JP2020021407A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an advertisement content suitable for inhabitants in an apartment house.SOLUTION: An information processing device includes an acquisition unit and an extraction unit. The acquisition unit obtains information on an apartment house. The extraction unit extracts an advertisement content which is output by an output device installed in a site of the apartment house, on the basis of the information on the apartment house which is obtained by the acquisition unit. The information processing device further includes a classification unit. The classification unit classifies the apartment house on the basis of the information on the apartment house which is obtained by the acquisition unit. The extraction unit extracts an advertisement content which is output by the output device installed in a site of the apartment house, on the basis of a classification result obtained by classification by the classification unit.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing device, an information processing method, and an information processing program.

  2. Description of the Related Art Conventionally, there is known a technology for providing information to residents of an apartment house or the like. Specifically, there has been proposed a technology for displaying an advertisement content of an area near an apartment house on digital signage installed in a common area of the apartment house.

JP 2004-126150 A

  However, according to the above-described conventional technology, it is not always possible to provide advertisement content suitable for residents of an apartment house. Specifically, the above-mentioned conventional technology only distributes local advertising content to the signage of common areas and returns advertising fees to the condominium management union, and can provide advertising content suitable for residents of apartment complexes Is not always possible.

  The present application has been made in view of the above, and an object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program capable of providing advertisement content suitable for residents of an apartment house. .

  An information processing apparatus according to the present application includes an acquisition unit that acquires information about an apartment house, and advertising content to be output to an output device installed on the site of the apartment house based on the information about the apartment house acquired by the acquisition unit. And an extraction unit for extracting

  According to an aspect of the embodiment, there is an effect that it is possible to provide advertisement content suitable for residents of an apartment house.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of an apartment house information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the advertisement information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of the schedule storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of the resident information storage unit according to the embodiment. FIG. 8 is a diagram illustrating an example of the electronic lock history storage unit according to the embodiment. FIG. 9 is a diagram illustrating an example of information processing according to the embodiment. FIG. 10 is a flowchart illustrating a classification processing procedure according to the embodiment. FIG. 11 is a flowchart illustrating an information processing procedure according to the embodiment. FIG. 12 is a flowchart illustrating an information processing procedure according to the modification. FIG. 13 is a diagram illustrating an example of information processing according to a modification. FIG. 14 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing device.

  Hereinafter, an information processing apparatus, an information processing method, and an embodiment (hereinafter, referred to as “embodiment”) for implementing an information processing program according to the present application will be described in detail with reference to the drawings. The information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by the embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and overlapping description will be omitted.

[1. Example of information processing)
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. The information processing shown in FIG. 1 is performed by the output device 10, the advertiser terminal 30, and the information processing device 100.

  The output device 10 is a digital signage installed at the entrance of an apartment. When receiving the advertising content from the information processing device 100, the output device 10 displays the received advertising content on a digital signage screen. In the following, the output device 10 may be referred to as a digital signage 10 as appropriate.

  In the following, the apartment specified by the apartment ID “M1” may be referred to as “apartment M1”. As described above, in the following description, when “apartment M * (* is an arbitrary numerical value)” is described, it indicates that the apartment is an apartment identified by an apartment ID “M *”. For example, when "apartment M2" is described, the apartment is an apartment identified by an apartment ID "M2".

  Hereinafter, the output device 10 will be described as the output devices 10-1 and 10-2 according to the apartment in which the output device 10 is installed. For example, the output device 10-1 is the output device 10 installed in the apartment M1. Further, for example, the output device 10-2 is the output device 10 installed in the apartment M2. In the following, the output devices 10-1 and 10-2 will be referred to as the output device 10 when they are described without particular distinction.

  The advertiser terminal 30 is an information processing device used by the advertiser. For example, the advertiser terminal 30 is a desktop PC, a notebook PC, a tablet terminal, a mobile phone, a PDA, or the like. In addition, the advertiser terminal 30 transmits information about the advertisement content (hereinafter, may be simply referred to as “advertisement information”) to the information processing device 100 according to an operation by the advertiser. For example, a still image, a moving image, text data, a URL (Uniform Resource Locator) for accessing an advertisement page distributed by an advertiser server managed by the advertiser, and the like are transmitted to the information processing apparatus 100 as the advertisement content. I do. In addition, the advertiser terminal 30 transmits, to the information processing apparatus 100, the advertisement information, as well as the advertisement content, the target condition, the number of impressions, and the advertisement budget for the target layer of the advertisement.

  The information processing device 100 is a server device that extracts advertisement content to be output to the digital signage 10 installed on the site of the apartment, based on information about the apartment. The information processing apparatus 100 classifies apartments for each segment that is an attribute of the apartment, based on the information about the apartment. Then, the information processing apparatus 100 extracts, from the advertisement content received from the advertiser terminal 30, the advertisement content that matches the segment that is the attribute of the apartment. In addition, the information processing device 100 distributes the extracted advertisement content to the digital signage 10 installed on the site of the apartment.

  Hereinafter, an example of information processing will be described with reference to FIG. In the example illustrated in FIG. 1, the information processing apparatus 100 acquires information about a condominium from a condominium management company (step S11). For example, the information processing apparatus 100 may include, as information about a condominium, a condominium type (for families, for DINKs (Double Income No Kids), for the elderly), average household income, total number of units, floors, age of building, types of common facilities, Obtain information such as location and pet availability. When the information about the apartment is acquired, the information processing apparatus 100 stores the acquired information about the apartment in the apartment house information storage unit 121.

  Subsequently, the information processing apparatus 100 assigns a tag to the apartment based on the acquired information on the apartment to match the target condition of the advertisement content submitted by the advertiser (step S12). When the tag is assigned to the apartment, the information processing apparatus 100 stores the tag assigned in association with the apartment ID in the collective housing information storage unit 121. In this manner, the information processing apparatus 100 classifies the apartment based on the tag attached to the apartment (step S13).

  For example, the information processing apparatus 100 attaches a tag indicating the lifestyle (life style) of the resident to the apartment based on the information on the apartment type. Subsequently, the information processing apparatus 100 classifies the apartments for each lifestyle based on the tags assigned to the apartments and indicating the lifestyles of the residents. In the example illustrated in FIG. 1, the information processing apparatus 100 determines that the apartment M1 and the apartment M4 have a tag indicating the lifestyle based on the information that the apartment type of the apartment M1 is “for families”. Tags for families. Further, the information processing apparatus 100 uses the tag “for DINKs” as a tag indicating the lifestyle for the apartment M2 and the apartment M5 based on the information that the apartment type of the apartment M2 and the apartment M5 is “for DINKs”. Is given. In addition, the information processing apparatus 100 determines that the apartment type of the apartment M3 and the apartment M6 is “for the elderly” based on the information that the apartment type of the apartment M3 and the apartment M6 is “for the elderly”. Tag. Subsequently, the information processing apparatus 100 classifies the apartments M1 to M6 into three types, “for families”, “for DINKs”, and “for elderly people”, based on tags indicating the lifestyles of the residents attached to the apartments M1 to M6. Into segments.

  Further, the information processing device 100 gives a tag indicating the economic power of the inhabitants to the apartment based on the information on the average household annual income. Subsequently, the information processing apparatus 100 classifies the condominiums according to the economic power of the inhabitants based on the tag indicating the economic power of the inhabitants given to the condominium. For example, the information processing apparatus 100 determines that the inhabitants whose average household income is less than 10 million yen are middle class and the inhabitants whose average household annual income is 10 million or more are wealthy. In the example illustrated in FIG. 1, the information processing apparatus 100 divides the residents of the apartment M1, the apartment M2, and the apartment M6 into the middle class because the average annual household income of the apartment M1, the apartment M2, and the apartment M6 is less than 10 million yen. Is determined. Subsequently, since the information processing apparatus 100 determines that the residents of the apartment M1, the apartment M2, and the apartment M6 are the middle class, the information processing apparatus 100 provides the apartment M1, the apartment M2, and the apartment M6 as tags indicating the economic power of the residents. A tag “middle layer” is given. In addition, the information processing apparatus 100 determines that the residents of the apartment M3, the apartment M4, and the apartment M5 are rich because the average household annual income of the apartment M3, the apartment M4, and the apartment M5 is 10 million yen or more. . Subsequently, the information processing apparatus 100 determines that the inhabitants of the apartment M3, the apartment M4, and the apartment M5 are the wealthy. Therefore, the information processing apparatus 100 assigns the apartment M3, the apartment M4, and the apartment M5 as a tag indicating the economic power of the inhabitants. The tag "wealthy" is given. Subsequently, the information processing apparatus 100 classifies the apartments M1 to M6 into two types of segments, “middle class” and “rich” based on tags indicating the economic power of the residents provided to the apartments M1 to M6.

  In addition, the information processing apparatus 100 adds a tag indicating the size of the apartment to the apartment based on the information on the total number of apartments. Subsequently, the information processing apparatus 100 classifies the condominiums for each condominium size based on the tag indicating the condominium size given to the condominium. For example, the information processing apparatus 100 is a small-sized apartment with a total number of less than 50 units, a medium-sized apartment with a total number of 50 or more and less than 100 units, and a large-scale apartment with a total number of 100 or more units. judge. In the example illustrated in FIG. 1, the information processing apparatus 100 determines that the size of the apartment M3 and the apartment M5 is small because the total number of the apartments M3 and M5 is less than 50. Subsequently, subsequently, the information processing apparatus 100 determines that the scale of the apartment M3 and the apartment M5 is small, and thus, the tag indicating the scale of the apartment is “small” for the apartment M3 and the apartment M5. Assign tags. Further, since the total number of condominiums M2 is 50 or more and less than 100, the information processing apparatus 100 determines that the size of the condominium M2 is medium. Subsequently, since the information processing apparatus 100 determines that the size of the apartment M2 is medium, the information processing apparatus 100 assigns a tag "medium" to the apartment M2 as a tag indicating the size of the apartment. Further, since the total number of the apartments M1, M4, and M6 is 100 or more, the information processing apparatus 100 determines that the scale of the apartment M1, the apartment M4, and the apartment M6 is large. Subsequently, subsequently, the information processing apparatus 100 determines that the size of the apartment M1, the apartment M4, and the apartment M6 is large, so that the tag indicating the size of the apartment is given to the apartment M1, the apartment M4, and the apartment M6. As a tag “large”. Subsequently, the information processing apparatus 100 classifies the condominiums M1 to M6 into three types of segments of “small”, “medium”, and “large” based on tags indicating the size of the condominiums assigned to the condominiums M1 to M6. Classify into.

  In addition, the information processing apparatus 100 adds a tag indicating the presence or absence of a predetermined type of shared facility to the apartment based on the information on the type of shared facility of the apartment. Subsequently, the information processing apparatus 100 classifies the condominium based on the presence or absence of the common facility, based on the tag indicating the presence or absence of the common facility attached to the condominium. For example, the information processing apparatus 100 attaches a tag indicating the presence or absence of a parking lot to an apartment based on the presence or absence of a parking lot that is a common facility. In the example illustrated in FIG. 1, the information processing apparatus 100 determines whether or not there is a parking lot for the apartment M1 and the apartment M4 based on information that the type of shared facility of the apartment M1 and the apartment M4 is a parking lot. Is added as a tag of “Yes”. In addition, since the information processing apparatus 100 does not include a parking lot in the types of common facilities of the condominium M2, the condominium M3, the condominium M5, and the condominium M6, A tag “absence” is added as a tag indicating the presence or absence of a parking lot. Although each condominium may have a plurality of common facilities, in FIG. 1, for simplicity, it is assumed that each condominium has only one type of common facility as a type of common facility. Subsequently, the information processing apparatus 100 classifies the apartments M1 to M6 into two types of segments, “parking lot available” and “no parking lot”, based on the tag indicating the presence or absence of a parking lot given to the apartments M1 to M6. I do.

  Further, the information processing apparatus 100 accepts the submission of the advertisement content from the advertiser together with the target conditions and the like regarding the target layer of the advertisement (step S14). When receiving the submission of the advertisement content, the information processing apparatus 100 stores the advertisement content in the advertisement information storage unit 122 together with the target condition and the like. For example, as shown in FIG. 1, the information processing apparatus 100 receives an advertisement content AD11 related to an intermediate car to be advertised by the advertiser A11. Hereinafter, the advertisement content may be simply referred to as an advertisement as appropriate. For example, the advertisement content AD11 may be simply described as AD11. Note that an intermediate car refers to an inexpensive passenger car that can be purchased by the middle class. In addition, the information processing apparatus 100 accepts, from the advertiser A11, a condition that the lifestyle of the residents of the apartment is "for families" as the target condition of the advertisement AD11. In addition, the information processing apparatus 100 accepts, from the advertiser A11, a condition that an inhabitant of an apartment is a “middle class”, as a target condition of the advertisement AD11. In addition, the information processing apparatus 100 accepts, from the advertiser A11, a condition of a condominium with a parking lot (a condominium with a parking lot “Yes”) as a common facility of the condominium, as a target condition of the advertisement AD11.

  Similarly, the information processing apparatus 100 receives submission of advertisement content from a plurality of advertisers along with target conditions for advertisement. For example, although not shown in FIG. 1, the information processing apparatus 100 receives an advertisement content AD21 related to a used condominium sale mediation service to be advertised by the advertiser A21. In addition, the information processing apparatus 100 accepts, from the advertiser A21, a condition that the apartment type is “for DINKs” as the target condition of the advertisement AD21. In addition, the information processing apparatus 100 accepts, from the advertiser A21, a condition that the age of the apartment is "used" as a target condition of the advertisement AD21.

  For example, the information processing device 100 receives an advertisement content AD31 related to a nursing care service targeted by the advertiser A31. In addition, the information processing apparatus 100 accepts, from the advertiser A31, a condition that the apartment type is "for the elderly" as a target condition of the advertisement AD31. In addition, the information processing apparatus 100 accepts, from the advertiser A31, a condition of an apartment in which the inhabitants of the apartment are "wealthy" as the target condition of the advertisement AD31. In addition, the information processing apparatus 100 receives, from the advertiser A31, a condition that the size of the apartment is “small” as the target condition of the advertisement AD31.

  For example, the information processing device 100 receives an advertisement content AD41 related to a luxury car to be advertised by the advertiser A41. Note that a luxury car refers to a passenger car whose price range is relatively higher than that of an intermediate car. In addition, the information processing apparatus 100 receives, from the advertiser A41, a condition that the apartment type is “family-friendly” as the target condition of the advertisement AD41. In addition, the information processing apparatus 100 accepts, from the advertiser A41, a condition that the condominium of the condominium is a "rich class" as the target condition of the advertisement AD41. In addition, the information processing apparatus 100 accepts, from the advertiser A41, a condition of a condominium having a parking lot (a condominium with a parking lot “Yes”) as a common facility of the condominium, as a target condition of the advertisement AD41.

  For example, the information processing device 100 receives the advertisement content AD51 related to the weight scale to be advertised by the advertiser A51. In addition, the information processing apparatus 100 accepts, from the advertiser A51, a condition that the apartment type is “for DINKs” as the target condition of the advertisement AD51. Further, the information processing apparatus 100 receives, from the advertiser A51, a condition that the age of the apartment is “newly built” as the target condition of the advertisement AD51.

  For example, the information processing device 100 receives an advertisement content AD61 related to a food delivery service targeted by the advertiser A61. In addition, the information processing apparatus 100 receives, from the advertiser A61, a condition that the apartment type is “for the elderly” as the target condition of the advertisement AD61. In addition, the information processing apparatus 100 receives, from the advertiser A61, a condition that an inhabitant of the apartment is a “middle-class” apartment as a target condition of the advertisement AD61. In addition, the information processing apparatus 100 receives, from the advertiser A61, a condition that the size of the apartment is “large” as the target condition of the advertisement AD61.

  Subsequently, the information processing apparatus 100 extracts the advertisement content to be output to the digital signage installed on the site of the apartment based on the matching result between the classification result of the apartment and the target condition of the advertisement (step S15). The information processing apparatus 100 determines the priority of the tag to be matched with the advertisement content according to the compatibility with the advertisement content. Subsequently, the information processing apparatus 100 matches the target conditions in order from the tag with the highest priority. Subsequently, the information processing apparatus 100 sequentially extracts the advertising content that matches the tag with the highest priority. Alternatively, the information processing device 100 may assign a weight to the tag to be matched with the advertisement content. Subsequently, the information processing apparatus 100 sequentially extracts the advertising content that matches the tag according to the magnitude of the weight. Note that the information processing apparatus 100 may receive, from the advertiser, the priority and weight of the tag to be matched with the advertising content, together with the target condition. In the example illustrated in FIG. 1, the information processing apparatus 100 determines the priority of the tag to be matched with the advertisement content in the order of lifestyle, economic strength, scale, age, and presence or absence of a common facility. The information processing device 100 extracts the advertisement content AD11 and the advertisement content AD41 as the advertisement content whose target condition matches the tag “for family” indicating the lifestyle given to the apartment M1. Subsequently, the information processing apparatus 100 sets the advertisement content as the advertisement content whose target condition matches the tag “middle class” indicating the inhabitant demographic of the apartment given to the apartment M1 among the advertisement content AD11 and the advertisement content AD41. Extract AD11. Note that, when there is a plurality of pieces of advertising content in which the tag attached to the apartment and the target condition of the advertising content submitted by the advertiser match, the information processing apparatus 100 determines that the number of matching conditions out of the plurality of pieces of advertising content is satisfied. The most advertisement content may be extracted.

  Further, the information processing apparatus 100 extracts the advertisement content AD21 and the advertisement content AD51 as the advertisement content whose target condition matches the tag “for DINKs” indicating the lifestyle given to the apartment M2. Subsequently, the information processing apparatus 100 determines that the tag “middle class” indicating the inhabitant demographic of the condominium given to the apartment M2 among the advertising content AD21 and the advertising content AD51 matches the target condition with the advertising content. Extract AD21. In addition, the information processing apparatus 100 uses the advertisement content AD21 as the advertisement content whose target condition matches the tag “used” indicating the age of the apartment provided to the apartment M2 among the advertisement content AD21 and the advertisement content AD51. May be extracted.

  Further, the information processing apparatus 100 extracts the advertisement content AD31 and the advertisement content AD61 as the advertisement content whose target condition matches the tag “for the elderly” indicating the lifestyle given to the apartment M3. Subsequently, the information processing device 100 sets the advertisement content as the advertisement content of which the target condition matches the tag “wealthy class” indicating the inhabitant demographic of the apartment provided to the apartment M3 among the advertisement content AD31 and the advertisement content AD61. Extract AD31. In addition, the information processing apparatus 100 uses the advertisement content AD31 as the advertisement content whose target condition matches the tag “small” indicating the size of the apartment provided to the apartment M3, of the advertisement content AD31 and the advertisement content AD61. May be extracted.

  Further, the information processing apparatus 100 extracts the advertisement content AD11 and the advertisement content AD41 as the advertisement content whose target condition matches the tag “for family” indicating the lifestyle given to the apartment M4. Subsequently, the information processing apparatus 100 sets the advertisement content as the advertisement content whose target condition matches the tag “wealthy class” indicating the resident class of the apartment provided to the apartment M4 among the advertisement content AD11 and the advertisement content AD41. Extract AD41.

  In addition, the information processing apparatus 100 extracts the advertisement content AD21 and the advertisement content AD51 as the advertisement content whose target condition matches the tag “for DINKs” indicating the lifestyle given to the apartment M5. Subsequently, the information processing apparatus 100 sets the advertisement content as the advertisement content of which the target condition matches the tag “wealthy class” indicating the inhabitant class of the apartment provided to the apartment M5 among the advertisement content AD21 and the advertisement content AD51. Extract AD51. In addition, the information processing apparatus 100 uses the advertisement content AD51 as the advertisement content whose target condition matches the tag “new construction” indicating the age of the apartment given to the apartment M5, of the advertisement content AD21 and the advertisement content AD51. May be extracted.

  Further, the information processing apparatus 100 extracts the advertisement content AD31 and the advertisement content AD61 as the advertisement content whose target condition matches the tag “for the elderly” indicating the lifestyle given to the apartment M6. Subsequently, the information processing device 100 determines that the tag “middle class” indicating the inhabitant demographic of the condominium given to the apartment M6 among the advertising content AD31 and the advertising content AD61 matches the target condition with the advertising content. Extract AD61. In addition, the information processing device 100 uses the advertisement content AD61 as the advertisement content whose target condition matches the tag “large” indicating the size of the apartment provided to the apartment M6, of the advertisement content AD31 and the advertisement content AD61. May be extracted.

  Subsequently, the information processing apparatus 100 distributes the advertisement content extracted for each apartment to digital signage installed on the site of each apartment (step S16).

  As described above, the information processing device 100 acquires the information regarding the apartment. Then, the information processing apparatus 100 extracts the advertisement content to be output to the digital signage installed on the site of the apartment based on the acquired information on the apartment. Thereby, the information processing apparatus 100 can provide advertisement content suitable for residents of the apartment.

  In the example illustrated in FIG. 1, a case has been described where the information processing apparatus 100 extracts one advertisement content for each apartment, but a plurality of advertisement contents may be extracted for each apartment. In that case, the information processing apparatus 100 determines a distribution schedule for distributing the extracted advertising content to digital signage. Specifically, the information processing device 100 is an image captured by a camera installed in a space where the digital signage is installed within a predetermined period, and is located within a predetermined range from the position where the digital signage is installed. To get the image of the inhabitants. Subsequently, the information processing apparatus 100 analyzes the acquired image to determine a resident segment which is an attribute of a resident located within a predetermined range from a position where the digital signage is installed. Subsequently, the information processing apparatus 100 determines a resident segment that is statistically frequently appearing for each time zone. Subsequently, the information processing apparatus 100 selects, from the plurality of advertisement contents extracted for each apartment, an advertisement content in which the resident segment frequently appearing in the time zone matches the target condition of the advertisement content. Subsequently, the information processing apparatus 100 determines that the selected advertisement content is to be distributed in the time zone. When determining the distribution schedule of the advertising content, the information processing apparatus 100 stores the determined distribution schedule in the schedule storage unit 123.

[2. Configuration of information processing system]
Next, the configuration of the information processing system 1 including the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing system 1 according to the embodiment. As illustrated in FIG. 2, the information processing system 1 according to the embodiment includes an output device 10, a management company terminal 20, an advertiser terminal 30, and an information processing device 100. These various devices are communicably connected by wire or wireless via a network N (for example, the Internet). The information processing system 1 shown in FIG. 2 includes an arbitrary number of output devices 10, an arbitrary number of management company terminals 20, an arbitrary number of advertiser terminals 30, and an arbitrary number of information processing devices 100. It may be.

  The output device 10 is an information processing device that is installed in a common part of the site of an apartment house or the like, and outputs information about the advertisement content and provides information about the advertisement content to residents of the apartment house. The output device 10 is installed in an entrance of an apartment or in an elevator of an apartment. The output device 10 is realized by, for example, a digital signage, a printer, a speaker, and the like. The output device 10 outputs the advertisement content received from the information processing device 100. For example, when the output device 10 is a printer, the output device 10 outputs the advertisement content received from the information processing device 100 as a paper medium advertisement. When the output device 10 is a speaker, the output device 10 outputs the advertisement content received from the information processing device 100 by voice.

  The management company terminal 20 is an information processing device used by a condominium management company. The management company terminal 20 transmits information on the condominium to the information processing apparatus 100 in response to an operation of an employee of the condominium management company.

  The advertiser terminal 30 is an information processing device used by the advertiser. The advertiser terminal 30 transmits the advertisement information to the information processing device 100 according to the operation of the advertiser.

  The information processing device 100 is a server device that performs the information processing illustrated in FIG. The information processing device 100 acquires information about the apartment from the management company terminal 20. Further, the information processing device 100 acquires the advertisement information from the advertiser terminal 30. The information processing device 100 extracts, from the advertising content received from the advertiser terminal 30, advertising content that matches a segment that is an attribute of the apartment, based on the apartment information acquired from the management company terminal 20. In addition, the information processing device 100 distributes the extracted advertisement content to the digital signage 10 installed on the site of the apartment.

  Although FIG. 1 shows an example in which the information processing apparatus 100 acquires information about a condominium from a condominium management company, a real estate information providing service provided by a business operator that manages the information processing apparatus 100 transmits a condominium to a condominium. May be obtained. Further, the information processing apparatus 100 may acquire information on the apartment from both the apartment management company and the real estate information providing service.

[3. Configuration of information processing device]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing apparatus 100 includes an input unit (for example, a keyboard and a mouse) for receiving various operations from an administrator or the like of the information processing apparatus 100, and a display unit (for example, a liquid crystal display) for displaying various information. May have.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network by wire or wirelessly, and transmits and receives information between the output device 10, the management company terminal 20, and the advertiser terminal 30, for example. The communication unit 110 may be connected to a network by wire or wirelessly, and may transmit and receive information to and from an electronic lock operation panel installed at the entrance of the apartment.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 includes an apartment house information storage unit 121, an advertisement information storage unit 122, a schedule storage unit 123, a resident information storage unit 124, and an electronic lock history storage unit 125.

(Housing information storage unit 121)
The collective housing information storage unit 121 stores various types of information regarding collective housing such as condominiums. FIG. 4 illustrates an example of an apartment house information storage unit according to the embodiment. In the example shown in FIG. 4, the collective housing information storage unit 121 has items such as “management company ID”, “apartment ID”, “output terminal ID”, “apartment information”, and “tag information”.

  “Management company ID” indicates an ID for identifying a management company that manages an apartment. Generally, a management company manages a plurality of condominiums collectively. The management company ID “MN1” shown in FIG. 4 indicates that the ID for identifying a management company (management company MN1) that manages condominiums such as condominium M1, condominium M2, condominium M3,... Is MN1. .

  “Apartment ID” indicates an ID for identifying an apartment. The apartment (condominium M1) identified by the apartment ID “M1” shown in the first record in FIG. 4 corresponds to the apartment M1 shown in FIG.

  “Output terminal ID” indicates an ID for identifying digital signage installed on the site of the apartment. The output device (output device 10-1) identified by the output terminal ID “10-1” shown in the first record of FIG. 4 indicates that it is a digital signage installed on the premises of the apartment M1. Note that a plurality of output devices 10 may be installed in one apartment. For example, two types of output devices, a digital signage and a printer, may be installed in the apartment M1, or a plurality of digital signages may be installed.

  “Apartment information” stores various types of information about an apartment. The "Condominium Information" further includes "Condominium Type", "Average Household Annual Income (10,000 yen)", "Total Number of Units", "Number of Floors", "Building Age", "Type of Shared Facilities", "Location", "Pets" Yes / No ”.

  The “condominium type” indicates what kind of lifestyle the condominium is for residents. The apartment type “for families” shown in the first record of FIG. 4 indicates that the apartment M1 is an apartment for families with children. The apartment type “for DINKs” shown in the second record of FIG. 4 indicates that the apartment M2 is an apartment for a dual-working couple who has no children. The apartment type “for the elderly” shown in the third record of FIG. 4 indicates that the apartment M3 is an apartment for an elderly couple.

  “Average household annual income (10,000 yen)” indicates the average annual income of the households in the apartment. In the example shown in the first record of FIG. 4, the average household annual income (10,000 yen) “500” indicates that the average household annual income of the household occupying the condominium M1 is 5 million yen.

  The “total number of units” indicates the number of households that can enter the apartment building. In the following, the number of units may be used in the same meaning as the number of rooms in an apartment. The total number of houses “400” shown in the first record of FIG. 4 indicates that the number of households that can enter the apartment M1 is 400 (households).

  The “number of floors” indicates how many floors the building of the apartment is. The floor number “15” shown in the first record of FIG. 4 indicates that the building of the apartment M1 has 15 floors.

  “Building age” indicates the number of years elapsed since the completion of the apartment building. The age “1” shown in the first record of FIG. 4 indicates that the age after the completion of the building of the apartment M1 is one year.

  The “type of common facility” indicates the type of common facility of the inhabitants of the apartment. The type of common facility “parking lot” shown in the first record of FIG. 4 indicates that the apartment M1 has a parking lot as a common facility for residents.

  "Location" indicates the location where the building of the apartment is built. The location “Suburb of Tokyo” shown in the first record of FIG. 4 indicates that the location where the building of the apartment M1 is built is a suburb of Tokyo. The suburbs of Tokyo are, for example, outside the range of 25 km from the city center.

  "Pet availability" indicates whether or not pets are allowed in the apartment. Pet availability “impossible” shown in the first record of FIG. 4 indicates that it is not permitted to keep pets in the apartment M1.

  The “tag information” is a segment that is an attribute of a condominium, and stores a tag for matching a target condition of advertising content submitted by an advertiser. The “tag information” further includes small items such as “lifestyle”, “economic power”, “scale”, “age”, and “presence or absence of parking lot”.

  “Lifestyle” indicates a typical lifestyle of the residents of the apartment. The example lifestyle “for families” shown in the first record of FIG. 4 indicates that the typical lifestyle of the residents of the apartment M1 is a family with children. The lifestyle “for DINKs” shown in the second record of FIG. 4 indicates that the typical lifestyle of the residents of the apartment M2 is a dual-working couple without children. The lifestyle “for the elderly” shown in the third record of FIG. 4 indicates that the typical lifestyle of the residents of the apartment M3 is an elderly couple.

  “Economic power” indicates whether or not the inhabitants of the condominium have earned more than a predetermined threshold (for example, 10 million yen). The economic power “middle class” shown in the first record of FIG. 4 indicates that the inhabitants of the apartment M1 do not have an income of 10 million yen or more which is a predetermined threshold value. For example, the economic power “wealthy class” shown in the third record in FIG. 4 indicates that the inhabitants of the apartment M3 have earned an income of 10 million yen or more, which is a predetermined threshold value.

  "Scale" indicates the size of the apartment. The size of the condominium is relative, for example, it is considered to be proportional to the total number of units of the condominium. For example, a condominium where the total number of condominiums is 100 or more is a large condominium, a condominium where the total number of condominiums is 50 or more and less than 100 is a medium-sized condominium, and an condominium where the total number of condominiums is less than 50 is small. It is a condominium of scale. The scale “large scale” shown in the first record of FIG. 4 indicates that the apartment M1 is a large-scale apartment whose total number of apartments is 100 or more.

  The “age” indicates whether the apartment is new or second-hand. For example, an apartment with an age of less than two years is a new apartment, and an apartment with an age of two years is a used apartment. The age of construction “new construction” shown in the first record of FIG. 4 indicates that the apartment M1 is a newly constructed apartment with an age of less than two years.

  "Presence / absence of parking lot" indicates whether or not the apartment has a parking lot. The presence or absence of a parking lot “Yes” shown in the first record of FIG. 4 indicates that the apartment M1 has a parking lot. The presence or absence of a parking lot “No” shown in the second record of FIG. 4 indicates that the apartment M2 has no parking lot.

(Advertising information storage unit 122)
The advertisement information storage unit 122 stores various types of information related to advertisements submitted by advertisers. FIG. 5 illustrates an example of the advertisement information storage unit according to the embodiment. In the example illustrated in FIG. 5, the advertisement information storage unit 122 stores “advertiser ID”, “advertisement ID”, “advertisement content”, “advertisement target”, “target condition”, “number of impressions (imps)”, “advertisement” Budget (10,000 yen).

  “Advertiser ID” indicates an ID for identifying an advertiser who has submitted an advertisement. In the example shown in the first record of FIG. 5, the advertiser identified by the advertiser ID “A11” (advertiser A11) corresponds to the advertiser A11 shown in FIG.

  “Advertisement ID” indicates an ID for identifying an advertisement received from an advertiser. The advertisement (advertisement AD11) identified by the advertisement ID “AD11” shown in the first record of FIG. 5 corresponds to the advertisement AD11 shown in FIG.

  “Advertisement content” indicates advertisement content received from an advertiser. The advertising content (advertising content AD # 11) identified by the advertising content “AD # 11” shown in the first record of FIG. 5 indicates that it is the advertising content received from the advertiser A11.

  “Advertisement target” indicates a product or service targeted for the advertisement received from the advertiser. The advertisement target “intermediate car” shown in the first record of FIG. 5 indicates that the product to be advertised by the advertisement AD11 received from the advertiser A11 is an intermediate car.

  The “target condition” indicates a segment which is an attribute of a condominium designated by the advertiser as an advertisement distribution destination. The target condition “for families” shown in the first record in FIG. 5 indicates that the apartment segment specified by the advertiser A11 as the distribution destination of the advertisement AD11 is a family apartment.

  "Impressions (imps)" indicates the number of impressions of an advertisement received from an advertiser. The number of impressions (imps) “1000” shown in the first record of FIG. 5 indicates that the number of impressions of the advertisement AD11 received from the advertiser A11 is 1,000.

  “Advertising budget (10,000 yen)” indicates an advertising budget received from an advertiser. The advertisement budget (10,000 yen) “30” shown in the first record of FIG. 5 indicates that the advertisement budget of the advertisement AD11 received from the advertiser A11 is 300,000 yen.

(Schedule storage unit 123)
The schedule storage unit 123 stores various types of information relating to a distribution schedule of advertisement content to be output to digital signage installed on the site of the apartment. FIG. 6 illustrates an example of the schedule storage unit according to the embodiment. In the example illustrated in FIG. 6, the schedule storage unit 123 includes items such as “output terminal ID”, “type”, “time zone”, and “advertisement ID”.

  “Output terminal ID” indicates an ID for identifying an output device to which the advertisement content is distributed. The output terminal (output device 10-1) identified by the output terminal ID “10-1” shown in the first record of FIG. 6 is a digital signage 10-1 installed on the site of the apartment M1 shown in FIG. Corresponding to

  “Type” indicates a type related to a type such as a day of the week when the advertisement content is distributed to the output device. The example of FIG. 6 shows a case where the “type” is two of “weekday” and “weekend”. The “type” is not limited to the two types “weekday” and “weekend”, and may be various types according to the purpose. For example, the “type” may be seven types according to each day of the week, such as “Monday”, “Tuesday”, and “Wednesday”. “Time zone” indicates a time zone in which the advertising content is delivered to the output terminal. In the example shown in the third record of FIG. 6, the time period “17:00 to 21 o'clock” of the type “weekday” indicates that the date and time at which the advertisement AD11 shown in FIG. 1 is distributed to the digital signage 10-1 is 17:00 p.m. on weekdays. To 21:00 pm.

  The “advertisement ID” indicates an ID for identifying an advertisement delivered to the output terminal in that time zone. In the example shown in the third record of FIG. 6, the advertisement identified by the advertisement ID “AD11” corresponds to the advertisement AD11 shown in FIG.

(Resident information storage unit 124)
The resident information storage unit 124 stores various types of information regarding residents of the apartment. FIG. 7 illustrates an example of the resident information storage unit according to the embodiment. In the example shown in FIG. 7, the resident information storage unit 124 has items such as “apartment ID”, “room number ID”, “electronic lock ID”, and “user ID”.

  “Apartment ID” indicates an ID for identifying an apartment. The apartment (condominium M1) identified by the apartment ID “M1” shown in the first record in FIG. 7 corresponds to the apartment M1 shown in FIG.

  “Room number ID” indicates a room number in each apartment. The room number “R11” shown in the first record of FIG. 7 indicates that the room number in the apartment M1 is R11.

  “Electronic lock ID” indicates an ID for identifying an electronic lock possessed by a resident of each room of the apartment. The electronic lock is used for opening and closing a door of a room, which is an exclusive part of each resident, opening an automatic door which is a common entrance of an apartment, calling an elevator, and taking out luggage stored in a delivery box. The electronic lock (electronic lock EK11) identified by the electronic lock ID “EK11” shown in the first record of FIG. 7 indicates that the room number of the apartment M1 is an electronic lock owned by a resident of R11.

  “User ID” indicates an ID for identifying a user who is a resident of each room of the apartment. The “user ID” is, for example, a user ID of a resident who uses a service provided by a company B managing the information processing apparatus 100. The company B provides a plurality of services such as an e-commerce service, a map service, and a navigation service to a user who is a resident of each room of the apartment. Further, the company B gives a user who is a resident of each room of the apartment a user ID that can be commonly used across a plurality of services. The user U11 identified by the user ID “U11” shown in the first record in FIG. 7 indicates that he is a resident of the room number R11 of the apartment M1.

(Electronic lock history storage unit 125)
The electronic lock history storage unit 125 stores various information related to the operation history of the electronic lock performed at the entrance of each apartment. FIG. 8 illustrates an example of the electronic lock history storage unit according to the embodiment. In the example illustrated in FIG. 8, the electronic lock history storage unit 125 has items such as “apartment ID”, “operation date and time”, and “electronic lock ID”.

  “Apartment ID” indicates an ID for identifying an apartment. “Operation date and time” indicates the date and time when the electronic lock was operated at the entrance of each apartment. “Electronic lock ID” indicates an ID for identifying an electronic lock operated at the entrance of each apartment. The example shown in the first record of FIG. 8 indicates that the electronic lock EK11 was operated at 18:30 pm on July 1, 2018 at the entrance of the apartment M1.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device inside the information processing apparatus 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Are implemented by executing various programs (corresponding to an example of a generation program) using a RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  As illustrated in FIG. 3, the control unit 130 includes an acquisition unit 131, a classification unit 132, a reception unit 133, an extraction unit 134, a determination unit 136, a distribution unit 137, and a calculation unit 138. The functions of the information processing described below are realized or executed. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as it performs information processing to be described later.

(Acquisition unit 131)
The acquisition unit 131 acquires information on an apartment house. Specifically, the obtaining unit 131 obtains information about a condominium from a condominium management company. Note that the acquisition unit 131 may acquire information about an apartment from a server device of a real estate information providing service provided by a company B that manages the information processing device 100. For example, the acquisition unit 131 obtains information on the lifestyle, economic power, behavior, and behavior on the network of the residents in the apartment, as the information on the apartment, or the brand name, the total number of units, the number of floors, the age of the apartment, and the common use of the apartment. Acquire information on the type of facility, location, or changes in asset value. When acquiring section 131 acquires the information about the apartment house, the acquiring section 131 stores the acquired information about the apartment house in the apartment house information storage section 121.

  In addition, the acquisition unit 131 acquires information on the residents of the apartment from the management company of the apartment. Specifically, the acquiring unit 131 acquires an electronic lock ID for identifying an electronic lock corresponding to a room number, as information on residents of the apartment. When acquiring the electronic lock ID, the acquiring unit 131 stores the electronic lock ID in the resident information storage unit 124 in association with the room number. In addition, the acquisition unit 131 acquires the user ID of the user whose address information corresponding to each room of the apartment is registered. For example, the acquisition unit 131 acquires the user ID of the user whose address corresponding to the apartment room number is specified as the delivery destination, based on the order history of the e-commerce service provided by the company B. Upon acquiring the user ID, the acquiring unit 131 stores the user ID in the resident information storage unit 124 in association with the room number.

(Classification unit 132)
The classification unit 132 classifies the apartment houses based on the information on the apartment houses acquired by the acquisition unit 131. Specifically, the classification unit 132 is a segment that is an attribute of the apartment house, based on the information about the apartment house acquired by the acquisition unit 131, and matches the target condition of the advertisement content submitted by the advertiser. The apartment is classified by assigning a tag for causing the apartment to run. When the tag is assigned to the apartment house, the classification unit 132 stores the tag assigned in association with the ID for identifying the apartment house in the tag information of the apartment house information storage unit 121. In this way, the classification unit 132 classifies the apartment houses based on the tags attached to the apartment houses. For example, the classifying unit 132 outputs information on the lifestyle, economic power, behavioral style, behavioral style on the network of the residents in the apartment house acquired by the acquisition unit 131 or the brand name of the apartment house, the total number of units, the number of floors, the age of the building, The multi-family housing is classified based on any one of the information on the type of the common facility, the location, or the change in the asset value.

  For example, the classification unit 132 attaches a tag indicating a lifestyle (lifestyle) of a resident to the apartment based on the information on the apartment type acquired by the acquisition unit 131. Subsequently, the classification unit 132 classifies the apartments for each lifestyle based on tags indicating the lifestyles of the residents attached to the apartments. In the example illustrated in FIG. 1, the classifying unit 132 assigns “family” as a tag indicating a lifestyle to the apartment M1 and the apartment M4 based on the information that the apartment type of the apartment M1 and the apartment M4 is “family oriented”. Tags. In addition, based on the information that the apartment type of the apartment M2 and the apartment M5 is “for DINKs”, the classification unit 132 assigns a tag “for DINKs” as a tag indicating a lifestyle to the apartment M2 and the apartment M5. Give. In addition, the classification unit 132 may call the apartment M3 and the apartment M6 “for the elderly” as a tag indicating a lifestyle based on the information that the apartment type of the apartment M3 and the apartment M6 is “for the elderly”. Assign tags. Subsequently, the classification unit 132 classifies the apartments M1 to M6 into three types of “for families”, “for DINKs”, and “for elderly people” based on tags indicating the lifestyles of the residents attached to the apartments M1 to M6. Classify into segments.

  In addition, the classification unit 132 assigns a tag indicating the economic power of the inhabitants to the apartment based on the information on the average household annual income acquired by the acquisition unit 131. Subsequently, the classification unit 132 classifies the condominiums based on the economic power of the inhabitants based on the tags assigned to the condominiums and indicating the economic power of the inhabitants. For example, the classification unit 132 determines that the inhabitants whose average household annual income is less than 10 million yen are the middle class and the inhabitants whose average household annual income is 10 million or more are the wealthy. In the example shown in FIG. 1, the classifying unit 132 classifies the residents of the apartment M1, the apartment M2, and the apartment M6 into the middle class because the average annual income of the residents of the apartment M1, the apartment M2, and the apartment M6 is less than 10 million yen. It is determined that there is. Subsequently, the classification unit 132 has determined that the inhabitants of the apartment M1, the apartment M2, and the apartment M6 are the middle class, and therefore, as a tag indicating the economic power of the inhabitants, Tag "middle layer". In addition, the classifying unit 132 determines that the residents of the apartment M3, the apartment M4, and the apartment M5 are wealthy because the average annual income of the residents of the apartment M3, the apartment M4, and the apartment M5 is equal to or more than 10 million yen. Subsequently, the classification unit 132 has determined that the inhabitants of the apartment M3, the apartment M4, and the apartment M5 are the wealthy, so that the apartment M3, the apartment M4, and the apartment M5 have a tag " Affluent tags. Subsequently, the classification unit 132 classifies the condominiums M1 to M6 into two types of segments, “middle class” and “wealthy class”, based on tags indicating the economic power of the residents provided to the condominiums M1 to M6.

  Further, the classification unit 132 attaches a tag indicating the size of the apartment to the apartment based on the information on the total number of apartments acquired by the acquisition unit 131. Subsequently, the classification unit 132 classifies the condominiums for each condominium size based on the tag indicating the condominium size given to the condominium. For example, the classification unit 132 determines that an apartment with a total number of less than 50 units is small, an apartment with a total number of 50 or more and less than 100 units is medium-sized, and an apartment with a total number of 100 or more is large. I do. In the example illustrated in FIG. 1, the classification unit 132 determines that the size of the apartment M3 and the apartment M5 is small because the total number of the apartments M3 and M5 is less than 50. Subsequently, since the classification unit 132 determines that the scale of the apartment M3 and the apartment M5 is small, the tag “small” is assigned to the apartment M3 and the apartment M5 as a tag indicating the scale of the apartment. Is given. Further, since the total number of condominiums M2 is 50 or more and less than 100, the classification unit 132 determines that the size of the condominium M2 is medium. Subsequently, the classification unit 132 subsequently determines that the size of the apartment M2 is medium-sized, and thus attaches a tag “medium-sized” to the apartment M2 as a tag indicating the size of the apartment. In addition, since the total number of the apartments M1, M4, and M6 is 100 or more, the classification unit 132 determines that the scale of the apartment M1, the apartment M4, and the apartment M6 is large. Subsequently, the classification unit 132 subsequently determines that the size of the condominium M1, the condominium M4, and the condominium M6 is large, so that the condominium M1, the condominium M4, and the condominium M6 have a tag indicating the size of the condominium. A tag "Large scale" is given. Subsequently, the classification unit 132 classifies the condominiums M1 to M6 into three types of segments, “small”, “medium”, and “large”, based on tags indicating the size of the condominiums assigned to the condominiums M1 to M6. Classify.

  In addition, the classification unit 132 attaches a tag indicating the presence or absence of a predetermined type of common facility to the apartment based on the information on the type of common facility of the apartment acquired by the acquisition unit 131. Subsequently, the classification unit 132 classifies the condominium for each common facility based on the tag indicating the presence or absence of the common facility assigned to the condominium. For example, the classification unit 132 attaches a tag indicating the presence or absence of a parking lot to an apartment based on the presence or absence of a parking lot that is a shared facility. In the example illustrated in FIG. 1, the classifying unit 132 determines whether or not the condominium M1 and the condominium M4 have a parking lot based on the information that the type of shared facility of the condominium M1 and the condominium M4 is a parking lot. A tag “Yes” is given. In addition, since the classification unit 132 does not include a parking lot in the types of shared facilities of the apartment M2, the apartment M3, the apartment M5, and the apartment M6, the parking lot is not included in the apartment M2, the apartment M3, the apartment M5, and the apartment M6. The tag “absence” is added as a tag indicating presence / absence of “. Subsequently, the classification unit 132 classifies the condominiums M1 to M6 into two types of segments, “parking lot available” and “no parking lot”, based on tags indicating the presence or absence of a parking lot given to the condominiums M1 to M6. .

(Reception unit 133)
The receiving unit 133 receives, from the advertiser, the submission of the advertisement content along with the target conditions for the target layer of the advertisement, the name of the product or service targeted for the advertisement, the number of impressions, and the advertisement budget. Upon receiving the submission of the advertisement content, the reception unit 133 stores the advertisement content in the advertisement information storage unit 122 together with the target condition and the like.

  For example, the accepting unit 133 accepts the advertising content AD11 relating to an intermediate car to be advertised by the advertiser A11. In addition, the receiving unit 133 receives, from the advertiser A11, the condition that the lifestyle of the residents of the apartment is "for families" as the target condition of the advertisement AD11. In addition, the receiving unit 133 receives, as a target condition of the advertisement AD11, a condition that an inhabitant of the apartment is a “middle-class” apartment from the advertiser A11. In addition, the receiving unit 133 receives, from the advertiser A11, a condition of a condominium having a parking lot (a condominium with a parking lot “Yes”) as a common facility of the condominium, as a target condition of the advertisement AD11.

  In addition, the receiving unit 133 receives the advertisement content AD21 related to the used condominium sale mediation service targeted by the advertiser A21. In addition, the receiving unit 133 receives, from the advertiser A21, a condition of an apartment whose apartment type is “for DINKs” as a target condition of the advertisement AD21. In addition, the receiving unit 133 receives, from the advertiser A21, a condition that the age of the apartment is "used" as the target condition of the advertisement AD21.

  In addition, the receiving unit 133 receives the advertisement content AD31 related to the nursing care service to be advertised by the advertiser A31. In addition, the receiving unit 133 receives, from the advertiser A31, a condition of an apartment whose apartment type is "for the elderly" as a target condition of the advertisement AD31. In addition, the reception unit 133 receives, from the advertiser A31, a condition that the apartment is a condominium where the inhabitants are “wealthy” as the target condition of the advertisement AD31. In addition, the receiving unit 133 receives, from the advertiser A31, a condition that the size of the apartment is “small” as the target condition of the advertisement AD31.

  In addition, the receiving unit 133 receives the advertising content AD41 related to a luxury car to be advertised by the advertiser A41. In addition, the receiving unit 133 receives, from the advertiser A41, a condition that the apartment type is "for families" as a target condition of the advertisement AD41. In addition, the receiving unit 133 receives, from the advertiser A41, a condition that the residential class of the condominium is an "affluent class" as the target condition of the advertisement AD41. In addition, the reception unit 133 receives, from the advertiser A41, a condition of a condominium having a parking lot (a condominium with a parking lot “Yes”) as a common facility of the condominium, as a target condition of the advertisement AD41.

  In addition, the receiving unit 133 receives the advertising content AD51 related to the weight scale to be advertised by the advertiser A51. In addition, the receiving unit 133 receives, from the advertiser A51, a condition that the apartment type is “for DINKs” as the target condition of the advertisement AD51. In addition, the receiving unit 133 receives, from the advertiser A51, the condition that the age of the condominium is “newly built” as the target condition of the advertisement AD51.

  In addition, the receiving unit 133 receives the advertisement content AD61 relating to the food delivery service targeted by the advertiser A61. In addition, the receiving unit 133 receives, from the advertiser A61, the condition that the apartment type is “for the elderly” as the target condition of the advertisement AD61. In addition, the receiving unit 133 receives, from the advertiser A61, the condition that the inhabitant of the apartment is the “middle class” as the target condition of the advertisement AD61. In addition, the receiving unit 133 receives, from the advertiser A61, the condition that the size of the apartment is “large” as the target condition of the advertisement AD61.

(Extraction unit 134)
The extraction unit 134 extracts the advertisement content to be output to the output device installed on the site of the apartment house, based on the information about the apartment house acquired by the acquisition unit 131. Specifically, the extraction unit 134 extracts the advertisement content to be output to the output device installed on the site of the apartment house based on the classification result classified by the classification unit 132. More specifically, the extraction unit 134 outputs the output device installed on the site of the apartment house based on the matching result between the tag given by the classification unit 132 and the target condition of the advertising content submitted by the advertiser. Extract the advertising content output to For example, the extraction unit 134 refers to the tag information of the collective housing information storage unit 121 and the target condition of the advertisement information storage unit 122, and collects the advertisement content in which the tag given by the classification unit 132 matches the target condition. It is extracted as advertisement content output to an output device installed on the site of the house. The extraction unit 134 determines the priority of the tag to be matched with the advertisement content according to the compatibility with the advertisement content. Subsequently, the extraction unit 134 matches the target conditions in order from the tag with the highest priority. Subsequently, the extracting unit 134 sequentially extracts the advertising content that matches the tag with the highest priority. Alternatively, the extraction unit 134 may assign a weight to the tag to be matched with the advertisement content. Subsequently, the extracting unit 134 sequentially extracts the advertising content that matches the tag according to the magnitude of the weight. Note that the extraction unit 134 may receive, from the advertiser, the priority and weight of the tag to be matched with the advertising content, together with the targeting condition.

  For example, the extraction unit 134 determines the priority of the tag to be matched with the advertisement content in the order of lifestyle, economic strength, scale, age, and presence or absence of a common facility. The extraction unit 134 extracts the advertisement content AD11 and the advertisement content AD41 as the advertisement content whose target condition matches the tag “for family” indicating the lifestyle given to the apartment M1. Subsequently, the extraction unit 134 determines the advertisement content AD11 as the advertisement content whose target condition matches the tag “middle class” indicating the inhabitant demographic of the condominium given to the apartment M1 among the advertisement content AD11 and the advertisement content AD41. Is extracted. Note that, when there is a plurality of pieces of advertisement content in which the tag attached to the apartment and the target condition of the advertisement content submitted by the advertiser match, the extraction unit 134 determines that the number of matching conditions is the most A large number of advertisement contents may be extracted.

  In addition, the extraction unit 134 extracts the advertisement content AD21 and the advertisement content AD51 as the advertisement content whose target condition matches the tag “for DINKs” indicating the lifestyle given to the apartment M2. Subsequently, the extraction unit 134 determines that the tag “middle class” indicating the inhabitant demographic of the condominium assigned to the apartment M2 among the advertising content AD21 and the advertising content AD51 matches the target condition with the advertising content AD21. Is extracted. The extraction unit 134 extracts the advertisement content AD21 as the advertisement content whose target condition matches the tag “used” indicating the age of the apartment provided to the apartment M2 from the advertisement content AD21 and the advertisement content AD51. May be.

  In addition, the extraction unit 134 extracts the advertisement content AD31 and the advertisement content AD61 as the advertisement content whose target condition matches the tag “for the elderly” indicating the lifestyle given to the apartment M3. Subsequently, the extraction unit 134 determines, as the advertisement content whose target condition matches the tag “wealthy class” indicating the inhabitant demographic of the apartment given to the apartment M3, of the advertisement content AD31 and the advertisement content AD61, the advertisement content AD31 Is extracted. The extraction unit 134 extracts the advertisement content AD31 as the advertisement content whose target condition matches the tag “small” indicating the size of the apartment provided to the apartment M3, from the advertisement content AD31 and the advertisement content AD61. May be.

  Further, the extracting unit 134 extracts the advertisement content AD11 and the advertisement content AD41 as the advertisement content whose target condition matches the tag “for family” indicating the lifestyle given to the apartment M4. Subsequently, the extraction unit 134 determines the advertisement content AD41 as the advertisement content whose target condition matches the tag “wealthy class” indicating the residential class of the apartment provided to the apartment M4 among the advertisement content AD11 and the advertisement content AD41. Is extracted.

  Further, the extracting unit 134 extracts the advertisement content AD21 and the advertisement content AD51 as the advertisement content whose target condition matches the tag “for DINKs” indicating the lifestyle given to the apartment M5. Subsequently, the extraction unit 134 determines the advertisement content AD51 as the advertisement content matching the target condition with the tag “wealthy class” indicating the inhabitant demographic of the apartment given to the apartment M5 among the advertisement content AD21 and the advertisement content AD51. Is extracted. The extraction unit 134 extracts the advertisement content AD51 as the advertisement content whose target condition matches the tag “new construction” indicating the age of the condominium given to the apartment M5 among the advertisement content AD21 and the advertisement content AD51. May be.

  In addition, the extraction unit 134 extracts the advertisement content AD31 and the advertisement content AD61 as the advertisement content whose target condition matches the tag “for the elderly” indicating the lifestyle given to the apartment M6. Subsequently, the extraction unit 134 determines that the advertisement content AD61 as the advertisement content whose target condition matches the tag “middle class” indicating the inhabitant demographic of the apartment provided to the apartment M6 among the advertisement content AD31 and the advertisement content AD61. Is extracted. Note that the extraction unit 134 extracts the advertisement content AD61 as the advertisement content whose target condition matches the tag "large" indicating the size of the apartment provided to the apartment M6, from the advertisement content AD31 and the advertisement content AD61. May be.

  In addition, the extracting unit 134 extracts advertisement content to be output to an output device installed in an elevator on the site of an apartment complex or an output device installed in an entrance of the site of an apartment complex. In addition, the extracting unit 134 extracts advertisement content to be output to an output device that is a digital signage, a printer, or a speaker. For example, the extraction unit 134 extracts advertisement content that is an image to be displayed on digital signage installed at the entrance of an apartment. In addition, the extracting unit 134 extracts advertising content which is an image to be displayed on a display installed in an elevator of an apartment. Further, the extracting unit 134 extracts the advertisement content which is a sound to be output to a speaker installed at the entrance of the apartment.

  In addition, the extraction unit 134 is installed on the site of the apartment house based on the matching result between the resident segment, which is the attribute of the resident determined by the determination unit 135, and the target condition of the advertising content submitted by the advertiser. The advertisement content output to the output device is extracted. Specifically, the extracting unit 134 extracts the advertising content in which the resident segment determined by the determining unit 135 matches the target condition as the advertising content to be output to the output device installed on the site of the apartment house. For example, the extraction unit 134 extracts the advertisement AD12 of a nearby supermarket, which is an advertisement for women, as the advertisement content whose target condition matches that of the woman as the resident segment determined by the determination unit 135. In addition, the extraction unit 134 extracts an advertisement AD13 of an animation, which is an advertisement for children, as advertisement content in which the target condition matches the child, which is the resident segment determined by the determination unit 135. In addition, the extraction unit 134 extracts an advertisement AD11 of an intermediate car, which is an advertisement for men, as the advertisement content whose target condition matches that of the resident segment determined by the determination unit 135.

  The extracting unit 134 extracts the advertising content to be delivered to the output device based on the delivery schedule determined by the determining unit 136. For example, the determination unit 136 determines an advertisement space of the digital signage 10-1 installed in the apartment M1. For example, the determination unit 136 determines four time zones as the advertising space of the digital signage 10-1. For example, the determination unit 136 determines the first frame at 9:00 to 12:00, the second frame at 12:00 to 15:00, the third frame at 15:00 to 17:00, and the fourth frame at 17:00 to 21:00. Based on the distribution schedule determined by the determination unit 136, the extraction unit 134 extracts, as the advertisement content to be distributed in the first and second frames, the advertisement AD12 of a nearby supermarket, which is an advertisement for women, in the neighborhood. Further, the extracting unit 134 extracts the advertisement AD13 of the animation, which is an advertisement for children, as the advertisement content to be distributed to the third frame, based on the distribution schedule determined by the determining unit 136. Further, the extracting unit 134 extracts the advertisement AD11 of the intermediate car, which is an advertisement for men, as the advertisement content to be distributed in the fourth frame, based on the distribution schedule determined by the determining unit 136.

(Determining unit 135)
The determination unit 135 determines the attribute of a resident who is located within a predetermined range from the position where the output device is installed, based on image information of the resident who is photographed by a camera installed in the space where the output device is installed. Determine the segment. Specifically, the determination unit 135 is an image captured by a camera installed in a space where the digital signage is installed within a predetermined period, and is located within a predetermined range from the position where the digital signage is installed. Get images of residents. Subsequently, the determination unit 135 analyzes the acquired image and determines a resident segment that is an attribute of a resident located within a predetermined range from the position where the digital signage is installed.

  For example, the determination unit 135 frequently appears to residents located within a predetermined range from the position where the digital signage 10-1 installed at the entrance of the apartment M1 is installed at the time zone of 9:00 to 15:00 on weekdays. It is determined that there are many women in the residents segment. In addition, the determination unit 135 frequently appears to residents located within a predetermined range from the position where the digital signage 10-1 installed at the entrance of the apartment M1 is installed in the time zone of 15:00 to 17:00 on weekdays. It is determined that there are many children in the residents segment. In addition, the determination unit 135 frequently appears to the residents located within a predetermined range from the position where the digital signage 10-1 installed at the entrance of the apartment M1 is installed in the time zone of 17:00 to 21:00 on weekdays. It is determined that there are many men as the residents segment.

(Determining unit 136)
The determining unit 136 determines a distribution schedule for distributing the advertising content to the output device. Specifically, the determination unit 136 determines a distribution schedule for distributing the advertisement content extracted by the extraction unit 134 to the output device. The determination unit 135 analyzes the acquired image to determine a resident segment that frequently appears statistically frequently for each time zone. The extracting unit 134 extracts, for each time period, advertising content in which the resident segment determined by the determining unit 135 matches the target condition as the advertising content output to the output device installed on the site of the apartment house. The determining unit 136 determines that the advertisement content extracted for each time period by the extracting unit 134 is to be distributed to the output device in the time period. When determining the distribution schedule, the determining unit 136 stores the determined distribution schedule in the schedule storage unit 123.

  For example, the deciding unit 136 decides to distribute the advertising content AD12 extracted by the extracting unit 134 to the digital signage 10-1 installed at the entrance of the apartment M1 in the time zone of 9:00 to 15:00 on weekdays. I do. In addition, the determination unit 136 determines to distribute the advertising content AD13 extracted by the extraction unit 134 to the digital signage 10-1 installed at the entrance of the condominium M1 during the time zone of 15:00 to 17:00 on weekdays. I do.

  In addition, the determination unit 136 determines that the advertisement content AD11 extracted by the extraction unit 134 is to be distributed to the digital signage 10-1 installed at the entrance of the condominium M1 during the time zone of 17:00 to 21:00 on weekdays. I do.

(Distribution unit 137)
The distribution unit 137 distributes the advertisement content extracted by the extraction unit 134 to the output device based on the distribution schedule determined by the determination unit 136. Specifically, the distribution unit 137 distributes the extracted advertisement content to the output device with reference to the schedule storage unit 123. For example, in the example illustrated in FIG. 6, the distribution unit 137 determines that the advertisement AD12 of a nearby supermarket, which is an advertisement for women, is installed at the entrance of the apartment M1 in the time zone of 9:00 to 15:00 on weekdays. Deliver to signage 10-1. In addition, during the time period from 15:00 to 17:00 on weekdays, the delivery unit 137 delivers the advertisement AD13 of the animation, which is an advertisement for children, to the digital signage 10-1 installed at the entrance of the apartment M1. In addition, during the time period from 17:00 to 21:00 on weekdays, the distribution unit 137 distributes the advertisement AD11 of the intermediate car, which is an advertisement for men, to the digital signage 10-1 installed at the entrance of the apartment M1.

(Calculation unit 138)
The calculating unit 138 outputs the operation information on the operation history of the electric lock at the entrance of the space where the output device is installed, and outputs the operation information to the output device based on the operation information at the time when the advertisement content is output to the output device. Advertisement index indicating the advertising effect of the advertisement content thus calculated is calculated. Specifically, the calculation unit 138 acquires operation information on the operation history of the electric lock at the entrance of the space where the output device is installed, and the operation information at the time when the advertisement content is output to the output device. . For example, the calculation unit 138 acquires operation information on the operation history of the electric lock from the management company terminal 20 at a predetermined frequency (for example, once a month). Note that the communication unit 110 of the information processing apparatus 100 and the electronic lock operation panel may be connected via a network, and the calculation unit 138 may acquire operation information regarding the operation history of the electric lock in real time. When acquiring the operation information on the operation history of the electric lock, the calculation unit 138 stores the obtained operation information in the electronic lock history storage unit 125.

  For example, the calculation unit 138 calculates the number of times the advertisement content has been viewed as an advertisement index based on the acquired operation information. Specifically, the calculation unit 138 refers to the schedule storage unit 123 and the electronic lock history storage unit 125 to obtain operation information in a time zone in which the advertisement content to be calculated is distributed. For example, the calculation unit 138 refers to the schedule storage unit 123 and the electronic lock history storage unit 125, and refers to the afternoon of a weekday when the advertisement content AD11 is distributed for a predetermined period (for example, the past month). Operation information from 17:00 to 21:00 is acquired. Subsequently, the calculation unit 138 determines that the number of operation of the electronic lock from 17:00 pm to 21:00 pm on a weekday during a predetermined period (for example, the past month) is the number of residents viewing the advertisement content AD11. Considering this, the number of browsing of the advertising content AD11 is calculated.

  Here, the relationship between the number of operations of the electronic lock by residents of the apartment M1 and the number of times the digital signage 10-1 installed in the apartment M1 is viewed will be described in detail with reference to FIG. FIG. 9 is a diagram illustrating an example of information processing according to the embodiment. In the example shown in FIG. 9, the area of the apartment M1 is divided into three areas: a living part M1-R where residents of the apartment M1 live, an entrance part M1-E which is an entrance of the apartment M1, and a passage part M1-C. Can be The entrance part M1-E is further divided into two areas: a common hall and a common entrance. The common hall and the common entrance are separated by an electronic lock / unlock door D12. In order for the residents of the apartment M1 to enter the common hall side area from the condominium common entrance side area, the entrance part M1-E is shared. An unlocking operation by an electronic lock on an electronic lock operation panel installed at the entrance is required. The digital signage 10-1 is installed in a common hall of the entrance part M1-E, and is installed at a position where residents can enter the common hall.

  The electronic lock operation panel installed at the common entrance acquires the history of the unlocking operation of the electronic lock, for example, every time the non-contact electronic lock is held over the electronic lock operation panel. The electronic lock operation panel, when acquiring the history of the unlocking operation of the electronic lock, stores the acquired operation information in the storage unit. The electronic lock unlocking door D12 opens the electronic lock unlocking door D12 upon detecting that the unlocking operation of the electronic lock has been performed with reference to the storage unit of the electronic lock operation panel.

  For example, the user U11 who is a resident of the apartment M1 moves from the outside of the apartment M1 to the electronic lock operation panel installed at the shared entrance through the automatic door D11. Subsequently, the user U11 who is a resident performs an unlocking operation using the electronic lock by holding the non-contact type electronic lock EK11 over the electronic lock operation panel. For example, it is assumed that the unlocking operation by the user U11 who is a resident of the apartment M1 is performed on weekdays at 18:30 pm. When the non-contact type electronic lock EK11 is held over the electronic lock operation panel, the electronic lock operation panel acquires the history of the unlocking operation of the electronic lock EK11 and stores it in the storage unit. Subsequently, when detecting that an unlocking operation has been performed from the storage unit of the electronic lock operation panel, the electronic lock unlocking door D12 connecting the common entrance and the common hall is opened. Subsequently, since the electronic lock unlocking door D12 is opened, the user U11 who is a resident moves from the common entrance side to the common hall side through the electronic lock unlocking door D12. When the user U11 enters the shared hall, the digital signage 10-1 is installed at a prominent position in the shared hall, so that the user U11 who is a resident is likely to visually recognize the screen of the digital signage 10-1. The distribution unit 137 distributes the advertisement content AD11 of the intermediate car to the digital signage 10-1 during the time zone from 17:00 pm to 21:00 pm on weekdays. Therefore, it is estimated that the user U11 who entered the shared hall at 18:30 pm on weekdays browsed the advertisement content AD11 of the intermediate car displayed on the screen of the digital signage 10-1. Note that the user U11 who is a resident moves from the shared hall side to the passage portion M1-C through the automatic door D13, and moves to the living portion M1-R through the passage portion M1-C.

[4. Classification process flow]
Next, the procedure of the classification process according to the embodiment will be described with reference to FIG. FIG. 10 is a flowchart illustrating a classification processing procedure according to the embodiment. In the example illustrated in FIG. 10, the information processing device 100 determines whether or not information on an apartment house has been acquired (Step S101). When the information processing apparatus 100 determines that the information regarding the apartment house has not been acquired (step S101; No), the processing ends.

  When the information processing apparatus 100 determines that the information on the apartment house has been acquired (step S101; Yes), the information processing apparatus 100 adds a tag for matching the target condition of the advertisement content to the apartment house (step S102).

  Subsequently, when a tag is attached to the apartment house, the information processing apparatus 100 classifies the apartment house into segments that are attributes of the apartment house based on the attached tag (step S103).

[5. Information processing flow)
Next, a procedure of information processing according to the embodiment will be described with reference to FIG. FIG. 11 is a flowchart illustrating an information processing procedure according to the embodiment. In the example illustrated in FIG. 11, the information processing apparatus 100 determines whether or not the target condition of the advertisement content has been acquired (Step S201). When the information processing device 100 determines that the target condition of the advertisement content has not been acquired (step S201; No), the process ends.

  When determining that the target condition of the advertising content has been acquired (Step S201; Yes), the information processing apparatus 100 extracts the advertising content that matches the tag attached to the apartment house (Step S202).

  Subsequently, when the advertisement content is extracted, the information processing apparatus 100 determines a distribution schedule of the advertisement content to be output to the digital signage installed on the site of the apartment (Step S203).

  Subsequently, when determining the distribution schedule, the information processing apparatus 100 distributes the advertisement content to digital signage installed on the site of the apartment based on the determined distribution schedule (Step S204).

[6. Modification)
The information processing system 1 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, another embodiment of the information processing system 1 will be described below. The same parts as those of the embodiment are denoted by the same reference numerals, and description thereof will be omitted.

[6-1. Extraction of advertising content suitable for individual residents)
In FIG. 1, the information processing apparatus 100 extracts advertisement content based on a segment which is an attribute of a condominium, determines a distribution schedule of the extracted advertisement content, and distributes the advertisement content based on the determined distribution schedule. An example has been described. In a modified example, the information processing apparatus 100 determines in real time a resident segment which is an attribute of a resident passing in front of the signage. Then, an example of information processing in which the information processing apparatus 100 extracts and distributes advertisement content matching the resident segment determined in real time will be described. Note that, in the modified example, the same components as those of the embodiment are denoted by the same reference numerals, and description thereof is omitted.

  More specifically, the determination unit 135 determines the number of residents located within a predetermined range from the position where the output device is installed, based on the image information of the residents captured by a camera installed in the space where the output device is installed. The resident segment, which is the attribute of, is determined. Specifically, the determination unit 135 is an image captured by a camera installed in a space where the digital signage is installed, and an image of a resident located within a predetermined range from the position where the digital signage is installed. Get in real time. Subsequently, the determination unit 135 analyzes the acquired image and determines in real time a resident segment that is an attribute of a resident located within a predetermined range from the position where the digital signage is installed. For example, the determination unit 135 analyzes the acquired image and determines whether the height of the residents located within a predetermined range from the position where the digital signage is installed is equal to or less than a predetermined threshold (for example, height 130 cm). judge. Subsequently, when the determination unit 135 determines that the height of a resident located within a predetermined range from the position where the digital signage is installed is equal to or less than a predetermined threshold (for example, a height of 130 cm), the resident, which is an attribute of the resident, The segment is assumed to be children. Subsequently, the extraction unit 134 outputs the advertisement content (for example, animation for children) in which the target, which is the resident segment determined by the determination unit 135, matches the target condition, to an output device installed on the site of the apartment house. Extracted as advertising content. Subsequently, the distribution unit 137 distributes the advertisement content extracted by the extraction unit 134 to the digital signage for a predetermined time (for example, several tens of seconds).

  The procedure of the information processing according to the modification will be described with reference to FIG. FIG. 13 is a flowchart illustrating an information processing procedure according to the modification. In the example illustrated in FIG. 13, the information processing apparatus 100 determines whether or not an image of a resident located within a predetermined range from the position where the digital signage 10 installed in the apartment is installed (step S301). . When the information processing apparatus 100 determines that the image of the inhabitant has not been acquired (step S301; No), the processing ends.

  When it is determined that the image of the inhabitant has been acquired (Step S301; Yes), the information processing apparatus 100 determines the inhabitant segment which is the attribute of the inhabitant based on the acquired image information (Step S302).

  Subsequently, when determining the resident segment which is the attribute of the resident, the information processing apparatus 100 selects the advertisement content to be output based on the resident segment which is the attribute of the resident (step S303).

  Subsequently, when the advertisement content is selected, the information processing apparatus 100 distributes the selected advertisement content to the digital signage 10 installed in the apartment (step S304).

[6-2. Fusion of paper-based advertising and electronic-based advertising]
FIG. 1 shows an example in which advertisement information extracted by the information processing apparatus 100 is displayed on a screen of a digital signage 10 installed in an apartment to provide information about advertisements to residents of the apartment. FIG. 13 illustrates an example in which the information processing apparatus 100 provides the extracted advertisement content by combining a paper medium advertisement and an electronic medium advertisement. This will be described in detail with reference to FIG. FIG. 13 is a diagram illustrating an example of information processing according to a modification.

  In FIG. 13, the distribution unit 137 distributes the advertisement content AD11 including the partial content C11 corresponding to a part of the advertisement information of a paper medium such as a flyer or the flyer to the digital signage 10 to the advertisement content AD11 extracted by the extraction unit 134. To display. Specifically, the distribution unit 137 displays the partial content C11 on the screen of the digital signage 10 which is an output device, and converts the partial content P11 other than the partial content C11 displayed on the screen of the digital signage 10 into the digital signage. Printing is performed on a paper medium by a printer connected to the printer 10. In the example illustrated in FIG. 13, the advertisement content AD1 is an advertisement relating to a newly-released middle-class car, and the advertisement information of the flyer is a guide to a sales exhibition hall of a newly-released middle-class car to be held near the apartment M1. As an example, the flyer is composed of two parts, a partial content C11 and a partial content P11. The distribution unit 137 distributes the portion corresponding to the partial content C11 to the digital signage 10 so that the portion is superimposed on the lower right portion of the advertising content AD11 and displayed electronically. In addition, the distribution unit 137 causes a printer installed on the back of the lower right portion of the digital signage 10 and connected to the digital signage 10 to output the portion corresponding to the partial content P11 on a paper medium. Here, when the user who browses the advertisement content AD11 is interested in the guidance of the sales exhibition hall and pulls the portion output on the paper medium of the flyer, the printer prints and outputs the entire flyer. As another example, the two parts of the partial content C11 and the partial content P11 are integrally displayed in the lower right part of the advertising content AD11 displayed on the digital signage 10, and the print instruction operation by the resident (for example, screen display) (E.g., a touch operation on a print icon that has been performed), the entire flyer may be printed. At the time of printing, the distribution unit 137 distributes the partial content C11 so that the length of the partial content C11 displayed on the digital signage 10 changes to be shorter as the length of the portion output on the paper medium increases. In this manner, the distribution unit 137 determines that the partial content C11 displayed on the screen of the digital signage 10 becomes shorter as the length of the partial content P11 printed on a paper medium by the printer becomes longer. The content C11 is distributed.

[6-3. Calculation process of CV number based on e-commerce history]
In the above, the example in which the information processing apparatus 100 calculates the number of browsing of the advertising content as the advertisement index has been described. However, the number of conversions may be calculated as the advertisement index. Specifically, the calculation unit 138 determines the number of users who have viewed the predetermined advertisement content based on the acquired operation information of the electronic lock. For example, the calculation unit 138 refers to the electronic lock history storage unit 125 and determines the number of users who have viewed predetermined advertisement content in the predetermined period from the number of logs of the electronic lock history included in the predetermined period. Further, the calculation unit 138 refers to the electronic lock history storage unit 125 and acquires an electronic lock ID corresponding to the operation history of the electronic lock. Subsequently, the calculation unit 138 acquires a room number corresponding to the acquired electronic lock ID with reference to the resident information storage unit 124. Subsequently, the calculation unit 138 determines whether or not the resident at the address corresponding to the acquired room number has purchased the target product of the advertising content from the purchase history of the e-commerce service. In this way, the calculation unit 138 calculates the number of residents who purchased the target product of the advertising content as the number of conversions. Note that the calculation unit 138 may refer to the resident information storage unit 124 to acquire a user ID corresponding to the acquired electronic lock ID. Subsequently, the calculation unit 138 may determine from the purchase history of the electronic commerce service whether or not the user corresponding to the acquired user ID has purchased the target product of the advertising content after the operation history of the electronic lock. .

[6-4. Estimation of offline behavior based on location history]
In addition, the information processing apparatus 100 may estimate the behavior style of the inhabitants of each apartment based on the location information history of the inhabitants using the map service, the navigation system, and the like provided by the operator B. For example, the information processing apparatus 100 estimates a behavior style in which the residents of the apartment M4 are apartments where many residents go away by car on the weekend based on the positional information history of the residents using the map service, the navigation system, and the like. . The information processing apparatus 100 may give the behavior style of the inhabitants that many residents go away by car on the weekend to the apartment M4 as a tag of the apartment M4.

[7. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes the acquisition unit 131 and the extraction unit 134. The acquisition unit 131 acquires information on an apartment house. The extraction unit 134 extracts the advertisement content to be output to the output device installed on the site of the apartment house, based on the information about the apartment house acquired by the acquisition unit 131.

  Thereby, the information processing apparatus 100 can provide advertisement content suitable for residents of the apartment.

  The information processing apparatus 100 according to the embodiment further includes a classification unit 132. The classification unit 132 classifies the apartment houses based on the information on the apartment houses acquired by the acquisition unit 131. The extraction unit 134 extracts the advertisement content to be output to the output device installed on the site of the apartment house based on the classification result classified by the classification unit 132.

  Thereby, the information processing apparatus 100 can provide the advertisement content according to the classification of the apartment.

  In addition, the acquisition unit 131 obtains, as the information on the apartment, information on the lifestyle, economic power, behavior, and behavior on the network of the residents in the apartment, or the brand name, the total number of units, the number of floors, the age of the apartment, and the common use of the apartment. Acquire information on the type of facility, location, or changes in asset value. The classification unit 132 classifies the apartment house based on any one of the information acquired by the acquisition unit 131.

  Thereby, the information processing apparatus 100 can classify the apartment house based on the segment corresponding to the attribute of the apartment house.

  In addition, the classification unit 132 is a segment that is an attribute of the apartment house, based on the information about the apartment house acquired by the acquisition unit 131, and is used to match the target condition of the advertising content submitted by the advertiser. By assigning a tag to the apartment house, the apartment house is classified.

  Thereby, the information processing apparatus 100 can enable the advertiser to submit the advertisement content according to the apartment segment.

  In addition, the extraction unit 134 is output to an output device installed on the site of the apartment house based on the matching result between the tag given by the classification unit 132 and the target condition of the advertising content submitted by the advertiser. Extract advertising content.

  Thereby, the information processing apparatus 100 can provide the advertisement content according to the classification of the apartment.

  Further, the information processing apparatus 100 according to the embodiment further includes a determining unit 136 and a distribution unit 137. The determining unit 136 determines a distribution schedule for distributing the advertising content to the output device. The determining unit 136 determines a distribution schedule for distributing the advertising content extracted by the extracting unit 134 to the output device. The extracting unit 134 extracts the advertising content to be delivered to the output device based on the delivery schedule determined by the determining unit 136.

  Thereby, the information processing apparatus 100 can determine the distribution schedule of the advertising content according to the classification of the apartment, and provide the advertising content according to the classification of the apartment based on the determined distribution schedule.

  Further, the information processing apparatus 100 according to the embodiment further includes a determination unit 135. The determination unit 135 determines the attribute of a resident who is located within a predetermined range from the position where the output device is installed, based on image information of the resident who is photographed by a camera installed in the space where the output device is installed. Determine the segment. The extracting unit 134 outputs the output device installed on the site of the apartment house based on the matching result between the resident segment, which is the attribute of the resident determined by the determining unit 135, and the target condition of the advertising content submitted by the advertiser. Extract the advertising content output to

  Thus, the information processing apparatus 100 can provide advertisement content according to each inhabitant.

  The information processing apparatus 100 according to the embodiment further includes a calculation unit 138. The calculating unit 138 outputs the operation information on the operation history of the electric lock at the entrance of the space where the output device is installed, and outputs the operation information to the output device based on the operation information at the time when the advertisement content is output to the output device. Advertisement index indicating the advertising effect of the advertisement content thus calculated is calculated.

  Thereby, the information processing apparatus 100 can accurately calculate the advertisement index indicating the advertisement effect of the advertisement content.

  In addition, the extracting unit 134 extracts advertisement content to be output to an output device that is a digital signage, a printer, or a speaker.

  Thereby, the information processing apparatus 100 can provide the advertisement information on the electronic medium. Further, the information processing apparatus 100 can be capable of providing advertisement information on a paper medium. Further, the information processing apparatus 100 can provide advertisement information by voice.

  In addition, the extracting unit 134 extracts advertisement content to be output to an output device installed in an elevator on the site of an apartment complex or an output device installed in an entrance of the site of an apartment complex.

  Thereby, the information processing apparatus 100 can distribute the advertisement content according to the classification of the apartment to a place where the residents of the apartment easily see it.

[8. Hardware configuration)
The information processing apparatus 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as illustrated in FIG. FIG. 14 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing apparatus 100. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program that depends on hardware of the computer 1000, and the like.

  The HDD 1400 stores a program executed by the CPU 1100, data used by the program, and the like. Communication interface 1500 receives data from another device via a predetermined communication network, sends the data to CPU 1100, and transmits the data generated by CPU 1100 to the other device via the predetermined communication network.

  The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 obtains data from an input device via the input / output interface 1600. Further, CPU 1100 outputs the generated data to an output device via input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

  For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 executes a program or data (for example, a product content model) loaded on the RAM 1200, and Implement the function. Although the CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, as another example, these programs may be obtained from another device via a predetermined communication network.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are exemplifications, and various modifications based on the knowledge of those skilled in the art, including the aspects described in the section of the disclosure of the invention, The invention can be implemented in other modified forms.

[9. Others)
Further, among the processes described in the above embodiments and modifications, all or a part of the processes described as being performed automatically can be manually performed, or described as being performed manually. All or a part of the processing can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown.

  Each component of each device illustrated is a functional concept, and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / arbitrarily divided into arbitrary units according to various loads and usage conditions. Can be integrated and configured.

  Further, the above-described embodiments and modified examples can be appropriately combined within a range that does not contradict processing contents.

  Further, the “section (section, module, unit)” described above can be read as “means”, “circuit”, or the like. For example, the extraction unit can be replaced with an extraction unit or an extraction circuit.

DESCRIPTION OF SYMBOLS 1 Information processing system 10 Output device 20 Management company terminal 30 Advertiser terminal 100 Information processing device 121 Apartment house information storage unit 122 Advertising information storage unit 123 Schedule storage unit 124 Resident information storage unit 125 Electronic lock history storage unit 131 Acquisition unit 132 Classification Unit 133 reception unit 134 extraction unit 135 determination unit 136 determination unit 137 distribution unit 138 calculation unit

Claims (16)

An acquisition unit for acquiring information about an apartment house;
An information processing apparatus, comprising: an extraction unit configured to extract advertisement content to be output to an output device installed on a site of the apartment house based on the information about the apartment house acquired by the acquisition unit. The information processing apparatus further includes a classification unit that classifies the apartment house based on the information about the apartment house acquired by the acquisition unit,
The extraction unit includes:
The information processing device according to claim 1, wherein an advertisement content to be output to an output device installed on a site of the apartment house is extracted based on a classification result classified by the classification unit. The acquisition unit,
As the information on the apartment complex, information on lifestyles, economic power, behavioral style, behavioral style on the network of the residents in the apartment complex, or the brand name of the apartment complex, the total number of units, the number of floors, the age, the type of common facilities, Obtain information on changes in location or asset value,
The classification unit includes:
The information processing device according to claim 2, wherein the multi-family house is classified based on any one of the information acquired by the acquisition unit. The classification unit includes:
Based on the information about the apartment house acquired by the acquisition unit, a tag that is a segment that is an attribute of the apartment house and matches a target condition of advertising content submitted by an advertiser is attached to the apartment house. The information processing apparatus according to claim 2, wherein the multi-family housing is classified by assigning the multi-family housing. The extraction unit includes:
Extracting advertising content to be output to an output device installed on the site of the apartment house, based on a matching result between the tag given by the classification unit and a target condition of advertising content submitted by an advertiser. The information processing apparatus according to any one of claims 2 to 4, wherein: The information processing apparatus according to any one of claims 1 to 5, further comprising: a determination unit that determines a distribution schedule for distributing the advertising content to the output device. The determining unit includes:
The information processing device according to claim 6, wherein a distribution schedule for distributing the advertisement content extracted by the extraction unit to the output device is determined. The extraction unit includes:
The information processing device according to claim 6, wherein an advertisement content to be delivered to the output device is extracted based on the delivery schedule determined by the determination unit. Based on the image information of the residents taken by the camera installed in the space where the output device is installed, a resident segment which is an attribute of the residents located within a predetermined range from the position where the output device is installed is determined. Further comprising:
The extraction unit includes:
Based on the matching result between the resident segment, which is the attribute of the resident determined by the determining unit, and the target condition of the advertising content submitted by the advertiser, the resident segment is output to the output device installed on the site of the apartment house. The information processing apparatus according to any one of claims 1 to 6, wherein an advertisement content is extracted. Operation information related to the operation history of the electric lock at the entrance of the space where the output device is installed, which is output to the output device based on the operation information at the time when the advertisement content is output to the output device. The information processing apparatus according to any one of claims 1 to 7, further comprising: a calculating unit configured to calculate an advertisement index indicating an advertising effect of the advertising content. The extraction unit includes:
The information processing device according to any one of claims 1 to 8, wherein advertisement content to be output to the output device, which is a digital signage, a printer, or a speaker, is extracted. The extraction unit includes:
The advertisement content to be output to the output device installed in the elevator of the apartment complex site or the output device installed in the entrance of the apartment complex site is extracted. The information processing device according to one of the above. A distribution unit that distributes partial content corresponding to a part of the advertisement content extracted by the extraction unit to the output device,
The distribution unit,
A part of the partial content is displayed on a screen of a digital signage as the output device, and a part of the partial content other than the part displayed on the screen of the digital signage is printed on a paper medium by a printer connected to the digital signage. The information processing apparatus according to claim 1, wherein the information is printed. The distribution unit,
The partial content is distributed such that the longer the length of the portion printed on a paper medium by the printer is, the shorter the length of the partial content displayed on the screen of the digital signage is displayed. An information processing apparatus according to claim 13. An information processing method executed by a computer,
An acquisition process for acquiring information about an apartment house;
An extraction step of extracting advertisement content to be output to an output device installed on the site of the apartment house based on the information on the apartment house acquired in the acquisition step. An acquisition procedure for acquiring information about an apartment house;
An extraction procedure for extracting advertisement content to be output to an output device installed on the site of the apartment house, based on the information on the apartment house acquired by the acquisition procedure, and .

Images