Property information display device, property information display method and program

Abstract

To provide a property information display device, a property information display method, and a program that enable a user to search for properties that will enrich the user's daily life. [Solution] The property information display device includes an attribute information input unit that accepts input of information about the user, a property information input unit that accepts specification of the property to be evaluated, a facility information acquisition unit that acquires information about one or more facilities around the property in one go, a user profile analysis unit that identifies the user's attributes and conditions based on information about the user, a scoring unit that calculates a score for the property based on the facility information, the attributes and the conditions, a map display unit that displays the shaped facility information on a map along with concentric circles centered on the property, and a scoring result display unit that displays the score.

Description

[Technical Field]

[0001] The present invention relates to a property information display device, a property information display method, and a program, and more particularly to a technique for displaying information on facilities and the like located around a real estate property. [Background technology]

[0002] 2. Description of the Related Art A system has been proposed for providing information on facilities in the vicinity of a real estate property to those who wish to purchase or rent the property.

[0003] For example, Patent Document 1 discloses a system that generates and displays a diagram that schematically shows the distance, direction, elevation difference, etc. from a property to various facilities. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6393469 [Non-patent literature]

[0005] [Non-Patent Document 1] Cleveland WS et al., “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods,” Journal of the American Statistical Association, 1984, 79(387), 531-554. [Non-patent document 2] Wertheimer M, “Untersuchungen zur Lehre von der Gestalt II”, Psychologische Forschung, 1923, 4(1), 301-350 [Non-patent document 3] "Fair Competition Rules and Enforcement Regulations for Real Estate Display," [online], September 1, 2022, Real Estate Fair Trade Council Federation, [Retrieved August 21, 2025], Internet<URL:https: / / www.rftc.jp / webkanri / kanri / wp-content / uploads / 2019 / 02 / h_kiyaku.pdf> ,Page 13 [Non-patent document 4] "Isolines", [online], 2025, CARTO, [Retrieved August 21, 2025], Internet<URL:https: / / carto.com / isoline-map> Summary of the Invention [Problem to be solved by the invention]

[0006] What users looking for a property want to know most is whether the property will enrich their daily lives. The facilities in the vicinity of the property are an important factor in determining the enrichment of daily life. However, the type of nearby facilities that will enrich a user's daily life will vary greatly depending on the user's individual attributes, position, circumstances, etc.

[0007] For example, a user who values ​​their children's education may place importance on the deviation value of nearby schools, the number of cram school options, etc. A user who likes to go bar hopping may place importance on the number of nearby restaurants, their business hours, etc. A user who values ​​quietness may place importance on the lack of nearby nuisance facilities and the distance from such facilities.

[0008] In other words, neighborhood facilities include not only facilities that have a positive effect on the evaluation of the richness of living scenes, but also facilities that are objectively considered negative (e.g., gas stations, racetracks, etc.) and facilities that may give a subjectively negative impression (e.g., cemeteries, temples, etc., including properties that are treated as so-called "psychological defects").

[0009] Therefore, there is a need for a method of presenting property information that takes into account the impact that nearby facilities have on each user's daily life.

[0010] Furthermore, if we can suggest other properties that can enrich the user's daily life in addition to the property that the user is currently interested in, it may be possible to improve user satisfaction.

[0011] The present invention is intended to solve such problems, and aims to provide a property information display device, a property information display method, and a program that enable users to search for properties that will enrich their daily lives.

[0012] In one embodiment, the property information display device includes an attribute information input unit that accepts input of information about a user, a property information input unit that accepts specification of a property to be evaluated, a facility information acquisition unit that acquires information about one or more facilities around the property in bulk, a user profile analysis unit that identifies the attributes and conditions of the user based on information about the user, a scoring unit that calculates a score for the property based on the facility information, the attributes, and the conditions, a map display unit that displays the shaped facility information on a map together with concentric circles centered on the property, and a scoring result display unit that displays the score. In one embodiment, the scoring unit calculates the score based on the attribute, the condition, and the category of the facility. In one embodiment, the property information display method includes an attribute information input step in which a computer accepts input of information about a user; a property information input step in which a property to be evaluated is specified; a facility information acquisition step in which information about one or more facilities around the property is acquired in bulk; a user profile analysis step in which the attributes and conditions of the user are identified based on information about the user; a scoring step in which the score of the property is calculated based on the facility information, the attributes, and the conditions; a map display step in which the shaped facility information is displayed on a map together with concentric circles centered on the property; and a scoring result display step in which the score is displayed. In one embodiment, a program causes a computer to carry out the above method. [Effects of the Invention]

[0013] According to the present invention, it is possible to provide a property information display device, a property information display method, and a program that enable a user to search for properties that will enrich the user's daily life. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a block diagram showing a schematic hardware configuration of a property information display device 1. FIG. [Figure 2] 1 is a block diagram showing a schematic functional configuration of a property information display device 1. FIG. [Figure 3] 4 is a flowchart showing an example of the operation of the property information display device 1. [Figure 4] FIG. 2 is a diagram showing an example of an input form provided by a property information input unit 101. [Figure 5] FIG. 2 is a diagram showing an example of a map displayed by a map display unit 103. [Figure 6] FIG. 2 is a diagram showing an example of a map displayed by a map display unit 103. [Figure 7] FIG. 2 is a diagram showing an example of a map displayed by a map display unit 103. [Figure 8] FIG. 2 is a diagram showing an example of a map displayed by a map display unit 103. [Figure 9] FIG. 2 is a diagram showing an example of a map displayed by a map display unit 103. DETAILED DESCRIPTION OF THE INVENTION

[0015] 1 is a block diagram showing a schematic hardware configuration of a property information display device 1 according to an embodiment. The property information display device 1 is an information processing device having a CPU 11, a volatile memory 13, a non-volatile memory 14, an interface 15, a bus 20, and an input / output device 17.

[0016] A CPU 11 (Central Processing Unit) reads out a program stored in a nonvolatile memory 14 via a bus 20 and executes information processing in accordance with the program to realize specific functions.

[0017] The non-volatile memory 14 is a storage device, such as a hard disk or SSD, that maintains its storage state regardless of the power state of the property information display device 1. In general, programs and data stored in the non-volatile memory 14 are expanded into the volatile memory 13 when the programs are executed.

[0018] The volatile memory 13 is a storage device that stores programs and data expanded from the nonvolatile memory 14, as well as temporary calculation data and data input or output via the input / output device 70.

[0019] The input / output device 17 includes a data output device such as a display, a data input device such as a keyboard or pointing device, a communication interface for controlling communication with the outside, etc. Display data output from the CPU 11 is displayed on the display via the interface 15. Commands and data input from the keyboard are passed to the CPU 11 via the interface 15. The communication interface obtains transmission data output by the CPU 11 via the interface 15 and outputs it to the outside. The communication interface also obtains received data from the outside and passes it to the CPU 11 via the interface 15.

[0020] 2 is a block diagram showing a schematic functional configuration of the property information display device 1. The property information display device 1 includes, as a front end, a property information input unit 101, an attribute information input unit 102, a map display unit 103, a facility information acquisition unit 104, and a scoring result display unit 105, and, as a back end, a user profile analysis unit 106, a scoring unit 107, a visualization data shaping unit 108, and a storage unit 109.

[0021] The property information input unit 101 is an input form in which the user specifies the property to be evaluated (address, property name, or any other information). FIG. 4 shows an example of an input form provided by the property information input unit 101. The property information input unit 101 provides the information entered by the user into the input form to a property information API, which extracts property information from a property information database 1091. Alternatively, the property information input by the user into the input form may be provided to an external property information API, which acquires property information from an external property information database. Alternatively, if previously acquired property information is stored in a cache 1099, the property names of the property information may be displayed as a list, and the property information of a property selected by the user from the list may be acquired from the cache 1099.

[0022] The attribute information input unit 102 is an interface for the user to input their own attributes (e.g., single, family, senior, etc.) and important conditions (e.g., education, convenience, environment, etc.). For example, the user selects attributes and conditions that apply to them from a predefined list. Alternatively, the user can provide information about interests and values ​​necessary to identify their own attributes and conditions to the attribute information input unit 102 through dialogue with an AI agent. An AI agent can achieve more advanced personalization. For example, the AI ​​agent may ask questions such as the following, and the user may provide answers in natural language: "How important is proximity to a train station to you?" "How important is the quality of schools and childcare facilities to you?" "Which do you prioritize: a quiet environment or a convenient location?"

[0023] The information entered into the list or AI agent is passed to the user profile analyzer 106 .

[0024] The map display unit 103 displays on a screen a map of the area around the property specified by the property information input unit 101. At this time, the facility information acquisition unit 104, which will be described later, acquires the facilities around the property and visualizes and displays them on the map. It is preferable that the surrounding facilities are displayed categorized using icons and colors according to their categories.

[0025] The facility information acquisition unit 104 acquires information on one or more facilities around the property from the facility information database 1092 via the facility information API. It also acquires information on one or more facilities around the property from an external facility information database via an external facility information API. At this time, it is preferable to format the facility information as needed by standardizing facility categories (including dealing with variations in the spelling of facility names). The formatted facility information is stored in the facility information database 1092.

[0026] Facility categories are information that indicate the type of facility, such as "school," "gym," "funeral home," or "religious facility." For example, for funeral homes and religious facilities with facility names such as "xx hall" or "xx hall," it is often difficult to tell what category they fall into at a glance. Therefore, in this embodiment, the facility information acquired in bulk is classified into appropriate categories using a predetermined workflow.

[0027] The workflow can use either or both of the rule-based and AI-based methods. The rule-based method employs a simple rule design that classifies facilities into specific facility categories based on their names. For example, a rule is defined in advance that classifies facility names such as "nursery school," "elementary school," and "junior high school" as "school." The rule-based method is easy to implement, allowing for the system to be built in a short period of time. To achieve more advanced categorization, the AI-based method analyzes review comments on facility information and identifies the category to which the facility belongs using methods such as clustering. The AI-based method can also handle cases where the category cannot be determined from the facility name or where there are variations in the spelling of the facility name, enabling more detailed categorization.

[0028] Scoring result display unit 105 visually displays in a predetermined display area the scores and recommendation levels calculated by scoring unit 107 (described later). Visual displays include, for example, numbers, radar charts, graphs, colored score bars, and the like.

[0029] The user profile analysis unit 106 identifies the user's attributes and conditions based on the information entered by the user in the attribute information input unit 102. The user selects attributes and conditions from a list and identifies them. Attributes and conditions can be extracted from responses to the AI ​​agent using a simple rule base or natural language processing. The user's attributes and conditions are stored in a cache 1099.

[0030] The scoring unit 107 receives the facility information acquired by the facility information acquisition unit 104 and the user profile identified by the user profile analysis unit 106 and calculates a score for the property. The score can be calculated using a predefined rule-based method or an AI-based method.

[0031] (1) Rule-based method: The rule-based approach employs a simple scoring design that adds or subtracts a predetermined number of points based on facility category for facilities located within a specified search range (e.g., a 1-km radius) centered on the target property, depending on the user's attributes and / or conditions. For example, weighted scoring rules are defined in advance, such that the "family" attribute adds more points to facility categories such as "schools" and "parks," and the "single person" attribute adds more points to facility categories such as "convenience stores," "gyms," and "restaurants." Scoring may be based on various indicators, described below, in addition to or instead of facility categories. The rule-based approach is easy to implement, allowing systems to be built in a short period of time.

[0032] (2) AI-based method: The score is calculated using an AI model (e.g., decision tree, random forest, deep learning, etc.) by combining the user's attributes and / or conditions with the categories of facilities located within a specified search area (e.g., a 1km radius) centered on the target property. The AI-based method enables more detailed property evaluation that reflects the user's detailed preferences and lifestyle, which cannot be captured by a simple attribute-based approach.

[0033] Although the above example shows an example in which property scoring is performed mainly using facility categories, the present invention is not limited to this. For example, scoring can be performed using the following indices in addition to or instead of categories. ·Distance, number, and density of facilities by category Points are added or subtracted depending on the distance (shortest distance or average distance), number, and density of facilities of a specified category located within a specified search range (e.g., 1 km radius). - Presence and distribution of negative facilities If there are facilities in a category that falls under negative facilities (e.g., "funeral homes") within a specified search range (e.g., 1 km radius), points will be deducted. Points may also be deducted according to the distance (shortest distance, average distance), number, and density of facilities. ·balance For example, if the score in any of the categories such as "Education," "Medical," or "Commerce" is extremely low, points will be deducted. -Recommendation prediction based on past user data The recommendation level of the target property to the user is calculated based on information showing the score distribution of properties that past users have actually contracted.

[0034] The visualization data formatting unit 108 formats the scores calculated by the scoring unit 107 and the facility information acquired by the facility information acquisition unit 104 to be passed to the map display unit 103 and the scoring result display unit 105. For example, after processing such as rearranging the display order of the information, specifying emphasis elements, and grouping the categories (for example, grouping the "school" and "cram school" categories as sub-elements of the "education" category), the data is formatted into a format such as JSON.

[0035] The storage unit 109 includes a property information database 1091 , a facility information database 1092 , and a cache 1099 .

[0036] The property information database 1091 includes property names, addresses, and the like.

[0037] The facility information database 1092 includes facility names, addresses, review comments, categories, etc. A single property may be assigned multiple categories. For example, multiple categories such as "school" and "education" may be assigned simultaneously.

[0038] The cache 1099 can store user attributes and conditions, property information or facility information acquired from outside, user response history, scoring models, learning data, analysis results, and the like.

[0039] FIG. 3 is a flowchart showing an example of the operation of the property information display device 1.

[0040] S101: Enter user information The attribute information input unit 102 accepts input of information about the user.

[0041] S102: Property designation The property information input unit 101 accepts the designation of the property to be evaluated.

[0042] S103: Obtain information about nearby facilities The facility information acquisition unit 104 acquires facility information around the property in a lump sum.

[0043] S104: User profile analysis The user profile analysis unit 106 determines the evaluation axis (user attributes and conditions).

[0044] S105: Scoring The scoring unit 107 calculates the score of the property based on the surrounding facility information.

[0045] S106: Map display and score display The visualization data formatting unit 108 formats the surrounding facility information and the scores, and the map display unit 103 and the scoring result display unit 105 display the surrounding facility information and the scores.

[0046] FIG. 5 shows an example of a map displayed by the map display unit 103. One or more concentric circles are drawn on the map at the center of the property. The concentric circles are indicators showing the distance from the property, and typically indicate the walking time in stages (distances equivalent to 5, 10, and 15 minutes, in descending order of proximity to the property). This allows the user to see at a glance what facilities are located within a specified distance from the property.

[0047] The concentric circle display centered on the property used in this invention is extremely effective in visualizing the facilities surrounding the property, as it allows users to understand the "distance," "walking distance," and "convenience" at a glance. In other words, by looking at the "concentric circles centered on the property," users can instantly understand which areas are within a "5-minute walk" or "10-minute walk." This is a spatial representation that is strongly linked to the existing image of consumers, which is straight-line distance and "walking minutes."

[0048] The notation of walking distances is also standardized in the Fair Competition Code for Real Estate Advertising (see Non-Patent Document 3). Visual perception experiments by Cleveland & McGill (1984) showed that information presented using "position and length (= radius)" is least likely to be misinterpreted by humans, and concentric circle UI fits this theory perfectly (see Non-Patent Document 1). Furthermore, due to the "good continuity" principle of Gestalt psychology, circles and rings are more likely to intuitively establish the image of "near / far" than complex terrain or irregular polygons (see Non-Patent Document 2).

[0049] The map display unit 103 may also display indicators indicating the categories of facilities included within the concentric circles. In the example of FIG. 5, a list of facility categories is displayed in the left pane of the screen. Each category is provided with a check box. When a check box is turned on, facilities corresponding to that category are plotted on the map. When a facility is selected on the map, facility information for that facility is displayed in a pop-up (see FIGS. 6 and 7).

[0050] The scoring result display unit 105 can display the property score on the same screen as the map or on a different screen. In Figures 5 to 7, the score is expressed numerically, such as "AI score 7.5 / 10 points," but the score is not limited to this and may be displayed, for example, as a radar chart, graph, colored score bar, or the like.

[0051] Preferably, the property / facility information display unit 1034 may display other properties (hereinafter referred to as recommended properties) that are similar in evaluation to the property specified by the user. For example, other properties (which may be all properties included in the property information database 1091, other properties within a predetermined distance from the property specified by the user, or other properties in an area specified in advance by the user) may be evaluated using a similar method, and properties with the same or similar overall scores may be extracted as recommended properties. Alternatively, properties with similar scoring trends may be extracted as recommended properties.

[0052] <Modification> While concentric circles have the advantage of "low cognitive cost," they also have the limitation of not being able to fully represent the actual range of movement (barriers such as roads, rivers, and railways cannot be taken into account). Therefore, the property and facility information display unit 1034 can also display maps in accordance with the following modified examples.

[0053] Variation 1: Arrival time contour (Isochrone Polygon) As an alternative to concentric circles, we can use "Isochrone polygons" based on road network analysis (see Figure 8, Non-Patent Document 4), which allows for a more realistic mapping of areas that are actually reachable by foot / bicycle / car.

[0054] Isochrone reflects the constraints of the terrain and road network, allowing users to intuitively view a "realistic living area." However, because the shape is complex, concentric circles may be superior in terms of ease of understanding at first glance.

[0055] Variation 2: Heat-map / multi-layer buffering By converting the density of facilities and evaluation scores in a specific area into information such as color tone and transparency and then drawing a map of that area, it is possible to visualize the "spatial distribution" of convenience and communicate it to users at a glance (Figure 9). This is effective when you want to emphasize "what types of facilities are abundant in what areas" or "which areas are highly rated."

[0056] The map display unit 103 can also display a map by appropriately combining these modified examples with the above-described embodiment. For example, a concentric circle UI is first used to encourage "quick recognition and intuitive understanding." Next, the system moves to the detailed analysis and comparison stage in response to a user operation or other trigger. In the detailed analysis and comparison stage, the map is displayed using an extended method such as isochrone or heat map. This method achieves both ease of understanding and accuracy, optimizing the balance of UX.

[0057] In the traditional real estate industry, it was extremely difficult to quickly and comprehensively assess the good and bad facilities (both objective and subjective) surrounding a particular property. The reasons for this are as follows: 1. General map apps cannot search and display multiple types of facilities at once. For example, Google Maps only allows searches for one category at a time, such as "schools" or "gyms," making it difficult to instantly view a list of complex surrounding areas. 2. Negative features (cemeteries, temples, adult entertainment facilities, etc.) were difficult to search and were not visible. These were often not displayed on maps, and their names were not standardized, so they were easily overlooked. 3. It was extremely time-consuming and unrealistic for real estate agents and individual users to research the surrounding facilities of multiple properties one by one. As a result, many gave up on gathering sufficient information. 4. The tools and know-how to automate the collection and visualization of facility information were not widespread throughout the industry. There were limited means to combine and utilize property information and surrounding facility data. 5. Users were not aware that they should investigate the surrounding environment, and investigations were often not carried out. In particular, ordinary consumers tended to make decisions based solely on the property conditions, without fully understanding the impact of facilities. 6. It was difficult to distinguish between "objectively bad facilities" and "subjectively bad facilities," making it difficult to implement automatic evaluation and filtering. 7. It was not possible to deal with variations in the spelling of facility names and local expressions. 8. Facility information was outdated or unstructured, making accurate extraction difficult. Online reviews and government data were not updated or were in formats that were difficult to process mechanically. 9. At the property brokerage site, there was no system in place to simultaneously investigate the surrounding environments of multiple properties, and no established work flow. 10. There is a culture within the industry of not disclosing negative information, so necessary information is not collected and is often overlooked.

[0058] On the other hand, in this embodiment, we have designed and constructed a workflow that automatically and simultaneously acquires facility information from multiple categories and processes it in an integrated manner. This eliminates the need to search each category one by one as in the past, and allows you to comprehensively grasp the overall picture of the surrounding environment at once.

[0059] In addition, in this embodiment, a UI / UX design was implemented to organize and classify the large amount of facility information acquired so that it can be understood visually and intuitively, and to visualize it on a map in a way that is meaningful to the user.

[0060] Furthermore, in this embodiment, by introducing a scoring algorithm based on the facility category, distance, density, etc., it is possible to go beyond simply presenting facility information and present the facility information as a quantified evaluation value of overall convenience and comfort, thereby realizing a system that directly supports users in their decision-making.

[0061] Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments and can be modified as appropriate without departing from the spirit and scope of the present invention. Any of the components of the embodiments can be modified or omitted within the scope of the present invention.

[0062] Furthermore, the information processing of the present invention may be realized by hardware or by a CPU executing a computer program, which may be supplied to a computer by various types of non-transitory computer-readable medium or transitory computer-readable medium. [Explanation of symbols]

[0063] 1 Property information display device 11 CPU 13 Volatile Memory 14 Non-volatile memory 15 Interface 17 Input / Output Devices 20 Bus 101 Property information input section 102 Attribute information input section 103 Map display section 104 Facility Information Acquisition Department 105 Scoring result display section 106 User Profile Analysis Unit 107 Scoring Department 108 Visualization data formatting unit 109 Storage section

Claims

1. an attribute information input unit that accepts input of information about the user; a property information input unit that accepts designation of a property to be evaluated; a facility information acquisition unit that collectively acquires information on one or more facilities in the vicinity of the property; a user profile analysis unit that identifies attributes and conditions of the user based on information about the user; a scoring unit that calculates a score for the property based on the facility information, the attributes, and the conditions; a map display unit that displays the shaped facility information on a map together with concentric circles centered on the property; a scoring result display unit that displays the score. Property information display device

2. The scoring unit calculates the score based on the attribute, the condition, and a category to which the facility related to the facility information belongs. The property information display device according to claim 1

3. The computer an attribute information input step for accepting input of information about the user; a property information input step for accepting the designation of a property to be evaluated; a facility information acquisition step of collectively acquiring information on one or more facilities in the vicinity of the property; a user profile analysis step for identifying attributes and conditions of the user based on information about the user; a scoring step of calculating a score for the property based on the facility information, the attributes, and the conditions; a map display step of displaying the shaped facility information on a map together with concentric circles centered on the property; a scoring result display step of displaying the score. How to display property information.

4. A program for causing a computer to execute the method according to claim 3.

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