WO2014054381A1 - Information processing system, information processing method, and program - Google Patents

Abstract

[Problem] To provide an information processing system, information processing method, and program capable of providing suitable product information with an advantageous understanding of different needs for each user. [Solution] The present invention is provided with: a property registration unit (141) which receives registration of a plurality of product information units for which attribute values have been set for each of a plurality of attributes; a parameter setting unit (143) which receives input of user tastes information for each of the plurality of attributes; a conjoint study unit (145) which, on the basis of the tastes information, receives user input for imparting a rank order for a plurality of virtual products for which a portion of attribute values are each different; a conjoint analysis unit (150) which, on the basis of the rank order, obtains relative degrees of importance for among the plurality of attributes; a property evaluation unit (160) which, on the basis of the attribute values possessed by each of the product information units and the relative degrees of importance among the attributes, evaluates each of the plurality of product information units; and a property presentation unit (147) which, on the basis of the results of evaluation by a property evaluation unit (140), outputs a plurality of product information units.

Description

Information processing system, information processing method, and program

Some aspects according to the present invention relate to an information processing system, an information processing method, and a program.

In recent years, it has become easier to compare and examine a large number of products related to the same category that the user desires to purchase due to the improvement of the processing capability of the information processing apparatus and the spread of the Internet. However, if there are too many products, the amount of information increases too much, and eventually it may be difficult for the user to determine which product is most suitable for him.

Therefore, Patent Literature 1 discloses a compatible product recommendation system that can present a user with the best real product after detecting the potential needs of the user using a method called conjoint analysis. In this system, a user's needs are detected by performing conjoint analysis based on order information obtained by rearranging virtual product cards relating to virtual products prepared in advance in a preferred order by a user who is a subject.

Also, there are things that are difficult to evaluate in general, such as real estate such as land and condominiums and used cars. When buying and selling such items, it is often priced by appraisal, for example, by a real estate agent or used car dealer, but it is difficult for the seller to know how valid the pricing is. . In addition, the purchase price often varies depending on the trader.

Patent Document 2 discloses a real estate evaluation system capable of evaluating an appropriate real estate. The technique described in Patent Document 2 discloses that a typical price is calculated after searching for real estate in a certain range from an appraisal target point.

Japanese Patent No. 4317588 JP 2006-146609 A

However, when trying to grasp the potential needs of users based on virtual products prepared in advance as described in Patent Document 1, what values are set in advance for the attributes of these virtual products. Depending on what, the needs of the user who can be grasped change.
Further, the method described in Patent Document 2 merely calculates a typical price depending on the real estate price around the designated point. Since actual transactions are conducted with buyers, it is required to provide sellers with information such as prices in line with buyers' actual needs.

Some aspects of the present invention have been made in view of the above-described problems. An information processing system and an information processing method capable of providing appropriate product information after appropriately grasping different needs for each user One of the purposes is to provide a program.

Also, some aspects of the present invention have an object to provide an information processing system, an information processing method, and a program that can provide evaluation information according to the needs of the buyer to the seller.

One information processing system according to the present invention receives a registration unit that receives registration of a plurality of product information in which attribute values are set for a plurality of attributes, and inputs user preference information for each of the plurality of attributes. A first input unit, a second input unit that receives a user input for ordering a plurality of virtual products having at least some attribute values different from each other based on the preference information; and Based on an order for a plurality of virtual products, a calculation unit for obtaining a relative importance between the plurality of attributes for the user, and the plurality of product information, attribute values of the plurality of attributes included in each product information, An evaluation unit that evaluates each based on the relative importance between the plurality of attributes, and an output unit that outputs the plurality of product information based on an evaluation result by the evaluation unit; Provided.

One information processing system according to the present invention includes: a first input unit that receives input of product information in which attribute values are set for a plurality of attributes; and preference information regarding a plurality of buyers for each of the plurality of attributes. A second input unit that receives the input, an evaluation unit that evaluates the product information based on the preference information, and an output unit that outputs an evaluation result based on the preference information for the product information.

One information processing method according to the present invention includes a step of receiving registration of a plurality of product information in which attribute values are set for a plurality of attributes, and a step of receiving input of user preference information for each of the plurality of attributes. And receiving a user input for placing an order for a plurality of virtual products in which at least some attribute values of the plurality of attributes are different from each other based on the preference information, and based on the order for the virtual product, Obtaining a relative importance level among the plurality of attributes in the user, the attribute values of the plurality of attributes included in the product information, and the relative importance levels between the plurality of attributes. The information processing apparatus performs a step of evaluating each of the information based on the information and a step of outputting the plurality of product information based on the result of the evaluation Broadcast processing method.

In one information processing method according to the present invention, a step of receiving product information in which attribute values are set for a plurality of attributes, respectively, and input of preference information relating to a plurality of buyers for each of the plurality of attributes The information processing apparatus performs a step, a step of evaluating the product information based on the preference information, and a step of outputting an evaluation result based on the preference information for the product information.

One program according to the present invention includes a process of receiving registration of a plurality of product information in which attribute values are set for a plurality of attributes, a process of receiving input of user preference information for each of the plurality of attributes, Based on the preference information, at least a part of the attribute values of the plurality of attributes, a process of receiving user input for ordering a plurality of virtual products, and based on the order of the virtual products, The process of obtaining the relative importance between the plurality of attributes, the plurality of product information, the attribute values of the plurality of attributes included in each product information, and the relative importance between the plurality of attributes And a program for causing a computer to execute a process of evaluating each of the processes and a process of outputting the plurality of product information based on the result of the evaluation. .

One program according to the present invention includes a process of receiving input of product information in which attribute values are set for a plurality of attributes, and a process of receiving input of preference information relating to a plurality of buyers for each of the plurality of attributes. A program for causing a computer to execute a process of evaluating the product information based on the preference information and a process of outputting an evaluation result based on the preference information for the product information.

In the present invention, “part”, “means”, “apparatus”, and “system” do not simply mean physical means, but “part”, “means”, “apparatus”, “system”. This includes the case where the functions possessed by "are realized by software. Further, even if the functions of one “unit”, “means”, “apparatus”, and “system” are realized by two or more physical means or devices, two or more “parts” or “means”, The functions of “device” and “system” may be realized by a single physical means or device.

According to some aspects of the present invention, an information processing system and an information processing method capable of providing appropriate product information after appropriately grasping different needs for each user based on different preferences for each user And programs can be provided.

Further, according to some aspects of the present invention, it is possible to provide an information processing system, an information processing method, and a program that can provide evaluation information according to the needs of the buyer to the seller.

It is a block diagram which shows the function structure of the system which concerns on embodiment of this invention. It is a figure which shows the specific example of property information. 3 is a flowchart for explaining a flow of processing of the information processing apparatus illustrated in FIG. 1. It is a figure for demonstrating the specific example of the setting method of a parameter. It is a figure for demonstrating the specific example of the setting method of a parameter. It is a figure for demonstrating the specific example of the setting method of a parameter. It is a figure for demonstrating the specific example of a conjoint investigation. It is a figure for demonstrating the specific example of a conjoint investigation. It is a figure for demonstrating the example of the specific method of a conjoint analysis. It is a figure which shows the specific example of the result of a conjoint analysis. It is a figure which shows the specific example of the presentation method of property information. 3 is a flowchart for explaining a flow of processing of the information processing apparatus illustrated in FIG. 1. It is a figure which shows the specific example of the registration screen of the property information used as a sale candidate. It is a figure which shows the specific example of the registration screen of the property information used as a sale candidate. It is a figure which shows the specific example of the presentation method of evaluation information. It is a figure which shows the specific example of the presentation method of evaluation information. It is a block diagram which shows the structure of the hardware which can mount the information processing apparatus shown in FIG.

Embodiments of the present invention will be described below. In the following description and the description of the drawings to be referred to, the same or similar components are denoted by the same or similar reference numerals.

(Embodiment)
1 to 17 are diagrams for explaining the embodiment. Hereinafter, embodiments will be described along the following flow with reference to these drawings. First, “1” describes the functional configuration of the entire system including the information processing server according to the embodiment. Next, the outline of the process flow for the purchase applicant side of the information processing server is described in “2”, and then the details of each process are described in “3” with specific examples. Subsequently, in “4”, an outline of the processing flow for the sales applicant side of the information processing server is described, and in “5”, details of each processing are described with specific examples. In “6”, a specific example of a hardware configuration capable of mounting an information processing server will be described. Finally, the effects and the like according to the present embodiment will be described after “7”.

(1 System functional configuration)
(1.1 System overview)
FIG. 1 is a diagram illustrating a schematic configuration of a system 1 including an information processing server 100 which is an embodiment of the information processing system. As shown in FIG. 1, the system 1 includes an information processing server 100, terminals S <b> 1 to Sn (hereinafter also collectively referred to as a terminal S) of a person who wants to sell a property (seller), and a buyer (buyer). Terminals B1 to Bm (hereinafter also collectively referred to as terminal B). The information processing server 100, the terminal S, and the terminal B can communicate with each other via the network N. Specific examples of the network N include the Internet and an in-house network (intranet) of a real estate agent that manages the information processing server 100 and the like.

System 1 provides information on real estate properties registered by prospective sellers according to the preferences of each prospective buyer. More specifically, the sales applicant registers the property information of the property to be sold in the property information database (DB) 110 managed by the information processing server 100 by operating the terminal S. The purchase applicant operates the terminal B to set the parameters and evaluate the virtual property to the information processing server 100 so that the property information can be acquired according to the preference of each purchase applicant. (Details of parameter setting and evaluation of virtual properties will be described later.) The information processing server 100 transmits, to the terminal B, suitable property information that matches the preference of the purchase applicant based on the parameter setting and property evaluation from the purchase applicant.

Further, the information processing server 100 evaluates the property information related to the candidate property for sale newly input by the sales applicant operating the terminal S based on the preference information input by each purchase applicant and the evaluation. The evaluation information as a result can be transmitted to the terminal S. More specifically, after setting various amounts (prices) in the property information of the properties that are candidates for sale, the evaluation information such as how many purchase applicants highly value the property information for each amount The information processing server 100 can transmit to the terminal S. This makes it possible for a person who wants to sell to know objective information on how many people the property is likely to buy at a price.

Here, the terminal S and the terminal B are not necessarily operated by the person who wants to sell the property or the person who wants to purchase the property. For example, it may be a real estate broker who receives a request from a person who wants to sell or purchase, or a real estate agent himself. In particular, for the prospective seller, for example, the assessment information for the property information of the candidate property for sale can be obtained by the prospective seller himself without going through a real estate agent, etc. Regarding the registration in the property information DB 110, the real estate agent may consider that the applicant for sale enters into a brokerage contract. However, for the sake of simplicity, description will be made assuming that the terminal S and the terminal B are operated by the person who wants to sell the property or the person who wants to purchase the property, unless otherwise specified.

In this embodiment, a case where processing is performed on a real estate property, particularly a property for sale, is described as an example, but the present invention is not limited to this. For example, it may be a real estate property or a rental property, and other than real estate, for example, article information such as a used car, and other job information (these can be collectively referred to as “property information”). .)) Can be considered as a processing target. In the present embodiment, the case where the system 1 targets both newly built properties and second-hand properties will be described as an example. However, the present invention is not limited to this, and only one of the properties is handled. It is also possible to do.

As described above, the information processing server 100 receives registration of property information to be sold from the terminal S of the seller who wants to sell, and receives parameter setting indicating the purchaser's preference and evaluation of the virtual property from the terminal B of the buyer. Operation information is received. In addition, the information processing server 100 transmits information on a property to be recommended to the terminal B of the purchase applicant. On the other hand, the information processing server 100 evaluates the sale candidate property information input from the terminal S of the applicant for sale based on the preference information related to a plurality of purchase applicants and the like. An evaluation result (evaluation information) on the sale price for the product information is transmitted to the terminal S of the person. Details of the configuration of the information processing server 100 having such a function will be described later in “1.2”.

The terminal S is one or more information processing terminals operated by a person who wants to sell and the terminal B is operated by a person who wants to purchase. The terminal S and the terminal B can be realized as various information processing apparatuses such as a personal computer, a mobile phone (whether it is a so-called feature phone or a smartphone), and a tablet terminal. It is also conceivable that one information processing terminal operates as the terminal S of the applicant for sale and the terminal B of the applicant for purchase. Further, it is conceivable that at least one of the terminal S and the terminal B is realized as one information processing apparatus combined with the information processing server 100.

(1.2 Configuration of information processing server)
Hereinafter, the functional configuration of the information processing server 100 will be described. As shown in FIG. 1, the information processing server 100 includes a property information DB 110, a purchaser preference information DB 120, a contract example DB 130, a GUI (Graphical User Interface) providing unit 140, a conjoint analysis unit 150, and a property evaluation unit 160. .

Here, in the example of FIG. 1, each function of the information processing server 100 is expressed as being realized by a single information processing apparatus, but is not limited thereto, and is realized by a plurality of information processing apparatuses. It is also possible. In particular, the processing related to the provision of property information to the purchase applicant side, which will be described later, and the processing related to the provision of evaluation information for the property information related to the sale candidate to the sales applicant side should be realized by different information processing devices. Is also possible.

The property information DB 110 is a database that manages property information registered by a person who wants to sell by operating the terminal S. FIG. 2 shows a specific example of property information registered in the property information DB 110. As shown in FIG. 2, the property information includes various attribute information for each segment, such as basic information, location, building, residence, management, and image. For example, the segment “basic information” has attributes such as “XXXXX”, “201”, “Tokyo XX ward XX- □” for the attributes such as the building name, room number, and location address. The values for the segment “location” are “X line”, “X station”, “5 minutes”, “Type 2 middle- and high-rise residences” for the attributes such as the railway line, station name, number of minutes on foot, and restricted area. An attribute value such as “dedicated area” is set. In the segment “building”, attribute values such as “used”, “January 2000”, and “A” are set for each attribute such as new construction category, date of construction, and seller brand evaluation. . For the segment “Residence”, “Second floor”, “Corner”, “ * M ² ”,“ A ”,“ B ”,“ C ”attribute values are set. In addition, the segment “management” includes information on management associations, parking lots, and bicycle parking lots, and the segment “image” includes photographs inside and outside the building (not shown).

Note that the property information may include attribute information other than that illustrated in FIG. 2, or a part of the attribute information illustrated in FIG. 2 may be omitted. In the drawings according to the present embodiment, the unit is expressed in the metric system. However, the unit is not limited to this, and the yard / pound method may be used. Moreover, it is also possible to express the number of rooms (for example, Studio Apartment, 2 Bed Rooms, 2 Bath Rooms, etc.) as a unit indicating the area, instead of the area unit.

The purchaser preference information DB 120 is a parameter (preference information) indicating the preference of each purchase applicant inputted from each purchase applicant, a result of conjoint analysis of each purchase applicant described later with reference to FIG. Manage information about. Evaluation information on a candidate property for sale to a seller who will be described later is generated based on purchaser preference information stored in the purchaser preference information DB 120. In addition, information on when each purchaser wants to move (for example, whether to move within 3 months or 3 months is good but not particular), information about location and facilities (for example, “Elementary school is within 10 minutes walk”, “pet-friendly apartment”, “double floor”, etc.) can also be registered in the purchaser preference information DB 120.

The contract case DB 130 manages the property information of the literature that has already been sold and sold (same information as the property information shown in FIG. 2) and the transaction price at that time. As will be described later, when presenting information on the average transaction price of similar property information to the applicant for sale when providing evaluation information to the candidate for sale to the candidate for sale, the contract case DB 130 is referred to The average transaction price information is generated.

The property information DB 110, the purchaser preference information DB 120, and the contract example DB 130 are stored in, for example, an HDD (Hard Disk Drive) or an SSD (Solid State Drive) not shown.

The GUI providing unit 140 provides a user interface for transmitting and receiving information between the terminal S and the capital B. In the present embodiment, the GUI providing unit 140 includes a property registration unit 141, a parameter setting unit 143, a conjoint survey unit 145, a property presentation unit 147, and an evaluation information presentation unit 149.

The property registration unit 141 provides a user interface for accepting registration of property information whose specific example is shown in FIG. 2 from the terminal S1 of the applicant for sale. The property information input by the property registration unit 141 includes registration of property information to be registered in the property information DB 110 and registration of property information not to be registered in the property information DB 110 but simply to evaluate a candidate property for sale. There are types. The registration of property information for performing evaluation related to the sale candidate property will be described later with reference to FIGS. 13 and 14.

The parameter setting unit 143 is a GUI (display screen) for receiving settings of parameters (preference information) indicating the user's preference from the user who is a purchase applicant on the screens shown in specific examples in FIGS. Is transmitted to the terminal B and the parameter is received from the terminal B. At this time, for example, the user has an ideal range (for example, “A”) for various items (attributes) such as an area associated with each property information, a cityscape, and a distance from the station. It is possible to set an allowable range (for example, “B”), an unacceptable range (NG range), and the like. Of these, properties that fall within the ideal range and allowable range are subject to the conjoint analysis described below. Further, property information having at least one parameter in an unacceptable range is excluded from the object of recommendation (not evaluated) to the user by screening. The parameters (preference information) set using the parameter setting unit 143 are stored in the purchaser preference information DB 120 in association with each user.

The conjoint research unit 145 presents virtual property information for investigating the user's preferences from a user who is a purchaser (purchase applicant) on a screen shown in a specific example in FIGS. 7 and 8 to be described later. Then, an operation input for ranking the virtual property information is received.

Here, the virtual property information includes virtual parameters in which parameters set as “ideal range” and “allowable range” by parameter setting in the parameter setting unit 143 are set as attribute values. This is property information. The virtual property information does not need to be property information of a real property registered in the property information DB 110, and can be created virtually in order to grasp the user's preference. Each virtual property information has at least some attribute information values (attribute values) different from each other. The conjoint analysis unit 150 determines which attribute has a greater meaning to other users by assigning a rank to virtual property information having different attribute information. It can be understood by joint analysis.

Note that the conjoint research unit 145 may create virtual property information for all combinations of attribute information, but if implemented in such a manner, the number of virtual property information becomes enormous, and the user is appropriately There is a possibility that you will not be able to order. Therefore, in this embodiment, the number of virtual properties to which the user ranks is reduced by a method using an orthogonal table of all concept methods (full profile method).

The property presentation unit 147 outputs (transmits) each property information registered in the property information DB 110 to the terminal B based on the result of the property evaluation unit 160 evaluating the property information according to the preference of the user who wants to purchase. Thereby, the user can suitably obtain property information in the order according to his / her preference. A specific example of the property presentation method by the property presentation unit 147 will be described later with reference to FIG.

The evaluation information presenting unit 149 evaluates the property information based on the purchaser's preference information stored in the purchaser preference information DB 120 with respect to a user who is a sale applicant who has inputted the property information of the sale candidate property. The evaluation information is displayed on the terminal B by generating and transmitting a GUI (display screen) indicating the evaluation information that is the result of the evaluation by the unit 160. In this evaluation information, for example, for each price that can be set in the property information, the number of the entered property information is in the top (for example, the top 10 or the top 50) in the purchase requester's preference order, etc. Information is included. A specific example of a method for presenting evaluation information by the evaluation information presenting unit 149 will be described later with reference to FIGS. 15 and 16.

The conjoint analysis unit 150 performs a conjoint analysis that analyzes the user's preference based on the result of the conjoint survey performed by the conjoint survey unit 145 to rank the virtual properties. In the conjoint analysis, it is possible to obtain the relative importance with respect to the attributes of each property information. There are various conjoint analysis methods such as least square analysis (multiple regression analysis), monotone regression analysis, logit model, probit model, and the like. Here, the case of using least square analysis will be described as an example. Details of the conjoint analysis performed by the conjoint analysis unit 150 will be described later with reference to FIG.

The property evaluation unit 160 evaluates the attribute value of the attribute of each property information according to the relative importance between the attributes performed by the conjoint analysis unit 150, and thereby the degree of user preference for each property information Is calculated. A specific example of the property evaluation method by the property evaluation unit 160 will be described later with reference to FIG.

(2 Flow of processing related to services to purchasers)
Hereinafter, the processing flow of the information processing server 100 related to the service to the purchase applicant side will be described with reference to FIG. FIG. 3 is a flowchart showing a flow of processing leading to property presentation in the information processing server 100. In the flowchart of FIG. 3, processing related to property registration is omitted.

Here, each processing step, which will be described later, can be executed in any order or in parallel as long as there is no contradiction in processing contents, and other steps are added between the processing steps. Also good. Further, a step described as a single step for convenience can be executed by being divided into a plurality of steps, and a step described as being divided into a plurality of steps for convenience can be executed as one step. This also applies to the flowchart shown in FIG.

First, the information processing server 100 inputs a parameter (attribute value) from the terminal B by providing the terminal B with a user interface for parameter setting in response to a request from the terminal B of the user who is a purchase applicant. (S301). As described above, the parameter (attribute value) received here is an ideal range (for example, “A” for various items (attributes) associated with the property information, such as the area, cityscape, and distance from the station. ”), An allowable range (for example,“ B ”), and an unacceptable (NG range). Details of specific examples of parameters that can be set by the user will be described with reference to FIGS.

Based on the parameters received from the user in S301, the conjoint survey unit 145 performs a conjoint survey on the user in two stages (basic conjoint survey (S303 and S305) and premium conjoint survey (S307 and S309). Call it separately.) The basic conjoint survey and the premium conjoint survey have different attribute groups for performing user preference surveys. In this embodiment, in the basic conjoint survey, area, cityscape, station distance (minutes walk from the station), building age (or information on whether it is new or used), size, sunlight, and positional relationship (for example, in an apartment) This information includes information such as whether it is a corner room, whether it is the top floor, whether it is the second floor or higher, etc.), and price information. On the other hand, in the premium conjoint survey, the survey targets are area, seller brand (brand evaluation), view, space expanse (whether the space feels wide), a sense of grade, and price.

The reason why the conjoint survey is conducted in two stages is to reduce the number of comparisons of users in each survey. As the number of attributes to be investigated increases, the number of virtual properties that the user should rank increases exponentially. However, as described above, if the number of virtual properties increases, the user will be confused, and there is a high possibility that the user will not be able to properly rank. Therefore, in this embodiment, by dividing the attribute into two groups, the number of virtual properties required for the conjoint survey is reduced, and as a result, the user is easily ordered.

Of the attributes that are surveyed by the basic conjoint survey and the premium conjoint survey, the size and price are the survey target items in common. This is to provide the same parameters for the basic conjoint survey and the premium conjoint survey, thereby clarifying the relationship between both attributes and integrating the results of both surveys. This integration of survey results will be described later with reference to FIGS.

After completion of the conjoint survey for the user by the conjoint survey unit 145, the conjoint analysis unit 150 performs a conjoint analysis for evaluating the relative importance of the attributes of the user (S311). In the conjoint analysis, a scale (corresponding to an evaluation value and corresponding to “Utility” described later) of how much the user evaluates when each attribute that each property information can have takes which attribute value is calculated. The These scale information is stored in the purchaser preference information DB 120 in association with user information.

The property registration unit 141 evaluates each property information registered in the property information DB 110 according to the scale obtained as a result of the conjoint survey by the conjoint analysis unit 150 (S313). More specifically, first, in the parameter setting of S301, all properties having attribute values in a range set as unacceptable (NG) by the user are screened (excluded). Next, by evaluating the remaining property information according to the scale obtained by the conjoint analysis with respect to the attribute values possessed by each, the evaluation value for each property information (estimated user preference) Is calculated. In the present embodiment, the property evaluation value calculated by the property evaluation unit 160 corresponds to the sum of evaluation values related to attribute values set in each property information.

When all the processing for the property information registered in the property information DB 110 is completed, the property presentation unit 147 transmits (outputs) these property information to the terminal B operated by the user in the order of preference (S315). ). Thereby, the user can obtain a list of suitable property information in accordance with his / her preference.

Thereafter, if a parameter change is input from the user (Yes in S317), the GUI providing unit 140 determines whether or not the parameter change is accompanied by a large change in user preference ( If the parameter change is large (Yes in S319), the process is repeated from S303. If the parameter change is small (No in S319), the process is repeated from S313. The case where the parameter change is large may be, for example, a case where the change range of the parameter set by the user exceeds a threshold value, or a case where the numerical values of a plurality of parameters are changed.

As a general rule, if the parameters are changed, it is considered that it is more accurate to restart the conjoint survey. However, since the conjoint survey imposes a load on the user, Thus, when the change is small, the user load can be reduced by omitting the conjoint survey.

(3 Specific examples of processing related to services to purchasers)
Hereinafter, a specific example of processing of the information processing server 100 related to the service to the purchase applicant side will be described with reference to FIGS. 4 to 11.

(3.1 Parameter setting)
First, a specific example of a method for receiving parameter settings from a user will be described with reference to FIGS. 4 to 6 are diagrams illustrating specific examples of user interfaces provided by the parameter setting unit 143 to the terminal B when receiving parameter settings from the user. Hereinafter, it demonstrates in order.

(3.1.1 Area setting)
FIG. 4 is a diagram illustrating a specific example of a screen for the user to set an area related to the target property. In the screen of FIG. 4, a line 41 and a line 43 (also referred to as drawing lines 41 and 43) are input by the user using a mouse or the like, and each is an ideal area of the property that the user wants to search for. (A in the figure) is received from the user by a line 41, and an allowable area (B in the figure) is received by a line 43.

Note that the area setting method is not limited to this, and various methods are conceivable. For example, after designating a route, it may be possible to designate a method such as designating the number of minutes on foot from the station on the route, designating a school district, or designating with the strength of the ground.

(3.1.2 Cityscape setting)
FIG. 5 is a diagram illustrating a specific example of a screen for the user to set a cityscape related to the target property. In the example of FIG. 5, whether the user is ideal (“A” in the figure), acceptable (“B” in the figure), or unacceptable (“NG” in the figure) for each use area defined by the City Planning Law. ]) And a description area 53 for explaining each use area.

In the setting area 51, as described above, an ideal area (A) can be allowed for each use area such as a first-class low-rise residential area, a second-type low-rise residential area, a first-type middle- and high-rise residential area, and the like. The user's preference information can be registered when the user inputs “◯” in either the region (B) or the unacceptable region (NG).

In the explanation area 53, for each use area in the City Planning Act, such as a first-class low-rise residential area, a second-class low-rise residential area, a first-class middle- and high-rise residential area, An explanatory note is written. The user can register user preference information in the setting area 51 while referring to the description.

(3.1.3 Other parameter settings)
FIG. 6 is a diagram illustrating a specific example of a screen for the user to set other parameters. In the example of the screen of FIG. 6, the distance from the station, the new construction or the age of the building, the area, the position in the building, the daylight, and the price can be set.

Regarding the distance from the station, the ideal range (A), acceptable range (B), and other (unacceptable range, NG) can be set by inputting a threshold value that delimits these ranges. ing. In terms of age and size, ideal age range (A), acceptable age range (B), and others (unacceptable range) are ideal for age. An area range (A), an allowable exclusive area range (B), and other areas (an unacceptable range) can be set by inputting a threshold value that delimits these ranges.

As for the position in the building, “the top floor of the 4th floor or higher” for each of the “corner room” (a room where at least two directions are not adjacent to other rooms) and the “medium room” (other than the corner room) , "Middle hierarchy of 4th floor or higher", "2-3 floor", "1st floor" is ideal for buyer (A), acceptable (B), unacceptable (NG), It can be set by inputting "○". At this time, evaluation may be performed including frontage information.

With regard to sunlight, the ideal daylight (in the example of FIG. 6 “generally southward, with almost nothing blocking the sunshine”) and acceptable sunlight (in the example of FIG. 6 “facing east or west, Alternatively, the user can set the conditions for unacceptable sunlight (in the example of FIG. 6, “not so much sun”).

Regarding the price, you can set the budget range, the price range that is a little cheap and happy, the marginal maximum price range, and other (unacceptable range) by entering each threshold. .

Note that parameters (attributes) that can be set by the user and items (attributes) to be subjected to conjoint investigation and conjoint analysis described later are not limited to those in the present embodiment. For example, another attribute such as a floor plan may be considered as a survey item.

(3.2 Conjoint Survey)
Next, a specific example of a screen related to the conjoint survey will be described with reference to FIGS. 7 and 8 are diagrams illustrating specific examples of the user interface provided to the terminal B by the conjoint survey unit 145 during the conjoint survey. Hereinafter, it demonstrates in order.

As a method of conjoint survey, there are a number of methods such as a two-factor list method and a paired comparison method in addition to the ranking method of all concept methods (profile method) used in this embodiment. Any method may be used as long as it is an investigation method that finally understands the degree of preference of each attribute of the user.

(3.2.1 Basic conjoint survey)
FIG. 7 is a diagram illustrating a specific example of a screen when performing a basic conjoint survey for a user. In the example of FIG. 7, it relates to a virtual property with attribute values for the area, cityscape, distance from the station, building age, area, sunlight, location in the building, and price, which are attributes related to the basic conjoint survey. Information is shown as card 1 and card 2.

Here, the attribute values set for each card are based on the parameters input in “3.1” above, and as described above, each virtual property information used for the conjoint survey has an attribute value. At least some of them are different. In the example of FIG. 7, the age (Card 1 is 5 years old, Card 2 is 20 years old), the condition of the sun (Card 1 is less sun-lit, Card 2 is very sunny), the streets (Card 1 is very much Good cityscapes, card 2 is a cityscape with no problem), and other attribute values are the same.

The user chooses which property is more preferable for the card 1 and the card 2. By repeating the ordering of these two virtual properties over and over again, the conjoint survey unit 145 creates a concatenated survey of the user rankings of information related to all virtual properties created for the basic conjoint survey. The part 145 can be obtained.

(3.2.2 Premium conjoint survey)
FIG. 8 is a diagram illustrating a specific example of a screen when a premium conjoint survey is performed on a user. In the example of FIG. 8, the information relating to the size, seller brand, view, space expanse, grade, and price, which are attributes related to the premium conjoint survey, is shown as a card 1 and a card 2.

As with the basic conjoint survey, each virtual property information shown on each card has a different attribute value. In the example of FIG. 8, the information regarding the size, the view, and the spread of the space is different, and the other attribute values are the same.

The point that the user repeats the comparison of the two cards, so that the conjoint research unit 145 grasps the order of the users related to all the virtual properties created for the premium conjoint research. It is the same.
(3.3 Conjoint analysis)

Hereinafter, a specific example of conjoint analysis will be described with reference to FIG. Here, a case where least square analysis is used as a conjoint analysis method will be described as an example, but the present invention is not limited to this. Any analysis method may be used as long as it is an analysis method that shows the degree of preference for each attribute of the user.

Here, the method of conjoint analysis is explained in an abstract manner. In the example of FIG. 9, eight conjoint investigation cards are created, and attribute values for the attributes of items A to E are set for each card. For example, with respect to item A, as shown in the table on the left side of FIG. 9A, the attribute value “a” is assigned to the cards 1, 2, 3 and 7, and the attribute value “b” is assigned to the cards 5 and 6. An attribute value “c” is set for each of the cards 4 and 8.

Also, as a result of the conjoint survey, it is assumed that the user ranks each card in the order of cards 7, 1, 8, 5, 2, 6, 3, 4. According to the ranking, these cards are given points from 1 to 8 points.

(3.3.1 Utility)
Hereinafter, a method for obtaining a relative evaluation value (Utility) for the user with respect to each value (attribute value) of the item A will be described with reference to FIG.

The conjoint analysis unit 150 obtains an average value of user points set on a card having each of the attribute values a, b, and c that can be taken by the item A. For example, with regard to the attribute value a, the attribute value a is set for the cards 1, 2, 3 and 7, and the respective points are 7, 4, 2, and 8. Therefore, the average value is 5.25. It becomes a point. If the average values are similarly calculated for the attribute values b and c, they are 4 points and 3.5 points, respectively.

By adjusting this so that the average value becomes 0, it is possible to obtain Utility 1 for attribute value a, Utility -0.25 for attribute value b, and Utility -0.75 for attribute value c.

This Utility corresponds to an index indicating how much the attribute value of each item (attribute) has an influence on the order of the cards. That is, by calculating Utility for the attribute values of all items (attributes), it is possible to obtain the importance of each attribute value in consideration of the relative importance of each attribute.

(3.3.2 Importance)
Next, how to determine the importance indicating the importance of each attribute will be described with reference to FIG.

For calculating the importance, first, the difference between the maximum value (max) and the minimum value (min) of the Utility for each attribute (item A to item E in the example of FIG. 9) is calculated. In the example of FIG. 9, the difference between the maximum value and the minimum value of Utility related to item A is 1.75, item B is 1.5, item C is 3, item D is 1, item E is 2. 5. The importance of each attribute (item) can be calculated as the specific gravity in the total of these values. Since the sum of the differences between the maximum and minimum values for each item is 9.75, the specific gravity of Item A is calculated by dividing 1.75 by 9.75 and rounding off to four decimal places. 17.949. For other items (attributes), Importance can be calculated in the same manner.

(3.3.3 Results of conjoint analysis)
The result of the conjoint analysis performed by the method described in “3.3.1” and “3.3.2” will be described with reference to FIG. FIG. 10 is a diagram illustrating a specific example of Utility and Importance obtained as a result of conjoint analysis.

As can be seen from FIG. 10, for each of the basic conjoint analysis and the premium conjoint analysis, “Importance” is calculated for each target attribute, and “Utility” is calculated for each attribute value.

For example, taking the “area” attribute of a basic conjoint as an example, the “area” attribute has an importance of 17.76 and an attribute value A (corresponding to the area surrounded by the line 41 indicating the interface in FIG. 4). It can be seen that Utility (relative importance of the user with respect to the attribute value A) is 2.375, and Utility (relative importance of the user with respect to the attribute value B) is -2.375.

In addition, as described above, the attributes “width” and “price” are included in both the basic conjoint analysis and the premium conjoint analysis. Therefore, by scaling the Utility based on at least one of these attributes, it is possible to make the Utility obtained as a result of the basic conjoint analysis and the Utility obtained as a result of the premium conjoint analysis relative to each other. .

More specifically, for example, when scaling on the basis of “width”, each utility value of the premium conjoint is divided by 1.5 and multiplied by 0.875 to obtain the basic content. It is possible to scale each Utility of the joint.

(3.4 Evaluation and output of property information)
Finally, a property evaluation and property information presentation method will be described with reference to FIG. FIG. 11 is a diagram illustrating a specific example of a list of property information to be displayed on the terminal B of the user who is the purchase applicant by the property presenting unit 147 based on the result evaluated by the property evaluation unit 160.

(3.4.1 Property evaluation)
First, a specific example of the property evaluation method will be described. In the example of FIG. 11, the first property (property name “XX court”) is “A” as the attribute value of the “area” attribute, “A” as the attribute value of the “cityscape” attribute, The distance attribute has an attribute value “A” and the building age attribute “new construction”.

At this time, in the result of the conjoint analysis shown in FIG. 10, the utility of the attribute value “A” of the “area” attribute is 2.375. Therefore, the property uses this value as the evaluation value for the area attribute. be able to.

However, actually, in the example of FIG. 11, 2.61 is given as the evaluation value for the area attribute. This is because, in the survey related to ordinary real estate, the user often overestimates the evaluation value of the price based on experience, so by increasing the Utility value other than the price attribute by 10% This is because of correction.

That is, the Utility (evaluation value) 2.61 for the attribute value “A” of the “Area” attribute related to the first property is multiplied by 1.1 to Utility 2.375 obtained as a result of the conjoint analysis. Obtained by rounding off. The user's evaluation value (Utility) for the “townscape”, “position”, and “daily” of the property can be similarly calculated.

It should be noted that such correction is not always necessary and may not be corrected. Even in the case of correction, the numerical value and the attribute to be corrected can be changed as appropriate.

Attributes such as building age, distance from the station, area, and price are parameters that can be expressed continuously in numerical values, so the values obtained as a result of conjoint analysis are the parameters (attribute values) set for the property. Is linearly scaled. Thereby, suitable property evaluation becomes possible.

It should be noted that, among the attribute values that should be set in the property information, some attribute values may not be obtained due to reasons such as not being registered by the applicant for sale. In such a case, a method of calculating the evaluation value of the property by setting the Utility value related to the attribute to 0 can be considered.

Also, as a result of the conjoint analysis, when the Utility values for the attribute values “A” and “B” are reversed (that is, the Utility value for the attribute value “A” is greater than the Utility value for “B”). If it is low), it is considered an error in the survey, so it is possible to eliminate such numbers.

Next, a method for calculating evaluation values related to attributes related to premium conjoint analysis such as “seller” and “view” will be described. The first property has, for example, an attribute value “B” for the “Seller” attribute related to premium conjoint analysis, an attribute value “C” for the “view” attribute, and the like. As described above, the attribute value “B” of the “Seller” attribute is −0.25 in the result of the conjoint analysis shown in FIG. 10 (the attribute value “Standard” of the attribute “Seller Brand”). Yes. On the other hand, in order to match the scale of the premium conjoint analysis and the scale of the basic conjoint analysis, after dividing by 1.5 and multiplying by 0.875, the evaluation scale for the attribute “price” is corrected. By multiplying by 1.1, the user's evaluation scale −0.16 for the attribute value “B” of the “seller” attribute can be obtained. Evaluation values can be similarly calculated for other attributes related to the premium conjoint analysis.

In this way, the user's evaluation value for the property information is calculated by individually calculating the evaluation value of the user who wants to purchase the parameter (attribute) set for each property information and then adding all the values. A value can be obtained. If the first property in FIG. 11 is “◯ × Coat”, an evaluation value of 3.41 can be obtained.

(3.4.2 Output of property information)
Next, a method for outputting property information will be described. When the property evaluation unit 160 evaluates all property information to be evaluated using the method described in “3.4.1”, the property presentation unit 147 displays a specific example as shown in FIG. A list in which the property information is arranged in descending order of the evaluation value based on the evaluation result is displayed on the terminal B of the user who is a purchase applicant.

In the example of FIG. 11, for each property information, the parameters (attribute values) set in each property information and evaluation values for the information are included in the list, along with information such as the location, property name, and price.

(4 Flow of processing related to services to applicants for sale)
Next, a processing flow of the information processing server 100 related to a service to the sales applicant side will be described with reference to FIG. FIG. 12 is a flowchart showing a flow of processing relating to property evaluation in the information processing server 100.

First, the information processing server 100 provides the terminal S with a user interface for registering property information in response to a request from the terminal S of the user who wants to sell the property related to the candidate property for sale from the terminal S. Information input is received (S1201). The property information received here includes an attribute value for each attribute such as an address and a building date. A specific example of the property information registration screen will be described later with reference to FIGS. 13 and 14.

The property evaluation unit 160 reads the preference information from the purchaser preference information DB 120 (S1203), and evaluates the property input in S1201 for each price range. Here, if screening conditions such as the delivery deadline (for example, “delivery of property within 3 months”) are set by the applicant for sale, the purchase applicant who does not meet the conditions (for example, moving time) Can be excluded from the target of reading).

As described in “3.4.1” above, if the preference information of the purchase applicant and the relative importance (Utility) for each attribute are determined, the evaluation value of the property information for the purchase applicant can be obtained. It becomes possible. Therefore, the property evaluation unit 160 calculates the evaluation value of the property information that is a sale candidate for each purchaser, using the preference information and the relative importance. At this time, the attribute value related to the price of the property information is performed for a plurality of price ranges having a predetermined price range, for example. For example, for example, if the price of the candidate property for sale is 47 million yen, if it is 48 million yen, ... The unit 160 calculates. That is, the property evaluation unit 160 calculates the evaluation value by the number of products of the number of purchase applicants for which preference information and the like are set and the number of prices for calculating the evaluation value. Note that the person who wants to sell can input the minimum price and the maximum price in the price range on, for example, the input screen shown in FIG.

Next, the property evaluation unit 160 calculates what number the evaluation value of the property information is in the list of property information that can be calculated for each purchase applicant (S1207). The property information other than the property information that is the candidate for sale that is the object of evaluation is stored in the property information DB 110, and the evaluation value of each purchaser for each property information is described in FIG. 3, for example. If the information previously calculated at the timing such as S313 is stored, it is not necessary to calculate again in S1207.

Further, the property evaluation unit 160 extracts property information similar to the property information of the sale candidate from the contract case DB 130 (S1209), and calculates the average price of those transaction prices (S1211). Here, the property similar to the property information of the sale candidate property extracted from the contract case DB 130 indicates a property whose property value approximates the property information of the sale candidate property. Therefore, specifically, each property such as a property within a certain range from the address set in the property information of the candidate for sale, a difference in distance from the station within a threshold, a difference in area (occupied area) within a threshold, etc. The property evaluation unit 160 extracts property information of the property that satisfies the condition. In S1211, the property information similar to the property information of the sale candidate is similarly extracted from the property information stored in the property information DB 110, and the average price of those transaction prices is also calculated.

If all necessary information is prepared, the evaluation information presenting unit 149 transmits the evaluation information to the terminal S of the applicant for sale as a display screen shown in a specific example in FIGS. 15 and 16 described later (S1213). This makes it possible for the prospective seller to trade information on the property information related to the candidate property to be sold in what price range, and how much the past and similar properties are traded at what price. It is possible to know information on what price range the similar property is currently being sold at.

(5 Specific examples of processing related to services to those who wish to sell)
Hereinafter, a specific example of the processing of the information processing server 100 related to the service to the sales applicant side will be described with reference to FIGS. 13 to 16.

(5.1 Property information input)
First, a specific example of the property information input method will be described with reference to FIGS. 13 and 14. FIGS. 13 and 14 are diagrams illustrating specific examples of display screens that the property registration unit 141 displays on the terminal S of the applicant for sale. In the example of FIG. 13 and FIG. 14, each attribute that can be set in the property information is divided into two and is input to the sales applicant.

First, in the screen of FIG. 13, the address, the building / room number, the distance from the station, the area (occupied area), the floor plan, the direction of the main balcony, the position of the room (if the property is a condominium, Information on the first floor, etc.), the land rights form (ownership rights, ground rights, lease rights, etc.), management costs, repair reserves, construction date, etc. can be entered by the applicant for sale. Further, on the screen of FIG. 14, information such as a delivery desired schedule and a sale desired price range (minimum desired price and upper limit desired price) can be input by the sales applicant. 13 and 14, there is no input location related to the use area. For this information, a method such as referring to a DB (not shown) that describes the correspondence between the address and the use area based on the address is used. Can be obtained.

Here, in the screen of FIG. 14, for example, regarding the delivery request schedule, those with an absolute expiration date such as “3 months” or “within half a year”, “within 3 months is good but not particular”, “no more than half a year is good, but it is good. There are two types that set a desired deadline such as “No”. Here, the items whose absolute deadline expires can be used for screening property information. More specifically, for example, when a delivery request schedule of “within 3 months” is set, after the purchaser information is read in S1203 of the flow described with reference to FIG. Purchasers who wish to move in can be excluded.

The desired sale price range is for setting the minimum price and the maximum price set in the property information in the property evaluation in S1205 of the flow described with reference to FIG. The property evaluation unit 160 calculates the evaluation value for the property information after setting the price attribute value of the property information of the sale candidate within the predetermined price range in the price range set here.

(5.2 Presentation of evaluation information)
Next, a specific example of a method for presenting evaluation information to a sales applicant will be described with reference to FIGS. 15 and 16. 15 and 16 are diagrams illustrating specific examples of display screens that the evaluation information presenting unit 149 displays on the terminal S of the applicant for sale.

In the example of FIG. 15, as an evaluation of the property information of the candidate property for sale entered by the applicant for sale, for each price range of 1 million yen ranging from 47 million yen to 54 million yen, how many purchase requests each In the evaluation value of the person, a bar graph indicating whether it falls within 10th place or 50th place among all the property information is presented. For example, if 47 million yen is set, it will be within the 10th place in the property list in the order of evaluation value (descending order) of 13 purchasers, and within 30th place in the property list of 30 purchasers. You can see from this screen. Similarly, if you set 48 million yen, you can also see from this screen that it is in the 10th place in the property list of 10 purchasers and is in the 30th place in the property list of 30 purchasers. .

15 When the user selects a part of the bar graph on the display screen of FIG. 15, a balloon 1600 is displayed as shown in FIG. In the balloon 1600, more detailed desired conditions set by the selected purchase applicant are presented as “favorite points”. In the example of FIG. 16, if it is 51 million yen, the buyer who wants the candidate property for sale within the 10th place is located within 10 minutes from the elementary school and is located on the 3rd floor or below, and a property with a disposer You can see what you want. If the property of the applicant for sale satisfies these conditions, there is a high possibility that it can be sold to the applicant for purchase. In such a case, the person who wants to sell may contact the real estate agent and then negotiate with the person who wants to purchase.

Furthermore, at the bottom of the display screens of FIG. 15 and FIG. 16, “houses with similar conditions are sold for an average of 49 million yen. Also, the average transaction price for the past year is 47 million yen. Is displayed. These pieces of information are the price calculated as the average value of the actual transaction price of the property information having the attribute value similar to the property information of the candidate property for sale in S1211 of the flow described with reference to FIG. It is generated based on the average sale price of property information having similar attribute values. By presenting such information, it is possible for the applicant for sale to obtain a comparison scale with other properties.

(6 hardware configuration)
Hereinafter, an example of a hardware configuration when the information processing server 100 described above is realized by a computer will be described with reference to FIG. Note that the function of the information processing server 100 can be realized by dividing it into a plurality of devices.

17, the information processing server 100 includes a processor 1701, a memory 1703, a storage device 1705, an input interface (I / F) 1707, a data I / F 1709, a communication I / F 1711, and a display device 1713.

The processor 1701 controls various processes in the information processing server 100 by executing a program stored in the memory 1703. For example, the GUI providing unit 140, the conjoint analysis unit 150, and the property evaluation unit 160 described in FIG. 1 can be realized as a program mainly operating on the processor 1701 after being temporarily stored in the memory 1703.

The memory 1703 is a storage medium such as a RAM (Random Access Memory). The memory 1703 temporarily stores a program code of a program executed by the processor 1701 and data necessary for executing the program. For example, a stack area necessary for program execution is secured in the storage area of the memory 1703.

The storage device 1705 is a non-volatile storage medium such as a hard disk or flash memory. The storage device 1705 stores various data such as an operating system, various programs for realizing the GUI providing unit 140, the conjoint analysis unit 150, and the property evaluation unit 160, and a database for realizing the property information DB 110. . The program and data stored in the storage device 1705, and loaded into the memory 1703 as necessary, are referenced from the processor 1701.

The input I / F 1707 is a device for receiving input from the user. Specific examples of the input I / F 1707 include a keyboard, a mouse, a touch panel, and various sensors. The input I / F 1707 may be connected to the information processing server 100 via an interface such as USB (Universal Serial Bus).

The data I / F 1709 is a device for inputting data from outside the information processing server 100. Specific examples of the data I / F 1709 include a drive device for reading data stored in various storage media. The data I / F 1709 may be provided outside the information processing server 100. In this case, the data I / F 1709 is connected to the information processing server 100 via an interface such as a USB.

The communication I / F 1711 is a device for data communication with an external device of the information processing server 100 by wire or wireless. For example, communication with the terminal S or the terminal B is performed via the network N whose communication I / F 1711 is the Internet or the like. It is conceivable that the communication I / F 1711 is provided outside the information processing server 100. In that case, the communication I / F 1711 is connected to the information processing server 100 via an interface such as a USB.

The display device 1713 is a device for displaying various information. Specific examples of the display device 1713 include a liquid crystal display and an organic EL (Electro-Luminescence) display. The display device 1713 may be provided outside the information processing server 100. In that case, the display device 1713 is connected to the information processing server 100 via, for example, a display cable.

(7 Effects of this embodiment)
As described above, the information processing server 100 according to the present embodiment analyzes each user's preference by conjoint analysis, and then matches each user's preference based on the analysis result. Suitable product information (property information) can be provided to the user. At this time, by presenting the property information to the user with an order, the user can see the properties that are preferable to him in order, so that the user can simply compare with the case of screening properties that do not meet the conditions. This makes it possible to reduce the time and effort required to compare properties.

Also, as shown in FIGS. 4 to 6, the user can set parameters in advance, and performs conjoint analysis and property evaluation according to the parameter settings, so that such parameter setting cannot be performed. In addition, it is possible to respond to the user's preference in detail.

Furthermore, in real estate transactions, new properties and second-hand properties are often managed separately, but if the method of this embodiment is used, the user compares them according to the same evaluation scale on the same system. This makes it easier to study.

On the other hand, if the candidate for sale is also entered for the sale candidate property considering sale, the property can be evaluated based on the preference / preference of each registered purchase applicant. That is, the sales applicant can obtain evaluation information in accordance with the needs of the purchase applicant (buyer). More specifically, the person who wants to sell can know what price setting is likely to be sold as objective data without using an appraisal by a real estate agent or the like.
Furthermore, as described with reference to FIG. 16, if a purchase applicant that matches the price range or “favorite conditions” is found, a transaction is made with the purchase applicant who seems to most like the property. It is possible to increase customer satisfaction in buying and selling.

(8 Appendix)
Note that the configurations of the above-described embodiments may be combined or some components may be replaced. The configuration of the present invention is not limited to the above-described embodiment, and various modifications may be made without departing from the scope of the present invention.

DESCRIPTION OF SYMBOLS 1 ... System, 41, 43 ... Drawing line, 51 ... Setting area, 53 ... Description area, 100 ... Information processing server, 110 ... Property information database, 120 ... Purchase User preference information database, 130 ... contract case database, 140 ... GUI providing unit, 141 ... property registration unit, 143 ... parameter setting unit, 145 ... conjoint investigation unit, 147 ... Property presentation unit, 149 ... evaluation information presentation unit, 150 ... conjoint analysis unit, 160 ... property evaluation unit, 1600 ... balloon, 1701 ... processor, 1703 ... memory, 1705 ..Storage device 1707 ... Input interface 1709 ... Data interface 1711 ... Communication interface 1713 ... Display device

Claims (21)

1. A registration unit that receives registration of multiple product information with attribute values set for multiple attributes,
   A first input unit for receiving user preference information for each of the plurality of attributes;
   A second input unit that receives a user input for ordering a plurality of virtual products in which at least some of the attribute values of the plurality of attributes are different from each other based on the preference information;
   Based on the order for the plurality of virtual products, a calculation unit for obtaining relative importance between the plurality of attributes in the user,
   An evaluation unit that evaluates each of the plurality of product information based on attribute values of the plurality of attributes of each product information and relative importance between the plurality of attributes;
   An information processing system comprising: an output unit that outputs the plurality of product information based on an evaluation result by the evaluation unit.
2. The preference information is information related to one or more threshold values for dividing attribute values related to the plurality of attributes into a plurality of ranges.
   The information processing system according to claim 1.
3. The first input unit receives, as part of the preference information, information related to an attribute value that is not subject to evaluation for the plurality of attributes,
   The output unit outputs only product information in which all of the plurality of attributes are within an evaluation target among the plurality of product information.
   The information processing system according to claim 1 or 2.
4. The second input unit attaches an order of the plurality of virtual products as a whole by receiving a user input for determining the order of some virtual products among the plurality of virtual products a plurality of times.
   The information processing system according to any one of claims 1 to 3.
5. The second input unit receives user input for dividing the plurality of virtual commodity groups into a first attribute group and a second attribute group, which are a part of the plurality of attributes. ,
   The first attribute group and the second attribute group include one or more common attributes,
   The information processing system according to any one of claims 1 to 4.
6. The output unit outputs the plurality of product information in descending order of evaluation by the evaluation unit.
   The information processing system according to any one of claims 1 to 5.
7. The product information is a real estate product.
   The information processing system according to any one of claims 1 to 6.
8. The attributes include at least a part of an area, cityscape, distance from the station, age, size, position in the building, sunlight, and price.
   The information processing system according to claim 7.
9. Receiving registration of a plurality of product information each having an attribute value set to a plurality of attributes;
   Receiving user preference information for each of the plurality of attributes;
   Receiving a user input for ordering a plurality of virtual products in which at least some of the attribute values of the plurality of attributes are different from each other based on the preference information;
   Obtaining a relative importance between the plurality of attributes in the user based on an order for the virtual product;
   Evaluating each of the plurality of product information based on attribute values of the plurality of attributes included in each product information and relative importance between the plurality of attributes;
   An information processing method in which an information processing device performs the step of outputting the plurality of product information based on the result of the evaluation.
10. Processing to receive registration of multiple product information with attribute values set to multiple attributes,
    Processing for receiving user preference information for each of the plurality of attributes;
    Based on the preference information, a process of receiving user input for ordering a plurality of virtual products in which at least some of the attribute values of the plurality of attributes are different from each other;
    Based on the order for the virtual product, a process for obtaining a relative importance between the plurality of attributes in the user;
    A process for evaluating each of the plurality of product information based on attribute values of the plurality of attributes included in each product information and relative importance between the plurality of attributes;
    A program for causing a computer to execute a process of outputting the plurality of product information based on the result of the evaluation.
11. A first input unit that receives input of product information in which attribute values are respectively set for a plurality of attributes;
    A second input unit that receives input of preference information relating to a plurality of buyers for each of the plurality of attributes;
    An evaluation unit that evaluates the product information based on the preference information;
    An information processing system comprising: an output unit that outputs an evaluation result based on the preference information for the product information.
12. The evaluation unit evaluates the product information using a plurality of amount settings,
    The output unit outputs an evaluation result for each amount setting,
    The information processing system according to claim 11.
13. The output unit outputs, as an evaluation result, statistical information related to the rank of the input product information in the product information that can be evaluated by the evaluation unit.
    The information processing system according to claim 11 or 12.
14. The output unit outputs information when each buyer purchases a product, together with the evaluation result,
    The information processing system according to any one of claims 11 to 13.
15. A storage means for storing purchase history information including a plurality of other product information and a transaction amount related to each other product information;
    The output unit outputs information related to the transaction amount of the other product information that each attribute value approximates to the input product information, together with the evaluation result,
    The information processing system according to any one of claims 11 to 14.
16. The evaluation unit evaluates the product information based on attribute values of the plurality of attributes set in the product information and relative importance between the plurality of attributes in each buyer.
    The information processing system according to claim 11.
17. The relative importance between the plurality of attributes is determined by each buyer assigning an order to a plurality of virtual products having different attribute values of at least some of the plurality of attributes.
    The information processing system according to claim 16.
18. The product information is a real estate product.
    The information processing system according to any one of claims 1 to 7.
19. The attributes include at least a part of an area, cityscape, distance from the station, age, size, position in the building, sunlight, and price.
    The information processing system according to claim 18.
20. Receiving product information in which attribute values are set for a plurality of attributes,
    Receiving preference information relating to a plurality of buyers for each of the plurality of attributes;
    Evaluating the product information based on the preference information;
    An information processing method in which the information processing apparatus performs a step of outputting an evaluation result based on the preference information with respect to the product information.
21. Processing to receive product information with attribute values set for multiple attributes,
    Processing for receiving preference information relating to a plurality of buyers for each of the plurality of attributes;
    A process for evaluating the product information based on the preference information;
    The program for making a computer perform the process which outputs the evaluation result based on the said preference information with respect to the said merchandise information.

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