JP2022148617A - Space evaluation support device and space evaluation support program - Google Patents

Abstract

To provide a space evaluation support device and a space evaluation support program capable of enhancing credibility of an evaluation result related to an emotion with respect to information which is submitted to a space.SOLUTION: A space evaluation support device 10 comprises: an acquiring part 11A which acquires, a plurality of pieces of existing submission information which was submitted in the past by a user, and novel submission information being newly submitted information by the user about the space being an evaluation object; an estimation part 11B for using frequency related information which is information related to a frequency for every predetermined category of a plurality of pieces of existing submission information acquired by the acquiring part 11A, estimating taste information which indicates a degree of a taste in a unit of the category of the user; a reflecting part 11C for reflecting a degree of a taste of the user indicated by the taste information estimated by the estimation part 11B, to an emotional evaluation value by the user indicated by the novel submission information acquired by the acquiring part 11A; and a presenting part 11D for presenting evaluation information related to an evaluation value after the degree of the taste is reflected by the reflecting part 11C.SELECTED DRAWING: Figure 2

Description

The present invention relates to a spatial evaluation support device and a spatial evaluation support program.

2. Description of the Related Art Conventionally, there are the following techniques as techniques for using information posted on SNS (Social Networking Service) or the like.

Patent Literature 1 discloses a blog site server that publishes a message posted by a contributor to a group of other contributors who can view the message of the contributor, and communicates via a network. A possible posted text transmission device is disclosed. This posted message transmitting device has a preference item table in which one or more preference items are registered, and recommended preference item deriving means for sequentially deriving recommended preference items related to the preference items in the preference item table. Further, the posted message transmitting device includes posted message generation means for sequentially generating a posted message including the recommended preference item as part thereof using template text, and posting for sequentially posting the posted message to the blog site server. and reaction information collecting means for collecting reaction information of other contributors to the posted message from the blog site server. The posted message transmitting apparatus has a feedback means for deriving a recommended preference item that has received many reactions from the other posters from the reaction information and newly registering the recommended preference item in the preference item table.

Further, Patent Literature 2 discloses a contributor analysis device that analyzes profile items from posted messages for each contributor. This contributor analysis device has learning posted sentence storage means for storing a plurality of learning posted sentences in association with profile items, and learning predicate argument structure extracting means for extracting a learning predicate argument structure from the learning posted sentences. . In addition, this contributor analysis device sets a definition vector in which all learning predicate-argument structures are strings of element bits, and for each profile item, a learning vector for generating a learning vector of the learning predicate-argument structure from each learning posted sentence. It has generating means. Further, this poster analysis device includes: user predicate argument structure extracting means for extracting a user predicate argument structure from the user posted sentence of the poster; and user vector generating means for generating a vector. Then, this poster analysis device uses the group of learning vectors for each of the profile items to determine a learning vector that is most similar to the user vector, and determines the profile item associated with the learning posted sentence of the learning vector. is associated with the contributor and registered.

JP 2013-073551 A JP 2016-181062 A

By the way, when evaluating various spaces such as commercial areas, tourist spots, and urban areas, it is extremely difficult to grasp the tendency of people's feelings toward the space, such as whether they are positive or negative. is important. Then, in order to grasp the tendency of people's feelings toward the space, it is conceivable to evaluate the information posted on the space on SNS or the like. Therefore, in order to grasp the tendency of the emotion with a high degree of accuracy, it is required that the evaluation result regarding the emotion regarding the information posted regarding the space on the SNS or the like be highly credible.

However, the techniques disclosed in Patent Literatures 1 and 2 do not consider the credibility of the evaluation results regarding emotions with respect to the information posted regarding the space, and the credibility of the evaluation results is not necessarily high. There was a problem that I couldn't say.

The present invention has been made in view of the above circumstances, and aims to provide a space evaluation support device and a space evaluation support program that can increase the credibility of evaluation results regarding emotions regarding information posted regarding space. aim.

According to claim 1, the spatial evaluation support apparatus according to the present invention includes a plurality of pieces of existing posted information, which are information posted in the past by a user, and information newly posted by the user regarding a space to be evaluated. and frequency-related information, which is information relating to the frequency of each of the plurality of existing posted information acquired by the acquisition unit, for each predetermined category, the above-mentioned by the user an estimating unit for estimating preference information indicating the degree of preference in category units; a reflecting unit that reflects the degree of preference of the user indicated by the received preference information; and a presenting unit that presents evaluation information regarding the evaluation value after the degree of preference is reflected by the reflecting unit.

According to the space evaluation support device according to the present invention described in claim 1, a plurality of pieces of existing posted information, which are information posted in the past by the user, and newly posted information about the space to be evaluated by the user. Newly posted information, which is information, is acquired, and frequency-related information, which is information about the frequency of each of the acquired existing posted information for each predetermined category, is used to indicate the degree of preference of the user for each category. By estimating the preference information and reflecting the degree of the user's preference indicated by the estimated preference information on the user's emotional evaluation value indicated by the acquired newly posted information, It is possible to increase the credibility of evaluation results regarding emotions.

According to claim 2, the space evaluation support apparatus according to the present invention is the space evaluation support apparatus according to claim 1, wherein the evaluation value is an evaluation value indicating the degree of positive emotion and an evaluation value indicating the degree of negative emotion. It is at least one of evaluation values indicating height.

According to the spatial evaluation support device according to the present invention described in claim 2, the evaluation value is set to at least one of an evaluation value indicating a positive emotion level and an evaluation value indicating a negative emotion level. , the credibility of at least one of the evaluation value indicating the level of positive emotion and the evaluation value indicating the level of negative emotion can be enhanced.

According to claim 3, the spatial evaluation support apparatus according to the present invention is the spatial evaluation support apparatus according to claim 1 or 2, wherein the presenting unit combines the evaluation information with the map image and presents the evaluation information. do.

According to the spatial evaluation support device of the present invention, the evaluation information can be used more effectively by synthesizing the evaluation information with the map image and presenting it.

According to a fourth aspect of the present invention, there is provided a spatial evaluation support device according to the third aspect, wherein the map image is a social heat map image.

According to the spatial evaluation support device according to the present invention as set forth in claim 4, by using the social heat map image as the map image, the evaluation information can be utilized more effectively.

The spatial evaluation support device according to the present invention according to claim 5 is the spatial evaluation support device according to any one of claims 1 to 4, wherein the frequency-related information is the frequency for each category. This is information indicating the ratio of

According to the space evaluation support device according to the present invention as recited in claim 5, the frequency-related information is information indicating the frequency ratio for each category, so that the evaluation value can be evaluated based on the preference of only the corresponding user. Trends can be better reflected.

According to a sixth aspect of the present invention, there is provided a space evaluation support program, wherein a plurality of pieces of existing posted information, which are information posted in the past by a user, and information newly posted by the user regarding a space to be evaluated. and using frequency-related information, which is information relating to the frequency of each of the plurality of existing posted information obtained in each predetermined category, to determine the degree of preference of the user in units of the category. is estimated, and the degree of preference of the user indicated by the estimated preference information is reflected in the emotional evaluation value by the user indicated by the acquired newly posted information, and the degree of preference of the user indicated by the estimated preference information is reflected. A computer is caused to execute a process of presenting evaluation information regarding the evaluation value after reflecting the degree.

According to the space evaluation support program according to the present invention as recited in claim 6, a plurality of pieces of existing posted information, which are information posted in the past by the user, and information newly posted by the user regarding the space to be evaluated. Newly posted information, which is information, is acquired, and frequency-related information, which is information about the frequency of each of the acquired existing posted information for each predetermined category, is used to indicate the degree of preference of the user for each category. By estimating the preference information and reflecting the degree of the user's preference indicated by the estimated preference information on the user's emotional evaluation value indicated by the acquired newly posted information, It is possible to increase the credibility of evaluation results regarding emotions.

As described above, according to the present invention, it is possible to increase the credibility of evaluation results regarding emotions regarding information posted regarding space.

It is a block diagram showing an example of hardware constitutions of a space evaluation support system concerning an embodiment. It is a block diagram showing an example of functional composition of a space evaluation support system concerning an embodiment. 4 is a schematic diagram showing an example of the configuration of a target area information database according to the embodiment; FIG. It is a schematic diagram which shows an example of a structure of the frequency related information database which concerns on embodiment. It is a schematic diagram which shows an example of a structure of the preference information database which concerns on embodiment. 4 is a schematic diagram showing an example of the configuration of an evaluation value information database according to the embodiment; FIG. 6 is a flowchart showing an example of preference estimation processing according to the embodiment; 6 is a flowchart illustrating an example of new post handling processing according to the embodiment; It is a flow chart which shows an example of evaluation information presentation processing concerning an embodiment. 9 is a flowchart showing an example of evaluation information display processing according to the embodiment; It is a front view which shows an example of a structure of the initial screen which concerns on embodiment. It is a front view which shows an example of a structure of the evaluation result screen which concerns on embodiment.

Embodiments for carrying out the present invention will be described in detail below with reference to the drawings. In this embodiment, the present invention is applied to a spatial evaluation support system including a spatial evaluation support device configured by a server computer or the like, and a plurality of user terminals, which are terminals used individually by users. A case will be described.

First, the configuration of a spatial evaluation support system 90 according to this embodiment will be described with reference to FIGS. 1 and 2. FIG. FIG. 1 is a block diagram showing an example of the hardware configuration of a spatial evaluation support system 90 according to this embodiment. Also, FIG. 2 is a block diagram showing an example of the functional configuration of the spatial evaluation support system 90 according to this embodiment.

As shown in FIG. 1 , a spatial evaluation support system 90 according to this embodiment includes a spatial evaluation support device 10 and a plurality of user terminals 30 each of which can access a network 80 . Examples of the spatial evaluation support device 10 include information processing devices such as personal computers and server computers. Examples of the user terminal 30 include portable terminals such as smartphones, tablet terminals, and PDAs (Personal Digital Assistants, personal digital assistants).

The user terminal 30 according to this embodiment is a terminal possessed by each of a plurality of users (hereinafter simply referred to as “users”) who are to use the spatial evaluation support system 90 . The user terminal 30 includes a CPU (Central Processing Unit) 31, a memory 32 as a temporary storage area, a non-volatile storage unit 33, an input unit 34 such as a touch panel, a display unit 35 such as a liquid crystal display, and a medium reading/writing device (R/ W) 36. The user terminal 30 also includes a camera 38 , a microphone 39 , a GPS (Global Positioning Systems) 40 , and a wireless communication section 42 . The CPU 31, memory 32, storage section 33, input section 34, display section 35, medium read/write device 36, camera 38, microphone 39, GPS 40, and wireless communication section 42 are connected to each other via a bus B1. The medium read/write device 36 reads information written in the recording medium 37 and writes information to the recording medium 37 .

The storage unit 33 is implemented by an HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, or the like. An evaluation information display program 33A is stored in the storage unit 33 as a storage medium. The evaluation information display program 33A is set in the medium read/write device 36, and the evaluation information display program 33A is read out from the recording medium 37 by the medium read/write device 36. It is stored in the storage unit 33 . The CPU 31 reads out the evaluation information display program 33A from the storage unit 33, develops it in the memory 32, and sequentially executes the processes of the evaluation information display program 33A.

On the other hand, the spatial evaluation support device 10 is a device that plays a central role in the spatial evaluation support system 90, and is a device that comprehensively stores and manages various types of information handled by the spatial evaluation support system 90. FIG. The spatial evaluation support device 10 includes a CPU 11, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and mouse, a display unit 15 such as a liquid crystal display, a medium reading/writing device 16, and a communication interface (I /F) section 18 is provided. The CPU 11, memory 12, storage section 13, input section 14, display section 15, medium read/write device 16, and communication I/F section 18 are connected to each other via a bus B2. The medium read/write device 16 reads information written in the recording medium 17 and writes information to the recording medium 17 .

The storage unit 13 is implemented by an HDD, SSD, flash memory, or the like. The storage unit 13 as a storage medium stores a preference estimation program 13A, a new posting support program 13B, and an evaluation information presentation program 13C.

The recording medium 17 in which the preference estimation program 13A is written is set in the medium reading/writing device 16, and the medium reading/writing device 16 reads out the preference estimation program 13A from the recording medium 17. stored to Also, the new post handling program 13B is set in the medium reading/writing device 16 by setting the recording medium 17 in which the new posting handling program 13B is written, and the medium reading/writing device 16 reads out the new post handling program 13B from the recording medium 17. Then, it is stored in the storage unit 13 . Further, the evaluation information presentation program 13C is set in the medium read/write device 16, and the medium read/write device 16 reads the evaluation information presentation program 13C from the recording medium 17. Then, it is stored in the storage unit 13 .

The CPU 11 reads out the preference estimation program 13A from the storage unit 13, develops it in the memory 12, and sequentially executes the processes of the preference estimation program 13A. Further, the CPU 11 reads out the new-posting program 13B from the storage unit 13, develops it in the memory 12, and sequentially executes the processes of the new-posting program 13B. Furthermore, the CPU 11 reads out the evaluation information presentation program 13C from the storage unit 13, develops it in the memory 12, and sequentially executes the processes of the evaluation information presentation program 13C.

The storage unit 13 also stores a target area information database 13D, a frequency-related information database 13E, a preference information database 13F, and an evaluation value information database 13G. Details of the target area information database 13D, the frequency-related information database 13E, the preference information database 13F, and the evaluation value information database 13G will be described later.

Next, with reference to FIG. 2, functional configurations of the spatial evaluation support device 10 and the user terminal 30 according to this embodiment will be described.

As shown in FIG. 2, the spatial evaluation support device 10 includes an acquisition unit 11A, an estimation unit 11B, a reflection unit 11C, and a presentation unit 11D. The CPU 11 of the spatial evaluation support device 10 executes the preference estimation program 13A, the new post handling program 13B, and the evaluation information presentation program 13C, thereby functioning as an acquisition unit 11A, an estimation unit 11B, a reflection unit 11C, and a presentation unit 11D. .

The acquisition unit 11A according to the present embodiment acquires a plurality of pieces of existing posted information, which are information posted in the past by a user, and new posted information, which is information newly posted by the user regarding a space to be evaluated. get.

In this embodiment, the existing posted information and the newly posted information are acquired by directly receiving from the user terminal 30 the information posted to the SNS via the user terminal 30 by the user. It is not limited. For example, existing posted information and newly posted information by each user may be acquired by downloading from servers of a plurality of types of SNS (not shown).

In addition, the estimation unit 11B according to the present embodiment uses frequency-related information, which is information related to the frequency for each predetermined category of the plurality of existing posted information acquired by the acquisition unit 11A, to determine whether the category is determined by the user. Estimate preference information that indicates the degree of preference in units.

In this embodiment, the category of the existing posted information is specified by using artificial intelligence that is machine-learned using teacher data in which the information posted on the SNS is tagged with the corresponding category. However, it is not limited to this. For example, a conventionally known text mining technique may be used to identify the category of existing posted information.

In addition, in this embodiment, three categories of eating and drinking, shopping, and culture/art are applied as the above categories, but the categories are not limited to these. For example, in addition to these categories, other categories such as history and natural environment may be included, and any one type or a combination of a plurality of types may be applied as the above categories.

Furthermore, in the present embodiment, information indicating the frequency ratio for each category is used as the frequency-related information, but the frequency-related information is not limited to this. For example, the frequency itself for each category may be applied as the frequency-related information.

On the other hand, the reflecting unit 11C according to the present embodiment uses the usage information indicated by the preference information estimated by the estimating unit 11B with respect to the user's emotional evaluation value indicated by the newly posted information acquired by the acquiring unit 11A. reflect a person's degree of preference.

In the present embodiment, as the evaluation values, an evaluation value indicating the level of positive emotion (hereinafter referred to as "positive evaluation value") and an evaluation value indicating the level of negative emotion (hereinafter referred to as "negative evaluation "value".) are applied, but the present invention is not limited to this. For example, either one of the positive evaluation value and the negative evaluation value may be applied as the evaluation value, or an evaluation value indicating the level of other emotions such as anger, sadness, etc. may be applied as the evaluation value. may be

In this embodiment, derivation of the evaluation value indicated by newly posted information is performed by machine learning using teacher data that assigns at least one of a positive evaluation value and a negative evaluation value to information posted on an SNS. is used, but it is not limited to this. For example, a conventionally known text mining technique may be used to derive an evaluation value indicated by newly posted information.

Then, the presentation unit 11D according to the present embodiment presents the evaluation information regarding the evaluation value after the degree of preference is reflected by the reflection unit 11C.

In the present embodiment, the presentation unit 11D presents the evaluation information by synthesizing it with the map image, but the present invention is not limited to this. For example, only the evaluation information may be presented without combining with the map image, or the evaluation information may be presented by combining with an image other than the map image.

In this embodiment, the presenting unit 11D presents the evaluation information by transmitting information on the evaluation information to the requested user terminal 30 and causing the display unit 35 of the user terminal 30 to display the information. However, it is not limited to this. For example, the evaluation information may be presented by displaying it on the display unit 15 of the space evaluation support device 10 . Further, presentation of the evaluation information by the presentation unit 11D is not limited to presentation by display on the display unit, and presentation by voice or presentation by printing by an image forming apparatus (so-called printer) may be applied.

Further, in this embodiment, a social heat map image is applied as the map image. A social heat map image is an image that shows a map that emphasizes places with a lot of information that matches the attributes of the user by displaying areas with different densities and colors overlaid on the map image that is normally displayed for the corresponding area. be. That is, in this embodiment, each user is asked to answer a plurality of questions in advance, and the answer results are analyzed and classified to determine the attributes of each user in advance. Then, the social heat map image according to the present embodiment is formed into a map image so that the density of a place having a large amount of information (in this embodiment, information posted on SNS) matching the attribute of the user who uses it becomes higher. Overlap display. However, instead of changing the density, the color may be changed in the order from high density to low density, such as red→yellow→green.

In the present embodiment, the spatial evaluation support device 10, via the network 80 or the like, downloads the latest version of the social heat map image of each of the areas handled by the spatial evaluation support system 90 (hereinafter referred to as "target areas"). Connected to the server that provides it. Then, the spatial evaluation support device 10 acquires the latest version of the social heat map image from this server, and sequentially updates the social heat map image stored in the target area information database 13D (see also FIG. 3), which will be described later. It is assumed that However, the present invention is not limited to this form, and the space evaluation support device 10 itself may sequentially update the social heat map image corresponding to each user.

On the other hand, the user terminal 30 according to this embodiment includes a receiver 31A and a display controller 31B. By executing the evaluation information display program 33A, the CPU 31 of the user terminal 30 functions as a receiving section 31A and a display control section 31B.

The receiving unit 31A according to the present embodiment receives, from the space evaluation support device 10, the evaluation information regarding the evaluation value in which the degree of user's preference is reflected by the reflection unit 11C of the space evaluation support device 10. FIG. The display control unit 31B also controls the display unit 35 to display information related to the evaluation information received by the reception unit 31A.

Next, the target area information database 13D according to this embodiment will be described with reference to FIG. FIG. 3 is a schematic diagram showing an example of the configuration of the target area information database 13D according to this embodiment.

The target area information database 13D according to this embodiment is a database in which information on the above-described target area is registered. As shown in FIG. 3, the target area information database 13D according to the present embodiment stores information on target area names, social heat map images, target district names, and target district positions.

The target area name is information indicating the name of each of the target areas, and the social heat map image is information indicating the above-described social heat map image for each user in the target area indicated by the corresponding target area name. be. The target district name is information indicating the name of a district existing inside the corresponding target area, and the target district position is information indicating the position where the corresponding target district exists.

In this embodiment, as the target area, an area divided by chome in each town existing in the corresponding target area is applied. In the present embodiment, the target area position is defined as a coordinate position in a two-dimensional coordinate system of a pair of diagonal circumscribing rectangular frames of the corresponding target area. However, the present invention is not limited to these forms. For example, as the target area, an area divided by the address in each town existing in the corresponding target area may be applied. The coordinate position of the center point of the frame in the two-dimensional coordinate system may be applied, or the latitude and longitude may be applied instead of the coordinate position in the two-dimensional coordinate system.

Next, the frequency-related information database 13E according to this embodiment will be described with reference to FIG. FIG. 4 is a schematic diagram showing an example of the configuration of the frequency-related information database 13E according to this embodiment.

The frequency-related information database 13E according to this embodiment registers the above-described frequency-related information. As shown in FIG. 4, the frequency-related information database 13E according to the present embodiment stores the target area name, user ID (Identification), and frequency-related information.

The target area name is the same information as the target area name in the target area information database 13D, and the user ID is information assigned in advance as a different number for each user in order to identify the user individually. and the frequency-related information is the frequency-related information described above.

In the example shown in FIG. 4, frequency-related information of information posted about Otemachi 1-chome by a user to whom "U001" is assigned as a user ID, that is, each category (eating and drinking) of existing posted information by the user. , shopping, culture/art) is stored as 70:10:20.

Next, the preference information database 13F according to this embodiment will be described with reference to FIG. FIG. 5 is a schematic diagram showing an example of the configuration of the preference information database 13F according to this embodiment.

The preference information database 13F according to the present embodiment registers the above-described preference information. As shown in FIG. 5, the preference information database 13F according to the present embodiment stores information such as target area names, user IDs, and preference information.

The target district name and user ID are the same information as the target district name and user ID in the frequency-related information database 13E, and the preference information is the preference information described above.

In the example shown in FIG. 5, preference information of information posted about Otemachi 1-chome by a user to whom "U001" is assigned as a user ID, that is, the degree of preference of the user in units of the above categories , eating and drinking is 1.4, shopping is 0.2, and culture/art is 0.4.

In addition, in this embodiment, preference information is derived by the following formula (1). In Equation (1), Pc represents the preference information of the corresponding category, and Fc represents the frequency-related information of the corresponding category. That is, in the present embodiment, the frequency-related information Fc is the percentage (%) of the frequency for each category, and by dividing the frequency-related information Fc by 50, 50% in the frequency-related information Fc Assuming that the value is 1, the frequency-related information Fc is converted into a value ranging from 0 to 2.

Pc=Fc/50 (1)

Next, the evaluation value information database 13G according to this embodiment will be described with reference to FIG. FIG. 6 is a schematic diagram showing an example of the configuration of the evaluation value information database 13G according to this embodiment.

The evaluation value information database 13G according to this embodiment registers the above-described evaluation values (negative evaluation values and positive evaluation values in this embodiment). As shown in FIG. 6, the evaluation value information database 13G according to the present embodiment stores information such as target area names, user IDs, and evaluation value information.

The target district name and user ID are the same information as the target district name and user ID of the frequency-related information database 13E, and the evaluation value information is posted by the corresponding user regarding the corresponding target district. This is information indicating an emotional evaluation value indicated by newly posted information.

In this embodiment, the evaluation value is represented by a predetermined number of levels (five levels from 1 to 5 in this embodiment), but the present invention is not limited to this. For example, the number of stages may be a number other than 5, such as 3 or 10, and the level values are not limited to positive values, and include negative values centered on 0 (zero). It is also possible to adopt a form in which values are set in multiple stages.

In the example shown in FIG. 6, one of the newly posted information about Otemachi 1-chome posted by the user to whom "U001" is assigned as the user ID is positive and related to eating and drinking. and the evaluation value (level) of 5 is stored.

As described above, in the present embodiment, the evaluation value indicated by the newly posted information itself reflects the degree of preference of the corresponding user indicated by the preference information as the final evaluation value. . More specifically, in this embodiment, the final evaluation value is derived by the following equation (2). In equation (2), Ec represents the evaluation value of the corresponding category, ec represents the evaluation value indicated by the newly posted information itself indicating the corresponding category, and Pc represents the preference information of the corresponding category. That is, in the present embodiment, the value obtained by multiplying the evaluation value ec indicated by the newly posted information itself by the preference information Pc within the range of 0 to 2 centering on 1 is used as the final evaluation. It has a value Ec. As a result, when the ratio indicated by the frequency-related information corresponding to the preference information Pc exceeds 50%, the evaluation value ec is converted into a larger value, and when the ratio is less than 50%, the evaluation value ec is converted into a smaller value to obtain the final evaluation value Ec.

Ec=ec×Pc (2)

In this embodiment, for the sake of convenience, when the evaluation value Ec exceeds the above-described number of stages (5 in this embodiment) as a result of the calculation by Equation (2), the evaluation value Ec is set to 5, and the evaluation value Ec is Although the evaluation value Ec is set to 1 when it is less than 1, it is not limited to this.

Next, the operation of the spatial evaluation support system 90 according to this embodiment will be described with reference to FIGS. 7 to 12. FIG. FIG. 7 is a flowchart showing an example of preference estimation processing according to this embodiment. Also, FIG. 8 is a flowchart showing an example of the new posting handling process according to the present embodiment. Moreover, FIG. 9 is a flowchart which shows an example of the evaluation information presentation process which concerns on this embodiment. FIG. 10 is a flow chart showing an example of evaluation information display processing according to this embodiment. FIG. 11 is a front view showing an example of the configuration of the initial screen according to this embodiment. Furthermore, FIG. 12 is a front view showing an example of the configuration of the evaluation result screen according to this embodiment.

First, with reference to FIG. 7, the operation of the spatial evaluation support device 10 according to this embodiment when executing the preference estimation process will be described. When the user of the spatial evaluation support device 10 (for example, the administrator of the spatial evaluation support system 90) inputs an instruction to start execution of the preference estimation process via the input unit 14, the spatial evaluation support device 10 The preference estimation process shown in FIG. 7 is executed by the CPU 11 executing the preference estimation program 13A. Here, in order to avoid complication, a case where the target area information database 13D has already been constructed will be described. Further, here, the information posted by the user to the SNS via the user terminal 30 and the information received from the user terminal 30 is associated with the corresponding user ID and the information indicating the target district. A case where they are sequentially stored (accumulated) in the storage unit 13 will be described.

At step 100 in FIG. 7, the CPU 11 receives information posted to the SNS by one user (hereinafter referred to as "target user") among a plurality of users who are subject to use of the spatial evaluation support system 90. , is obtained by reading from the storage unit 13 as the existing posted information described above. At step 102, the CPU 11 classifies the information corresponding to one target district in the acquired existing posted information by category using the artificial intelligence described above.

At step 104, the CPU 11 derives the number of existing posted information classified for each category. to derive At step 108, the CPU 11 stores (updates) the derived frequency-related information in the frequency-related information database 13E.

At step 110, the CPU 11 determines whether or not the processing of steps 102 to 108 has been completed for all target districts. 112. It should be noted that, when repeatedly executing the processing of steps 102 to 110, the CPU 11 executes the processing for target districts that have not been processed until then.

At step 112, the CPU 11 determines whether or not the processing of steps 100 to 110 has been completed for all users. 114. It should be noted that when the processing of steps 100 to 112 is repeatedly executed, the CPU 11 executes the processing as a target user who has not been processed until then.

At step 114, the CPU 11 uses the frequency-related information for each target district and for each user obtained by the above processing to generate the preference information for each target district and for each user as described above. to derive At step 116, the CPU 11 stores (updates) the derived preference information in the preference information database 13F, and then terminates the preference estimation processing.

By the above preference estimation processing, the frequency-related information database 13E and the preference information database 13F are constructed (updated) as shown in FIGS. 4 and 5, for example.

Next, with reference to FIG. 8, the operation of the spatial evaluation support device 10 according to the present embodiment when executing the new post handling process will be described. When the spatial evaluation support device 10 receives newly posted information posted to the SNS from any of the user terminals 30, the CPU 11 of the spatial evaluation support device 10 executes the new post handling program 13B. is executed. Here, in order to avoid complication, a case where the preference information database 13F has already been constructed will be described.

In step 150 of FIG. 8, the CPU 11 determines the user using the user terminal 30 from which the received newly posted information is transmitted (hereinafter referred to as "newly posted user") and the target area corresponding to the newly posted information. identify. Then, the CPU 11 reads the preference information Pc corresponding to the newly posted user and the identified target area from the preference information database 13F. In addition, in this embodiment, when the user posts information to the SNS, in addition to the information, information indicating himself (user ID in this embodiment) and the target area for which the information to be posted is targeted The information shown is also input, and the new posting user and the target area are specified from this information, but it goes without saying that the information is not limited to this.

At step 152, the CPU 11 derives the evaluation value ec of the category corresponding to the newly posted information using the artificial intelligence described above. At step 154, the CPU 11 derives the final evaluation value Ec by substituting the read preference information Pc and the derived evaluation value ec into the above equation (2).

At step 156, the CPU 11 stores the derived evaluation value Ec in the evaluation value information database 13G, and then terminates this new posting handling process.

Next, with reference to FIG. 9, the operation of the spatial evaluation support device 10 according to this embodiment when executing the evaluation information presentation process will be described.

In the space evaluation support system 90 according to the present embodiment, when any user wants to refer to evaluation information for any target district, he or she uses the user terminal 30 owned by the user to perform evaluation information display processing described later. is executed. In this evaluation information display process, the user transmits to the space evaluation support device 10 reference request information including information indicating the target area for which the user wants to refer to the evaluation information (hereinafter referred to as "designated target area information"). When the reference request information is received, the CPU 11 of the space evaluation support device 10 executes the evaluation information presentation program 13C, thereby executing the evaluation information presentation process shown in FIG. Here, in order to avoid complication, a case where the evaluation value information database 13G has already been constructed will be described.

At step 180 in FIG. 9, the CPU 11 extracts the specified target district information from the received reference request information. At step 182, the CPU 11 reads the evaluation value information corresponding to the target district indicated by the specified target district information (hereinafter referred to as "processing target district") from the evaluation value information database 13G.

At step 184, the CPU 11 stores the target district position corresponding to the processing target district, the target region including the processing target district, and the social heat map image corresponding to the access source user in the target region information database. 13D.

At step 186, the CPU 11 uses the read social heat map image, the evaluation value information corresponding to the processing target district, and the target district position to generate information indicating an evaluation result screen having a predetermined configuration (hereinafter referred to as , called “evaluation result screen information”). At step 188, the CPU 11 transmits the created evaluation result screen information to the user terminal 30 that is the access source, and then ends this evaluation information presentation process.

Next, the operation of the user terminal 30 according to this embodiment when executing the evaluation information display process described above will be described with reference to FIG. When the CPU 31 of any user terminal 30 executes the evaluation information display program 33A, the evaluation information display processing shown in FIG. 10 is executed. The evaluation information display process shown in FIG. Executed when entered.

At step 200 in FIG. 10, the CPU 31 controls the display section 35 to display an initial screen having a predetermined configuration, and at step 202, the CPU 31 waits until predetermined information is input.

As an example, as shown in FIG. 11, the initial screen according to the present embodiment displays a message prompting the user to enter the name of the target district and an input area 35A for entering the name of the target district whose evaluation information is to be referred to. be. When the initial screen shown in FIG. 11 is displayed by the display unit 35, the implementation user uses the input unit 34 to input the name of the target area for which the evaluation information is to be referred to in the input area 35A, and then presses the end button 35C. specify. Accordingly, step 202 becomes affirmative determination, and the process proceeds to step 204 . In this embodiment, the name of the target district is entered on the initial screen by directly entering the name of the target district. While the names of the districts are displayed in a pull-down format, the name of the desired target district may be specified from the displayed names of the target districts.

At step 204 , the CPU 31 transmits the reference request information described above to the spatial evaluation support device 10 . In response to this, the space evaluation support device 10 executes the evaluation information presentation process as described above, and transmits the evaluation result screen information to the user terminal 30 that is the access source.

Therefore, in step 206 , the CPU 31 waits until evaluation result screen information is received from the spatial evaluation support device 10 . In step 208, the CPU 31 controls the display unit 35 to display the evaluation result screen indicated by the received evaluation result screen information. End the information display process.

As an example, as shown in FIG. 12, the evaluation result screen according to the present embodiment displays the social heat map image of the target area including the target district by category, and the positive evaluation value and negative evaluation value in the target district. Evaluation information 35B indicating the average value of each evaluation value of the value is displayed at the corresponding position. The corresponding position is the position indicated by the target district position described above.

Therefore, by referring to the evaluation result screen, the implementation user can grasp the emotional evaluation value of the desired target district together with the social heat map image. In this case, the displayed evaluation value also reflects the degree of preference of the contributor for the corresponding category, so the evaluation value is more credible.

In the example shown in FIG. 12, the evaluation information 35B exemplifies a case in which only the larger evaluation value of the positive evaluation value and the negative evaluation value is displayed as the object, but it is not limited to this. do not have. For example, both positive evaluation values and negative evaluation values may be displayed. Also, in the example shown in FIG. 12, the evaluation value is displayed numerically, but the present invention is not limited to this. For example, it may be displayed in different colors depending on the magnitude of the numerical value. Furthermore, it is also possible to adopt a form in which the information is displayed in a color-coded manner for each category.

As described above, according to the present embodiment, a plurality of pieces of existing posted information, which are information posted in the past by the user, and newly posted information, which is information newly posted by the user regarding the space to be evaluated, Using the acquisition unit 11A that acquires information, and frequency-related information that is information related to the frequency of each of the plurality of existing posted information acquired by the acquisition unit 11A for each predetermined category, the user's preference for each category is determined. and the use indicated by the preference information estimated by the estimation unit 11B with respect to the user's emotional evaluation value indicated by the newly posted information acquired by the acquisition unit 11A. A reflecting unit 11C that reflects the degree of preference of a person, and a presenting unit 11D that presents evaluation information regarding the evaluation value after the degree of preference is reflected by the reflecting unit 11C. Therefore, it is possible to increase the credibility of the evaluation results regarding the emotions of the information posted regarding the space.

Further, according to the present embodiment, the evaluation value is at least one of an evaluation value indicating a positive emotion level and an evaluation value indicating a negative emotion level. Therefore, the credibility of the evaluation value indicating the level of positive emotion and the evaluation value indicating the level of negative emotion can be enhanced.

Further, according to the present embodiment, the evaluation information is combined with the map image and presented. Therefore, the evaluation information can be utilized more effectively.

Further, according to the present embodiment, the map image is a social heat map image. Therefore, the evaluation information can be utilized more effectively.

Furthermore, according to this embodiment, the frequency-related information is information indicating the frequency ratio for each category. Therefore, the preference tendency of only the corresponding user can be more appropriately reflected in the evaluation value.

In the above embodiment, a case has been described in which the user himself/herself designates the target area to be referred to, but the present invention is not limited to this. For example, the GPS 40 built into the user terminal 30 owned by the user may be used to automatically apply the area including the location where the user terminal 30 is located as the target area to be referred to. In addition, it is also possible to acquire in advance the information indicating the tendency of the user's preference by the space evaluation support device 10, and to provide the user with the information of the target area according to the user's preference at any time. .

Further, in the above-described embodiment, a case has been described in which the space evaluation support apparatus 10 executes the preference estimation process and the new post handling process, but the present invention is not limited to this. For example, each user terminal 30 may execute the preference estimation process and the new post handling process. In this form, the space evaluation support device 10 of the present invention is included in the user terminal 30. FIG.

Also, in the above-described embodiment, a case has been described in which the target area to be referred to is input on the initial screen using the input unit 34, but the present invention is not limited to this. For example, the target area to be referred to may be input as voice information using the microphone 39 .

Moreover, in the above-described embodiment, a case has been described in which a relatively wide range of categories such as "eating and drinking" and "shopping" are applied as categories, but the present invention is not limited to this. For example, "shopping" may be subdivided into "clothes", "Japanese clothes", etc., and a narrower range of classification may be applied as a category.

Further, in the above-described embodiment, the case of deriving the evaluation value for each target area has been described, but the present invention is not limited to this. For example, an evaluation value may be derived for each time slot, or an evaluation value may be derived for each day of the week.

Further, in the above-described embodiment, a case has been described in which the preference information Pc estimated by the estimation unit 11B is reflected only in the evaluation value of the newly posted information, but the present invention is not limited to this. For example, it is also possible to create social heat map images with different densities and the like for only users whose degree of preference indicated by preference information Pc of a predetermined category is equal to or higher than a predetermined threshold. Further, for example, a social heat map image may be displayed only for users whose degree of preference indicated by preference information Pc of a predetermined category is equal to or higher than a predetermined threshold.

In addition, equations (1) and (2) are merely examples, and needless to say, they can be appropriately modified and applied without departing from the gist of the present invention.

Further, in the above embodiment, for example, the hardware structure of the processing unit (processing unit) that executes each process of the acquisition unit 11A, the estimation unit 11B, the reflection unit 11C, and the presentation unit 11D includes the following various processor can be used. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as FPGAs (Field-Programmable Gate Arrays), etc., which have circuit configurations after manufacturing. Programmable Logic Device (PLD), ASIC (Application Specific Integrated Circuit), etc. etc. are included.

The processing unit may be configured with one of these various processors, or a combination of two or more processors of the same type or different types (for example, a combination of multiple FPGAs or a combination of a CPU and an FPGA). may consist of Also, the processing unit may be configured with a single processor.

As an example of configuring the processing unit with one processor, first, one processor is configured by combining one or more CPUs and software, as typified by computers such as clients and servers. There is a form that functions as a processing unit. Secondly, there is a form of using a processor that implements the functions of the entire system including the processing section with a single IC (Integrated Circuit) chip, as typified by a System On Chip (SoC). In this way, the processing unit is configured using one or more of the above various processors as a hardware structure.

Furthermore, as the hardware structure of these various processors, more specifically, an electric circuit (circuitry) in which circuit elements such as semiconductor elements are combined can be used.

10 Spatial evaluation support device 11 CPU
11A acquisition unit 11B estimation unit 11C reflection unit 11D presentation unit 12 memory 13 storage unit 13A preference estimation program 13B new post support program 13C evaluation information presentation program 13D target area information database 13E frequency related information database 13F preference information database 13G evaluation value information database 14 Input unit 15 Display unit 16 Medium read/write device 17 Recording medium 18 Communication I/F unit 30 User terminal 31 CPU
31A Reception unit 31B Display control unit 32 Memory 33 Storage unit 33A Evaluation information display program 34 Input unit 35 Display unit 35B Evaluation information 36 Medium read/write device 37 Recording medium 38 Camera 39 Microphone 40 GPS
42 wireless communication unit 80 network 90 spatial evaluation support system

Claims (6)

an acquisition unit that acquires a plurality of pieces of existing posted information, which are information posted in the past by a user, and new posted information, which is information newly posted by the user regarding a space to be evaluated;
Preference information indicating the degree of preference of the user in units of the category, using frequency-related information, which is information about the frequency for each predetermined category of the plurality of existing posted information acquired by the acquisition unit. an estimating unit for estimating
A reflecting unit that reflects the degree of the user's preference indicated by the preference information estimated by the estimating unit on the user's emotional evaluation value indicated by the newly posted information acquired by the acquiring unit. When,
a presentation unit that presents evaluation information about the evaluation value after the degree of preference is reflected by the reflection unit;
Spatial evaluation support device with The evaluation value is at least one of an evaluation value indicating a positive emotion level and an evaluation value indicating a negative emotion level,
The space evaluation support device according to claim 1. The presentation unit synthesizes the evaluation information with a map image and presents it.
3. The spatial evaluation support device according to claim 1 or 2. the map image is a social heat map image,
The spatial evaluation support device according to claim 3. The frequency-related information is information indicating the frequency ratio for each category,
A spatial evaluation support device according to any one of claims 1 to 4. Acquiring a plurality of pieces of existing posted information, which are information posted in the past by a user, and newly posted information, which is information newly posted by the user regarding a space to be evaluated;
estimating preference information indicating the degree of preference of the user in units of the categories, using frequency-related information, which is information about the frequency of each of the previously determined categories of the plurality of existing posted information that has been obtained;
reflecting the degree of preference of the user indicated by the estimated preference information in the emotional evaluation value of the user indicated by the acquired newly posted information;
Presenting evaluation information about the evaluation value after reflecting the degree of preference;
Spatial evaluation support program for executing processing on a computer.

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