JP7308106B2 - User analysis system - Google Patents

Description

One aspect of this disclosure relates to a user analytics system.

2. Description of the Related Art Computer systems are known for supporting the provision of services suitable for customers. For example, Patent Literature 1 describes an estimate presentation system that presents an estimate of the cost of goods or services associated with real estate. This system receives, from a user terminal, a request for an estimate of the purchase cost of a given product or service for a given piece of real estate, refers to the real estate information storage means, extracts real estate information on the given real estate, and sends an estimate request together with the real estate information. It transmits to the trader terminal, receives estimate information of the purchase cost conforming to the specifications of the predetermined real estate from the trader terminal, and transmits the estimate information to the user terminal.

Japanese Patent No. 6424352

It is difficult to provide services suitable for customers only by using real estate information.
Therefore, a mechanism for more accurately estimating users who can be service customers is desired.

A user analysis system according to one aspect of the present disclosure includes at least one processor. At least one processor identifies a user's address based on user information, obtains real estate information corresponding to the address by referring to a real estate database storing real estate information, and stores an action history of the user. By referring to the database, the user's stay status at each of the one or more geographical locations is estimated, and the user's segment is estimated based on the obtained real estate information and the estimated stay status.

In this aspect, user segments are estimated by considering not only real estate information but also the user's action history, so by using this estimation result, it is possible to more accurately estimate users who can become service customers. be able to.

According to one aspect of the present disclosure, it is possible to more accurately estimate users who can be service customers.

It is a figure showing an example of composition of a user analysis system concerning an embodiment. It is a flow chart which shows an example of operation of the user analysis system concerning an embodiment. It is a figure which shows an example of the correspondence table of a total evaluation value and a segment. FIG. 4 is a diagram showing an example of estimating a user's segment for providing a housekeeping service; FIG. 10 is a diagram showing another example of estimating user segments for the provision of housekeeping services; It is a figure which shows an example of the hardware constitutions of the computer used with the user analysis system which concerns on embodiment.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same or equivalent elements are denoted by the same reference numerals, and overlapping descriptions are omitted.

A user analysis system according to the present disclosure is a computer system that estimates a segment of users who may become service customers. Services are intangible goods that provide value, utility, or satisfaction to people. Provision of tangible goods in the service may be added. The types of services managed by the user analysis system are not limited. For example, the user analysis system may manage services related to housekeeping, home delivery, nursing care, or monitoring. A customer is a person who receives a service, and a user is a potential customer. Both customers and users can be one person or a group of people. A segment is a group of users with similar values or behaviors regarding the use of a service. A segment may reflect the user's standard of living. To "estimate a user's segment" means to estimate which segment the user belongs to. "User's segment" can be rephrased as "segment to which the user belongs".

Generally, in providing services, a customer selects a desired service from a given plurality of services, or selects a service proposed by a provider from the given plurality of services, and enjoys the service. do. In order to provide services that match the customer, it is desirable to grasp the segment of the customer. For example, by understanding customer segments, it becomes possible to provide services that match customers' actual or potential needs, customer situations, and so on. By estimating user segments, the user analysis system can directly or indirectly contribute to the provision of customer-tailored services. For example, the service provider can refer to the segment of the user estimated by the user analysis system to select and suggest services that are desirable to provide to the user.

FIG. 1 is a diagram showing an example of the configuration of a user analysis system 1 according to an embodiment. The user analysis system 1 includes a server 10 that is a computer that estimates user segments. Server 10 can access databases 20 via a communication network. The configuration of the communication network is not limited and may be designed according to any policy. For example, the communication network may include at least one of a mobile communication network, the Internet, an intranet, and a WAN (Wide Area Network).

The server 10 includes a user acquisition unit 11, an estimation unit 12, and an output unit 13 as functional elements. The user acquisition unit 11 is a functional element that identifies a user whose segment is to be estimated. The estimating unit 12 is a functional element for estimating the segment of the specified user, and includes a first evaluating unit 121 and a second evaluating unit 122 . The first evaluation unit 121 is a functional element that calculates an evaluation value based on user's real estate information as a residence evaluation value. The second evaluation unit 122 is a functional element that calculates an evaluation value based on the user's action history as an action evaluation value. The output unit 13 is a functional element that outputs the result of estimation by the estimation unit 12 .

An evaluation value based on real estate information, that is, a residence evaluation value is an index obtained by applying a given rule to real estate information. An evaluation value based on a user's action history, that is, an action evaluation value, refers to an index obtained by applying a given rule to the user's stay status estimated from the action history. A user's sojourn status indicates at least whether or not the user is at a certain geographic location, and may also indicate how long the user has been at the geographic location. Both the residential rating value and the behavioral rating value are used to estimate the user's segment. In one example, the first evaluation unit 121 calculates the residence evaluation value such that the higher the real estate price of the geographical position corresponding to the user's address, the higher the residence evaluation value corresponding to the address. In one example, the second evaluation unit 122 calculates the action evaluation value such that the longer the stay time at the geographical position where the real estate price is high, the higher the action evaluation value. In such an example, it can be said that the estimation unit 12 estimates the user's segment according to the user's standard of living.

The server 10 is configured using at least one computer. When a plurality of computers are used, one server 10 is logically constructed by connecting these computers to each other via a communication network.

The database group 20 is a collection of databases that store necessary data in the user analysis system 1 . In this embodiment, database group 20 includes user database 21 , real estate database 22 , location information database 23 , and purchase history database 24 . Each database may be constructed as part of the user analysis system 1 or may be provided in a computer system separate from the user analysis system 1 . The server 10 can access individual databases to read and write data.

The user database 21 is a non-temporary storage medium or storage device that permanently stores user information about users. Each record of user information includes a user ID, which is an identifier that uniquely identifies a user, and one or more data items that indicate user attributes. User attributes refer to information indicative of dispositions, characteristics, or states associated with a user. Examples of user attribute data items include name, address, telephone number, email address, date of birth, gender, occupation, and family structure, but user attributes are not limited to these. A database that stores given member information or contractor information may be used as the user database 21 , for example, contractor information for mobile communication may be used as the user database 21 .

The real estate database 22 is a non-temporary storage medium or storage device that permanently stores real estate information about real estate. Real estate refers to land or things attached to land, more specifically, at least one of land and buildings. The building may be, for example, a detached house or an apartment complex. In one example, a record about a certain real estate includes various data items such as the geographical location of the real estate (for example, lot number, address, coordinates, etc.), building name, age of building, real estate price. Data items are not limited to these. Individual records of real estate information may be set corresponding to individual real estate, may be set corresponding to given administrative districts such as prefectures and municipalities, or may be set corresponding to individual postal codes. may be set as When setting real estate information for each administrative district or each zip code, real estate prices may be represented by statistical values (for example, average, median, mode, etc.) within the district. Real estate prices can also be called property prices. The real estate price may include at least one of a land unit price, a building price, and a contract price.

The location information database 23 is a non-temporary storage medium or storage device that permanently stores location information indicating the location of the user. In one example, information indicating the current geographical location of the mobile terminal used by the user is used as the location information. In this case, the location information is accumulated in the location information database 23 by periodically acquiring and collecting the current geographical location of the mobile terminal by global positioning system (GPS) or base station information. In one example, each record of location information includes a user ID, measurement date and time, and geographic location. Measurement date and time refers to the date and time when the geographic location was measured or obtained. The method of representing the geographical location is not limited, and the geographical location may be represented by coordinates, or may be represented by administrative district names, for example.

The position information database 23 is an example of an action history database that stores the user's action history. Action history refers to information that indicates changes in a user's geographical location over time. By referring to this action history, the user analysis system 1 can estimate the stay status of the user. Location information is an example of a user's behavior history, as it indicates changes in the user's geographical location over time. By referring to the position information, the user analysis system 1 can estimate how each user has moved in the real world. In other words, the user analysis system 1 can estimate the stay status of each user at various geographical locations based on the location information.

In this disclosure, geographic location refers to a location or extent that exists in the real world. A geographic location may be indicated by a point, or may be indicated by a two-dimensional or three-dimensional area. For example, for various people or things such as real estate, users, mobile terminals, etc., their geographical locations may be indicated by the coordinates of representative points, or may be indicated by given ranges such as administrative areas. .

The purchase history database 24 is a non-temporary storage medium or storage device that permanently stores purchase information, which is a record of purchases of goods or services. In one example, each purchase information record includes product information indicating a purchased product or service, store information that sold the product or service, payment information, and purchase date and time. Data items constituting the product information are not limited, and the product information may include, for example, the name of one or more product names, the number of purchases, and the quantity of purchases. The data items constituting the store information are not limited either, and the store information may include, for example, name, location, telephone number, and e-mail address. The payment information may include payment amount and payment method (for example, cash, credit card, electronic money, etc.). Purchasing information indicates purchase histories not only for users but also for various people, and therefore can be said to be a kind of big data.

The data structure of each piece of information stored in each database is not limited, and may be designed according to any policy. For example, at least one of user information, real estate information, location information, and purchase information may be normalized or non-normalized according to an arbitrary policy and stored on one or more data tables.

An example of the operation of the user analysis system 1 (more specifically, the server 10) according to this embodiment will be described with reference to FIGS. 2 and 3. FIG. FIG. 2 is a flow chart showing an example of the operation of the user analysis system 1 as a processing flow S1. FIG. 3 is a diagram showing an example of a correspondence table between total evaluation values and segments.

In step S11, the user acquisition unit 11 identifies a user to be processed. A user identification method is not limited. For example, the user acquisition unit 11 may identify a user by acquiring a user ID input by a service provider or by acquiring a user ID selected in a given batch process. Alternatively, the user acquisition unit 11 may specify the user by acquiring a user ID sent from the user's terminal by a given operation.

In step S12, the first evaluation unit 121 acquires real estate information corresponding to the specified user's address. The first evaluation unit 121 refers to the user database 21 to identify user information including the acquired user ID, and acquires the address indicated by the user information. Then, the first evaluation unit 121 refers to the real estate database 22 to acquire real estate information corresponding to the address. Real estate information corresponding to an address refers to real estate information in which the geographical location of real estate corresponds to the address. means information. For example, the address of the user is "Akasaka XYZ Mansion M301, Minato-ku, Tokyo", and the geographical location of the real estate indicated by the real estate information is "Akasaka XYZ Mansion M301, Minato-ku, Tokyo". , “Akasaka XYZ Mansion M, Minato-ku, Tokyo”, “XYZ Akasaka, Minato-ku, Tokyo”, “Akasaka, Minato-ku, Tokyo”, or “Minato-ku, Tokyo”, This real estate information corresponds to that address.

In step S13, the first evaluation unit 121 calculates a residence evaluation value based on the acquired real estate information. For example, the first evaluation unit 121 may calculate the residence evaluation value based on the real estate price corresponding to the user's address. A specific calculation method for the residence evaluation value is not limited.

In one example, the first evaluation unit 121 reads from the real estate database 22 the real estate information corresponding to the area (for example, administrative area) to which the user's address belongs, and based on the real estate information, the price statistics of the real estate existing in the area. Obtain a value (e.g. mean, median, mode, etc.). In this example, the first evaluation unit 121 identifies the building age of the user's building based on the acquired real estate information, and then determines the age of the building that is in the area and has the same or similar age as the user's building. Price statistics (eg, mean, median, mode, etc.) may be obtained. The first evaluation unit 121 calculates a residence evaluation value based on the statistical value of real estate prices. For example, the first evaluation unit 121 may calculate the residence evaluation value by multiplying the value based on the statistical value by a given weight corresponding to the geographical location.

In another example, the first evaluation unit 121 may specify the price of the real estate indicated by the user's address, that is, the price of the user's real estate from the real estate information, and calculate the residence evaluation value based on the real estate price. In this example as well, the first evaluation unit 121 may calculate the residence evaluation value by multiplying the value based on the real estate price by a given weight corresponding to the geographical location.

Applying weights that correspond to geographic locations can reduce regional differences that can arise from using individual real estate information. For example, assume that the statistic or real estate price is 40 million yen and the weight is 1.5. In this case, the first evaluation unit 121 calculates the residence evaluation value as 4000×1.5=6000.

In step S14, the second evaluation unit 122 acquires the action history of the specified user. The second evaluation unit 122 refers to the location information database 23 to acquire location information including the acquired user ID as an action history. The second evaluation unit 122 may acquire only the action history for a limited past period (for example, the most recent three months) from the current time to the point of time preceding a given time.

In step S15, the second evaluation unit 122 estimates the stay status of the user based on the acquired action history. In one example, the second evaluator 122 estimates the stay status of the user at each of the one or more geographic locations based on the location information. Specifically, the second evaluator 122 estimates the user's stay time at each geographical location. The second evaluation unit 122 may estimate stay conditions (for example, stay time) only at each of one or more geographical locations other than the user's home and workplace. The second evaluation unit 122 may sort the geographic locations in descending order of length of stay, and acquire stay statuses only for the top n geographic locations.

In step S16, the second evaluation unit 122 calculates an action evaluation value based on the stay status of the user. For example, the second evaluation unit 122 may calculate the behavior evaluation value based on the user's stay time at each of one or more geographical locations. A method of calculating the behavior evaluation value is not limited.

In one example, the second evaluation unit 122 calculates the product of the stay time and a given reference evaluation value of the geographical position for each of one or more geographical positions, and the sum of the products is used as the action evaluation value. May be set. A method for calculating the reference evaluation value is not limited. In one example, the reference evaluation value may be calculated based on the purchase information in the purchase history database 24, for example, based on the purchase amount for the store, product, or service corresponding to the geographical location. The calculated reference evaluation value is stored in advance in a predetermined memory in order to calculate the action evaluation value.

The second evaluation unit 122 may calculate the action evaluation value by the following formula.
Behavior evaluation value = (reference evaluation value E 1 at geographical position ₁ ) x (stay time T 1 at geographical location ₁ ) + (reference evaluation value E 2 at geographical location ₂ ) x (stay time at geographical location 2 T ₂ )+...+(reference evaluation value E _n at geographical position n)×(visited time T _n at geographical position n)

As a specific example, assume that the second evaluation unit 122 estimates that the user's stay status was 12 hours, 5 hours, and 6 hours in Roppongi, Ginza, and Azabu, respectively. Also assume that the reference evaluation values for Roppongi, Ginza, and Azabu are 300, 450, and 270, respectively. In this case, the second evaluation unit 122 calculates the action evaluation value as 300×12+450×5+270×6=7470.

In step S17, the estimation unit 12 estimates the user's segment based on the residence evaluation value and the behavior evaluation value. A method for estimating a segment from these two evaluation values is not limited. For example, the estimation unit 12 may obtain the sum of the residence evaluation value and the behavior evaluation value as the total evaluation value, and estimate the user's segment based on this total evaluation value. For this process, the estimating unit 12 refers to the correspondence table between the total evaluation value and the segment to identify the segment corresponding to the total value. FIG. 3 is a diagram showing an example of the correspondence table. Assuming the correspondence table shown in FIG. 3, if the residence evaluation value is 6000 and the behavior evaluation value is 7470, the total evaluation value is 13470, so the estimation unit 12 estimates that the user belongs to the segment Sc.

In step S18, the output unit 13 outputs the estimated segment of the user as an estimation result. A method for outputting the estimation result is not limited. For example, the output unit 13 may display the estimation result on a display device, store it in a storage device such as a database, or transmit it to another computer. Alternatively, the output unit 13 may output the estimation results toward other functional elements (not shown) of the user analysis system 1 for subsequent processing in the user analysis system 1 . For example, when the user analysis system 1 includes a recommendation section that estimates the type of service that matches the user's segment, the output section 13 may output the estimation result to this recommendation section.

The user analysis system 1 may estimate segments for each of a plurality of users, and in this case the user analysis system 1 executes the processing flow S1 for each user.

As mentioned above, the user analytics system 1 may infer segments of users for any kind of service. For example, the user analysis system 1 may estimate a segment of users who can be customers of the housekeeping service. A housekeeping service is a service in which a worker visits a customer's house and performs housework on behalf of the customer. Household chores are work that is done to run a family life. The specific types of housework are not limited, and examples include cleaning, cooking, laundry, childcare, shopping, nursing care, transportation, delivery of luggage, and the like.

FIG. 4 is a diagram showing an example of estimating user segments for the provision of housekeeping services. In this example, the user analysis system 1 presumes that user Ua belongs to segment Sc and user Ub belongs to segment Sa. The service provider can propose an appropriate housekeeping service to each of the users Ua and Ub based on this estimation result. In the example of FIG. 4, the service provider proposes a low-cost and simple single plan to the user Ua of the segment Sc, and proposes a more expensive menu than the single plan to the user Ub of the segment Sa. We are proposing a high-rank plan that has

FIG. 5 shows another example of estimating user segments for the provision of housekeeping services. In this example, the user analysis system 1 estimates segments for each of a plurality of users. This estimation allows the service provider to identify segments 30 to which one or more users belong. The service provider can promote the housekeeping service to individual users of its segment 30 . In the example of FIG. 5, the service provider conducts promotions to individual users of segment 30, including distribution of coupons and guidance of high-rank plans.

Regarding the example of FIG. 5, in step S17 described above, the estimation unit 12 estimates user segments based on user attributes other than address (eg, age, family composition, etc.) in addition to the residence evaluation value and the behavior evaluation value. may That is, the estimation unit 12 may estimate the user's segment based on the real estate information, stay status, and user attributes other than the address. For example, the estimation unit 12 may estimate segments of individual users based on the total evaluation value based on the residence evaluation value and the behavior evaluation value and the user attributes. Through this processing, a specific segment is specified that includes only users whose total evaluation value is within a given range and whose age or family structure (single or not, dual-income or not, etc.) satisfies specific conditions. be done. As another example, the estimating unit 12 may calculate each user's home time per day based on the location information, and estimate the individual user's segment based on the total evaluation value and the home time. By this processing, for example, it is possible to identify a specific segment that includes only users whose total evaluation value is within a given range and whose calculated home time is less than or equal to a given threshold. Alternatively, the estimation unit 12 may estimate segments of individual users based on total evaluation values, user attributes, and home time. By this process, for example, it is possible to identify a specific segment that includes only users whose total evaluation value falls within a given range, whose age or family composition satisfies specific conditions, and whose home time is less than or equal to a given threshold. .

In step S17 described above, the estimation unit 12 may estimate the user's segment based on the residence evaluation value and the behavior evaluation value, as well as the stay status of the user's cohabitants (for example, the user's family). That is, the estimation unit 12 may estimate the user's segment based on the real estate information, the user's stay status, and the stay status of cohabitants. Alternatively, the estimation unit 12 may estimate the user's segment based on the real estate information, the user's stay status and user attributes, and the stay status of cohabitants. In one example, the estimating unit 12 identifies a cohabitant of the user based on the user attributes, and refers to an action history database that stores the cohabitant's action history to determine whether the cohabitant at each of one or more geographical locations is identified. Estimate the stay situation of For example, the estimation unit 12 calculates the home time of the cohabitant per day by the same method as the home time of the user. Then, the estimation unit 12 estimates the user's segment based on the total evaluation value, the user's home time, and the cohabitant's home time. By this processing, for example, the total evaluation value is included in a given range, the user's home time is equal to or less than a given first threshold, and the cohabitant's home time is equal to or less than a given second threshold. You can identify specific segments that contain only Alternatively, the estimation unit 12 may estimate the user's segment based on the total evaluation value, the user's home time and user attributes, and the home time of the cohabitant. By this processing, for example, the total evaluation value is included in a given range, the user's home time is equal to or less than a given first threshold, the user has a specific user attribute, and the cohabitant's home time is A particular segment can be identified that contains only users who are below a given second threshold.

The user analysis system 1 considers not only the real estate information but also the user's action history to estimate the user's segment. Therefore, the service provider can use the estimation results to more accurately estimate users who can be service customers. As shown in FIGS. 4 and 5, the service provider can introduce or propose an appropriate housekeeping service to users who are expected to have latent needs. This can lead to various effects such as expansion of the market for housekeeping services, appropriate assignment of appropriate workers, improvement of promotion efficiency, and improvement of unit price per customer.

In the above embodiment, the user analysis system 1 estimates user segments based on the residence evaluation value and the behavior evaluation value, but the residence evaluation value and the behavior evaluation value are not essential. The user analysis system may use indicators or conditions other than residence evaluation values to estimate user segments based on real estate information. Alternatively, the user analysis system may estimate segments of the user based on the stay status of the user, using indices or conditions other than the behavior evaluation value.

The block diagrams used in the description of the above embodiments show blocks for each function. These functional blocks (components) are implemented by any combination of at least one of hardware and software. Also, the method of realizing each functional block is not particularly limited. That is, each functional block may be implemented using one device physically or logically coupled, or directly or indirectly using two or more physically or logically separated devices (e.g. , wired, wireless, etc.) and may be implemented using these multiple devices. A functional block may be implemented by combining software in the one device or the plurality of devices.

Functions include judging, determining, determining, calculating, calculating, processing, deriving, examining, searching, checking, receiving, transmitting, outputting, accessing, resolving, selecting, choosing, establishing, comparing, assuming, expecting, assuming, Broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc. can't For example, the functional block responsible for transmission is called a transmitting unit or transmitter. In either case, as described above, the implementation method is not particularly limited.

For example, the user analysis system 1 or server 10 in one embodiment of the present disclosure may function as a computer that performs the processing of the present disclosure. FIG. 6 is a diagram showing an example of a hardware configuration of a computer 100 functioning as the user analysis system 1 or server 10. As shown in FIG. Computer 100 may physically include processor 1001, memory 1002, storage 1003, communication device 1004, input device 1005, output device 1006, bus 1007, and the like.

Note that in the following description, the term "apparatus" can be read as a circuit, device, unit, or the like. The hardware configuration of the server 10 may be configured to include one or more of each device shown in the figure, or may be configured without some of the devices.

Each function in the server 10 is performed by causing the processor 1001 to perform calculations, controlling communication by the communication device 1004, controlling communication by the communication device 1004, and controlling the communication by the memory 1002 and the It is realized by controlling at least one of data reading and writing in the storage 1003 .

The processor 1001, for example, operates an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic device, registers, and the like.

The processor 1001 also reads programs (program codes), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 to the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least part of the operations described in the above embodiments is used. For example, each functional element of the server 10 may be stored in the memory 1002 and implemented by a control program running on the processor 1001 . Although it has been explained that the above-described various processes are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. FIG. Processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via an electric communication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one of, for example, ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), and RAM (Random Access Memory). may be The memory 1002 may also be called a register, cache, main memory (main storage device), or the like. The memory 1002 can store executable programs (program code), software modules, etc. to perform a method according to an embodiment of the present disclosure.

The storage 1003 is a computer-readable recording medium, for example, an optical disc such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disc, a magneto-optical disc (for example, a compact disc, a digital versatile disc, a Blu-ray disk), smart card, flash memory (eg, card, stick, key drive), floppy disk, magnetic strip, and/or the like. Storage 1003 may also be called an auxiliary storage device. The storage medium described above may be, for example, a database, server, or other suitable medium including at least one of memory 1002 and storage 1003 .

The communication device 1004 is hardware (transmitting/receiving device) for communicating between computers via at least one of a wired network and a wireless network, and is also called a network device, a network controller, a network card, a communication module, or the like. The communication device 1004 includes a high-frequency switch, a duplexer, a filter, a frequency synthesizer, and the like, for example, in order to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). may consist of

The input device 1005 is an input device (for example, keyboard, mouse, microphone, switch, button, sensor, etc.) that receives input from the outside. The output device 1006 is an output device (for example, display, speaker, LED lamp, etc.) that outputs to the outside. Note that the input device 1005 and the output device 1006 may be integrated (for example, a touch panel).

Devices such as the processor 1001 and the memory 1002 are connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between devices.

Further, the computer 100 includes hardware such as a microprocessor, a digital signal processor (DSP), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). A part or all of each functional block may be implemented by the hardware. For example, processor 1001 may be implemented using at least one of these pieces of hardware.

As described above, the user analysis system according to one aspect of the present disclosure includes at least one processor. At least one processor identifies a user's address based on user information, obtains real estate information corresponding to the address by referring to a real estate database storing real estate information, and stores an action history of the user. By referring to the database, the user's stay status at each of the one or more geographical locations is estimated, and the user's segment is estimated based on the obtained real estate information and the estimated stay status.

In this aspect, user segments are estimated by considering not only real estate information but also the user's action history, so by using this estimation result, it is possible to more accurately estimate users who can become service customers. be able to.

In the user analysis system according to another aspect, the real estate information includes a real estate price, at least one processor calculates a residence evaluation value based on the real estate price corresponding to the address, and estimates a segment based on the residence evaluation value You may By evaluating the user's place of residence based on the real estate price and estimating the user's segment based on the evaluation, it is possible to estimate the segment that reflects the user's standard of living.

In the user analysis system according to another aspect, the real estate information may further include the age of the building. At least one processor identifies the building age of the user's building from the address, and calculates price statistics for one or more buildings that are located in the area to which the address belongs and whose building age matches or approximates that of the user's building. , the residence evaluation value may be calculated based on the statistical value. By obtaining a residence evaluation value based on the price of a building that exists in the area where the user lives and has the same age as the user's building, the user's living standard can be estimated more accurately, so that the user's segment can be further divided. It becomes possible to estimate with high accuracy.

In the user analysis system according to another aspect, the stay status includes stay time, at least one processor calculates a behavior evaluation value based on the stay time at each of the one or more geographical locations, and calculates the behavior evaluation value A segment may be estimated based on By evaluating the user's behavior based on the length of stay at each geographical location and estimating the user's segment based on the evaluation, it is possible to estimate a segment that reflects the user's standard of living.

In the user analysis system according to another aspect, at least one processor calculates, for each of one or more geographical positions, the product of the reference evaluation value of the geographical position and the stay time at the geographical position, A sum of one or more products may be set as the action evaluation value. With such a calculation method, an action evaluation value that more accurately reflects the user's standard of living can be obtained, so it is possible to more accurately estimate the user's segment.

In the user analysis system according to another aspect, at least one processor refers to an action history database that stores the action history of the user's cohabitants, so that the stay status of the cohabitants at each of one or more geographical locations may be estimated, and a segment of the user may be estimated based on the acquired real estate information, the estimated stay status of the user, and the estimated stay status of cohabitants. A user's segment can be more accurately estimated by further considering the stay status of the user's cohabitants.

In another aspect of the user analysis system, at least one processor may estimate segments of the user for providing housekeeping services to the user. In this case, it is possible to more accurately estimate users who can be customers of the housekeeping service.

Although the present disclosure has been described in detail above, it should be apparent to those skilled in the art that the present disclosure is not limited to the embodiments described in this disclosure. The present disclosure can be practiced with modifications and variations without departing from the spirit and scope of the present disclosure as defined by the claims. Accordingly, the description of the present disclosure is for illustrative purposes and is not meant to be limiting in any way.

Notification of information is not limited to the aspects/embodiments described in this disclosure, and may be performed using other methods. For example, notification of information includes physical layer signaling (e.g., DCI (Downlink Control Information), UCI (Uplink Control Information)), higher layer signaling (e.g., RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling, It may be implemented by broadcast information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. RRC signaling may also be called an RRC message, and may be, for example, an RRC connection setup message, an RRC connection reconfiguration message, or the like.

Each aspect/embodiment described in the present disclosure includes LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), FRA (Future Radio Access), NR (new Radio), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark) )), IEEE 802.16 (WiMAX®), IEEE 802.20, UWB (Ultra-WideBand), Bluetooth®, other suitable systems, and extended It may be applied to at least one of the next generation systems. Also, a plurality of systems may be applied in combination (for example, a combination of at least one of LTE and LTE-A and 5G, etc.).

The processing procedures, sequences, flowcharts, etc. of each aspect/embodiment described in this disclosure may be rearranged as long as there is no contradiction. For example, the methods described in this disclosure present elements of the various steps using a sample order, and are not limited to the specific order presented.

Certain operations that are described in this disclosure as being performed by a base station may also be performed by its upper node in some cases. In a network consisting of one or more network nodes with a base station, various operations performed for communication with a terminal may be performed by the base station and other network nodes other than the base station (e.g. MME or S-GW, etc. (including but not limited to). Although the case where there is one network node other than the base station is exemplified above, it may be a combination of a plurality of other network nodes (for example, MME and S-GW).

Information, etc., may be output from a higher layer (or lower layer) to a lower layer (or higher layer). It may be input and output via multiple network nodes.

Input/output information and the like may be stored in a specific location (for example, memory), or may be managed using a management table. Input/output information and the like can be overwritten, updated, or appended. The output information and the like may be deleted. The entered information and the like may be transmitted to another device.

The determination may be made by a value represented by one bit (0 or 1), by a true/false value (Boolean: true or false), or by numerical comparison (for example, a predetermined value).

Each aspect/embodiment described in the present disclosure may be used alone, may be used in combination, or may be used by switching according to execution. In addition, the notification of predetermined information (for example, notification of “being X”) is not limited to being performed explicitly, but may be performed implicitly (for example, not notifying the predetermined information). good too.

Software, whether referred to as software, firmware, middleware, microcode, hardware description language or otherwise, includes instructions, instruction sets, code, code segments, program code, programs, subprograms, and software modules. , applications, software applications, software packages, routines, subroutines, objects, executables, threads of execution, procedures, functions, and the like.

Software, instructions, information, etc. may also be sent and received over a transmission medium. For example, the software uses wired technology (coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.) and/or wireless technology (infrared, microwave, etc.) to create websites, Wired and/or wireless technologies are included within the definition of transmission medium when sent from a server or other remote source.

Information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may refer to voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. may be represented by a combination of

The terms explained in this disclosure and the terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, the channel and/or symbols may be signaling. A signal may also be a message. A component carrier (CC) may also be called a carrier frequency, a cell, a frequency carrier, or the like.

As used in this disclosure, the terms "system" and "network" are used interchangeably.

In addition, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, may be expressed using relative values from a predetermined value, or may be expressed using other corresponding information. may be represented. For example, radio resources may be indexed.

The names used for the parameters described above are not limiting names in any way. Further, the formulas, etc., using these parameters may differ from those expressly disclosed in this disclosure. Since the various channels (e.g., PUCCH, PDCCH, etc.) and information elements can be identified by any suitable names, the various names assigned to these various channels and information elements are in no way restrictive names. isn't it.

In the present disclosure, "base station (BS)", "radio base station", "fixed station", "NodeB", "eNodeB (eNB)", "gNodeB (gNB)", " "access point", "transmission point", "reception point", "transmission/reception point", "cell", "sector", "cell group", " Terms such as "carrier", "component carrier" may be used interchangeably. A base station may also be referred to by terms such as macrocell, small cell, femtocell, picocell, and the like.

A base station may serve one or more (eg, three) cells. When a base station serves multiple cells, the overall coverage area of the base station can be partitioned into multiple smaller areas, each smaller area being a base station subsystem (e.g., an indoor small base station (RRH: The term "cell" or "sector" refers to part or all of the coverage area of a base station and/or base station subsystem serving communication in this coverage. point to

In this disclosure, terms such as “Mobile Station (MS),” “user terminal,” “User Equipment (UE),” “terminal,” etc. may be used interchangeably. .

A mobile station is defined by those skilled in the art as subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless It may also be called a terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term.

At least one of a base station and a mobile station may be called a transmitter, a receiver, a communication device, and the like. At least one of the base station and the mobile station may be a device mounted on a mobile object, the mobile object itself, or the like. The mobile object may be a vehicle (e.g., car, airplane, etc.), an unmanned mobile object (e.g., drone, self-driving car, etc.), or a robot (manned or unmanned ). Note that at least one of the base station and the mobile station includes devices that do not necessarily move during communication operations. For example, at least one of the base station and the mobile station may be an IoT (Internet of Things) device such as a sensor.

Also, the base station in the present disclosure may be read as a user terminal. For example, communication between a base station and a user terminal is replaced with communication between multiple user terminals (for example, D2D (Device-to-Device), V2X (Vehicle-to-Everything), etc.) Regarding the configuration, each aspect/embodiment of the present disclosure may be applied. In this case, the user terminal may have the functions that the base station has. Also, words such as "up" and "down" may be replaced with words corresponding to inter-terminal communication (for example, "side"). For example, uplink channels, downlink channels, etc. may be read as side channels.

Similarly, user terminals in the present disclosure may be read as base stations. In this case, the base station may have the functions that the user terminal has.

As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Judgement", "determining" are, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (eg, lookup in a table, database, or other data structure), ascertaining as "judged" or "determined", and the like. Also, “judgment” and “decision” are used for receiving (e.g., receiving information), transmitting (e.g., transmitting information), input, output, access (accessing) (for example, accessing data in memory) may include deeming that something has been "determined" or "decided". In addition, "judgment" and "decision" are considered to be "judgment" and "decision" by resolving, selecting, choosing, establishing, comparing, etc. can contain. In other words, "judgment" and "decision" may include considering that some action is "judgment" and "decision". Also, "judgment (decision)" may be read as "assuming", "expecting", "considering", or the like.

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or coupling between two or more elements, It can include the presence of one or more intermediate elements between two elements being "connected" or "coupled." Couplings or connections between elements may be physical, logical, or a combination thereof. For example, "connection" may be read as "access". As used in this disclosure, two elements are defined using at least one of one or more wires, cables, and printed electrical connections and, as some non-limiting and non-exhaustive examples, in the radio frequency domain. , electromagnetic energy having wavelengths in the microwave and optical (both visible and invisible) regions, and the like.

As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly specified otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

Any reference to elements using the "first," "second," etc. designations used in this disclosure does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, reference to a first and second element does not imply that only two elements can be employed or that the first element must precede the second element in any way.

Where "include," "including," and variations thereof are used in this disclosure, these terms are inclusive, as is the term "comprising." is intended. Furthermore, the term "or" as used in this disclosure is not intended to be an exclusive OR.

In this disclosure, where articles have been added by translation, such as a, an, and the in English, the disclosure may include the plural nouns following these articles.

In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean that "A and B are different from C". Terms such as "separate," "coupled," etc. may also be interpreted in the same manner as "different."

DESCRIPTION OF SYMBOLS 1... User analysis system 10... Server 11... User acquisition part 12... Estimation part 121... First evaluation part 122... Second evaluation part 13... Output part 20... Database group 21... User database, 22...Real estate database, 23...Location information database, 24...Purchase history database.

Claims (3)

comprising at least one processor,
the at least one processor
Estimate the user's stay time at each of one or more geographical locations by referring to an action history database that stores the user's action history,
For each of the one or more geographical positions, calculating the product of the reference evaluation value of the geographical position and the stay time at the geographical position;
estimating the segment of the user based on the residence evaluation value calculated based on the real estate price corresponding to the user's address and the user's behavior evaluation value set based on the sum of one or more of the products;
User analytics system. the at least one processor
Identifying the building age of the user's building from the address,
calculating, as the real estate price, a statistic value of the price of one or more buildings that exist in the area to which the address belongs and whose building age matches or is similar to that of the building of the user;
calculating the residence evaluation value based on the real estate price ;
The user analysis system according to claim 1 . the at least one processor
estimating the stay status of the cohabitant at each of one or more geographical locations by referring to an action history database that stores the cohabitant's action history of the user;
estimating a segment of the user based on the residence evaluation value , the behavior evaluation value of the user , and the estimated stay status of the cohabitant;
The user analysis system according to claim 1 or 2 .

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