JP2023159646A - Information provision device, information provision method, and information provision program - Google Patents

Abstract

To improve user convenience when searching for properties.SOLUTION: An information provision device disclosed herein comprises a determination unit and a provision unit. The determination unit determines a starting point corresponding to a user based on user information. The provision unit provides the user with property information on properties in the surroundings of the starting point determined by the determination unit. The determination unit is configured to determine the starting point on the basis of a score of each of multiple starting point candidates obtained from a learning model configured to compute the score of each of the multiple starting point candidates from the user information.SELECTED DRAWING: Figure 1

Description

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

Conventionally, there is a known technique for specifying a specific point such as a current location, place of work, school, or nearest station as a starting point and searching for properties that can be reached within a predetermined time input as a search condition. Furthermore, there is also known a technique of setting conditions for POIs (Points of Interest) that exist around a property and searching for a property that has a desired POI around it (for example, see Patent Document 1).

Japanese Patent Application Publication No. 2006-343939

However, in the conventional technology, the user is required to specify a specific point, POI, etc., and there is room for improvement in terms of user convenience.

This application has been made in view of the above, and aims to provide an information providing device, an information providing method, and an information providing program that can improve the convenience of users when searching for properties. .

The information providing device according to the present application includes a determining section and a providing section. The determining unit determines the starting point corresponding to the user based on the user's information. The providing unit provides the user with property information that is information about properties around the starting point determined by the determining unit.

According to one aspect of the embodiment, it is possible to improve convenience for users when searching for properties.

FIG. 1 is a diagram for explaining an information providing method performed by an information providing apparatus according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of the information providing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the information providing device according to the embodiment. FIG. 4 is a diagram illustrating an example of a user information table stored in the user information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of a property information table stored in the property information storage unit of the information providing device according to the embodiment. FIG. 6 is a diagram illustrating an example of property information provided by the providing unit of the information providing device according to the embodiment. FIG. 7 is a diagram illustrating another example of property information provided by the providing unit of the information providing device according to the embodiment. FIG. 8 is a flowchart illustrating an example of information provision by the processing unit of the information provision apparatus according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the information providing device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, an information providing apparatus, an information providing method, and a form for implementing an information providing program (hereinafter referred to as an "embodiment") according to the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the information providing apparatus, information providing method, and information providing program according to the present application. Moreover, each embodiment can be combined as appropriate within the range that does not conflict with the processing contents. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. Example of information provision processing]
First, with reference to FIG. 1, an information providing method performed by an information providing apparatus according to an embodiment will be described. FIG. 1 is a diagram for explaining an information providing method performed by an information providing apparatus according to an embodiment.

The information providing device 1 shown in FIG. 1 provides an information providing service. In the information providing service, the information providing device 1 provides property information including information on properties such as real estate properties to the user U in response to a property information transmission request from the user U. The property information transmission request includes, for example, information on the search target area, which is the area desired by the user U, and the information providing device 1 provides information to the user U from the search target area. Decide on a property. Although an example in which the property is a real estate property will be described below, the present invention is not limited to such an example.

For example, the user U operates the terminal device 2 to transmit a property information transmission request from the terminal device 2 to the information providing device 1 (step S1). The information providing device 1 performs a reception process of accepting a property information transmission request transmitted from the terminal device 2 (step S2).

The information providing device 1 includes a user information storage unit that stores user information that is information about the user U, and issues a property information transmission request based on the user information stored in the user information storage unit. A determination process is performed to determine the starting point corresponding to the user U from within the search target area specified in (step S3). The starting point corresponding to user U is a reference point for determining a property whose information is to be included in the property information provided to user U.

The user information includes, for example, user U's attribute information, user U's behavior history information, and the like. The attribute information of the user U is information indicating the attributes of the user U. The attributes of the user U include demographic attributes, psychographic attributes, etc. of the user U. The demographic attribute is a demographic attribute of the user U. The psychographic attributes are attributes that indicate the values, lifestyle, personality, interests, etc. of the user U. The action history information of the user U includes, for example, the payment history information of the user U, the web search history information of the user U, the web browsing history information of the user U, and the movement history information of the user U, etc. Any information related to the action history of the user U may be used, and the information is not limited to this example.

The information providing device 1 calculates a starting point candidate score for each of a plurality of starting point candidates included in the search target area based on the user information, and determines the starting point based on the calculated starting point candidate score. The information providing device 1 has, for example, a starting point determination model that receives user information as an input and outputs a starting point candidate score for each of a plurality of starting point candidates. A starting point is determined based on each starting point candidate score.

The origin determination model is, for example, a learning model (learned model) generated by machine learning. Machine learning includes, for example, deep learning using deep neural networks (DNN), but is not limited to deep learning, and can also be used to determine the starting point using data mining or other machine learning algorithms. A model may be generated.

The starting point candidate score indicates the degree of importance for the user U, and the higher the importance for the user U, the higher the starting point candidate score. For example, if user U frequently purchases pet supplies, or if user U has made payments at veterinary hospitals many times, the starting point candidate score for "veterinary clinics" that exist within the search target area will be high. . Further, if the user U frequently goes to a supermarket or frequently views flyer information of the supermarket, the starting point candidate score of "supermarket" existing in the search target area becomes high. Further, if the user U has a high interest in cars, the starting point candidate score of "car wash", "car supplies specialty store", etc. existing in the search target area will be high.

The information providing device 1 determines, for example, the starting point candidate with the highest starting point candidate score among the plurality of starting point candidates as the starting point corresponding to the user U. If the starting point candidate score of "animal hospital" existing within the search target area is the highest, the information providing device 1 determines "animal hospital" existing within the search target area as the starting point corresponding to user U.

Furthermore, when the starting point candidate score of "Supermarket" existing within the search target area is the highest, the information providing device 1 determines "Supermarket" existing within the search target area as the starting point corresponding to user U. Further, if the starting point candidate score of "car wash" existing in the search target area is the highest, the information providing device 1 determines "car wash" existing in the search target area as the starting point corresponding to user U. .

Furthermore, the information providing device 1 extracts two or more starting point candidates from among the plurality of starting point candidates in descending order of starting point candidate score, and selects a starting point corresponding to the user U based on the extracted two or more starting point candidates. It is also possible to judge. For example, the information providing device 1 determines, as a starting point, a position that satisfies predetermined conditions for two or more starting point candidates.

In the case of two starting point candidates, the predetermined condition is, for example, the position of the midpoint of a line connecting the two starting point candidates, and in the case of three or more starting point candidates, for example, the predetermined condition is the position of the midpoint of a line connecting the two starting point candidates, for example, This is the position where the sum of the distances to is the smallest, but is not limited to this example.

Instead of extracting two or more origin candidates from among the plurality of origin candidates in descending order of their origin candidate scores, the information providing device 1 extracts two or more origin candidates whose origin candidate scores are equal to or higher than a threshold value. You can also do it. Further, the information providing device 1 can also extract two or more starting point candidates by extracting the starting point candidate with the highest starting point candidate score for each type of starting point candidate. In this case, the information providing device 1 does not extract a type of origin candidate for which there is no origin candidate whose origin candidate score is equal to or greater than the threshold value.

Next, the information providing device 1 performs a providing process to provide the user U with property information that is information about properties around the starting point determined in step S3 (step S4). In the example shown in FIG. 1, an AAA supermarket is determined as the starting point, and property information including information about properties within a 10-minute walk from the AAA supermarket is provided to the user U.

As a result, the information providing device 1 can provide the user U with information regarding properties around the starting point according to the user U without requesting the user U to select a starting point, so that the information providing device 1 can be used when searching for a property. User U's convenience can be improved.

The information providing device 1 extracts one or more properties from among the plurality of properties based on, for example, at least one of the type of starting point, the distance from the starting point, and the means of transportation to the starting point, and extracts one or more properties from among the plurality of properties. Information including the above information regarding the property is provided to the user U as property information.

The information providing device 1 also provides a plurality of It is also possible to extract one or more properties from among the properties and provide the user U with information including information regarding the extracted one or more properties as property information.

Further, when the property information transmission request includes property search conditions, the information providing device 1 provides the user U with information including information on properties further narrowed down based on the search conditions as property information. Search conditions include, for example, property rent, floor plan, facilities, distance from a station, etc., but are not limited to such examples.

In addition to information on properties around the starting point, the information providing device 1 can also provide the user U with map information that includes information indicating the starting point in a display mode according to the type of the starting point, as property information. Thereby, the location and type of the starting point that the user U estimates to be important can be easily grasped, and the convenience of the property search by the user U can be improved.

In addition to information on properties around the starting point, the information providing device 1 can also provide the user U with map information that includes information showing two or more starting point candidates in mutually different display modes as property information. Thereby, the positions of two or more starting point candidates that are estimated to be important to the user U can be easily grasped, and the convenience of the property search by the user U can be improved.

Further, the information providing device 1 provides property information around the starting point to the user U when the size of the search target area included in the property information transmission request is less than or equal to a size that satisfies predetermined conditions. be able to. The size that satisfies the predetermined condition is, for example, a predetermined size, but may be changed based on the type of the extracted starting point candidate.

Further, the information providing device 1 handles cases where the property information transmission request does not include information on the search target area or the size of the search target area included in the property information transmission request is not smaller than or equal to a size that satisfies predetermined conditions. , it is also possible to determine the starting point in each of a plurality of areas and provide the user U with property information in these plurality of areas. The starting points in each of the plurality of areas are of the same type, but may be of different types. Starting points of the same type are, for example, when there is one starting point candidate corresponding to a starting point, the types of starting point candidates are the same starting point, and when there are two or more starting point candidates corresponding to a starting point, two or more starting points The combination of candidate types is the same starting point.

As described above, the information providing device 1 can provide the user U with information about properties around the starting point according to the user U based on the user U's information, so the information providing device 1 can can improve the convenience of

Hereinafter, the configuration of the information providing system including the information providing device 1 and the terminal device 2 that perform such processing will be described in detail.

[2. Information provision system configuration]
FIG. 2 is a diagram illustrating an example of the configuration of the information providing system according to the embodiment. As shown in FIG. 2, the information providing system 100 according to the embodiment includes an information providing device 1 and terminal devices 2 ₁ , 2 ₂ , . . . , 2 _n . Each of the terminal devices 2 ₁ , 2 ₂ , . . . , 2 _n is used by a corresponding _one of the users U ₁ , U ₂ , .

The information providing device 1 and _the terminal devices 2 ₁ , 2 ₂ , . Note that the information providing system 100 shown in FIG. 2 may include a plurality of each of the information providing device 1 and the terminal devices 2 ₁ , 2 ₂ , . . . , 2 _n . In the following _, when _each of the terminal devices 2 ₁ , 2 ₂ , _. , U _n without distinguishing them individually, they may be written as user U.

The terminal device 2 according to the embodiment is an information processing device used by a user U who accesses web content and the like. For example, the terminal device 2 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. Note that the terminal device 2 is not limited to the above example, and may be, for example, a smart watch or a wearable device.

The information providing device 1 according to the embodiment is an information processing device that can communicate with various devices via a predetermined network N such as the Internet, and is realized by, for example, one or more servers or a cloud system. For example, the information providing device 1 is communicably connected to various other devices via the network N.

The information providing device 1 provides various information. For example, the information providing device 1 may be a real estate search site, an Internet shopping site, an electronic commerce (EC) site, a flea market site, an auction site, a travel or restaurant reservation site, a credit card contract site, or a financial product provision site. Providing information regarding transaction targets on sites, etc.

[3. Configuration of information providing device 1]
FIG. 3 is a diagram showing an example of the configuration of the information providing device 1 according to the embodiment. As shown in FIG. 3, the information providing device 1 includes a communication section 10, a storage section 11, and a processing section 12.

[3.1. Communication department 10]
The communication unit 10 is realized by, for example, a NIC (Network Interface Card). The communication unit 10 is connected to the network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 10 transmits and receives information to and from the terminal device 2 via the network N.

[3.2. Storage unit 11]
The storage unit 11 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. Furthermore, the storage unit 11 includes a user information storage unit 20 and a property information storage unit 21.

[3.2.1. User information storage unit 20]
The user information storage unit 20 stores various types of user information regarding the user U. FIG. 4 is a diagram showing an example of a user information table stored in the user information storage unit 20 according to the embodiment. In the example shown in FIG. 4, the user information table stored in the user information storage unit 20 includes information on items such as "user ID", "user name", "attribute information", and "behavior history information". including.

“User ID” is an identifier that identifies user U. “User name” is information indicating the name of the user. "Attribute information" is attribute information regarding the attributes of the user U associated with the "user ID." For example, the attribute information includes user U's gender, age, etc. The above-mentioned attribute information is just one example, and includes various information other than age, gender, etc., such as information indicating demographic attributes such as occupation, and information indicating psychographic attributes such as interests, lifestyle, etc. is included.

"Action history information" is action history information related to user U's actions, and includes, for example, user U's payment history information, user U's web search history information, user U's web browsing history information, and user U's Contains U's movement history information, etc.

The user U's payment history information is, for example, information about the user U's payment history using a payment service. Examples of the payment service include, but are not limited to, a payment service using a credit card, a payment service using deferred payment electronic money, a bill payment service, a payment service using a deferred payment application, and a carrier payment service.

User U's payment history information includes purchase history information regarding products that User U purchased online, at a physical store, or at a physical facility using a payment service; This includes service usage history information regarding services used for a fee at stores or actual facilities.

The purchase history information includes information on products purchased by user U, purchase cost information, purchase date and time, purchase store information, and the like. The service usage history information includes information on services used by user U, information on usage fees, date and time of usage, information on stores used, and the like.

The web search history information of the user U is, for example, information on the search history of web content on search sites, information on the search history on various websites, and the like. User U's web search history information is information on web content search history on search sites and portal sites, and includes user U's property search history information.

User U's web browsing history information is information on user U's browsing history of web content, such as user U's browsing history of property information, browsing information on leaflets of stores such as convenience stores and supermarkets, etc. Contains various information.

The movement history information of the user U is information on the movement history of the user U, and includes, for example, information on the position of the user U for each unit time. Note that the movement history information of the user U may be information on visited stores, facilities, and the like.

[3.2.2. Property information storage unit 21]
The property information storage unit 21 stores a property information table including a plurality of pieces of advertisement information submitted by a plurality of businesses. The advertisement information is, for example, property information posted by a business that mediates real estate properties.

FIG. 5 is a diagram showing an example of a property information table stored in the property information storage unit 21 of the information providing device 1 according to the embodiment. As shown in FIG. 5, the property information table stored in the property information storage unit 21 includes information on items such as "property ID", "property name", "property location", and "property content" for each property. .

“Property ID” is information unique to each property. “Property name” is information indicating the name of the property. "Property position" is information indicating the position of the property, for example, information indicating the latitude and longitude of the property.

"Property content" is information indicating the content of the property, and includes "property overview" and "property details." “Property overview” is information indicating an overview of a property, and is information indicated by standard items. For example, if the property is a rental property, the property name, rent, time to the nearest station, security deposit, security deposit, key money, floor plan, exclusive area, age, building size, and the property in the building are included. It includes information such as the floor on which it is located and its location.

“Property details” is information indicating details of the property. “Property details” includes standard items and notes. Typical items include information such as details of facilities (baths, toilets, kitchens, storage, balconies, security, elevators, air conditioners, flooring, internet availability, etc.), floor plans, building structures, and parking lots. included. The notes include, for example, matters that the business operator would like to inform the user U, other than standard items.

In the property information table shown in FIG. 5, the property with the property ID "O1" has the property name "Property E1" and the property location "Position P1." The property with the property ID "O2" has the property name "Property E2" and the property location "Position P2." The property with the property ID "O3" has the property name "Property E3" and the property location "Position P3."

[3.3. Processing unit 12]
The processing unit 12 is a controller, and is stored in a storage device (for example, the storage unit 11) inside the information providing device 1 by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is realized by executing various programs (an example of an information providing program) using the RAM as a work area. Furthermore, the processing unit 12 may be partially or entirely realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the processing unit 12 includes an acquisition unit 30, a reception unit 31, a determination unit 32, and a provision unit 33, and realizes or executes information provision functions and operations described below. . Note that the internal configuration of the processing unit 12 is not limited to the configuration shown in FIG. 3, and may be any other configuration as long as it provides information as described later.

[3.3.1. Acquisition unit 30]
The acquisition unit 30 acquires various information. The acquisition unit 30 acquires various information from the storage unit 11. For example, the acquisition unit 30 acquires various information from the user information storage unit 20, the property information storage unit 21, and the like. Further, the acquisition unit 30 can also receive various information from an external information processing device via the communication unit 10.

[3.3.2. Reception Department 31]
The reception unit 31 receives various requests. The reception unit 31 receives information indicating various requests from the terminal device 2 and an external information processing device, for example, via the communication unit 10.

For example, the reception unit 31 receives a property information transmission request from the terminal device 2 . The property information transmission request includes, for example, information on the search target area, which is the area desired by the user U. Further, if the property information transmission request does not include information on the search target area, the reception unit 31 provides the user U with information corresponding to the property information transmission request, and then allows the user U to select the search target area. I can accept it.

[3.3.3. Judgment unit 32]
The determining unit 32 determines a search starting point, which is the starting point corresponding to the user U, based on the information of the user U of the terminal device 2 that transmitted the property information transmission request. For example, the determination unit 32 determines the search starting point using at least one of the user U's attribute information and the user U's action history information as the user U's information.

For example, the determination unit 32 calculates the starting point candidate score of each of the plurality of starting point candidates included in the search target area indicated in the property information transmission request based on the user information of the user U, and calculates the calculated starting point candidate score. Based on this, the search starting point is determined. The starting point candidate score indicates the degree of importance for the user U, and the higher the importance for the user U, the higher the starting point candidate score.

The determination unit 32 can obtain a starting point candidate score for each of the starting point candidates, for example, using an importance estimation model that receives the user information of the user U and outputs the starting point candidate score for each of the starting point candidates.

The importance estimation model is, for example, a learning model (learned model) generated by machine learning. Machine learning is, for example, deep learning using a deep neural network, but is not limited to deep learning, and the importance estimation model may be generated using data mining or other machine learning algorithms.

Possible starting points include, for example, stores and facilities, such as merchandise stores including retail stores, hospitals, restaurants, dry cleaners, car washes, gas stations, osteopathic clinics, photo studios, barber salons, beauty salons, and childcare centers. These include, but are not limited to, places such as places, schools, cram schools, sports clubs, bathing facilities, massage parlors, shrines, and temples. Each starting point candidate indicates a specific type of store or facility, rather than a store or facility located at a specific location.

The determining unit 32 calculates a starting point candidate score for each of the plurality of starting point candidates by calculating a starting point candidate score for each type of starting point candidate. In this case, multiple starting point candidates of the same type have the same starting point candidate score. For example, when the starting point candidate is a convenience store, the type of the starting point candidate is a convenience store, but it may be a convenience store for each operator. In the case of a franchise, the operator is the franchisor, but may also be the franchisee. Note that, as described later, the determination unit 32 can also calculate the starting point candidate score for each starting point candidate.

The determining unit 32 determines, for example, the starting point candidate with the highest starting point candidate score among the plurality of starting point candidates as the search starting point. For example, if the starting point candidate score of "animal hospital" existing within the search target area is the highest, the determination unit 32 determines "animal hospital" existing within the search target area as the starting point corresponding to user U. If a plurality of "animal hospitals" exist within the search target area, the determination unit 32 sets the "animal hospital" closest to the starting point candidate with the second highest starting point candidate score among the multiple starting point candidates as the search starting point. be able to.

Further, for example, when the starting point candidate score of the type "supermarket" is the highest, the determining unit 32 determines the starting point candidate of the type "supermarket" existing in the search target area as the starting point corresponding to the user U. If there are multiple starting point candidates of the type "supermarket" in the search target area, the determining unit 32 selects the "supermarket" closest to the starting point candidate with the second highest starting point candidate score among the multiple starting point candidates as the search starting point. It can be done. In addition, if there are multiple supermarkets operated by different operators in the search target area and the user U has used any of the supermarkets, the determination unit 32 determines which supermarket is used most frequently based on the user information. can be used as a search starting point.

The determining unit 32 can also extract two or more starting point candidates from among the plurality of starting point candidates in descending order of starting point candidate score, and determine the search starting point based on the extracted two or more starting point candidates. For example, the determination unit 32 determines, as the search starting point, a position that satisfies predetermined conditions for two or more starting point candidates.

In the case of two starting point candidates, the predetermined condition is, for example, the position of the midpoint of a line connecting the two starting point candidates, and in the case of three or more starting point candidates, for example, the predetermined condition is the position of the midpoint of a line connecting the two starting point candidates, for example, This is the position where the sum of the distances to is the smallest, but is not limited to this example.

For example, in the case of two starting point candidates, among the positions on the line connecting the two starting point candidates, a position calculated using a weight according to the type of starting point candidate can be set as a position that satisfies a predetermined condition. . As a result, a position closer to the starting point candidate of the type with a larger weight than the starting point candidate of the type with a smaller weight is determined as the starting point. In addition, in the case of three or more starting point candidates, for example, the sum of the values weighted according to the means of transportation to the starting point candidate and the type of the starting point candidate for the distance to the three or more starting point candidates is the smallest. It may also be a position.

Instead of extracting two or more origin candidates from among the plurality of origin candidates in descending order of their origin candidate scores, the determination unit 32 may also extract two or more origin candidates whose origin candidate scores are equal to or higher than a threshold. can.

Further, the determination unit 32 can also calculate the starting point candidate score for each store or facility. In this case, the importance estimation model can calculate different starting point candidate scores depending on the characteristics of each store or facility, the operator, etc. even for starting point candidates of the same type. The characteristics of each store or facility include, for example, when the type is a supermarket, the size of the supermarket, the size of the parking lot, the sales format, the product lineup, etc., but are not limited to such examples.

In this case as well, the determining unit 32 determines the starting point candidate with the highest starting point candidate score among the plurality of starting point candidates as the search starting point, or based on two or more starting point candidates extracted from the plurality of starting point candidates. The starting point corresponding to user U can be determined.

Further, the determination unit 32 can also extract two or more starting point candidates by extracting the starting point candidate with the highest starting point candidate score for each type of starting point candidate. In this case, the determination unit 32 may not extract, for example, a type of origin candidate for which there is no origin candidate whose origin candidate score is equal to or greater than the threshold value.

Further, if the property information transmission request does not include information on the search target area or if the property information transmission request does not include the search target area in a predetermined size, the determination unit 32 determines the starting point in each of the plurality of areas. can be determined.

The starting points in each of the plurality of areas are of the same type, but may be of different types. Starting points of the same type are, for example, when there is one starting point candidate corresponding to a starting point, the types of starting point candidates are the same starting point, and when there are two or more starting point candidates corresponding to a starting point, two or more starting points The combination of candidate types is the same starting point.

[3.3.4. Providing Department 33]
The providing unit 33 provides the user U with property information that is information about properties in the vicinity of the search starting point determined by the determining unit 32. The providing unit 33 provides the property information to the user U by transmitting the property information to the terminal device 2 that has transmitted the property information transmission request via the communication unit 10 and the network N, for example. For example, when the search target area indicated in the property information transmission request has a predetermined size, the providing unit 33 provides the user U with property information that is information about properties around the search starting point in the search target area. do.

The providing unit 33 extracts and extracts one or more properties from among the plurality of properties, for example, based on at least one of the type of search origin, the distance from the search origin, and the means of transportation to the search origin. The user U is provided with information including information regarding one or more properties that have been purchased as property information.

For example, the providing unit 33 sets the distance obtained by weighting the distance from the search origin according to the means of transportation to the search origin, the type of the search origin, etc. as the maximum distance, and displays properties within the range from the search origin to the maximum distance. Properties in the vicinity of the search starting point can be used.

For example, the providing unit 33 multiplies the distance D from the search starting point by a coefficient k1 depending on the type of the search starting point and a coefficient k2 depending on the means of transportation to the search starting point, and the maximum distance R (=D×k1× k2) can be calculated, and properties within a range up to the maximum distance R from the search starting point can be set as properties in the vicinity of the search starting point.

For example, the coefficient k1 depending on the type of search starting point takes a larger value when the search starting point is a large shopping center than when the search starting point is a supermarket. Further, the coefficient k2 depending on the means of transportation to the search starting point has a larger value when the search starting point is a supermarket, for example, than when the search starting point is a cram school or school. Note that the providing unit 33 can also adjust the coefficients k1 and k2 depending on whether the search target area is a residential area or an urban area, for example.

When the user U specifies a search condition, the providing unit 33 provides the user U with property information including information on properties that match the specified search condition among the properties within the range from the search starting point to the maximum distance R. can be provided. Search conditions include, for example, property rent, floor plan, facilities, distance from a station, etc., but are not limited to such examples.

Further, when the determination unit 32 determines the search starting point based on two or more starting point candidates, the providing unit 33 can also extract properties to be included in the property information based on information on the two or more starting point candidates. . For example, the providing unit 33 provides a plurality of properties based on at least one of the types of the two or more starting point candidates, the distance from the two or more starting point candidates, and the means of transportation to the two or more starting point candidates. It is also possible to extract one or more properties from among them and provide the user U with information including information regarding the extracted one or more properties as property information.

For example, the providing unit 33 calculates, for each starting point candidate, a distance obtained by weighting the distance from the starting point candidate according to the means of transportation to the starting point candidate, the type of the starting point candidate, and the like as the maximum distance. Then, the providing unit 33 can select properties in the vicinity of the search starting point as properties whose range from the starting point candidate to the maximum distance overlaps between the starting point candidates.

For example, the providing unit 33 multiplies the distance D1 from the starting point candidate by a coefficient k3 depending on the type of the starting point candidate and a coefficient k4 depending on the means of transportation to the starting point candidate, and the result R1 (=D1×k3×k4) is maximized. It can be the distance.

Further, the providing unit 33 provides map information including starting point related information and property related information to the user U as property information. The starting point related information includes information on the search starting point. The search starting point information is information shown by an icon or the like at the position of the search starting point on the map, and is shown in a different display mode depending on the type of search starting point (for example, an icon depending on the type of search starting point). Furthermore, when the search starting point is determined based on two or more starting point candidates, the starting point related information includes information on two or more starting point candidates.

The information on the starting point candidate is information shown by an icon or the like at the position of the starting point candidate on the map, and is shown in a different display mode for each type of starting point candidate (for example, an icon according to the type of the starting point candidate). In the starting point related information, the search starting point and starting point candidates are displayed in different display modes. The different display modes include, for example, the shape and color of the icon, but are not limited to such examples. Furthermore, in the starting point related information, two or more starting point candidates are shown in mutually different display modes, but may be displayed in the same display mode.

Furthermore, when the determination unit 32 determines the search starting point in each of the plurality of areas, the providing unit 33 provides the user U with property information in the plurality of areas. For example, if the search starting point determined by the determining unit 32 is a public bath with a sauna, the providing unit 33 extracts, for example, a plurality of areas where public baths with a sauna are located, and the area around the public bath with a sauna in each area. Property information including property information is provided to user U.

Instead of or in addition to providing the property information to the user U in response to the property information transmission request, the providing unit 33 can also provide the property information to the user U by e-mail, for example.

FIG. 6 is a diagram showing an example of property information provided by the providing unit 33 of the information providing device 1 according to the embodiment. The property information 50 shown in FIG. 6 includes a search target area selection frame 51, a rent selection frame 52, a floor plan selection frame 53, a property group display area 54, and a map information display area 55.

The search target area selection frame 51 is a selection frame for the user U to select a desired search target area. The rent selection frame 52 is a selection frame for the user U to select a desired rent range. The floor plan selection frame 53 is a selection frame for the user U to select a desired floor plan.

The property group display area 54 includes a plurality of pieces of search property information 541, 542, 543, and the like. Each of the search property information 541, 542, and 543 includes information regarding properties extracted based on the search starting point determined by the determination unit 32.

The map information display area 55 includes map information in which a search starting point icon 551 and a plurality of property icons 552 are arranged. The search starting point icon 551 is an icon indicating the position on the map of the search starting point determined by the determining unit 32. The property icon 552 is an icon indicating the position on the map of each property extracted based on the search starting point determined by the determination unit 32. The search starting point icon 551 and the property icon 552 are icons with different display modes.

In this way, the property information 50 shown in FIG. 6 shows information on a plurality of properties located within a 10-minute walk from the AAA supermarket, which is the search starting point, so that the trouble of searching for and selecting AAA supermarket as the starting point can be saved. This makes it possible to improve the convenience for the user U when searching for properties. In addition, since the property information 50 shown in FIG. 6 includes a search starting point icon 551, it is possible to easily grasp the locations of stores and facilities that are estimated to be important to the user U.

FIG. 7 is a diagram showing another example of property information provided by the providing unit 33 of the information providing device 1 according to the embodiment. Similar to the property information 50 shown in FIG. 6, the property information 50 shown in FIG. 7 includes a search target area selection frame 51, a rent selection frame 52, a floor plan selection frame 53, a property group display area 54, and a map information display. region 55.

The property information 50 shown in FIG. 7 differs from the property information 50 shown in FIG. 6 in that starting point candidate icons 553 and 554 are arranged in the map information display area 55. The starting point candidate icons 553 and 554 are icons indicating the position on the map of the search starting point used by the determination unit 32 to determine the search starting point.

In this way, since the property information 50 shown in FIG. 7 includes the starting point candidate icons 553 and 554, it is possible to easily grasp the locations of stores and facilities that are estimated to be important to the user U. . Note that in the property information 50 shown in FIG. 7, the search starting point is "Minato-ku XXX2-1", and information on properties that are 10 minutes walk from the search starting point "Minato-ku XXX2-1" is shown. "XXX" indicates the name of the area.

[4. Processing procedure]
Next, a procedure for providing information by the processing unit 12 of the information providing device 1 according to the embodiment will be described. FIG. 8 is a flowchart illustrating an example of information provision by the processing unit 12 of the information provision apparatus 1 according to the embodiment.

As shown in FIG. 8, the processing unit 12 determines whether or not a property information transmission request transmitted from the terminal device 2 has been obtained (step S10). When the processing unit 12 determines that a property information transmission request has been obtained (step S10: Yes), the processing unit 12 calculates a starting point candidate score for each starting point candidate (step S11).

Next, the processing unit 12 determines a search starting point based on the starting point candidate score of each starting point candidate calculated in step S11 (step S12). Then, the processing unit 12 extracts properties based on the search starting point information or starting point candidate information determined in step S12 (step S13).

Next, the processing unit 12 generates property information including information on the property extracted in step S13 (step S14). Then, the processing unit 12 transmits the property information generated in step S14 to the terminal device 2 (step S15).

Next, when the processing in step S15 is completed, or when it is determined that the property information transmission request has not been obtained (step S10: No), the processing unit 12 determines whether or not it is the timing to end the operation ( Step S16). The processing unit 12 determines that the operation end timing has come, for example, when the power of the information providing device 1 is turned off.

If the processing unit 12 determines that the operation end timing has not arrived (step S16: No), the process proceeds to step S10, and if it determines that the operation end timing has come (step S16: Yes), the process proceeds to FIG. The indicated process ends.

[5. Modified example]
The advertisement information, which is the property information described above, may include tag information. The tag information is, for example, information about a store or facility that is a nearby starting point candidate, and the tag information includes information about one or more stores or facilities. For example, when there are multiple starting point candidates of the type with the highest score in the search target area, the determination unit 32 determines the type of store or facility indicated by the tag information included in the information of the multiple properties in the search target area. The starting point candidate with the largest number of matches can be determined as the search starting point.

Further, for example, when two or more starting point candidates are extracted by the determining section 32, the providing section 33 may select stores of the types of the two or more starting point candidates as tag information among information on a plurality of properties in the search target area. It is also possible to provide the user U with property information including property information and facility information as information on properties in the vicinity of the search starting point.

In addition, the providing unit 33 provides the user U with map information in which a layer in which the areas in which the user U is estimated to have a strong interest are superimposed on the map (for example, colored in translucent red). can be provided. The area in which it is estimated that the user U has a strong interest is, for example, the range in which properties are searched from the search starting point among the selected areas. If there are multiple search origins, multiple areas will be highlighted.

[6. Hardware configuration]
The information providing apparatus 1 according to the embodiments described above is realized, for example, by a computer 80 having a configuration as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer 80 that implements the functions of the information providing device 1 according to the embodiment. The computer 80 includes a CPU 81, a RAM 82, a ROM (Read Only Memory) 83, an HDD (Hard Disk Drive) 84, a communication interface (I/F) 85, an input/output interface (I/F) 86, and a media interface (I/F). )87.

The CPU 81 operates based on a program stored in the ROM 83 or HDD 84 and controls each part. The ROM 83 stores a boot program executed by the CPU 81 when the computer 80 is started, programs depending on the hardware of the computer 80, and the like.

The HDD 84 stores programs executed by the CPU 81 and data used by the programs. The communication interface 85 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 81, and sends data generated by the CPU 81 to the other devices via the network N.

The CPU 81 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 86. The CPU 81 obtains data from an input device via the input/output interface 86. Further, the CPU 81 outputs the generated data to an output device via the input/output interface 86.

Media interface 87 reads programs or data stored in recording medium 88 and provides them to CPU 81 via RAM 82. The CPU 81 loads this program from the recording medium 88 onto the RAM 82 via the media interface 87, and executes the loaded program. The recording medium 88 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 80 functions as the information providing device 1 according to the embodiment, the CPU 81 of the computer 80 realizes the functions of the processing unit 12 by executing a program loaded onto the RAM 82. Furthermore, data in the storage unit 11 is stored in the HDD 84 . The CPU 81 of the computer 80 reads these programs from the recording medium 88 and executes them, but as another example, these programs may be acquired from another device via the network N.

[7. others〕
Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the process can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

For example, the information providing device 1 described above may be realized by a plurality of server computers, or depending on the function, it may be realized by calling an external platform using an API (Application Programming Interface) or network computing. can be changed flexibly.

Furthermore, the embodiments and modifications described above can be combined as appropriate within a range that does not conflict with the processing contents.

[8. effect〕
As described above, the information providing device 1 according to the embodiment includes the determining section 32 and the providing section 33. The determining unit 32 determines the starting point corresponding to the user U based on the user U's information. The providing unit 33 provides the user U with property information that is information about properties around the starting point determined by the determining unit 32. Thereby, the information providing device 1 can set the starting point used when searching for a property as a starting point according to the user U, and can improve convenience for the user U when searching for a property.

Further, the determination unit 32 determines the starting point using at least one of the user U's attribute information and the user U's action history information as the user U's information. Thereby, the information providing device 1 can set an appropriate starting point according to the user U as the starting point used when searching for a property.

Further, the determining unit 32 determines the starting point based on the score of each of the plurality of starting point candidates obtained from the learning model that calculates the score of each of the plurality of starting point candidates from the user U's information. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the determining unit 32 determines the starting point candidate with the highest score among the plurality of starting point candidates as the starting point. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the providing unit 33 extracts one or more properties from among the plurality of properties based on at least one of the type of the starting point, the distance from the starting point, and the means of transportation to the starting point, and extracts one or more properties from the plurality of properties. The user U is provided with information including information regarding the property as property information. Thereby, the information providing device 1 can appropriately select a property to provide information to the user U based on the starting point corresponding to the user U.

Further, the determining unit 32 selects two or more starting point candidates from among the plurality of starting point candidates based on the score, and determines the starting point based on the selected two or more starting point candidates. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the determination unit 32 determines a position that satisfies predetermined conditions for two or more starting point candidates as a starting point. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the determination unit 32 selects a plurality of starting point candidates of different types as two or more starting point candidates. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the providing unit 33 provides the user U with map information including information indicating the starting point in different display modes for each type and information on properties around the starting point as property information.

In addition, the providing unit 33 provides a plurality of properties based on at least one of the types of the two or more starting point candidates, the distance from the two or more starting point candidates, and the means of transportation to the two or more starting point candidates. One or more properties are extracted from among them, and information including information regarding the extracted one or more properties is provided to the user U as property information. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

The information providing device 1 also includes a reception unit 31 that accepts the selection of an area by the user U. The providing unit 33 provides property information to the user U when the size of the area accepted by the receiving unit 31 is less than or equal to a size that satisfies predetermined conditions. Thereby, the information providing device 1 can set the starting point used when searching for a property as a more appropriate starting point according to the user U.

Further, the determination unit 32 determines the starting point in each of the plurality of areas. The providing unit 33 provides the user U with property information in a plurality of areas. Thereby, the information providing device 1 can simultaneously present information on a plurality of areas having starting points corresponding to the user U to the user U.

Further, the determining unit 32 determines the same type of starting point as the starting point in each of the plurality of areas. Thereby, the information providing device 1 can simultaneously present information on a plurality of areas having the same starting point according to the user U to the user U.

Although the embodiments of the present application have been described above in detail based on the drawings, this is merely an example, and various modifications and improvements can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to implement the invention in other forms.

Further, the above-mentioned "section, module, unit" can be read as "means", "circuit", etc. For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Information providing device 2, ₁ , 2 ₂ ,..., 2 _n terminal device 10 Communication section 11 Storage section 12 Processing section 20 User information storage section 21 Property information storage section 30 Acquisition section 31 Reception section 32 Judgment section 33 Provision Section 100 Information Provision System N Network

Claims (15)

a determination unit that determines a starting point corresponding to the user based on user information;
An information providing device comprising: a providing unit that provides the user with property information that is information about properties in the vicinity of the starting point determined by the determining unit. The determination unit includes:
The information providing device according to claim 1, wherein the starting point is determined using at least one of the user's attribute information and the user's action history information as the user's information. The determination unit includes:
2. The starting point is determined based on the score of each of the plurality of starting point candidates obtained from a learning model that calculates the score of each of the plurality of starting point candidates from the user's information. information provision device. The determination unit includes:
The information providing apparatus according to claim 3, wherein a starting point candidate having the highest score among the plurality of starting point candidates is determined as the starting point. The provision department is
One or more properties are extracted from a plurality of properties based on at least one of the type of the starting point, the distance from the starting point, and the means of transportation to the starting point, and related to the extracted one or more properties. The information providing device according to claim 4, wherein information including information is provided to the user as the property information. The determination unit includes:
3. Based on the score, two or more starting point candidates are selected from among the plurality of starting point candidates, and the starting point is determined based on the selected two or more starting point candidates. The information providing device described in . The determination unit includes:
The information providing apparatus according to claim 6, wherein a position that satisfies predetermined conditions for the two or more starting point candidates is determined as the starting point. The determination unit includes:
The information providing device according to claim 6 or 7, wherein a plurality of starting point candidates of different types are selected as the two or more starting point candidates. The provision department is
Information provision according to claim 6, characterized in that map information including information indicating the starting point in different display modes for each type and information on properties around the starting point is provided to the user as the property information. Device. The provision department is
Select one property from among the plurality of properties based on at least one of the types of the two or more starting point candidates, the distance from the two or more starting point candidates, and the means of transportation to the two or more starting point candidates. 7. The information providing apparatus according to claim 6, wherein the above-mentioned properties are extracted and information including information regarding the extracted one or more properties is provided to the user as the property information. comprising a reception section that accepts the selection of an area by the user;
The provision department is
Information provision according to claim 1, characterized in that the property information is provided to the user when the size of the area accepted by the reception unit is less than or equal to a size that satisfies predetermined conditions. Device. The determination unit includes:
determining the starting point in each of a plurality of areas;
The provision department is
The information providing device according to claim 1, wherein the property information of the plurality of areas is provided to the user. The determination unit includes:
The information providing device according to claim 12, wherein the starting point of the same type is determined as the starting point in each of the plurality of areas. An information provision method executed by a computer, the method comprising:
a determination step of determining a starting point corresponding to the user based on the user's information;
An information providing method comprising: providing the user with property information that is information about properties in the vicinity of the starting point determined in the determining step. a determination procedure for determining a starting point corresponding to the user based on user information;
An information providing program that causes a computer to execute a providing procedure for providing the user with property information that is information about properties in the vicinity of the starting point determined by the determining procedure.

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