JP7120148B2 - Product information provision system - Google Patents

Description

The present invention relates to a product information providing system. More particularly, the present invention relates to a system that provides system users with information on multiple types of products.

2. Description of the Related Art Conventionally, systems have been proposed for providing product information to system users (users) by extracting and providing information suitable for each individual system user.

For example, Patent Literature 1 discloses a system that provides information on replacement tires for a vehicle to system users, extracting a plurality of types of tires that match the vehicle type and tire size of the system user from a tire performance database. In addition, the latent needs of system users (latent needs for quietness, latent needs for quietness, It is disclosed that a tire for replacement is selected according to the strength of the latent needs for ride comfort and latent needs for operability, and information about the tire for replacement is output to the terminal of the system user.

In addition, in Patent Document 1, the purpose and frequency of use of the vehicle, the annual mileage, etc. are shown as quietness latent needs determination items, and the seating position, roof carrier or roof box are shown as ride comfort latent needs determination items. The presence or absence of a trunk box, etc. are shown, and the sex and age of the driver, the main time period during which the vehicle is driven, etc. are shown as operational performance latent needs determination items.

JP 2010-277156 A

However, in the system disclosed in Patent Document 1, selection is made based on the usage pattern of the vehicle by the system user (purpose of use, annual mileage, etc.) and vehicle accessories (presence or absence of a roof carrier, etc.). Since information on replacement tires is output to the system user's terminal, there is a possibility that information that reflects the taste (sensory taste) that the system user originally seeks cannot be provided. be. In other words, it does not take into consideration the possibility that the latent needs of the system users estimated from the above judgment items and the actual needs of the system users may differ. There is a possibility that we are not able to provide information that allows you to select products according to your desired taste. As a result, when system users actually use the products (replacement tires) purchased using this system, there is a high possibility that they will not be satisfied with the products. There was room for improvement in terms of optimization as (multiple types of product information).

The present invention has been made in view of this point, and its object is to propose a product information providing system capable of providing information in consideration of the preferences that system users are originally seeking. .

The solution means of the present invention for achieving the above object is based on the premise of a product information providing system that provides information on a plurality of types of products to system users who request information on products. This product information providing system includes a product information database, an evaluation result information database, an analysis section, and an information providing section. The product information database stores product information of the plurality of types of products. The evaluation result information database stores information that associates evaluation result information for each of the plurality of types of products by a third party other than the system user with identification information of the third party. The analysis unit is a machine that uses a plurality of pieces of learning information including the evaluation result information and the identification information stored in the evaluation result information database for each of the plurality of types of products extracted from the product information database. Through learning, each product is classified into one of a plurality of categories preset to classify the preferences of system users. The information provision unit provides the system user with provision information obtained by aggregating information relating the products classified by the analysis unit and the categories.

Due to these specific items, the product information database contains product information for multiple types of products, and the evaluation result information database contains evaluation result information for multiple types of products by third parties other than system users who request product information. and the identification information of the third party are stored. When providing information on multiple types of products to the system user, the analysis unit targets each of the multiple types of products extracted from the product information database, and stores the information in the evaluation result information database. By performing machine learning using a plurality of learning information including the evaluation result information and the identification information, each product is classified into one of a plurality of categories preset to classify the preferences of the system user. Classify. In other words, each product is classified into each category so that the system user can select the product according to his or her preference. Each category includes, for example, the 4Rs in psychological language. In other words, it can be classified into "retreatment", "recreation", "relaxation", and "rest". The information that associates each product and each category classified by the analysis section in this way is aggregated as provided information, and provided to the system user by the information provision section. In other words, information that takes into consideration the preferences that the system user originally seeks is provided.

Therefore, system users can easily select products that suit their tastes according to the provided information. information can be obtained. Therefore, when a product is purchased, it is possible to reduce the possibility of causing a situation in which the product is not satisfactory, and it is possible to optimize the information provided to system users (information on multiple types of products). .

In the present invention, a machine using a plurality of pieces of learning information including third-party evaluation result information and identification information stored in an evaluation result information database for each of a plurality of types of products extracted from a product information database. Through learning, each product is classified into one of a plurality of categories preset to classify the preferences of system users, and information relating each classified product and each category is obtained. The system user is provided with the aggregated provision information. Therefore, system users can easily select products that suit their tastes, and the information provided to system users can be optimized.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows schematic structure of the product information provision system which concerns on embodiment. FIG. 4 is a diagram showing an example of a wheel lineup image displayed on a user terminal; FIG. 4 is a diagram showing an example of a wheel classification image displayed on a user terminal; FIG. 4 is a sequence diagram showing an example of operations in each of the user terminal, system server, and evaluation information providing user terminal; FIG. 10 is a diagram showing an example of a wheel classification image displayed on the user terminal in modification 1; FIG. 12 is a diagram showing an example of a wheel classification image displayed on the user terminal in modification 2; FIG. 12 is a diagram showing an example of a wheel classification image displayed on the user terminal in modification 3;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the present embodiment, a case will be described in which the present invention is applied as a product information providing system that provides information on vehicle wheels (products) to system users (hereinafter sometimes referred to as users). In other words, a case will be described in which the system user uses the product information providing system in a situation where the vehicle owned by the system user or the vehicle to be purchased is specified and the wheel is selected.

－Overview of product information provision system－
FIG. 1 is a diagram showing a schematic configuration of a product information providing system 1 according to this embodiment. As shown in FIG. 1, a product information providing system 1 comprises a plurality of user terminals 2, 2A, 2B, 2C, . . . and a system server 3 installed in an automobile manufacturer or wheel manufacturer. . The plurality of user terminals 2, 2A, 2B, 2C, . . . and the system server 3 can communicate with each other via a communication network such as the Internet.

(user terminal)
The user terminals 2, 2A, 2B, 2C, .

<Input part>
The input unit 21 is a functional part where an input operation is performed by a system user. The information input by the input unit 21 includes the case where the system user (the system user who requests product information) requests the information of each wheel when purchasing a wheel, etc., and the system user (said system user). It is different from the case where a third party other than) provides information that evaluates the wheel or evaluates the vehicle equipped with the wheel. As an example of evaluation of this wheel and evaluation of a vehicle equipped with a wheel, evaluation when riding in a vehicle equipped with a wheel (when driving a vehicle), an image of a wheel and an image of a vehicle equipped with a wheel It includes the evaluation of when you see it.

When the system user requests information on each wheel, information on the vehicle owned by the system user or about to be purchased (vehicle type information) and information unique to the system user (identification information) ) is input using the input unit 21 . This unique information includes age, gender, family structure, and the like.

On the other hand, in the case where the system user provides evaluation information, for example, evaluations such as the steering stability and ride comfort of the vehicle, evaluations such as the appearance of the wheel and the vehicle equipped with the wheel are good or bad, etc. It is input using the input unit 21 together with unique information (age, sex, family composition, etc.). For example, evaluation of the appearance of a wheel includes evaluation of the appearance based on the width and outer diameter of the wheel. The input unit 21 also allows the system user (the system user who provides the evaluation information) to input comments (character input) regarding the evaluation. Furthermore, the evaluation of the vehicle itself can also be input from the input unit 21 . For example, various types of evaluation information can be input from the input unit 21, such as evaluation by fellow passengers of the vehicle, evaluation of the degree of fatigue after long-distance driving, evaluation of the size of the vehicle interior, evaluation of ease of getting in and out of the vehicle, and the like. .

The evaluation information provided by these system users is used as information for classifying to which of the 4Rs in the language of psychology the evaluation corresponds. The 4Rs are "retreatment", "recreation", "relaxation", and "rest". used as an index to In other words, the evaluation that the steering stability of the vehicle is good is treated as a high evaluation of "peace of mind" among the 4Rs. In addition, the ride comfort of the vehicle is used as an index for evaluating "rest" among the 4Rs. In other words, the evaluation that the ride comfort of the vehicle is good is treated as a high evaluation of "rest" among the 4Rs. The details of the processing operation for classifying a plurality of types of wheels into one of these 4Rs will be described later.

In the following description, the user terminal 2 in FIG. 1 is a user terminal possessed by a system user who requests information on each wheel, and user terminals 2A, 2B, 2C, . . . provide evaluation information. A case where the user terminal is owned by a system user (third party) will be described as an example.

<Communication part>
The communication unit 22 is a functional part that transmits and receives information to and from the system server 3 via the communication network. Information input by the input operation of the input unit 21 is transmitted from the input unit 21 to the communication unit 22, and is transmitted from the communication unit 22 to the system server 3 via the communication network. .

In other words, the system user who requests the information of each wheel operates the user terminal 2, and the vehicle information and the unique information of the system user input from the input unit 21 are sent from the communication unit 22 via the communication network. is sent to the system server 3.

Further, the evaluation information input from the input unit 21 by the system user who provides the evaluation information by operating the user terminals 2A, 2B, 2C, . . . is transmitted to the system server 3 via the communication network.

On the other hand, when information (such as information on each wheel) created by the system server 3, which will be described later, is transmitted from the system server 3, this information is received by the communication unit 22 of the user terminal 2 via the communication network. will do. That is, the information transmitted from the system server 3 includes the information of the IP address of the transmission destination, and the IP address of the user terminal 2 that has transmitted the information request signal for each wheel is acquired, and the IP address is transmitted. Information on each wheel is transmitted only to the user terminal 2 that has it, and only this user terminal 2 receives the information.

<Memory part>
The storage unit 23 is a functional part that stores information input by the input operation of the input unit 21 and information received by the communication unit 22 from the system server 3, and is configured by a storage device such as a RAM. there is That is, in the storage unit 23 of the user terminal 2, the information of the vehicle and the unique information of the system user, which are the information input by the input operation of the input unit 21, are stored. These stored information are available when the other wheel information is requested. In other words, there is no need to re-enter vehicle information and system user-specific information. On the other hand, in the storage unit 23 of the user terminals 2A, 2B, 2C, . .

<Display part>
The display unit 24 displays an input image when an input operation is performed by the input unit 21 , and displays the received information when the communication unit 22 receives information from the system server 3 . That is, on the display unit 24 of the user terminal 2, an input image for inputting vehicle information and unique information of the system user (self) and a selection image for selecting already input information are displayed. . Further, in the display unit 24 of the user terminal 2, when information (information on each wheel, etc.) created by the system server 3 is transmitted from the system server 3, the information is displayed. Become. The details of this displayed information will be described later.

On the other hand, the display units 24 of the user terminals 2A, 2B, 2C, . .

(system server)
The system server 3 includes a product information database 31 , an evaluation result information database 32 , a communication section 33 , an information extraction section 34 , an analysis section 35 and a classification data creation section 36 .

<Product information database>
The product information database 31 stores vehicle information and parts information. In the case of this embodiment, the component information here is information on a plurality of types of wheels. Also, the vehicle information and the parts information are stored in association with each other. In other words, information is stored as to which vehicle each wheel can be mounted on, and when vehicle information is transmitted from the user terminal 2 and a vehicle is selected, information on the associated wheel is also stored. It is automatically selected. Such association between vehicle information and parts information is performed in advance by an administrator or the like of the system server 3, and when new vehicles or new parts (wheels) are released, the information is registered.

The wheel information stored in the product information database 31 includes, for example, the product name of the wheel, sales company, image, material, manufacturing method, price, weight, manufacturer's warranty period, and the like. Information related to the performance of the wheels (information related to rigidity, improvement of fuel efficiency, etc.) is also stored in association with each wheel. The wheel information is not limited to these, and is set as appropriate.

In this embodiment, the vehicle information and parts information stored in the product information database 31 include not only the vehicle and parts (wheels) of the manufacturer in which the system server 3 is installed, but also the vehicles and parts of other manufacturers. stored.

<Evaluation result information database>
The evaluation result information database 32 stores evaluation result information transmitted from the user terminals 2A, 2B, 2C, . . . and unique information of system users. In other words, evaluations when riding in a vehicle with wheels, images of wheels and images of vehicles with wheels, etc. are associated with the unique information of system users (third parties). are stored.

<Communication part>
A communication unit (information providing unit) 33 is a functional part that transmits and receives information to and from each of the user terminals 2, 2A, 2B, 2C, . . . via the communication network. That is, it receives vehicle information and system user-specific information from the user terminal 2, and evaluation information and system user-specific information from the user terminals 2A, 2B, 2C, . Then, when the communication unit 33 receives vehicle information and information specific to the system user from the user terminal 2 , the communication unit 33 transmits the information to the information extraction unit 34 . On the other hand, when the communication unit 33 receives evaluation information and system user-specific information from the user terminals 2A, 2B, 2C, . Further, the communication unit 33 transmits information of each wheel created by a classification data creation unit 36 (to be described later) to the user terminal 2 .

<Information extraction part>
The information extraction unit 34 acquires vehicle information from the user terminal 2 received by the communication unit 33 and information specific to the system user, and extracts information on all wheels that can be mounted on the vehicle specified by the vehicle information. Extract from the product information database 31 . In other words, as described above, the product information database 31 stores information about which vehicle each wheel can be mounted on. It is automatically selected, and the information of this wheel is extracted by the information extracting section 34 .

The information extraction unit 34 then outputs the extracted wheel information to the analysis unit 35 together with information specific to the system user.

<Analysis part>
The analysis unit 35 acquires the wheel information output from the information extraction unit 34 and the unique information of the system user. In addition, the analysis unit 35 associates a wheel that matches the wheel information output by the information extraction unit 34 out of the evaluation result information stored in the evaluation result information database 32 and information specific to the system user. Get information. In other words, the evaluation when riding a vehicle equipped with the wheel, the evaluation when viewing the image of the wheel or the image of the vehicle equipped with the wheel, etc., and the unique information of the system user who performed the evaluation Get associated information.

Then, in this analysis unit 35, using the information obtained from the information extraction unit 34 and the information obtained from the evaluation result information database 32, the category of each wheel is determined by machine learning (machine learning by artificial intelligence AI). To analyze.

In this machine learning, system user-specific information (age, gender, family composition, etc.) acquired from information from the user terminal 2, information related to wheel performance stored in the product information database 31, evaluation results Evaluation information for each wheel stored in the information database 32 (evaluation information associated with unique information of the system user who provides the evaluation information), vehicle information stored in the evaluation result information database 32 etc. will be used as learning information, and machine learning will be performed by artificial intelligence AI. Arbitrary methods can be applied as the method of machine learning by this artificial intelligence AI (neural network, clustering, etc.). The learning information may also include information on the residential area of the system user.

Said categories are, as mentioned above, the 4Rs (extraordinary, distraction, relaxation, rest) in psychological language.

That is, from the information acquired from the evaluation result information database 32, it is analyzed which of the 4Rs each wheel is classified into, and which of the 4Rs is assigned to each wheel.

As described above, as the evaluation information provided by the system user, the evaluation of the vehicle itself (evaluation of the degree of fatigue after long-distance driving, evaluation of the size of the vehicle interior, evaluation of ease of getting in and out of the vehicle, etc.) is input. , when machine learning is performed in consideration of the evaluation of the vehicle itself, even if it is the same wheel, the wheel is classified (assigned) according to the vehicle in which it is mounted. category) may be different.

<Categorized data creation part>
The classification data creation unit 36 creates provision information for listing each wheel by aggregating information that associates each wheel classified by the analysis unit 35 with each category (4R). The created provision information is transmitted to the user terminal 2 by the communication unit 33 .

－Display on user terminal－
Next, a display image on the user terminal 2 based on the information created by the classification data creation unit 36 and transmitted to the user terminal 2 via the communication unit 33 will be described.

This display image includes a wheel lineup image and a wheel classification image, which can be switched by the system user by operating the user terminal 2 .

(Wheel lineup image)
FIG. 2 is a wheel lineup image. This wheel lineup image includes a product information display area for displaying product information extracted from the information stored in the product information database 31, and information extracted from the information stored in the evaluation result information database 32. There is an evaluation information display area for displaying the evaluation information.

The product information display area includes display areas for the product name of the wheel, sales company, wheel image (design), material, manufacturing method, price, weight, manufacturer's warranty period, and the like. An image such as a photograph of the wheel is displayed in the wheel image display area. In the material display area, the types of wheel materials such as aluminum, magnesium, duralumin, and carbon are displayed. In the manufacturing method display area, the types of wheel manufacturing methods such as casting, forging, and weave (fabric), and the type of one-piece type or two-piece type are displayed.

On the other hand, the evaluation information display area includes display areas for test driver evaluation and general user evaluation. The display area for the test driver evaluation is divided into areas of "dedication," "lightness," "steering stability," and "ride comfort." Corresponding to the area of "dedication", characters of retreatment, unexperienced, and extraordinary experience are displayed. Corresponding to the area of "lightness", characters of recreation, refreshment, enjoyment, and distraction are displayed. Corresponding to the area of "steering stability", characters of relaxation, sense of security, and nervous rest are displayed. Characters of rest and rest are displayed corresponding to the area of "ride comfort". Evaluations of the 4Rs (extraordinary, distraction, comfort, and rest) in each area are displayed by facial images (expression marks) corresponding to each wheel. In other words, the more the facial image is a smiling face, the better the evaluation. These displays allow system users to easily recognize the characteristics (characters) of the wheels. In addition to the technical terms in the automobile field, the display also uses terms corresponding to 4R, making it easier for general users to understand the characteristics of the wheel. .

In the general user evaluation display area, evaluations by gender and age are displayed using face images. This face image also indicates that the smile mark indicates a better evaluation.

Also, if the user terminal 2 is a touch panel type terminal such as a smart phone, tapping each display area in the wheel lineup image switches to the display image of information related to that display area. there is

For example, when a wheel product name display area or a wheel image display area is tapped, an enlarged image of the wheel, dimensions of each part of the wheel, characteristics of the wheel, and the like are displayed.

Also, when the display area of the wheel sales company or the display area of the manufacturer's warranty period is tapped, the screen switches to an image displaying the home page of the wheel sales company.

Also, when the display area of the wheel material is tapped, the screen switches to an explanatory image of the characteristics of each wheel material. For example, the screen switches to an explanatory image of the relationship between the material and mass of the wheel and the relationship between the material and strength. When you tap the manufacturing method display area of the wheel, it switches to the explanation image of the characteristics by manufacturing method of the wheel. For example, the screen switches to an explanatory image showing the relationship between the manufacturing method and the mass of the wheel and the relationship between the manufacturing method and the strength. Tap the wheel mass display area to switch to an explanatory image of the wheel mass properties. For example, the display is switched to an explanation image of the relationship between wheel mass and vehicle motion performance, or the relationship between mass and fuel efficiency.

Also, when you tap the display area of the price of the wheel, it switches to the purchase image of that wheel.

Also, when you tap the display area of the test driver evaluation, you can see the introduction image of the test driver, the information of the vehicle used for the test, the introduction image of the test course (not only the circuit but also the general road), and the Switches to a static image testing the wheel, a moving image, etc.

Moreover, when the display area of the general user evaluation is tapped, the display image is switched to the evaluation comment of each general user.

The images after these switching are not limited to these.

(Wheel classification image)
FIG. 3 is a wheel classification image. This wheel classification image is an image reflecting the analysis result by the analysis unit 35 described above. That is, it is an image displaying information that associates each wheel with each category (4R).

As shown in FIG. 3, in the wheel classification image in this embodiment, the image is divided into four areas. Specifically, the upper left area on the image is an unusual area that displays a set of wheels that are unusual among the 4Rs. The upper right area on the image is a distraction area displaying a set of wheels corresponding to the distractions of the 4Rs. The lower left area on the image is a peace area that displays a set of wheels corresponding to peace among the 4Rs. The lower right area on the image is a rest area displaying a set of wheels corresponding to rest among the 4Rs.

Images of wheels corresponding to each area are displayed in these areas. That is, the image of the wheel corresponding to each area is displayed according to the classification of each wheel (classification assigned from among the 4Rs) obtained from the analysis results. Also, the background of each region is color-coded to facilitate identification of the 4Rs. For example, the background of the extraordinary area (upper left area on the image) is red, the background of the distraction area (upper right area on the image) is yellow, and the background of the peaceful area (lower left area on the image) is The background of the rest area (bottom right area on the image) is green.

The horizontal axis of each region is the manufacturer's warranty period, and the right side indicates the longer warranty period. The vertical axis of each region is the price of the wheel, and the higher the price, the higher the price. In each region, the arrangement of wheel images within the region is determined according to the warranty period and price of each wheel. That is, wheels with longer warranty periods are arranged on the right side of the area, and wheels with higher prices are arranged on the upper side of the area. In addition, the image of each wheel is displayed together with the sales company, manufacturing method, mass, etc. of the wheel, so that the system user can easily grasp each information of each wheel.

Further, in the wheel classification image, the characters "AI" are displayed in the center to appeal to system users that the image reflects the analysis results of artificial intelligence. In other words, the system appeals to system users that the images reflect analysis results based on a certain rule, unlike human evaluations, which are subject to variations. In addition, notes for system users are displayed below the letters "AI".

The information displayed in this wheel classification image and the form of color coding for each area are not limited to those described above, and can be arbitrarily set.

- System operation -
Next, an example of the operation of the product information providing system 1 configured as described above will be described.

FIG. 4 is a sequence diagram showing an example of operations in the user terminal 2, the system server 3, and the user terminals (evaluation information providing user terminal, test driver terminal) 2A to 2C. In FIG. 4, from the left side, the information processing operation in the user terminal 2, the information processing operation in the system server 3, and the information processing operation in the user terminals 2A to 2C are shown.

First, a system user operates the user terminal 2 (S 1 ) and transmits a home page access signal to the system server 3 . As a result, the homepage image information is transmitted from the system server 3 to the user terminal 2, and the homepage image is displayed on the screen of the user terminal 2 (S2).

After that, in the user terminal 2, the system user operates the input unit 21 (by operating the input image displayed on the display unit 24) to determine the vehicle owned or purchased by the system user. Information (vehicle type information) and information specific to the system user (age, sex, family composition, etc.) are input (S3). After this input operation, the information is transmitted from the communication unit 22 to the system server 3 by tapping the transmission button on the input image by the system user.

In the system server 3 that has received the information from the user terminal 2, the information extraction unit 34 extracts the parts information (S4), the analysis unit 35 analyzes by AI (S5), the classification data creation unit 36 creates classification data ( S6) is performed in order.

Specifically, the information extraction unit 34 acquires the vehicle information from the user terminal 2 received by the communication unit 33 and information specific to the system user, and all wheels that can be mounted on the vehicle specified by the vehicle information information is extracted from the product information database 31 .

After that, the analysis unit 35 acquires the information of the wheel output by the information extraction unit 34 and the information unique to the system user, and the evaluation result information stored in the evaluation result information database 32 and the information unique to the system user Among the information (information transmitted from the user terminals 2A to 2C), the information related to the wheel that matches the wheel information output by the information extraction unit 34 is acquired. Then, this analysis unit 35 uses the information acquired from the information extraction unit 34 and the information acquired from the evaluation result information database 32 to analyze the category of each wheel by machine learning (AI). Each wheel is assigned one of the 4Rs by analyzing which one of them is classified into.

After that, the classification data creation unit 36 aggregates the information that associates each wheel classified by the analysis unit 35 with each category (4R), thereby creating provision information for listing each wheel.

The provided information (product classification data) created in this manner is transmitted to the user terminal 2 by the communication unit 33 .

Then, in the user terminal 2 that has received this provided information, this provided information is displayed on the display unit 24 (part classification image display; S7).

Here, the images displayed on the display unit 24 are the wheel lineup image and the wheel classification image described above, and the system user can switch between these two types of display by operating the user terminal 2. .

Then, when purchasing a wheel using the image displayed on the display unit 24, an ordering operation is performed by tapping a purchase button on the image of the user terminal 2 (S8). Thus, order information is transmitted. In this case, when an order operation is performed to purchase wheels from a manufacturer (automobile manufacturer or wheel manufacturer) where the system server 3 is installed, order information is transmitted to the system server 3, and the system server 3 An order is placed (S9). On the other hand, when an ordering operation is performed to purchase a wheel made by a manufacturer other than the one where the system server 3 is installed, the ordering information is sent to the other company's server 3' different from the system server 3, and the other company's server 3' accepts the order. (S10).

- Effects of the embodiment -
As described above, in this embodiment, machine learning using a plurality of learning information including evaluation result information stored in the evaluation result information database 32 for a plurality of types of wheels extracted from the product information database 31 By performing, each wheel is classified into one of a plurality of categories (4R) preset to classify the preferences of system users, and each classified wheel is associated with each category The user terminal 2 of the system user is provided with information to be provided, which is obtained by aggregating the information. Therefore, system users can easily select products that suit their tastes, and the information provided to system users can be optimized.

In addition, in this embodiment, since information on various evaluations is accumulated in the evaluation result information database 32, it is also possible to use this information for the future development of wheels and automobiles. For example, it can be used for the development of various products such as future self-driving vehicles. Furthermore, it can be used to develop products that fuse the future and the past (for example, a new vehicle that fuses a vehicle that appears in popular cartoons and movies of the past with a vehicle of the future).

In addition, in this embodiment, since not only the evaluation information of general users but also the evaluation information of test drivers are acquired, it is possible to suppress the possibility of misleading system users due to incorrect evaluations of general users. This also enables optimization of the information provided to system users.

-Modification 1-
Next, modification 1 will be described. This modification is a modification of the wheel classification image displayed on the user terminal 2 . The configuration and operation of the product information providing system 1 are the same as those of the above-described embodiment. Therefore, only the wheel classification image will be described here.

FIG. 5 is a diagram showing an example of a wheel classification image displayed on the user terminal 2 in this modification.

The wheel classification image in this modified example is also an image reflecting the analysis result by the analysis unit 35 described above. That is, it is an image displaying information that associates each wheel with each category (4R).

As shown in FIG. 5, in the wheel classification image in this modification, each wheel is arranged on coordinates (orthogonal coordinates) in which the horizontal axis is the manufacturer's warranty period and the vertical axis is the price of the wheel. . In other words, the right wheel has a longer warranty period, and the higher wheel has a higher price. That is, the arrangement of wheel images within the area is determined according to the warranty period and price of each wheel. In addition, the image of each wheel is displayed together with the sales company, manufacturing method, mass, etc. of the wheel, so that the system user can easily grasp each information of each wheel. In addition, as the displayed character information, the 4R classification may be displayed together.

Also, the background of each area displaying these characters is color-coded to facilitate identification of the 4R. For example, the background of the character display area in the wheel classified as extraordinary is red, the background of the character display area in the wheel classified as distraction is yellow, and the background of the character display area in the wheel classified as peaceful is The color is blue, and the background of the character display area on the wheels classified as resting is green. Further, in the one shown in FIG. 5, the wheel image is provided with a frame, and this frame is also color-coded in the same manner as described above.

In addition, in the wheel classification image in this modification, extraordinary, distraction, peace, and rest are displayed below the characters "AI", and the background color of the characters "extraordinary" is red. The background color of the character of "Yasuragi" is set to yellow, the background color of the character of "Relax" is set to blue, and the background color of the character of "Rest" is set to green.

The information displayed in this wheel classification image and the form of color coding for each area are not limited to those described above, and can be arbitrarily set.

-Modification 2-
Next, modification 2 will be described. This modification is also a modification of the wheel classification image displayed on the user terminal 2 . Since the configuration and operation of the product information providing system 1 are the same as those of the above-described embodiment, only the wheel classification image will be described here.

FIG. 6 is a diagram showing an example of a wheel classification image displayed on the user terminal 2 in this modified example.

The wheel classification image in this modified example is also an image reflecting the analysis result by the analysis unit 35 described above. That is, it is an image displaying information that associates each wheel with each category (4R).

As shown in FIG. 6, in the wheel classification image in this modified example, an image of a vehicle equipped with wheels is displayed instead of the wheel image shown in FIG. That is, the image of the vehicle equipped with each wheel is arranged on coordinates (orthogonal coordinates) in which the horizontal axis is the manufacturer's warranty period and the vertical axis is the price of the wheel. In other words, the vehicle on the right side is equipped with wheels with a longer warranty period, and the vehicle on the upper side is equipped with expensive wheels. That is, the placement of the vehicle image within the area is determined according to the warranty period and price of each wheel. The image of each vehicle also displays the sales company, manufacturing method, mass, etc. of the wheel, making it easy for the system user to grasp each piece of information on each wheel.

Also, the backgrounds of these vehicle images are color-coded to facilitate 4R identification. For example, a vehicle with wheels categorized as Extraordinary has a red background, a vehicle with wheels categorized as Recreation has a yellow background, and a wheel categorized as Relaxation has a yellow background. Vehicles with wheels classified as resting have a green background.

In addition, even in the wheel classification image in this modification, extraordinary, distraction, peace, and rest are displayed below the letters “AI”, and the background color of the letters “out of the ordinary” is red. , the background color of the characters of distraction is yellow, the background color of the characters of tranquility is blue, and the background color of the characters of rest is green.

The information displayed in this wheel classification image and the form of color coding for each area are not limited to those described above, and can be arbitrarily set.

-Modification 3-
Next, modification 3 will be described. This modification is also a modification of the wheel classification image displayed on the user terminal 2 . Since the configuration and operation of the product information providing system 1 are the same as those of the above-described embodiment, only the wheel classification image will be described here.

FIG. 7 is a diagram showing an example of a wheel classification image displayed on the user terminal 2 in this modified example.

The wheel classification image in this modified example is also an image reflecting the analysis result by the analysis unit 35 described above. That is, it is an image displaying information that associates each wheel with each category (4R).

As shown in FIG. 7, in the wheel classification image in this modified example, an axis X indicating the manufacturer's warranty period and an axis Y indicating the price of the wheel are displayed on the image. A group of wheels (wheels with substantially the same conditions other than the manufacturer's warranty period) that may be selected particularly due to the difference in the manufacturer's warranty period are arranged on the axis X indicating the manufacturer's warranty period, and are arranged on the left side. The longer the warranty period, the longer the wheel is. In addition, a group of wheels (wheels with substantially the same conditions other than the price) that may be selected particularly due to the difference in wheel price are arranged on the axis Y indicating the price of the wheel, and are arranged on the left side. The price is as low as the wheel. That is, the arrangement of wheel images within the area is determined according to the warranty period and price of each wheel. Also, the other wheels are arranged as a "fuzzy group" in regions different from the respective axes.

In addition, a frame is displayed on the image of each wheel to facilitate identification of the 4R. For example, a wheel image classified as extraordinary has a red border, a wheel image classified as distraction has a yellow border, a wheel image classified as peaceful has a blue border, and a wheel image classified as leisure has a blue border. The image of the classified wheel is framed in green.

In addition, even in the wheel classification image in this modified example, extraordinary, distraction, peace, and rest are displayed near the letters “AI”, and the background color of the letters “out of the ordinary” is red. The background color of the characters in Distraction is yellow, the background color of the characters in Peace is blue, and the background color of the characters in Rest is green. The display of characters in this area is not limited to these four types, but also new products, light (especially lightweight wheels), stable (especially wheels with excellent running stability), ride comfort (especially It is also possible to adopt a display form in which characters such as "the wheels are comfortable to ride" are displayed, and the background color of the characters and the color of the frame are the same color.

The information displayed in this wheel classification image and the form of color coding for each area are not limited to those described above, and can be arbitrarily set.

In addition, in the wheel classification image in this modification, the wheel with the longest warranty period is the recommended wheel, and the image of the vehicle wearing the wheel running on the circuit and the scenery of the circuit are used as the background. This gives the appearance of the vehicle on which the wheels are mounted.

-Other embodiments-
It should be noted that the present invention is not limited to the above embodiments and modifications, and all modifications and applications encompassed within the scope of the claims and their equivalents are possible.

For example, in the above-described embodiment and each of the modified examples, the case where the present invention is applied as the product information providing system 1 that provides vehicle wheel information to system users has been described. The present invention is not limited to this, but can be used as a product information providing system that provides information on other vehicle parts (seats, aero parts, etc.) to system users, or provides vehicle information to system users. It is also possible to create a product information providing system that

Further, in the above-described embodiment and each of the modified examples, a case where a touch-panel terminal such as a smart phone is used as means for displaying product information has been described. The present invention is not limited to this, and various terminals such as a personal computer installed in an automobile dealer can be used. Further, in the above-described embodiment and each of the modified examples, product information is transmitted to the user terminal 2 as a form of providing product information to system users. The present invention is not limited to this, and product information may be provided using SNS (Social Networking Service). In addition to these, information on paper media such as catalogs and leaflets may also be provided to system users.

INDUSTRIAL APPLICABILITY The present invention is applicable to a product information providing system that provides system users with information on a plurality of types of products such as vehicle wheels.

1 product information providing system 2 user terminal 24 display unit 3 system server 31 product information database 32 evaluation result information database 33 communication unit (information providing unit)
34 information extraction unit 35 analysis unit 36 classification data creation unit

Claims (1)

In a product information provision system that provides information on multiple types of products to system users requesting product information,
a product information database storing product information of the plurality of types of products;
an evaluation result information database that stores information that associates evaluation result information of each of the plurality of types of products by a third party other than the system user with identification information of the third party;
Performing machine learning using a plurality of pieces of information for learning including the evaluation result information and the identification information stored in the evaluation result information database for each of the plurality of types of products extracted from the product information database. an analysis unit that classifies each of the products into one of a plurality of categories preset to classify the preferences of the system user;
and an information providing unit that provides the system user with information to be provided by aggregating information relating the products classified by the analysis unit and the categories. offer system.

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