement effectiveness efficiency calculation means 33, the output data generation means 34, and the unconditional placement pattern exclusion means 37 will be described.

  The advertisement-vacancy generating unit 32a associates the ID of the vacant frame data with the advertisement metadata IDs of a plurality of advertisements specified by the advertisement placement condition data 24a for the data filtered by the filtering unit 31. Generate data of advertisement-vacant frame pairs. The advertisement-vacant frame pair generation means 32a is created from any one of the advertisement metadata specified by the advertisement placement condition data 24a and any one empty frame in the empty frame data set of the empty frame data storage unit 23. Generate all possible combinations. The combination of the advertisement metadata and the empty frame data generated here is referred to as “advertisement-free frame pair”. The advertisement-vacant frame pair is data in which an advertisement identifier and an empty frame identifier are associated with each other.

  For example, the number of advertisement metadata specified by the advertisement placement condition data 24a is Nc, and each of them is C (1) to C (Nc). On the other hand, the number of empty frames is Ne, and each of them is E (1) to E (Ne). At this time, the advertisement-vacant frame generating means 32a generates Nc × Ne advertisement-vacant frame pairs. The advertisement-vacant frame pairs generated here are expressed as T (1) to T (Nc × Ne). The advertisement-vacant frame pair data is associated with the advertisement metadata ID and the empty frame metadata ID of the advertisement metadata specified by the advertisement placement condition data 24a. The advertisement-vacancy pair data may further be associated with related advertisement placement condition information, which is advertisement placement condition information specifying the advertisement metadata.

  With reference to FIG. 9, the advertisement-vacant frame pair generation processing by the advertisement-vacant frame pair generation unit 32a will be described.

  First, the advertisement-vacant frame pair generation unit 32a sets 1 to the variable i in step S301 and sets 1 to the variable j in step S302. Here, the variable i is a loop variable for the advertisement and takes a value from 1 to Nc. A variable j is a loop variable for an empty frame and takes a value from 1 to Ne.

  In step S303, the advertisement-vacant frame pair generation unit 32a generates an advertisement empty frame pair T (i * Ne + j) in which the i-th advertisement C (i) and the j-th empty frame E (j) are associated with each other. To do. Thereafter, the advertisement-vacant frame pair generation unit 32a increments j in step S304 and determines whether j is less than or equal to Ne in step S305. If j is less than or equal to Ne, the process returns to step S303. The processes of step S303 and step S304 are repeated.

  If j exceeds Ne in step S305, i is incremented in step S306, and it is determined in step S307 whether i is Nc or less. If i is Nc or less, the process returns to step S302. , Steps S302 through S306 are repeated.

  In step S307, if i exceeds Nc, the advertisement-vacant frame pair generation unit 32a ends the process.

  The data of all advertisement-vacant frame pairs generated by the advertisement-vacant frame pair generating unit 32a in the process shown in FIG. 9 is processed by the first effect efficiency trial calculating unit 33a.

  The first effect efficiency trial calculation means 33a calculates the effect efficiency when the advertisement is placed in the empty space for each data of the advertisement-free space pair generated by the advertisement-free space generation means 32a. As the effect of the advertisement, the impact given by the advertisement, such as the number of viewers of the advertisement and the number of target viewers, can be considered. Further, as the efficiency of the advertisement, the cost for the impact of the advertisement, such as the advertisement cost per viewer, can be considered.

  Here, the effective efficiency calculated by the first effective efficiency trial calculation means 33a may be the number of target viewers, the placement fee per target viewer, the geographical and map position of the digital signage display terminal, and the like.

  The “number of target viewers” is the number of viewers for the place metadata ID associated with the vacant frame ID in the vacant frame data 23a. At this time, when the attribute of the target viewer is specified in the advertisement placement condition data 24a, the number of viewers with the attribute specified in the advertisement placement condition data 24a is output as the target viewer number. When a plurality of attributes are specified in the advertisement placement condition data 24a, the total number of viewers of each attribute is output as the target viewer number. The “posting fee per target viewer” is an amount obtained by dividing the posting fee associated with the empty frame by the number of target viewers in the empty frame data 23a. “Geographic and map location of digital signage display terminal” is the data of the digital signage display terminal installation location acquired from the location metadata 21 for the digital signage display terminal ID associated with the empty frame ID.

  Since the advertisement ID specified in the advertisement placement condition data 24a and the target viewer attribute specified for the advertisement metadata ID corresponding to the advertisement ID are different, even if the advertisement is placed in the same empty space, the advertisement or Depending on the advertisement metadata, the effectiveness of the advertisement varies.

  The effect efficiency calculated by the first effect efficiency trial calculation means 33a is input to the first out-of-conditions pattern removal means 37a.

  The first out-of-conditions pattern removal unit 37a includes the efficiency of each advertisement-vacant frame pair calculated by the first effectiveness / efficiency calculation unit 33a, the advertisement metadata specified in the advertisement placement condition data 24a, and the matching condition. Then, the conditions specified in the output format control data are compared, and the advertisement-vacant frame pairs that do not satisfy the conditions are extracted and deleted. For example, the first unconditional placement pattern exclusion unit 37a, when the target viewer number calculation result does not satisfy the target minimum target number of viewers per digital signage display terminal specified in the advertisement placement condition data 24a, The advertisement-vacant frame pair data is deleted from the advertisement-vacant frame pair data input from the advertisement-vacant frame pair generation data 32a.

  The first effectiveness efficiency estimation means 33a includes the data of the advertisement-vacant frame pair that has not been excluded by the first extra-external placement pattern exclusion means 37a, and the efficiency efficiency calculated by the first efficiency efficiency estimation means 33a. The trial calculation result data is input to the publishing pattern generation unit 32b in association with the trial calculation result data. Here, the advertisement-empty frame pair data output from the first effect efficiency estimation means 33a may be a data set composed of a plurality of data.

  The placement pattern generation means 32b generates a plurality of placement patterns in which the frame of each digital signage display terminal is associated with the identifier of the advertisement to be placed in the frame. Further, the publishing pattern generation means 32b, based on the generated plurality of publishing patterns, the vacant frame time length associated with the frame in the vacant frame data corresponds to the advertisement time corresponding to the identifier of the advertisement associated with the frame in the publishing pattern. Extract placement patterns that are greater than the total length. Here, when a plurality of frames are associated with the placement pattern data, a placement pattern in which the empty frame time length is larger than the total time length of the advertisement is extracted for all the frames in one placement pattern data.

  Here, if the total time length of the advertisement associated with the frame of the placement pattern data is equal to or greater than the free space time length, the ad will be delivered exceeding the free space limit, so the digital signage display The device cannot display all advertisements within the time frame of the window. Accordingly, the placement pattern generation means 32b deletes the placement pattern data when the free frame time length is greater than the total of the advertisement time lengths for all of the plurality of frames in one placement pattern data.

  Particularly in the best mode of the present invention, the publishing pattern generation means 32b receives the advertisement-vacancy pair data set, the advertisement metadata set, and the vacancy data set input from the first effect efficiency estimation means 33a. All the advertisements specified in the advertisement placement condition data 24a in the empty space included in the empty space data set by the number of times specified in the advertisement placement condition data 24a without overlapping each other. Generate a combination. The individual combinations generated here are referred to as “posting pattern data”, and the set is referred to as “posting pattern data set”. The publishing pattern data set generated by the publishing pattern generation unit 32b is input to the second effect efficiency trial calculation unit 33b.

  Here, “putting out without duplication” means a display period in which display times are not duplicated or different so that a plurality of advertisements are not put out at a predetermined timing of a predetermined digital signage display terminal. Displaying an advertisement on a display terminal. A remnant frame may be long enough to display multiple ads, so if you place multiple ads in that remnant frame, it means that there is no overlap in the time to display the ad . Specifically, when two 15-second advertisements are put out on a digital signage display terminal, the first advertisement is put out at 12:00:00 and the second advertisement is started at 12:00:00. It is not possible to publish a URL because it causes duplication of the publication time. Therefore, it is possible to eliminate such a duplicated pattern by generating a pattern that is printed without overlapping each other.

  Next, with reference to FIG. 10, the process of the placement pattern generation unit 32b will be described.

  First, in step S401, the submission pattern generation means 32b generates and initializes an advertisement work table and a submission pattern data set on the memory.

  As shown in FIG. 11A, the advertisement work table is associated with the advertisement metadata ID, the content time length, and the vacant frame work table specification value using the advertisement work table serial number as a key. In the advertisement work table, entries corresponding to the number of advertisement placements are provided for each advertisement specified in the advertisement placement condition data 24a. Therefore, the advertisement work table serial number is a number from 1 to the total number of advertisements for each advertisement. The advertisement metadata ID is an advertisement metadata ID specified in the advertisement placement condition data 24a. The content time length is the time length of the advertisement content corresponding to the advertisement metadata ID, and is acquired from the advertisement metadata 22a. The empty frame work table designation value is a numerical value for associating an advertisement with an empty frame in which the advertisement is put out, and indicates one of the empty frame work table serial numbers.

  In the example shown in FIG. 11A, in the advertisement placement condition data 24a, the advertisement metadata ID “AD001” is advertised three times, the advertisement metadata ID “AD002” is advertised twice, and so on. Are listed. Here, in the advertisement metadata 22a, the content time length of the advertisement metadata ID “AD001” is associated with 15 seconds, and the content time length of the advertisement metadata ID “AD002” is associated with 30 seconds. In step S401, when the publishing pattern generation unit 32b initializes the advertisement work table, the empty frame work table designation value of each entry is set to “1”.

  The output pattern data set, which is the output of the output pattern generation means 32b, is initialized in step S401 prior to the output pattern generation process.

  In step S402, the publishing pattern generation unit 32b generates an empty frame work table on the memory and initializes it.

  As shown in FIG. 11B, the vacant frame work table is associated with the vacant frame data ID, the vacant frame time length, and the placement advertisement ID using the vacant frame work table serial number as a key. In the empty frame work table, entries corresponding to the number of input empty frame data are provided. Accordingly, the empty frame work table serial number is a number from 1 to the number of empty frame data. The empty frame data ID is each empty frame data ID of the input empty frame data set. The free frame time length is a free frame time length corresponding to the free frame data ID, and corresponds to the free frame time length shown in FIG. When the submission pattern generation means 32b initializes the empty frame work table in step S402, a null value is set for the submission advertisement ID of each entry.

  Next, in step S403, the publishing pattern generation unit 32b adds up the time length of the contents for each empty frame work table serial number designation value of the advertisement work table. For example, in the example shown in FIG. 11A, an entry whose empty frame work table serial number designation value is “1” is extracted, and the content time length of each entry is added. This process is repeated for each empty frame work table serial number designation value of the advertisement work table.

  In step S404, the total of the content time length of the empty frame work table specified value calculated in step S403 and the empty frame corresponding to the empty frame work table serial number specified value among the entries of the empty frame work table. The time length is compared to determine whether there is an empty frame work table serial number in which the total content time length exceeds the empty frame time length. In the example shown in FIG. 11, in the advertisement work table, it corresponds to the total content time length of the empty frame work table specified value “1” and the empty frame work table serial number “1” of the empty frame work table. The free frame time length “3600” seconds is compared. Compare all the empty frame work table specified values, and if the total content time length is longer than the empty frame time length, the correspondence between the advertisement specified in the current advertising work table and the empty frame is duplicated. This is a published article. Therefore, the publishing pattern generation means 32b does not output this pattern as publishing pattern data. The submission pattern generation means 32b proceeds to step S407, updates the empty frame work table designation value, and examines a new pattern. This update process will be described in detail later with reference to FIG.

  In step S404, for all the specified values in the empty frame work table, the total content time length corresponding to the empty frame work table specified value is the empty frame corresponding to the empty frame work table serial number of the empty frame work table. If it is less than the length of time, there are no duplicates for this pattern. Therefore, in step S405, the submitted pattern set is compared with the current published pattern, and it is determined whether or not equivalent published pattern data is already included in the created published pattern data set.

  Here, for example, the following method can be considered to verify whether or not an equivalent placement pattern is included in the placement pattern set.

  As shown in FIG. 12, with respect to all the advertisement work table entries in FIG. 12A, the advertisement metadata ID of the entry and the value indicated by the empty frame work table specified value are used as the empty frame work table serial number. Is added to the placement advertisement ID of the entry in the empty frame work table. As a result, as shown in FIG. 12B, new placement pattern data in which the vacant frame data ID and the placement advertisement ID are associated can be generated.

  Here, for each entry in the empty frame work table, the advertisement IDs are sorted in, for example, alphabetical order, and the advertisement pattern data is compared with the advertisement pattern data set that already exists in the advertisement pattern data set. If any of the placement patterns in the placement pattern data set and the newly created placement pattern data have the same correspondence between the empty space data ID and the placement advertisement ID, the equivalent placement pattern data has already been placed in the placement pattern data set. In step S407, the empty frame work table designation value is updated to examine new pattern data.

  In step S406, if the equivalent placement pattern data is not yet included in the placement pattern data set, the placement pattern data is added to the placement pattern data set in step S406. The publishing pattern data is data in which the vacant frame data ID of each entry in the vacant frame work table is associated with the advertised advertisement ID.

  The process from step S402 to step S407 is repeated for all the submitted pattern data, and the published pattern generation means 32b ends the process.

  Now, with reference to FIG. 13, the processing in step S407 in FIG. 10 will be described in detail. In FIG. 13, the number of entries in the advertisement work table is Nd, and the number of entries in the empty frame work table is Nf. k corresponds to the advertisement work table serial number of the advertisement work table and takes a value from 1 to the number Nd of entries in the advertisement work table. p (k) is an empty frame work table designation value corresponding to the advertisement work table serial number k in the advertisement work table.

  First, in step S501, k = 1 is initialized. Next, in step S502, 1 is incremented to p (k), and in step S503, p (k) and Nf are compared. When p (k) is equal to or less than Nf, it is a case where the empty frame work table designation value of the advertisement work table has been updated. Therefore, the process is terminated, and the process is performed based on the new empty frame work table designation value. Proceed.

  In step S503, if P (k)> Nf, in step S504, 1 is set in P (k), 1 is incremented in k, and the process proceeds to step S505. If it is determined in step S505 that k is equal to or less than Nd, the process advances to step S502 to generate a new empty frame work table designation value.

  According to the processing shown in FIG. 13, when p (k)> Nf and k> Nd, all the entry patterns of the advertisement work table and all the entry patterns of the empty frame work table are updated. It will be. Thereby, the process of step S403 thru | or step S406 of FIG. 10 can be repeated about all the publication pattern data.

  In this way, the publishing pattern generation means 32b has no publishing pattern data that does not include duplicate publishing pattern data in the digital signage terminal and time among all the publishing pattern data of each entry in the empty frame work table. A set can be generated.

  The second effect efficiency trial calculation means 33b calculates the effect / efficiency for each placement pattern data of the placement pattern data set generated by the placement pattern generation means 32b. A trial calculation result is associated with each advertisement-vacant frame pair included in each placement pattern data, and the effect / efficiency of the placement pattern data as a whole is calculated from the trial calculation result.

  As the effect / efficiency calculated by the second effectiveness / efficiency calculation means 33b, for example, among the respective calculation results associated with the advertisement-vacant frame pairs included in the placement pattern data, A method of calculating the total number of target viewers in the entire placement pattern data can be considered. Specifically, the number of target viewers for each of all advertisement-empty frame pairs corresponding to the placement pattern data is added to obtain the number of target viewers of the placement pattern data. In this case, the weight is further set according to the priority of the advertisement, and the product of the target audience number and the weight of each trial calculation result corresponding to the advertisement is calculated for each advertisement-empty frame pair, and the total is calculated. May be calculated as an evaluation value for the entire placement pattern.

  Further, the distribution of the target audience number related to the advertisement in the entire advertisement pattern data may be calculated as the distribution of the target audience number included in each trial calculation result corresponding to the advertisement-vacant space pair included in the advertisement pattern data. good. Similarly, it is possible to calculate the total amount or the variance of the advertisement placement cost and use it as an evaluation value of the effectiveness efficiency.

  The effect / efficiency calculated by the second effect efficiency trial calculation means 33b is input to the second out-of-conditions pattern removal means 37b.

  The second out-of-conditions pattern removal means 37b is specified in the efficiency calculated by the second efficiency calculation means 33b, the advertisement metadata specified in the advertisement placement condition data 24a, the matching condition, and the output format control data. The extracted pattern data that does not satisfy the conditions is extracted and deleted. For example, when the total number of target viewers calculated by the above-described method is less than the target total target viewer number of the advertisement placement condition information, the second unconditional placement pattern exclusion unit 37b deletes the data of the placement pattern data.

  The second effect efficiency trial calculation means 33b calculates the data of the placement pattern data that has not been excluded by the second out-of-conditions output pattern exclusion means 37b and the effect efficiency calculation result calculated by the second effect efficiency trial calculation means 33b. The data is input to the output data generation unit 34 in association with the data. Here, the publishing pattern data output by the second efficiency calculation means 33b may be a data set composed of a plurality of data.

  The output data generation means 34 creates images and graphs to be displayed in FIG. 4 and FIG. 5 using the output pattern set generated by the output pattern generation means 32b and the trial calculation result by the second effect efficiency trial calculation means 33b. Coordinates, numerical values, etc. necessary for this are calculated, and output data is generated.

  The output data has a structure as shown in FIG. 14A or FIG. 14B, for example. The output data shown in FIG. 14A is data for displaying the output result shown in FIG. This output data is generated for each placement pattern data. Therefore, as shown in FIG. 4, when the output pattern data set includes three output pattern data, three output data corresponding to each output pattern data is generated.

  The output data shown in FIG. 14A includes map data, map partial image designation information, placement position coordinate information, and placement position mark information.

  “Map data” is map image data such as the route map shown in FIG. 4. Further, the map data may not be the image data itself but may be an identifier of the map data. “Map partial image designation information” is information for cutting out a map necessary for display in FIG. 4 from a larger map such as a map of Japan. For example, it is the value of the coordinate which specifies the rectangle which should be displayed among large map images. The map data and the map partial image designation information are determined by a predetermined method so as to be output in a format that can be easily recognized by the user.

  The “posting position coordinate data” is coordinate information for displaying the position of the digital signage display terminal where the advertisement is put on the map data. The placement position coordinate data is determined based on the latitude / longitude information of the map data and the latitude / longitude information of the digital signage display terminal specified by the location metadata 21a.

  “Delivery position mark information” is a mark image indicating a placement position, size information of the mark image, and the like. For example, the size of the mark image can be changed or the mark image can be changed by the main target audience layer according to the effect efficiency calculated by the second effect efficiency estimation means 33b.

  The output data shown in FIG. 14B is data for displaying the output result shown in FIG. This output data is generated for each placement pattern data. Therefore, as shown in FIG. 5, when the output pattern set includes three output pattern data, three output data corresponding to each output pattern data is generated.

  The output data shown in FIG. 14B includes graph data. The graph data is data obtained by imaging a graph generated from a graph with the items specified in the vertical axis and horizontal axis fields in FIG. 5 as axes.

  For example, when the signage pattern includes digital signage display devices installed in Shibuya and Shinjuku, as shown in the graph of FIG. 5, the target number of Shibuya, the target number of Shinjuku, and the total number of targets and the time Create a graph showing the relationship. The time axis on the horizontal axis may be set every hour, for example, from 0 o'clock to 24 o'clock, or may be set every predetermined time frame. In the above description, the output data generation unit 34 generates image data from a graph. However, the output data generation unit 34 outputs only parameters for describing the graph as output data, and the display device 50 draws the graph on the graph. May be.

  Various formats can be considered as the display format of the output data. For example, when display of a route map is specified in the output format control data, the trial calculation result can be displayed superimposed on the image of the route map and visually expressed. As a result, it is possible to intuitively grasp the target viewer's behavior flow line and the expected effect / efficiency at the same time, thereby supporting the selection of the placement pattern.

  In addition to this, there are cases where the output pattern data, the trial calculation result data associated with the output pattern data, and the data of the ranking / sorting result are graphed and imaged based on the output format data, etc. Conceivable. Examples of graphing and imaging include the following, and they may be used properly according to the output type and data items of the output format control data.

  As a first example, the location of a digital signage display terminal that is planned to be placed is displayed as a mark on a map image. At this time, the color or size of the mark may be changed based on the advertisement, the trial calculation result, the advertisement metadata, or the like. As a second example, as shown in FIG. 4, a route map is used instead of a map in the first example. At this time, for example, it is considered useful when making a drafting plan in association with a station or route. As a third example, as shown in FIG. 5, the number of target viewers when the target advertisement is placed on the digital signage display terminal with the vertical axis as the number of target viewers and the horizontal axis as the time, depending on the time. How it changes is displayed as a graph. Here, a graph may be created for each advertisement, or a total graph of a plurality of advertisements or a graph in which the number of target viewers in a plurality of DS display terminals is summed. As a fourth example, which is a modification of the third example, the graph in the third example uses the number of target viewers as an example, but graphs information such as trial calculation results, advertisement metadata, advertisement metadata, etc. .

  Further, it may be output according to the result data sorted by the ranking / sorting means to be described later, or information related to the effectiveness / efficiency of the advertisement calculated by the second effect efficiency calculating means 33b may be output.

  As described above, the output data generation unit 34 generates output data to be output in various output formats.

The ranking / sorting means 35 sorts the results output by the second efficiency calculation means 33b by a predetermined key and outputs the result data to the output device 50.
The ranking / sorting means 35, for example, the total cost included in the trial calculation result, the advertising cost per person, the number of target viewers included in the location metadata associated with each empty space included in each placement pattern, Ranking based on the fee, position, total number of target viewers (total number of target viewers) and distribution, advertisement placement condition information, specified advertisement metadata, conditions indicated by output format control information, etc. To do. Further, the placement pattern data may be ranked using the information specified in the priority order shown in the lower part of FIG. 5 or the information specified in the ranking target shown in the upper part of FIG. 5 and the trial calculation result.

  For example, a table in which a ranking function is associated with an output type option may be stored in the storage device 20. In this case, when the output type is designated, the ranking / sorting means 35 may extract the ranking function corresponding to the output type from the storage device 20 and rank the output pattern.

  In addition to this, for example, as a ranking method by the ranking / sorting means 35, ranking may be performed in descending order or ascending order of the trial calculation results, and the rank specified in the priority order is used as a weight value, and the trial calculation value corresponding to each is multiplied. A linear sum is used to rank from the smallest value to the top, a method of sorting in ascending order of the information specified in the ranking target axis designation information, a specified location (position) or from a station on the designated railway line A method of sorting in ascending order of distance, etc. can be considered.

  Furthermore, when ranking, it is also possible to rank the placement pattern data similar to the placement pattern data ranked higher than the attention rank so that the placement pattern data is not ranked in the attention rank. For example, there can be considered a method in which the placement pattern data including the same number of empty frames as specified in advance is not ranked in. Accordingly, it is possible to prevent the usefulness of presenting a plurality of candidates for the placement pattern data due to the higher ranking being occupied by similar placement pattern data.

  The ranking / sorting means 35 associates the ranking / sorting result data calculated for each placement pattern data with the placement pattern, the location metadata set, the empty space data set, the advertisement metadata set, the advertisement placement condition data set, and the output. The format data, the placement pattern data set, the trial calculation result data set, the output data, and the ranking / sorting result data set are output to the output device 50, and the output device 50 displays the result data.

  The distribution plan control means 36 includes a location metadata set, a vacant space data set, an advertisement metadata set, an advertisement placement condition data set, an output format control data, a placement pattern data set, a trial calculation result data set, an output data set, and ranking / sorting. A result data set and distribution reservation / confirmation instruction information are received, and distribution reservation or distribution confirmation processing for distributing the specified advertisement content is performed. The distribution plan control unit 36 outputs a distribution instruction based on the publishing pattern data to be distributed input by the distribution instruction input unit 13. The output distribution instruction is transmitted to the digital signage control server 3. When there are a plurality of digital signage control servers, the distribution control means 36 generates distribution instruction data for the digital signage display terminal controlled by the digital signage control server for each digital signage control server, and distributes it to each digital signage control server. Send instruction data. The digital signage control server 3 displays an advertisement on the digital signage display terminal according to the received distribution instruction data.

(Data flow of advertisement distribution support device)
With reference to FIG. 15, the data flow of the advertisement delivery support apparatus 1 according to the preferred embodiment of the present invention will be described.

  The data input by the condition input unit 11 is input to the publishing condition storage unit 24 and the output format storage unit 25. The filtering unit 31 filters the data to be processed this time from the place metadata storage unit 21, the advertisement metadata storage unit 22, the empty frame data storage unit 23, the advertisement placement condition storage unit 24, and the output format storage unit 25. Then, the filtered data is input to the advertisement placement pattern generation means 32.

  The advertisement-vacant frame pair generating unit 32a of the advertisement placement pattern generating unit 32 generates data of the advertisement-vacant frame pair for the data input from the filtering unit 31, and inputs the data to the first effect efficiency trial calculating unit 33a. The first effectiveness / efficiency calculation means 33a calculates the effectiveness / efficiency for each of the advertisement-empty frame pairs generated by the advertisement-empty frame pair generation means 32a. At this time, the first out-of-conditions pattern removal unit 37a deletes the advertisement-empty frame pair that does not satisfy the condition defined by the advertisement placement condition data, based on the result of the first effectiveness efficiency calculation unit 33a. Specifically, the first effect efficiency trial calculation means 33a determines that the target audience number obtained as a result of the trial calculation is less than the target minimum target audience number per digital signage display terminal indicated by the advertisement placement condition data. , Delete the advertisement-empty frame pair. As described above, the first extra-external placement pattern exclusion unit 37a verifies whether or not the submission condition is satisfied in units of advertisement-vacant frame pairs, deletes the advertisement-vacant frame pair that does not satisfy the conditions, and continues Do not perform the process.

  On the other hand, based on the advertisement-vacant frame pair data satisfying the placement condition, the placement pattern generation means 32b generates the placement pattern data. This placement pattern data is a combination of an advertisement-empty frame pair. When the publishing pattern data is generated, the second effect efficiency trial calculation means 33b calculates the effectiveness efficiency for each of the publishing pattern data. At this time, the second out-of-conditions pattern removal unit 37b deletes the pattern data that does not satisfy the condition defined by the advertisement condition data based on the result of the second efficiency calculation unit 33b. For example, the total number of target viewers of all digital signage display devices in the placement pattern is less than the target total number of target audiences in the advertisement placement condition data.

  From the output pattern data generated in this way, the output data generation means 34 generates output data that conforms to the output format data 25 a and displays it on the display device 50. At this time, the ranking / sorting means 35 ranks / sorts the output data with predetermined parameters and displays them on the display device 50 as necessary.

  The user determines the posting pattern data for actually distributing the advertisement from the posting patterns displayed on the display device 50. Information on the determined placement pattern data is input by the distribution instruction input unit 12, and the distribution plan control means 36 generates distribution instruction data, and transmits it to each digital signage control server 3 via the communication device 40. .

(Function and effect)
Referring to FIG. 16, when the advertisement distribution support apparatus 1 according to the preferred embodiment of the present invention calculates the advertisement pattern for a plurality of advertisements at the same time, an effect different from that in the case where a single advertisement is posted is obtained. Can do.

  FIG. 16A illustrates a case where a drafting plan is created so that the number of target viewers is maximized in order for advertisements C1, C2, and C3 one by one. In the example shown in FIG. 16A, when making a C3 drafting plan, C2 has already been drafted for the empty frame S2, and C3 cannot be placed in S2. Accordingly, the total number of target viewers of the advertisements C1, C2, and C3 in this case is 1400, for example.

  On the other hand, FIG. 16 (b) illustrates a case where the advertising plans for the advertisements C 1, C 2, and C 3 are simultaneously drafted according to the advertisement distribution support apparatus 1 according to the best embodiment of the present invention. According to the preferred embodiment of the present invention, it is possible to generate a plurality of placement pattern data for all advertisement-vacant frames, and select the placement pattern data that maximizes the number of target viewers. In the example shown in FIG. 16B, in order to maximize the number of target viewers, it can be planned that C3 is put out in S2 and C2 is put out in S3. As a result, for example, the number of target viewers for C2 decreases by 400 and 100, but instead the number of target viewers for C3 increases by 900 and 900, and the total number of target viewers for ads C1, C2, and C3 as a whole The total of 2200 people.

  As described above, according to the best mode of the present invention, by planning the placement of a plurality of advertisements at the same time, the degree of optimization of the advertisement effect / efficiency as a whole can be improved as compared with the case of planning the placement of the advertisements sequentially. Can be increased.

  According to the advertisement distribution support apparatus 1 according to the preferred embodiment of the present invention, advertisement placement condition data reflecting the purpose of advertisement, place metadata that is information about a digital signage display terminal, and advertisements are displayed on each digital signage display terminal. From the free space data indicating the available time slot and the advertisement metadata that is information about the advertisement, the advertisement pattern data for multiple advertisements is generated, and various information on the effectiveness and efficiency of the advertisement is generated for each of the generated advertisement pattern data. Estimate from the viewpoint. Further, based on the effect / efficiency and other information obtained by the trial calculation, the extraction pattern data satisfying the given condition is extracted, and the calculation result related to the extracted extraction pattern data is presented. Reservation processing and confirmation processing are performed in order to select one of the placement pattern data from each of the placement pattern data displayed here, and to distribute the advertisement based on the selected placement pattern data.

  As described above, according to the advertisement delivery support apparatus 1 according to the best embodiment of the present invention, a plurality of possible placement patterns are generated, and the advertisement efficiency is calculated for each of the placement patterns. It is possible to reduce the amount of work required for drafting an advertisement placement plan that requires simultaneous control of the effectiveness and efficiency of the advertisement.

  Also, by displaying the advantages and effects of each placement pattern using a map or graph, the user can easily grasp the effectiveness and efficiency of each placement pattern and select an effective placement pattern. Can do.

  Further, according to the advertisement distribution support apparatus 1 according to the best mode of the present invention, the first efficiency calculation means 33a calculates the effectiveness efficiency by the empty frame and the advertisement unit of the digital signage display device, and the advertisement placement condition The empty frame-advertisement pair that does not satisfy the data 24a is deleted. Further, the second efficiency calculation means 33b calculates the effect efficiency in units of placement patterns having a plurality of empty frame-advertisement pairs, deletes the placement patterns that do not satisfy the advertisement placement condition data 24a, and places the placements that have not been deleted. Output the pattern. As described above, the cost of processing can be reduced by generating the placement pattern data step by step.

(First modification)
In the preferred embodiment of the present invention, the case where the placement pattern data is calculated simultaneously for a plurality of advertisements has been described. In the first modification, the case where one advertisement is calculated will be described.

  The processing of the advertisement distribution support apparatus 1a according to the first modification is the same as that described with reference to FIG. 2, but the processing of the effect efficiency trial calculation in step S103 in FIG. 2 is different.

  Processing of the advertisement placement pattern generation unit 32 and the effectiveness efficiency calculation unit 33 according to the first modification will be described with reference to FIG. The processing described in FIG. 17 corresponds to the processing described in FIG. 8 referred to in the best embodiment.

  First, in step S601, the advertisement distribution support apparatus 1a generates a combination of vacant frames. In order to reduce the amount of calculation here, for example, when creating one combination, the calculation of the total of the advertisement fee is added each time one vacant frame is added, and more vacant frames are added when the budget of the advertisement placement condition data is exceeded. Preferably not. Thereby, the number of combinations to be generated can be reduced. In the first modified example, the combination of vacant frames generated in step S601 becomes a placement pattern.

  Next, in step S602, the advertisement distribution support apparatus 1a calculates the effect / efficiency for each piece of placement pattern data. Specifically, the placement fee included in the vacant frame data constituting each publishing pattern, The total number of target viewers of the location metadata associated with is summed to calculate the estimated total advertisement fee and the estimated total target viewer number. Further, the estimated total advertising cost is calculated by dividing the estimated total cost by the estimated total target audience. The advertisement distribution support apparatus 1a calculates the total number of viewers and the advertisement cost as effective efficiency. Here, the advertisement delivery support apparatus 1a calculates the efficiency effect for each placement pattern.

  Further, here, a trial calculation may also be made in consideration of the mutual action assumed when the data is put out on a plurality of digital signage display terminals. For example, by calculating the effect and efficiency of advertisements taking into account the flow of railway users (boarding stations, routes, getting-off stations, passages, hours of use, etc.) for commuting and attending school, etc., changes with time and place It is possible to make an advertisement placement plan that is more suited to the purpose, such as changing the advertisements to be displayed according to the attributes (occupation, gender, etc.) of the users to be used and the number of people.

  In step S603, the advertisement distribution support apparatus 1a includes advertisement placement condition information, designated advertisement metadata, output format control data, and the like associated with each of the placement pattern data generated in step S601. Delete placement pattern data that does not satisfy the conditions shown. For example, it is possible to use the same method as the first non-conditional out-of-conditions pattern excluding unit and the second out-of-conditions out-of-conditions pattern excluding unit, or delete the original pattern.

  In step S604, the advertisement distribution support apparatus 1a calculates coordinates, numerical values, and the like necessary for creating an image or graph to be displayed on the output apparatus 50. For example, data for displaying the trial calculation result in step S602 superimposed on the image when the route map display is designated in the output format control data is generated. By visually expressing in this way, the advertisement distribution support apparatus 1a can simultaneously intuitively grasp the target viewer's behavioral flow line and the expected effect / efficiency, and can support the determination of the selection of the placement pattern. it can.

  Here, an example is shown in which the advertisement effectiveness / efficiency is estimated for the case where an advertisement targeting OL (F1 layer: female 20-35 years old) who commutes from Yokohama to Shinjuku in the morning is placed.

  As the time zone that many target viewers will use, for example, empty signage data from 07:30 to 08:30 for digital signage display terminals at Yokohama Station and 08:30 to 09:00 at Shinjuku Station will be stored. It is assumed that 20 empty frame data 23 are stored as shown in FIG. Further, it is assumed that data as shown in FIG. 7 is stored in the location metadata storage unit 21 of the storage device 20 as the location metadata.

  The estimated target viewer number calculated from the location metadata and the vacant frame data is 3000, which is a total of 1000 target viewers at Yokohama Station and 2000 target viewers at Shinjuku Station. In addition, the estimated total publication fee is 1500 yen, which is the sum of the 1,000 yen for the Yokohama Station and the 1500 yen for the Shinjuku Station. Here, the posting fee is a fee required for displaying an advertisement per unit time such as 15 seconds. The estimated per-manage fee is obtained by dividing the estimated total manuscript fee by the estimated target viewer total number, and is 2500 (yen) ÷ 3000 (person) = 0.833 yen / person.

  In addition, in this example, digital signage display terminals installed at Yokohama Station and Shinjuku Station, which are the commuting routes of the target, and location metadata of the time zone that many targets will use are used. As a flow line, it is an example of trial calculation considering both place and time.

  In order to determine a time zone and a place where an advertisement can be put out effectively and efficiently, for example, a place and a time zone where there are a large number of targets from the location metadata stored in the storage device 20 and there are empty slots. The digital signage display terminal may be selected, and the location metadata including the selected digital signage display terminal may be used for the trial calculation.

  To further optimize the effectiveness and efficiency from these trial calculation methods, repeat the trial calculation as described above while changing the location, time, and number of submissions (in the above example, the number of submissions = 2). There are ways to search for patterns.

(Second modification)
In the first modification, a combination of vacant frames is generated, but in the second modification, a combination of vacant frames is not generated, and each vacant frame is directly used as the placement pattern data.

  Therefore, the processing after the ranking / sorting process of step S104 shown in FIG. 2 is performed not on the combination but on individual empty frames. For example, in the best embodiment and the first modification, ranking / sorting is performed in units of combinations and displayed, but in the second modification, trial calculation result data of individual empty frames is used. Ranking and sorting individual empty frames and displaying individual empty frames.

  With reference to FIG. 18, the process of trial calculation of the efficiency in step S103 of FIG. 2 will be described.

  First, in step S701, the effect / efficiency expected when an advertisement is put out in each vacant space is estimated. The effect efficiency calculated here is the same as the calculation method in the first modification.

  Further, in step S702, coordinates, numerical values, and the like necessary for creating an image and a graph are calculated by the same method as in step S604 of FIG. 17 according to the first modification. The result is output to the output device 50 based on the value calculated here.

(Other embodiments)
As described above, the best embodiment of the present invention and its modifications 1 and 2 have been described. However, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. . From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, the advertisement distribution support apparatus 1 described in the best embodiment of the present invention may be configured on a single piece of hardware as shown in FIG. 1, or a plurality of pieces of hardware depending on the functions and the number of processes. It may be configured on the wear. Moreover, you may implement | achieve on the existing digital signage control server.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

DESCRIPTION OF SYMBOLS 1 Advertisement delivery support apparatus 2 Digital signage display terminal 3 Digital signage control server 4 Communication network 10 Input device 11 Condition input means 12 Termination instruction input means 13 Distribution instruction input means 20 Storage device 21 Location metadata storage part 22 Advertisement metadata storage part DESCRIPTION OF SYMBOLS 23 Empty frame data storage part 24 Advertisement placement condition storage part 25 Output format storage part 30 Processing device 31 Filtering device 32 Advertisement placement pattern generation means 32a Advertisement-free frame pair generation means 32b Advertisement pattern generation means 33 Advertisement effect efficiency estimation means 33a First 1 Effective efficiency trial calculation means 33b Second effectiveness efficiency trial calculation means 34 Output data generation means 35 Ranking / sorting means 36 Distribution plan control means 37 Unconditional submission pattern exclusion means 37a First conditional contribution pattern exclusion means 37b First 2 Exclusion pattern exclusion means 40 Communication device 50 Output device

Claims (7)

An advertisement distribution support device that displays a plurality of advertisements on a display device,
Advertisement metadata storage means for storing, in a storage device, advertisement metadata in which an advertisement identifier is associated with a time length of the advertisement;
The storage device stores empty frame data in which the identifier of the display device, a frame indicating a time zone in which the advertisement is put out on the display device, and an empty frame time length that is a time that can be put out in the frame are associated with each other. Empty frame data storage means to perform,
An advertisement placement condition data storage means for storing, in the storage device, a plurality of advertisement identifiers and advertisement placement condition data in which the placement conditions of each advertisement are associated;
A plurality of placement pattern data in which the frame and an identifier of an advertisement to be placed in the frame are associated with each other, and the free space time length associated with the frame in the free space data from the generated plurality of placement pattern data A pattern generation unit for extracting pattern pattern data that is larger than the total time length of the advertisement corresponding to the identifier of the advertisement associated with the frame in the pattern pattern data;
An advertisement distribution support apparatus comprising: an efficiency calculation means for calculating an advertisement efficiency for the placement pattern data extracted by the placement pattern generation means. Condition input means for inputting the advertisement placement condition data;
The advertisement distribution support apparatus according to claim 1, further comprising: an output device that displays an advertisement effect efficiency calculated by the effect efficiency estimation means. A distribution instruction input means for inputting the publishing pattern data to be distributed from the publishing pattern data extracted by the publishing pattern generation means;
A delivery plan control means for outputting a delivery instruction based on the delivery pattern data to be delivered inputted by the delivery instruction input means;
The advertisement distribution support apparatus according to claim 2, further comprising: a communication device that transmits a distribution instruction output by the distribution plan control unit to the display device. An advertisement distribution support method for displaying a plurality of advertisements on a display device,
Storing, in a storage device, advertisement metadata in which an advertisement identifier is associated with a time length of the advertisement;
The storage device stores empty frame data in which the identifier of the display device, a frame indicating a time zone in which the advertisement is put out on the display device, and an empty frame time length that is a time that can be put out in the frame are associated with each other. And steps to
Storing a plurality of advertisement identifiers and advertisement placement condition data in which each advertisement placement condition is associated with the storage device;
A plurality of placement pattern data in which the frame and an identifier of an advertisement to be placed in the frame are associated with each other, and the free space time length associated with the frame in the free space data from the generated plurality of placement pattern data Extracting the extraction pattern data larger than the total of the advertisement time length corresponding to the identifier of the advertisement associated with the frame in the advertisement pattern data;
An advertisement distribution support method comprising: calculating an advertising effectiveness efficiency for the extracted placement pattern data. Inputting the advertisement placement condition data;
The advertisement distribution support method according to claim 4, further comprising: displaying an effect efficiency of the advertisement on an output device. A step of inputting the distribution pattern data to be distributed from the extracted extraction pattern data;
A step of outputting a distribution instruction based on the input pattern data to be distributed;
The advertisement distribution support method according to claim 5, further comprising: transmitting the output distribution instruction to the display device.   An advertisement distribution support program for causing a computer to execute each step according to any one of claims 4 to 6.