JP7017330B2 - Matching computer, matching method and program - Google Patents

Description

The present invention relates to matching computers, matching methods and programs.

As a technique for matching the joint purchase of real estate, the technique described in Patent Document 1 is known. The technique described in Patent Document 1 analyzes the purchase desired conditions of a real estate purchase applicant for a real estate property for which a sale request has been made, and matches the real estate property with the purchase applicant. Patent Document 1 discloses a mechanism for realizing matching with a person who wishes to purchase real estate by dividing the land into real estate properties having a large land area.

Japanese Patent No. 4348419

The number of people who wish to share products and services (hereinafter collectively referred to as products), not limited to real estate properties, has increased. As the need for shared use of products increases, it is hoped that the choice of products that are candidates for shared use will expand. It is also desired that the options for selecting a partner from those who wish to share the service will be expanded. An object of the present invention is to provide a matching mechanism that expands the choices of products to be shared and expands the choices of partners for those who wish to share the use.

The matching computer of the present invention includes a user information acquisition means for acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and a product information acquisition means for acquiring the product information related to the product. , A product search means for personalizing the desired conditions of the plurality of users to search for products that meet the desired conditions, product information related to the products extracted by the search, and attribute information of the plurality of users. It is characterized by comprising a matching processing means for matching the extracted product with the plurality of users by recommending to each user.

In the matching computer of the present invention, the desired conditions include the cost burden limit of each of the plurality of users and the activity base, and the product search means is a ratio of the cost burden limit of each of the plurality of users. It is characterized by searching for a product in which the ratio of the distance from the activity base of each of the plurality of users or the distance or the time required for traveling is substantially inversely proportional to the above-mentioned.

In the matching computer of the present invention, the desired conditions include the cost burden limit for each of the plurality of users and the desired amount for the product, and the product search means includes the cost burden limit for each of the plurality of users. It is characterized by searching for a product in which the ratio of the amount and the ratio of the desired quantity to the product are substantially proportional to each other.

In the matching computer of the present invention, the desired conditions include the cost burden limit of each of the plurality of users, the activity base, and the desired amount for the product, and the product search means is the cost of each of the plurality of users. It is characterized in that the burden limit, the distance from each of the plurality of users' activity bases, the time required for the journey or the movement, and the sum of the desired amounts for the products are searched for products having a substantially equal value relationship.

In the matching computer of the present invention, the matching processing means obtains the attribute information of the plurality of users when each of the plurality of users requests to view the product information related to the extracted product. It is characterized by disclosing it to the user.

In the matching computer of the present invention, the matching processing means searches for a product that matches the desired conditions when each of the plurality of users requests to view the attribute information, and the extracted product is used. It is characterized by recommending the relevant product information to each user.

The matching computer of the present invention is characterized in that the product is a real estate property.

The matching method of the present invention includes a step of acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, a step of acquiring product information related to the product, and the plurality of users. The step of searching for products that meet the desired conditions by singularizing the desired conditions of the above, and recommending the product information related to the products extracted by the search and the attribute information of the plurality of users to each user. , The step of matching the extracted product with the plurality of users.

The matching computer program of the present invention provides the matching computer with a step of acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and product information related to the product. A step to acquire, a step of personalizing the desired conditions of the plurality of users into a single person and searching for a product that matches the desired conditions, product information related to the product extracted by the search, and attributes of the plurality of users. The information is recommended to each user, and the step of matching the extracted product with the plurality of users is executed.

According to the present invention, by singularizing the desired conditions of a plurality of users who wish to share products, the search target of the desired product is expanded and the opportunity to use the product that meets the desired product is expanded. Will be possible. That is, it is possible to expand the options for products to be shared and to expand the options for selecting a partner for users who wish to share the products. In addition, when searching for products, it is fair among users by extracting products in which the ratio of the cost burden limit between users and the ratio of the distance from the activity base or the distance or the time required for travel or movement are approximately inversely proportional. You can recommend products with a feeling. In addition, it is possible to recommend a product with a sense of fairness among users by extracting a product in which the ratio of the cost burden limit between users and the ratio of the desired amount to the product satisfy a substantially proportional relationship. Furthermore, searching for products that have a relationship of approximately equal value between the cost burden limit of each user, the distance from the activity base or the time required for the journey or movement, and the total desired amount for the product is the ratio of the cost burden limit. Even if the ratio of the distance, the distance, or the time required for movement is not approximately inversely proportional, by adjusting the ratio of the desired amount of the product, it is possible to recommend the product with a sense of fairness as a whole among the users. ..

Further, according to the present invention, product information may be recommended to each of a plurality of users who wish to share the product, and the attribute information of each user may be disclosed when the users mutually agree. Attribute information may be disclosed, candidates for shared use of products may be searched for from the attribute information, and if the users agree with each other, the product may be searched and the product information may be recommended. By not fixing the procedure and conditions for recommending product information in this way, even if the idea regarding the handling of attribute information differs for each user, the attribute information is disclosed silently, ignoring the intention of each user. It can be prevented from being done.

It is an overall system configuration diagram of real estate matching. It is a conceptual diagram of 1st Embodiment. This is an example of real estate matching according to the first embodiment. It is a schematic processing flowchart of 1st Embodiment. It is an example of the recommendation of the first embodiment. It is another schematic processing flowchart of 1st Embodiment. It is an example of another recommendation of the first embodiment. This is an example of the internal configuration of the matching computer of the first embodiment. This is an example of the user information database of the first embodiment. This is an example of the real estate information database of the first embodiment. It is a conceptual diagram of the 2nd Embodiment. This is an example of matching of the second embodiment. It is a conceptual diagram of the 3rd Embodiment. It is an example of matching of the third embodiment.

As an embodiment of the present invention, a matching process relating to shared use of real estate properties will be described, but the "product" of the present invention is not limited to real estate properties, but is a product that can be shared such as a parking lot in addition to automobiles and motorcycles. Or service. Further, "shared use" may be joint purchase or joint rental. Hereinafter, in the embodiment of the present invention, an example of matching regarding shared use of real estate properties will be described as an example of a product.

An outline of the entire system according to the embodiment of the present invention will be described with reference to FIG. In FIG. 1, user terminals 1 and 2 are terminals used by users A and B who desire shared use of rental housing. The matching computer 10 is a computer operated by a real estate company C that mediates transactions of various real estate properties including rental housing. The matching computer 10 includes a user information database 15 and a real estate information database 16. The real estate distribution database 20 is a database that provides information on real estate properties distributed in the market to the matching computer 10 of the real estate company C. The user terminal 1.2, the matching computer 10, and the real estate distribution database 20 are connected via the Internet 3.

Users A and B who wish to share rental housing access the matching computer 10 of real estate company C from user terminals 1 and 2 via the Internet 3, respectively, and search for the desired rental housing. In the search for rental housing, an employee of real estate company C may operate the matching computer 10 to search for the rental housing at the storefront of real estate company C. The matching computer 10 stores the user information and the real estate property information independently collected by the real estate company C in the user information database 15 and the real estate database 16, respectively. As for the search of real estate information, the information of the real estate property stored in the real estate distribution database 20 operated by the real estate distribution organization D can be searched.

Hereinafter, embodiments of the present invention will be described. The first embodiment is matching based on the relationship between the user's burden on the product and the distance or distance from the activity base or the time required for movement. The second embodiment is matching based on the relationship between the user's burden on the product and the desired quantity. The third embodiment is matching based on the relationship between the user's burden on the product, the distance from the activity base, the distance, the time required for movement, and the desired amount.

[First Embodiment]
Next, the concept of real estate matching according to the first embodiment will be described with reference to FIG. FIG. 2 shows an image of matching users A and B who desire shared use of rental housing with rental housing that can be shared and used that meets the desired conditions. The user A operates the terminal 1 and registers his / her desired condition in the matching computer 10. As desired conditions, the location of the activity base a (user A's work location) and the cost burden limit of 100,000 yen are registered. User B also operates the terminal 2 to access the matching computer 10 and registers the location of the activity base b (user B's work location) and the cost burden limit of 150,000 yen as desired conditions.

The matching computer 10 of the real estate company C searches for real estate properties by singularizing the desired conditions of the two users A and B. This collectively treats the desired conditions of the multiple personalities of users A and B as the desired conditions of the singular personality. The matching computer 10 extracts a real estate property in which the ratio of the cost burden limit of each of the users A and B and the ratio of the distances from the activity bases a and b satisfy a substantially inverse proportional relationship. In this example, the ratio of the cost burden limit is 100,000 yen: 150,000 yen, so for example, the distance from the activity base a and the distance from the activity base b are multiple kilometers of 15 and multiple kilometers of 10, respectively. Search for real estate properties located above the area "X" around the line. In addition, the cost burden limits of users A and B are added up, and real estate properties within the total cost burden limit are searched. In this example, the total rent is 100,000 yen + 150,000 yen = 250,000 yen, so a real estate property with a rent of 250,000 yen or less is searched. Then, among the real estate properties located on the "X" line, the real estate properties with a rent of 250,000 yen or less located in the area common to the desired areas of users A and B are selected as candidate properties, respectively. I recommend it to you. note that,

FIG. 3 is an example of an image of a candidate property. When the candidate site 1 is Meguro, the time required (corresponding to the distance) to the activity bases of users A and B is 13 minutes to Shinjuku and 19 minutes to Tokyo, and the ratio is 10:15. If the candidate site 2 is Sugamo, it takes 14 minutes to Shinjuku and 20 minutes to Tokyo, and the ratio is 10:15. Here, the ratio of the cost limit to the distance or the ratio of the distance or the time required for traveling or traveling does not have to be in a strict inverse proportional relationship. Have it. Regarding the size of this buffer, it is possible to specify an allowable value in advance when registering the desired conditions of the property.

Next, the processing procedure of the matching computer 10 will be described with reference to FIG. When users A and B who wish to share the rental housing access the matching computer 10 of the real estate company C by operating the user terminals 1 and 2, respectively, the matching computer 10 turns the search menu screen of the real estate property into the user terminal. Display. This menu screen is hierarchically configured, and an input form screen for inputting desired conditions of a real estate property on user terminals 1 and 2 is displayed on each user terminal.

From the input form screen displayed on the screen of the user terminal 1, user A inputs the activity base a (in this case, the place of work) as Shimbashi and the cost burden limit as 100,000 yen as the desired conditions for shared use of the rental housing. do. Similarly, from the input form screen displayed on the screen of the user terminal 2, the user B sets the activity base b (in this case, the place of work) in Ikebukuro and the cost burden limit to 150,000 as the desired conditions for shared use of the rental housing. Enter as a circle. Here, the activity bases a and b may specify a regional area such as Shimbashi or Ikebukuro, or may specify a work address. Further, users A and B may input a desired area. The desired area may be in Shinjuku Ward, 23 Wards, along the Chuo Line, or the like. The matching computer 10 registers the input desired condition in the user information database 15 (S401).

Next, the matching computer 10 calculates the respective positions of the activity bases a and b (S402). For example, the latitude and longitude are calculated from the address information of the registered activity bases a and b, respectively. In this example, the latitude and longitude of the activity base are calculated based on the address information of Shimbashi station and the address information of Ikebukuro station.

Next, the matching computer 10 calculates a position in which the ratio of the cost burden limit of users A and B and the ratio of the distances from the activity bases a and b satisfy the inverse proportional relationship among the registered desired conditions. Ask. In this case, the calculation is performed starting from the activity base of user B, which has a large cost burden limit. The total amount of the user A's cost burden limit of 100,000 yen and the user B's cost burden limit of 150,000 yen is 250,000 yen. Find the ratio of the cost burden limit of user A to this total amount, and then multiply the difference between the latitude and longitude of the activity base Ikebukuro and Shinbashi by this ratio to obtain the latitude and longitude of Ikebukuro, which is the starting point of the calculation. Subtract from. The matching computer 10 performs the same calculation for longitude (S403).

Next, the matching computer 10 confirms whether or not the Shinano-cho area is included in the desired areas registered by the users A and B when the calculated latitude / longitude location is in the Shinano-cho area. If the desired areas registered by users A and B are within Shinjuku Ward and 23 Wards, respectively, the matching computer 10 determines that the Shinanomachi area meets the desired conditions of users A and B.

Next, the matching computer 10 extracts rental housing with a rent of 250,000 yen or less and shared use from the real estate properties stored in the real estate information database 16 in the Shinanomachi area (S404). At this time, among the desired conditions of users A and B, information such as the floor plan and the presence / absence of a parking lot may be added to the search conditions as a request other than the rent.

Next, the matching computer 10 notifies the user terminals 1 and 2 of the extracted property information of the rental housing in the Shinano-cho area, respectively. At this time, for the terminal 1 of the user A, the property information and the person who wishes to use the joint use are recommended, such as "If you rent it jointly with Mr. B, this property". On the other hand, the terminal 2 of the user B is recommended as "If you rent it jointly with Mr. A, this property" (S405).

The matching computer 10 may inquire of the terminal 1 of the user A and the terminal 2 of the user B whether or not the users A and B disclose the attribute information to each other. When both the users A and B reply from the terminal 1 and the terminal 2 that they agree to the disclosure of the attribute information, the matching computer 10 discloses each other's attribute information to each of the terminal 1 and the terminal 2 (S406). ). Users A and B may be able to directly contact each other by including the name and contact e-mail address in the attribute information to be disclosed.

FIG. 5 is an example showing an example of recommendation of property information. For example, the matching computer 10 recommends the extracted property information of the rental housing and the information regarding the user B who wishes to share the property with the terminal 1 of the user A. As the property information, the address, the map, the exterior photograph of the building, the rent, the floor plan, the presence or absence of parking, the time required from the nearest station, etc. may be displayed on the screen. As the information about the user B who wishes to share the information, information such as age, gender, occupation, etc. is used from the attribute information of the user stored in the user information database 15. In addition, it is possible to select whether or not to contact the user B who wishes to share the service. Regarding the attribute information of the user, all the items may be disclosed from the beginning, or when the users agree with each other, the items to be disclosed may be gradually expanded. Regarding the handling of attribute information, since each user has a different idea, when registering user information, it is possible to specify when and how much attribute information is to be disclosed.

Next, other processing procedures of the matching computer 10 will be described with reference to FIGS. 6 and 7. The examples of FIGS. 4 and 5 described above are procedures for disclosing the attribute information of the user after searching for the property, while the examples of FIGS. 6 and 7 are for the property after searching for a partner who is a candidate for joint use. It is a procedure to search for.

In FIG. 6, when the user A operates the user terminal 1 to access the matching computer 10, the matching computer 10 causes the user terminal 1 to display a search menu screen for a person who wishes to share the rental housing. This search menu screen is hierarchically configured, and first, a list of joint use applicants is displayed on the user terminal 1. What is displayed on the user terminals 1 and 2 is attribute information such as age, gender, occupation, desired area, etc. As for these attribute information, the information permitted to be disclosed by each user is registered in the user information database 15 in advance. (S601).

Next, the user A looks at the list of shared use applicants displayed on the terminal 1, and is a person who has registered the same desired area as himself / herself, or a person whose age, gender, hobbies and tastes are close to his / her wishes. From among them, as a partner candidate for shared use of rental housing, we will consult with you to search for properties together. Then, when the other party who has been consulted informs that he / she agrees, the process proceeds to a specific procedure for searching for a property (S602).

An example of the procedure in the user terminal 1 will be described with reference to FIG. 7. In FIG. 7, when the user A looks at the list of joint use applicants displayed on the user terminal 1, puts a check mark on the user B, and then clicks "Yes", the user terminal 2 of the user B is displayed. A consultation regarding shared use from user A and attribute information of user A are displayed. After the user B replies that he / she agrees to the consultation, the users A and B can input desired conditions to each other and proceed to the property search.

Returning to FIG. 6, the procedure for searching for a property and recommending property information can be performed in the same manner as the above-mentioned procedure. That is, from the input form screen displayed on the screen of the user terminal 1, the user A sets the activity base a (in this case, the place of work) as Shimbashi and the cost burden limit is 100,000 yen as a desired condition for shared use of the rental housing. Enter as. Similarly, from the input form screen displayed on the screen of the user terminal 2, the user B sets the activity base b (in this case, the place of work) in Ikebukuro and the cost burden limit to 150,000 as the desired conditions for shared use of the rental housing. When input as a circle (S603), the matching computer 10 searches for properties satisfying the desired conditions input from the user terminals 1 and 2 and extracts the corresponding properties (S604), and inputs them to the user terminals 1 and 2, respectively. Recommend property information (S605).

Next, an example of the internal configuration of the matching computer 10 will be described with reference to FIG. In FIG. 6, the matching computer 10 includes a user information acquisition unit 11, a real estate information acquisition unit 12, a search unit 13, a matching processing unit 14, a user information database 15, and a real estate information database 16. In addition, although not shown, it has a communication interface with the Internet 3, an input console, and a display. The functions of the computer 10 are executed by hardware such as a CPU, a memory, and a hard disk, and software that controls these hardware.

The user information acquisition unit 11 acquires the desired conditions of the property and the attribute information of the user himself / herself, which are input by the users A and B operating the terminals 1 and 2, respectively. Of these, the desired conditions are information such as the location of the activity base such as the place of employment, the type of detached house or condominium, the floor plan, the parking lot, the desired area, and the cost burden limit. Here, the activity base may be a terminal station such as Shinjuku Station or Shinagawa Station in the area where the employee works. In addition, the desired area may be in Tokyo, in the 23 wards, along the central line, or the like.

The user information acquisition unit 11 acquires user attribute information such as addresses, names, genders, ages, occupations, current addresses, hobbies, and preferences of users A and B. In acquiring these desired conditions and attribute information, when the user's terminals 1 and 2 connect to the matching computer 10 via the Internet 3, the program preliminarily incorporated in the matching computer 10 is the user's terminals 1 and 2. The screen of the input form may be displayed for. Further, at the store of the real estate company C, the matching computer 10 may be operated to directly input the real estate information. The acquired user information is stored in the user information database 15. The user's desired conditions and attribute information may be registered in the matching computer 10 in advance prior to the property search, or may be registered each time the matching computer 10 is accessed.

The real estate information acquisition unit 12 acquires information on the property for sale or the property for rent from the terminal of the real estate owner (not shown) via the Internet 3. Property information related to real estate includes information such as address, owner name, contact information, sale price or rent, detached house or condominium, floor plan, availability of shared use, parking lot, nearest station, transportation, etc. These real estate property information may be acquired from the terminal of the real estate owner via the Internet 3, or the real estate information may be directly input by operating the matching computer 10 at the storefront of the real estate company C. The acquired real estate property information is stored in the real estate information database 16.

The search unit 13 searches for real estate properties that match the user's desired conditions acquired by the user information acquisition unit 12 from the real estate property information stored in the real estate information database 16, and extracts the corresponding real estate properties. In this search, the desired condition of user A and the desired condition of user B are singularized. Search for real estate properties in which the ratio of the cost burden limit and the ratio of the distance from each activity base are inversely proportional to the desired conditions of users A and B. Here, the distance from the activity base may be expressed not by the distance itself but by the travel time from the activity base.

The matching processing unit 14 notifies the user terminals 1 and 2 of the real estate properties searched and extracted by the search unit 13 via the Internet 3, respectively. At that time, the property information of the real estate property is notified and the candidate for joint use of the real estate property is recommended. User B's attribute information is recommended for user A's terminal 1, and user A's attribute information is recommended for user B's terminal 2. Then, the user terminals 1 and 2 can select whether or not to agree to the shared use of the real estate property, and when both the users A and B agree to the shared use of the real estate property, the real estate property and the real estate property are used. Matching with users A and B is established.

The matching processing unit 14 can make recommendations in various variations. For example, when both the user terminals 1 and 2 are notified of the outline of the property information of the real estate property and the users A and B both request to view the detailed information of the real estate property, the attribute information of each other is used. You may want to recommend it. Alternatively, when the user with the larger cost burden limit is notified of the outline of the property information of the real estate property and the user requests to view the detailed information of the real estate property, the other user is informed of his / her attribute information. May be recommended. Alternatively, the user with the larger cost burden limit is notified of the property information of the real estate property and the attribute information of the other user, and the user decides whether or not to recommend his / her attribute information to the other user. You may be able to do it.

The user information database 15 is a database that stores user information acquired by the user information acquisition unit 11. FIG. 9 shows a configuration example of the user information database 15. As user information, attribute information such as name, age, gender, hobbies, tastes, occupations, activity bases, and contact information, and desired conditions such as cost burden limit, desired area, and desired floor plan are handled.

The real estate information database 16 is a database that stores real estate information acquired by the real estate information acquisition unit 13. FIG. 10 shows a configuration example of the real estate information database 16. As real estate information, information such as detached house or condominium, address, transportation, floor plan, sale price or rent, availability of shared use, contact information of real estate owner, etc. is handled.

The matching computer 10 also includes a display unit, an operation unit, a storage unit, and a control unit (not shown).

The display unit displays a user information and real estate information registration screen, a real estate property search screen, and a search result screen. As the display unit, for example, a liquid crystal panel can be used.

The operation unit performs key operations when registering user information and real estate information and searching for real estate properties. As the operation unit, for example, a mouse, a keyboard, or a touch panel can be used.

The storage unit stores the user information database 15 and the real estate information database 16. It also stores various programs that control the operation of the matching computer 10.

The control unit is a control device such as a CPU, and operates according to a program installed in the storage unit. By executing this program, the control unit cooperates with general-purpose functions related to information processing to enter an input form for the registration screen for the user terminal, an input form for user information and real estate information, and a search form for real estate properties for the user terminal. It performs a series of processing such as guidance output at the time of search, property search and subsequent product information, recommendation and matching processing related to joint use applicants.

[Second Embodiment]
Next, the second embodiment will be described. In the real estate matching of the second embodiment, matching is performed based on the relationship between the user's burden on the product and the desired amount. Here, the desired amount represents, for example, the size of the property desired by the user when the product is real estate. Specifically, it can be expressed as XX square meters, XX tsubo, XX tatami mats, XX rooms, and the like. In addition, the time of day may be expressed as ○ hours.

FIG. 11 shows an image of matching users A and B who wish to share rental housing with rental housing that meets the desired conditions. The user A operates the terminal 1 and registers his / her desired condition in the matching computer 10. As a desired condition, register the cost burden limit of 100,000 yen. User B also operates the terminal 2 to access the matching computer 10 and registers the cost burden limit of 150,000 yen as a desired condition. Further, as the desired amount, the desired amount indicating the size of the room such as 15 square meters or more and 8 tatami mats or more may be registered in advance.

The matching computer 10 searches for real estate properties by singularizing the desired conditions of the two users A and B. The matching computer 10 extracts real estate properties in which the ratio of the cost burden limit of each of the users A and B satisfies a substantially proportional relationship. The total cost burden limit of users A and B is 100,000 yen + 150,000 yen = 250,000 yen. The matching computer 10 searches for real estate properties located above the surrounding area "Y" with a size ratio of 100,000 yen: 150,000 yen = 2: 3 from among real estate properties with rents of 250,000 yen or less. do. Then, when a property that can be shelled to 16 square meters: 24 square meters is extracted, it is recommended to each of users A and B as a candidate property.

FIG. 12 is an example of an image of the candidate property. When the candidate site 1 is Meguro, the rooms of users A and B are 16 square meters and 24 square meters, respectively, and the ratio is 10:15, which is the same as the cost limit ratio. Further, when the candidate site 2 is Sugamo, an example of a property in which 2 rooms and 3 rooms can be shared is shown. Here, the ratio between the cost limit and the area does not have to be in a strict proportional relationship, and in the property search, for example, a buffer of ± ○ square meters or ± ○% may be provided.

The internal configuration of the matching computer 10 of the second embodiment is common to the internal configuration example of the matching computer 10 of the first embodiment, but the search unit 13 is partially different. The search unit 13 of the second embodiment singularizes the desired conditions of the user A and the desired conditions of the user B, and among the desired conditions of the users A and B, the ratio of the respective cost burden limits and the desired conditions are obtained. Search for real estate properties whose property size ratio is approximately proportional

The property search procedure may be a procedure for connecting users after the property search as described in FIGS. 5 and 6 of the first embodiment, or a procedure for connecting users as described in FIGS. 7 and 8. The procedure may be such that a property search is performed later.

[Third Embodiment]
Next, the third embodiment will be described. In the real estate matching of the third embodiment, a property whose total value of the amount of money to be borne by the product, the distance from the activity base, the distance, the time required for movement, and the desired amount (size) is approximately equal is searched. Taking the case where the product is real estate as an example, the cost burden limit of each of users A and B is X and Y, and the distance from the activity base or the distance or the time required for movement is a and b, and the desired property is wide. When the values are c and d, the property having the relationship of X: Y = bc: ad, that is, the relationship of (X * a / c) = (Y * b / d) is searched. This is because the amount of money borne by the product and the distance from the activity base or the time it takes to travel or move are not in inverse proportion to each other, and there is a discrepancy, or the cost burden limit and the size of the property are approximately proportional to each other. Even when there is a discrepancy due to the imitation, fairness among users can be ensured by searching for properties that satisfy the relationship in which the users are of substantially equal value as a whole.

FIG. 13 shows an image of matching users A and B who wish to share rental housing with properties that meet the desired conditions. The matching computer 10 searches for real estate properties by singularizing the desired conditions of the two users A and B. A real estate property in which the ratio of the cost burden limit of each of the users A and B and the ratio of the distances from the activity bases a and b satisfy a substantially inverse proportional relationship is extracted. In this example, the ratio of the cost burden limit is 100,000 yen: 150,000 yen, so for example, it is located in the surrounding area where the ratio of the distance from the activity base a to the distance from the activity base b is approximately 3: 2. Search for real estate properties to do. Here, even when the ratio of the distance from the activity base does not satisfy 3: 2, by considering the size of the property, it is possible to extract a property that is fair to both users A and B. .. In this example, user A has a cost burden of 100,000 yen, a distance of 24 kilometers from the activity base, and an area of 16 square meters, whereas user B has a cost burden of 150,000 yen and a distance from the activity base. Since it is 20 kilometers and has an area of 20 square meters, the matching computer 10 can recommend property information that is substantially equal in value and fair to both users A and B.

Further, the matching computer 10 searches for a property having a property size of approximately 2: 3 when the ratio of the cost burden limit of users A and B is 100,000 yen: 150,000 yen, and the corresponding property exists. If not, by adjusting the distance from the activity base or the ratio of the distance or the time required for movement, it is possible to recommend property information that is approximately equal value and fair to both users A and B.

FIG. 14 is an example of an image of the candidate property. When Candidate Site 1 is Meguro, User A has a travel time of 24 minutes to Tokyo, which is an activity base, and is 8 tatami mats in size, while User B has a travel time of 20 minutes to Shinjuku, which is an activity base. It is a property with an area of 10 tatami mats. If the candidate site 2 is Sugamo, User A has a travel time of 24 minutes to Tokyo, which is an activity base, and an area of 20 square meters, while User B has a travel time of 20 to Shinjuku, which is an activity base. It is a property with a size of 10 tatami mats.

The internal configuration of the matching computer 10 of the third embodiment is common to the internal configuration example of the matching computer 10 of the first embodiment, but the search unit 13 is partially different. The search unit 13 in the third embodiment is a combination of the search unit 13 in the first embodiment and the search unit 13 in the second embodiment. The search unit 13 of the third embodiment singularizes the desired conditions of the user A and the desired conditions of the user B, and among the desired conditions of the users A and B, the respective cost burden limit and the distance from the activity base. Alternatively, search for a real estate property in which the total value of the desired amount (size) and the time required for traveling or moving are approximately equal in value.

The procedure for property search may be a procedure for connecting users after the property search as described in FIGS. 5 and 6 of the first embodiment, or as described in FIGS. 7 and 8, users are connected. The procedure may be such that a property search is performed later.

Although the example of matching related to real estate properties has been described above as the present embodiment, the present invention is not limited to real estate properties and can be widely applied to facilities and services for shared use.

Further, the technical scope of the present invention is not limited to the scope described in the above-described embodiment. It will be apparent to those skilled in the art that various changes or improvements can be made to the above embodiments. It is clear from the description of the claims that the form with such changes or improvements may be included in the technical scope of the present invention.

The execution order of each process such as operation, procedure, step in the device, system, program, and method shown in the claims, specification, and drawings does not use the output of the previous process in the subsequent process. As long as it can be realized by changing the order. Even if the scope of claims, the specification, and the operation flow in the drawings are explained using "first", "next", etc. for convenience, it means that it is essential to carry out in this order. It's not a thing.

1 User terminal 2 User terminal 3 Internet 10 Matching computer 15 User information database 16 Real estate information database 20 Real estate distribution database

Claims (8)

A user information acquisition means for acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and
Product information acquisition means for acquiring product information related to the product, and
A product search means that searches for products that meet the desired conditions by singularizing the desired conditions of the plurality of users.
A matching processing means for matching the extracted product with the plurality of users by recommending the product information related to the product extracted by the search and the attribute information of the plurality of users to each user. Prepare,
The desired conditions include the cost burden limit and the activity base of each of the plurality of users.
The product search means obtains a product in which the ratio of the cost burden limit of each of the plurality of users is substantially inversely proportional to the ratio of the distance from the activity base of each of the plurality of users, the distance, or the time required for movement. A matching computer that features searching. A user information acquisition means for acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and
Product information acquisition means for acquiring product information related to the product, and
A product search means that searches for products that meet the desired conditions by singularizing the desired conditions of the plurality of users.
A matching processing means for matching the extracted product with the plurality of users by recommending the product information related to the product extracted by the search and the attribute information of the plurality of users to each user. Prepare,
The desired conditions include the cost burden limit for each of the plurality of users and the desired amount for the product.
The product search means is a matching computer that searches for a product in which the ratio of the cost burden limit of each of the plurality of users and the ratio of the desired amount to the product are substantially proportional to each other. A user information acquisition means for acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and
Product information acquisition means for acquiring product information related to the product, and
A product search means that searches for products that meet the desired conditions by singularizing the desired conditions of the plurality of users.
A matching processing means for matching the extracted product with the plurality of users by recommending the product information related to the product extracted by the search and the attribute information of the plurality of users to each user. Prepare,
The desired conditions include the cost burden limit for each of the plurality of users, the activity base, and the desired amount for the product.
In the product search means, the total of the cost burden limit of each of the plurality of users, the distance from the activity base of each of the plurality of users, the distance or the time required for traveling, and the desired amount for the product are approximately equal values. A matching computer that features searching for related products. The matching processing means discloses to each user the attribute information of the plurality of users when each of the plurality of users requests to view the product information related to the extracted product. The matching computer according to claim 1 to 3 , wherein the matching computer is characterized. When each of the plurality of users requests to view the attribute information, the matching processing means searches for a product that matches the desired conditions, and the product information related to the extracted product is used by each user. The matching computer according to claim 1 to 3 , wherein the matching computer is recommended. The matching computer according to claim 1 to 5 , wherein the product is a real estate property. Matching computer,
A step of acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and
Steps to acquire product information related to the product and
A step of personalizing the desired conditions of the plurality of users into a single person and searching for products that meet the desired conditions.
A step of recommending the product information related to the product extracted by the search and the attribute information of the plurality of users to each user and matching the extracted product with the plurality of users is provided.
The desired conditions include the cost burden limit and the activity base of each of the plurality of users.
In the step of searching for the product, the ratio of the cost burden limit of each of the plurality of users to the ratio of the distance from the activity base of each of the plurality of users or the time required for the journey or movement is approximately inversely proportional. A matching method characterized by searching for a certain product . For matching computers
A step of acquiring desired conditions related to a product shared by a plurality of users and attribute information of the plurality of users, and
Steps to acquire product information related to the product and
A step of personalizing the desired conditions of the plurality of users into a single person and searching for products that meet the desired conditions.
The product information related to the product extracted by the search and the attribute information of the plurality of users are recommended to each user, and the step of matching the extracted product with the plurality of users is executed. ,
The desired conditions include the cost burden limit and the activity base of each of the plurality of users.
In the step of searching for the product, the ratio of the cost burden limit of each of the plurality of users to the ratio of the distance from the activity base of each of the plurality of users or the time required for the journey or movement is approximately inversely proportional. A matching computer program characterized by searching for a product .

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