WO2020241693A1

WO2020241693A1 - Recommendation system, recommendation device, information processing method, and computer-readable recording medium

Info

Publication number: WO2020241693A1
Application number: PCT/JP2020/020937
Authority: WO
Inventors: 英理子関屋; 洋平丸山; 絵理子内田; 畠山　潤; 裕子坂井
Original assignee: 株式会社ニチレイ
Priority date: 2019-05-29
Filing date: 2020-05-27
Publication date: 2020-12-03
Also published as: JPWO2020241693A1

Abstract

[Problem] To provide a recommendation system, a recommendation device, an information processing method, and a computer-readable recording medium that are capable of accurately recommending cooking according to preferences and situations to each user while avoiding an excessive burden on each user. [Solution] A user-specific information acquisition unit 16 acquires corresponding cooking-specific information on the basis of user conversion information determined for target registered users. A presenting information output unit 22 outputs presenting information intended to be presented to the target registered users on the basis of the corresponding cooking-specific information. Default user information related with a type pattern according to a new user's preference is acquired from a default information storage unit 39 on the basis of type information about the new user, and user conversion information based on the acquired default user information is stored as the user conversion information determined for the new user in the user-specific information acquisition unit 16.

Description

Recommendation system, recommendation device, information processing method, and computer-readable recording medium

The present invention relates to a cooking recommendation system, a recommendation device, an information processing method, and a computer-readable recording medium.

There is known a system that recommends (recommends) information about one or more dishes to the user according to the taste of the user. For example, in the system disclosed in Patent Document 1, food elements are recommended based on the user's preference regarding taste and texture.

International Publication No. 2013/1268887

It is preferable that the food recommendation is determined not only by the user's individual food preference but also by considering the situation. For example, the best food depending on the time of day (eg morning, day and night), season (eg spring, summer, autumn and winter), location (eg home and travel destination), or other circumstances (eg daily life and special events). Can change.

In order to accurately recommend dishes according to each user's taste and situation, data on the tendency of food preference according to the situation is required for each user. However, it is not easy to obtain data on the food preference tendency of each user according to the situation. In particular, a large amount of data is required for individual users in order to recommend optimal dishes with high accuracy.

If a sufficient amount of data on food preference trends according to the situation can be obtained, cooking recommendations can be made accurately, but it imposes a considerable burden on the user, and as a result, the user's system usage is increased. You may be shunned. On the other hand, if there is little data on food preference trends according to the situation, the burden on the user can be reduced, but it is difficult to achieve satisfactory recommendation accuracy, and as a result, the user's use of the system may be avoided. Absent.

The present invention has been made in view of the above circumstances, and it is possible to accurately recommend dishes according to tastes and situations to each user while preventing the burden on each user from becoming excessive. The purpose is to provide the technology to do.

One aspect of the present invention is a cooking information storage unit that stores a plurality of cooking records relating to each of a plurality of dishes, and each of the plurality of cooking records is composed of a plurality of dish-specific data representing the properties of the dish. Receives a cooking information storage unit including basic cooking-specific information and presentation information that is information on dishes intended to be presented to the target registered user, and recommendation input information input by the target registered user. It is a user-related information acquisition unit that acquires input user-related information associated with the recommendation input information based on the recommendation input information. The recommendation input information includes at least data related to the situation, and the input user-related information is one or more users. The user-related information acquisition unit, which is composed of related data, and a plurality of user conversion information defined for each of the plurality of registered users are stored, and among the plurality of user conversion information, the target registered user is defined. It is a user-specific information acquisition unit that acquires the corresponding dish-specific information from the input user-related information acquired by the user-related information acquisition unit based on the user conversion information, and the corresponding dish-specific information is associated with the input user-related information. The user-specific information acquisition unit, which is composed of a plurality of dish-specific data, and the dish information storage unit are referred to to compare the corresponding dish-specific information with the basic dish-specific information, and the corresponding dish among a plurality of dish records is compared. The presentation information output unit and the presentation information output unit that determine one or more corresponding food records that are cooking records containing basic food unique information that match the unique information and output the presentation information included in the one or more corresponding food records. This is basic dish-specific information included in the dish record related to the dish selected by the target registered user based on the selected dish information after receiving the selected dish information indicating the dish selected by the target registered user based on the output presentation information. A selection information acquisition unit that acquires selection food-specific information, and a user information update unit that updates user conversion information defined for the target registered user and stored in the user-specific information acquisition unit based on the selection food-specific information. , Acquires a default information storage unit that stores a plurality of default user information associated with each of a plurality of typographic patterns based on preferences, and typographic information indicating a typology pattern according to a new user's preference among a plurality of typographic patterns. Type putter according to the taste of the new user based on the type information acquisition unit and the type information about the new user. Default information that acquires the default user information associated with the information from the default information storage unit and stores the acquired user conversion information based on the default user information in the user-specific information acquisition unit as user conversion information defined for a new user. It relates to a processing unit and a recommendation system including.

The recommendation system may include a default information update unit that updates a plurality of default user information stored in the default information storage unit based on the selected dish-specific information.

The default information update unit may update a plurality of default user information stored in the default information storage unit based on a plurality of user conversion information updated based on the selected dish-specific information.

The recommendation system includes a type information storage unit that stores type information indicating a type pattern in which each of a plurality of registered users is classified according to preference, and the default information update unit is a type stored in the type information storage unit. Based on the information, two or more registered users classified into the same type pattern are specified, and each of the plurality of default user information stored in the default information storage unit is classified into the corresponding type pattern2. It may be updated based on the user conversion information defined for the above registered users.

Each of the plurality of user transformation information may include data of a plurality of transformation matrix elements which are a plurality of elements constituting the matrix.

The user information update unit updates a part or all of the data of the plurality of transformation matrix elements included in the user conversion information, and sends the user conversion information including the updated data of the plurality of transformation matrix elements to the user-specific information acquisition unit. You may memorize it.

Each of the plurality of user conversion information includes data of a plurality of conversion matrix elements which are a plurality of elements constituting the matrix, and each of the plurality of default user information is a plurality of default matrices which are a plurality of elements constituting the matrix. The default information update unit includes data of elements, and the data of a plurality of conversion matrix elements of two or more matrices defined for each of two or more registered users and a type pattern in which two or more registered users are classified. Multiples included in the default user information associated with the type pattern in which two or more registered users are classified based on the comparison results with the data of multiple default matrix elements included in the default user information associated with You may update the data of the default matrix element of.

Each of the plurality of user conversion information includes a plurality of user conversion records including related dish-specific information and basic user-related information associated with the related dish-specific information, and each of the plurality of user conversion records is unique to the related dish. The information is composed of two or more dish-specific data, the basic user-related information is composed of one or more user-related data, and the user-specific information acquisition unit compares the input user-related information with the basic user-related information and inputs the user. The corresponding user conversion record, which is a user conversion record including the basic user-related information conforming to the related information, may be determined, and the related dish-specific information included in the corresponding user conversion record may be acquired as the corresponding dish-specific information.

The user information update unit stores a new user conversion record determined based on the selected dish-specific information and the input user-related information in the user-specific information acquisition unit so as to be included in the user conversion information defined for the target registered user. You may.

Regarding each of the plurality of user conversion information, the user information update unit has one or more food-specific data and one or more related to each other that are commonly included among the two or more user conversion records among the plurality of user conversion records. A new user conversion record having user-related data may be stored in the user-specific information acquisition unit so as to be included in the corresponding user conversion information.

Each of the plurality of user conversion information includes a plurality of user conversion records including related dish-specific information and basic user-related information associated with the related dish-specific information, and each of the plurality of user conversion records is specific to the related dish. The information is composed of two or more dish-specific data, the basic user-related information is composed of one or more user-related data, and the user-specific information acquisition unit compares the input user-related information with the basic user-related information and inputs the user. A corresponding user conversion record which is a user conversion record including basic user-related information conforming to the related information is determined, the related dish-specific information included in the corresponding user conversion record is acquired as the corresponding dish-specific information, and a plurality of default user information Each of the plurality of default records contains a plurality of default records, each of the plurality of default records contains a default-supported dish-specific information and a default basic user-related information associated with the default-supported dish-specific information, and the default-supported dish-specific information is 2. It is composed of the above cooking-specific data, the default basic user-related information is composed of one or more user-related data, and the default information update unit is between two or more user conversion information defined for each of the two or more registered users. , Corresponding to each other Default user information associated with a type pattern in which two or more registered users are classified based on a common user conversion record, which is a common user conversion record with food-specific information and basic user-related information. May be updated.

Another aspect of the present invention is a recommendation device connected to a cooking information storage unit, a conversion information storage unit, and a default information storage unit, in which the cooking information storage unit stores a plurality of cooking records for each of the plurality of dishes. Each of the plurality of dish records to be stored is basic dish-specific information composed of a plurality of dish-specific data representing the properties of the dish, and dish information intended to be presented to the target registered user. The conversion information storage unit stores a plurality of user conversion information defined for each of the plurality of registered users, including the presentation information, and the default information storage unit is a plurality of preference-based patterns associated with each of the plurality of typographic patterns. A user-related information acquisition unit that stores default user information, receives recommendation input information input by the target registered user, and acquires input user-related information associated with the recommendation input information based on the recommendation input information. The recommendation input information includes at least data related to the situation, and the input user-related information is composed of one or more user-related data. It is defined for the user-related information acquisition unit and the target registered user among a plurality of user conversion information. It is a user-specific information acquisition unit that acquires corresponding food-specific information from the input user-related information acquired by the user-related information acquisition unit based on the user conversion information to be obtained, and the corresponding food-specific information is associated with the input user-related information. The user-specific information processing unit, which is composed of a plurality of dish-specific data, and the selected dish, which is the basic dish-specific information included in the dish record related to the dish selected by the target registered user based on the corresponding dish-specific information. A user information update unit that updates the user conversion information defined for the target registered user and stored in the conversion information storage unit based on the unique information, and a type according to the preference of a new user among a plurality of type patterns. Based on the type information acquisition unit that acquires the type information indicating the pattern and the type information about the new user, the default user information associated with the type pattern according to the preference of the new user is acquired from the default information storage unit and acquired. The present invention relates to a recommendation device including a default information processing unit that stores user conversion information based on the default user information as user conversion information defined for a new user in a user-specific information acquisition unit.

Another aspect of the present invention is an information processing method for a recommendation system, wherein the recommendation system is a cooking information storage unit that stores a plurality of cooking records for each of a plurality of dishes, and is a cooking information storage unit for a plurality of cooking records. Cooking information, each of which includes basic food-specific information composed of a plurality of food-specific data representing the nature of the food, and presentation information that is information on the food intended to be presented to the target registered user. It is a user-related information acquisition unit that receives the recommendation input information input by the target registered user and the storage unit, and acquires the input user-related information associated with the recommendation input information based on the recommendation input information, and is the recommendation input information. Stores a user-related information acquisition unit and a plurality of user conversion information defined for each of a plurality of registered users, which includes at least data related to the situation and the input user-related information is composed of one or more user-related data. Then, the user-specific information acquisition unit that acquires the corresponding cooking-specific information from the input user-related information acquired by the user-related information acquisition unit based on the user conversion information defined for the target registered user among the plurality of user conversion information. The corresponding dish-specific information is composed of a plurality of dish-specific data associated with the input user-related information, and the corresponding dish-specific information with reference to the user-specific information acquisition unit and the dish information storage unit. By comparing with the basic dish-specific information, one or more corresponding dish records that are cooking records containing the basic dish-specific information that matches the corresponding dish-specific information are determined from a plurality of dish records, and are included in the one or more corresponding dish records. The presentation information output unit that outputs the presentation information and the selection food information indicating the food selected by the registered user based on the presentation information output by the presentation information output unit are received, and the target registration is performed based on the selection food information. The selection information acquisition unit that acquires the selection food specific information that is the basic food specific information included in the food record related to the food selected by the user, and the user specific information that is determined for the target registered user based on the selection food specific information. A user information update unit that updates the user conversion information stored in the unit is provided, and a step of acquiring typographical information indicating a typographical pattern according to a new user's preference among a plurality of typographical patterns based on preference is provided. Multiple default users associated with each of multiple typographic patterns based on typographical information about the new user The default user information associated with the type pattern according to the preference of the new user is acquired from the default information storage unit that stores the information, and the user conversion information based on the acquired default user information is defined for the new user. The present invention relates to an information processing method including a step of storing the user-specific information acquisition unit as user conversion information.

Another aspect of the present invention is a computer-readable recording medium on which a program for causing a computer to execute an information processing method for a recommendation system is recorded, in which the recommendation system is a plurality of dishes relating to each of the plurality of dishes. It is a cooking information storage unit that stores records, and each of a plurality of cooking records may be presented to a target registered user with basic cooking-specific information composed of a plurality of cooking-specific data representing the nature of the food. An input user who receives the recommendation input information input by the cooking information storage unit including the presentation information which is the information of the intended dish and the target registered user, and is associated with the recommendation input information based on the recommendation input information. A user-related information acquisition unit that acquires related information, the recommendation input information includes at least data related to the situation, and the input user-related information is composed of one or more user-related data. , A plurality of user conversion information defined for each of a plurality of registered users is stored, and is acquired by the user-related information acquisition unit based on the user conversion information defined for the target registered user among the plurality of user conversion information. A user-specific information acquisition unit that acquires corresponding food-specific information from input user-related information, and the corresponding food-specific information is composed of a plurality of food-specific data associated with input user-related information. Correspondence which is a dish record containing basic dish-specific information matching the corresponding dish-specific information among a plurality of dish records by comparing the corresponding dish-specific information and the basic dish-specific information with reference to the acquisition section and the dish information storage section. The presentation information output unit that determines one or more cooking records and outputs the presentation information included in the one or more corresponding cooking records, and the food selected by the target registered user based on the presentation information output by the presentation information output unit. The selection information acquisition unit that receives the selected food information to be shown and acquires the selected food specific information that is the basic food specific information included in the food record related to the food selected by the target registered user based on the selected food information, and the selected food specific It is provided with a user information update unit that updates user conversion information that is defined for the target registered user and is stored in the user-specific information acquisition unit based on the information, and is a new user among a plurality of type patterns based on preferences. The procedure for acquiring type information indicating the type pattern according to the preference of the new user and the type for a new user. Based on the information, the default user information associated with the type pattern according to the preference of the new user is acquired from the default information storage unit that stores a plurality of default user information associated with each of the plurality of type patterns. A computer-readable recording medium in which a program for causing a computer to execute a procedure for storing user conversion information based on the default user information in a user-specific information acquisition unit as user conversion information defined for a new user is recorded. Regarding.

According to the present invention, it is possible to accurately recommend dishes according to tastes and situations to each user while preventing the burden on each user from becoming excessive.

FIG. 1 is a schematic view showing a typical example of a network system. FIG. 2 is a diagram showing a typical example of the functional configuration of the recommendation system. FIG. 3 is a diagram conceptually showing the recommendation input information. FIG. 4A is a diagram conceptually showing a plurality of cooking records stored in the cooking information storage unit. FIG. 4B is a diagram conceptually showing typical examples of information and data included in each cooking record. FIG. 5A is a diagram conceptually showing a plurality of status records stored in the user-related information storage unit. FIG. 5B is a diagram conceptually showing typical examples of information and data included in each status record. FIG. 6A is a diagram conceptually showing a plurality of user conversion records stored in the conversion information storage unit. FIG. 6B is a diagram conceptually showing a typical example of transformation matrix element data included in each user conversion record. FIG. 6C is a diagram illustrating a determinant for acquiring corresponding dish-specific information from input user-related information. FIG. 7A is a diagram conceptually showing a plurality of user conversion records stored in the conversion information storage unit. FIG. 7B is a diagram conceptually showing typical examples of information and data included in each user conversion record. FIG. 8A is a diagram conceptually showing a plurality of default records stored in the default information storage unit. FIG. 8B is a diagram conceptually showing typical examples of information and data included in each default record. FIG. 9A is a diagram conceptually showing a plurality of default records stored in the default information storage unit. FIG. 9B is a diagram conceptually showing typical examples of information and data included in each default record. FIG. 10 is a flow chart showing an example of a processing flow relating to "input of recommendation input information-output of cooking specific information" and "selection of recommended candidate food-output of cooking characteristic information". FIG. 11 is a flow chart showing an example of a flow of processing for registering user conversion information of a new user. FIG. 12 is a flow chart showing an example of a flow of processing for updating user conversion information. FIG. 13 is a flow chart showing an example of the flow of processing for updating the default user information.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a schematic diagram showing a typical example of a network system. Although a simplified system configuration is shown in FIG. 1 for ease of understanding, a device (for example, a device that manages communication) that is not actually shown in FIG. 1 is provided as needed. Has been done.

When the user operates the

client terminals

4a and 4b, data can be transmitted and received between the

client terminals

4a and 4b and the information processing server 2 and the database 3 via the network 1. Typically, communication devices such as personal computers, smartphones, mobile phones, tablet terminals and dedicated terminals can be used as

client terminals

4a and 4b. However, the specific form of the

client terminals

4a and 4b is not limited. The connection form of the

client terminals

4a and 4b to the network 1 is not limited, and the user can appropriately use the client terminal 4a connected to the network 1 by wire and the client terminal 4b connected wirelessly. .. In the following description, various types of

client terminals

4a and 4b are also collectively referred to simply as client terminals 4.

The network 1 is typically an internet line, a local network, or a dedicated network capable of transmitting data (signals) between an information processing server 2, a database 3, a client terminal 4, and other connected devices (not shown). It is possible to use the communication line of the above and other communication lines. However, the specific form of the network 1 is not limited. The information processing server 2, the database 3, the client terminal 4, and other connected devices (not shown) may be connected to each other via a common network 1, or may be connected to each other via separate networks 1. You may be. For example, in the example shown in FIG. 1, the information processing server 2 and / or the client terminal 4 can access the database 3 via the common network 1, but the database 3 is a line connected only to the information processing server 2 (illustrated). (Omitted), and basically only the information processing server 2 may be able to access the database 3. Further, the information processing server 2, the database 3, and the client terminal 4 may be provided in different countries.

The information processing server 2 and the database 3 are not limited, and can be configured by any device. The information processing server 2 transmits / receives data to / from the client terminal 4, the database 3, and other connected devices via the network 1, and performs data processing. The database 3 mainly holds various types of data, and the information processing server 2, the client terminal 4, and other connected devices can read or write the data as needed. Although FIG. 1 shows a single information processing server 2 and a single database 3, the number of the information processing server 2 and the database 3 is not limited. A plurality of information processing servers 2 and a plurality of databases 3 connected to the network 1 may cooperate with each other to operate as the recommendation system 10 described below.

[Recommendation system]
FIG. 2 is a diagram showing a typical example of the functional configuration of the recommendation system 10. Each element shown in FIG. 2 can be realized by software and / or hardware, but the specific configuration of each element is not limited.

The recommendation system 10 shown in FIG. 2 has a recommendation device 11 configured by an information processing server 2 (see FIG. 1), and a first database 31, a second database 32, and a second database connected to the recommendation device 11 via a network 1. It includes a third database 33 and a fourth database 34 (see database 3 shown in FIG. 1), and a client terminal 4 connected to the recommendation device 11 via the network 1. The client terminal 4 may be directly connectable to the first database 31, the second database 32, the third database 33 and / or the fourth database 34 via the network 1.

The first database 31 has a cooking information storage unit 35. The second database 32 has a user-related information storage unit 36. The third database 33 has a conversion information storage unit 37, a type information storage unit 38, and a user information storage unit 40. The fourth database 34 has a default information storage unit 39.

The recommendation device 11 includes a user-related information processing unit 20, a user-specific information processing unit 21, a presentation information output unit 22, a selection information acquisition unit 23, a user information update unit 24, a type information acquisition unit 25, a default information processing unit 26, and a default. It has an information updating unit 27.

Each client terminal 4 has a user input unit 41 and a user output unit 42. The user can operate the user input unit 41 to input various data to the client terminal 4. Various data input to the client terminal 4 can be transmitted to the recommendation device 11 via the network 1. Further, the client terminal 4 can output various data and various information (including various data and various information received via the network 1) owned by the client terminal 4 to the user output unit 42. The user can confirm various data and various information via the user output unit 42.

The terms "information" and "data" mentioned here are not necessarily exclusively distinguished, but are terms that can be semantically common. Typically, some information contains or is derived from the data, but the data itself may be treated as information.

The specific form of the user input unit 41 and the user output unit 42 is not limited, and may be provided separately from each other in a single device, or may be provided integrally with each other such as a touch panel display. Good. The user input unit 41 is typically a contact type device in which data is input by touching a user's finger or the like, but may include a non-contact type device such as a voice input. The user output unit 42 is typically composed of a video display device or the like that outputs information in a form recognized through vision, but is a device that outputs information in a form recognized through a sense other than vision (for example, hearing). May include.

In the present embodiment, the recommendation input information is input to the client terminal 4 via the user input unit 41 by the target registered user, and the recommendation input information is sent from the client terminal 4 to the recommendation device 11 via the network 1. The recommendation device 11 determines one or more dishes to be recommended to the target registered user based on the recommendation input information, and sends the determined information on the recommended dish to the client terminal 4 via the network 1. The client terminal 4 provides the information regarding the recommended dish sent from the recommendation device 11 to the target registered user via the user output unit 42.

FIG. 3 is a diagram conceptually showing the recommendation input information J0. FIG. 3 and FIGS. 4A to 9B described later conceptually merely show various information and various data. Therefore, for example, the storage format of information and data in each storage unit is not limited. Further, a storage unit (not shown) may be appropriately provided. Further, the hardware and / or software that realizes each functional configuration is not limited. Two or more functional configurations may be realized using common hardware and / or software. In addition, information and data (for example, information and data not shown) that are not directly mentioned in the present specification may be stored in an arbitrary storage unit.

The recommendation input information J0 of this embodiment includes the status input information J0-1 and other input information J0-2. The situation input information J0-1 is information on a situation composed of data on the situation, and is information on a situation in which a dish for which a recommendation is requested by a target registered user is provided. The other input information J0-2 is information other than the situation input information J0-1 and may include information unrelated to the situation. The recommendation input information J0 (ie, status input information J0-1 and other input information J0-2) is typically determined based on the positive wishes of the target registered user, but is negative for the target registered user. It may be decided based on various wishes. That is, the target registered user may include negative information in the recommendation input information J0 that he / she does not want to be associated with the recommended dish.

The status input information J0-1 and other input information J0-2 are not limited, but can typically include the following information. That is, the status input information J0-1 is the date and time when the meal is scheduled, the scheduled wake-up time on the day when the meal is scheduled, and the schedule of other meals on the day when the meal is scheduled (for example, the scheduled date and time of another meal). And other meal schedules, etc.), work location and working hours on the day you plan to eat, information about eaters other than registered users (that is, people who plan to eat with registered users), and cooking May contain information about at least one of the places where the. Other input information J0-2 can be used for culinary tendencies (eg, culinary sensory impressions (eg, light, refreshing and solid)), culinary genres (eg, Japanese, Western and Chinese), and recommended dishes. It may contain information about at least one of the ingredients desired to be used.

FIG. 4A is a diagram conceptually showing a plurality of cooking records R1 stored in the cooking information storage unit 35. FIG. 4B is a diagram conceptually showing typical examples of information and data included in each dish record R1.

The food information storage unit 35 stores a plurality of food records R1 for each of the plurality of dishes that are candidates for recommendation. Basically, one cooking record R1 corresponds to one recommended candidate dish, and the same number of cooking records R1 as the number of recommended candidate dishes are stored in the cooking information storage unit 35. Although only five cooking records R1 (that is, first cooking records R1-1 to fifth cooking records R1-5) are shown in FIG. 4A, the number of cooking information storage units 35 is actually larger than five. The cooking record R1 of the above may be stored.

Each of the plurality of cooking records R1 includes presentation information J1 and basic cooking specific information J2 as shown in FIG. 4B. Basic dish-specific information J2 includes a plurality of dish-specific data representing the properties of the corresponding dish. Specifically, the basic dish-specific information J2 includes material information J2-1 indicating the constituent materials of the corresponding dish and characteristic information J2-2 indicating unique information other than the constituent materials of the corresponding dish. The presentation information J1 is information on dishes intended to be presented to the target registered user. Specifically, the presentation information J1 includes food identification information J1-1, which is information for specifying the corresponding dish, and a dish indicating the characteristics of the corresponding dish (for example, the characteristic that is required to be presented to the user). Includes characteristic information J1-2. The food specific information J1-1 and the food characteristic information J1-2 may be based on at least partially common data. For example, the allergy information of the corresponding dish may be included in both the dish specific information J1-1 and the dish characteristic information J1-2.

The presentation information J1 (cooking specific information J1-1 and cooking characteristic information J1-2) and the basic cooking specific information J2 (material information J2-1 and characteristic information J2-2) are not limited, but typically the following information is provided. Can include. That is, the dish specific information J1-1 contains the name of the dish, the image of the dish, and the amount of important and / or typical nutritional components contained in the dish (for example, calorie, carbohydrate, protein, lipid and sodium). May include information on at least one of the guidelines. Cooking characteristic information J1-2 refers to recipes, cooking efficacy, and nutritional components that can be contained in cooking (for example, nutritional components other than those represented as cooking specific information J1-1 (for example, various vitamins)). It may contain information about at least one. Material information J2-1 includes information about some or all of the ingredients that make up a dish. Characteristic information J2-2 is a basic cooking method (eg, unheated, steamed, Stirring, stewing and oiling, etc.), necessary cooking utensils, necessary preparations, cooking trends (eg, culinary sensory impressions (eg, light, refreshing and solid)), and cooking genres (eg, Japanese, Western). And Chinese style, etc.) can contain information about at least one of them.

The recommendation system 10 has a user-related information acquisition unit 15 (see FIG. 2). The user-related information acquisition unit 15 receives the recommendation input information J0 input by the target registered user, and acquires the input user-related information associated with the recommendation input information J0 based on the recommendation input information J0. The input user-related information is composed of one or more user-related data. For example, the input user-related information J3 may include one or more corresponding words as user-related data, and may also include a weight (evaluation degree (scale)) of each user-related data. ..

The user-related information acquisition unit 15 of the present embodiment includes the user-related information processing unit 20 and the user-related information storage unit 36. In the example shown in FIG. 2, the user-related information processing unit 20 and the user-related information storage unit 36 are provided separately via the network 1, but may be provided integrally without the network 1. , The recommendation device 11 may have a user-related information storage unit 36.

FIG. 5A is a diagram conceptually showing a plurality of status records R2 stored in the user-related information storage unit 36. FIG. 5B is a diagram conceptually showing typical examples of information and data included in each status record R2.

The user-related information storage unit 36 stores a plurality of status records R2 for each of various situations. Basically, one status record R2 corresponds to one situation, and the same number of status records R2 as the number of situations assumed by the recommendation system 10 (recommendation device 11) are stored in the user-related information storage unit 36. ing. Although only five status records R2 (that is, first status records R2-1 to fifth status records R2-5) are shown in FIG. 5A, the number of user-related information storage units 36 is actually larger than five. The number status record R2 may be stored.

Each of the plurality of status records R2 includes input user-related information J3 and basic status information J4. The basic status information J4 is defined based on the reference data (that is, the data related to the status) common to the status input information J0-1 (see FIG. 3) of the recommendation input information J0. The input user-related information J3 is associated with the correspondence basic status information J4, and is composed of a plurality of types of data determined based on the correspondence basic status information J4.

The basic status information J4 is based on data on a situation that may be input by a registered user (that is, data on a situation that can be included in the status input information J0-1), but data on a situation that is not input by a registered user. Can also be included. For example, the basic status information J4 may include data that is not input by the registered user, such as the expected temperature and weather in the situation where the food is served. Data related to the situation (expected temperature, weather, etc.) that is not input by the registered user can be acquired by any method, and may be acquired via an information communication network such as the Internet. The data relating to the situation referred to here may include data indicating the situation itself, or may include data derived from the situation (for example, data indicating the degree of characteristics representing the situation). Basic status information J4 is, for example, season, expected temperature, expected weather, period that can be used for preparation, time that can be used for cooking, whether or not to cook at home, whether or not to eat at home, degree of hunger, degree of fatigue. Of the contents of other meals from waking up, other meals from that meal to falling asleep, and the nature of the dinner party when there are other eaters (for example, birthday party, consolation party, home entertainment and children's party) May contain information about at least one of. The input user-related information J3 may include, for example, one or more data for evaluating the correspondence status (that is, the correspondence basic status information J4). Input user-related information J3 is, for example, a cooking pattern suitable for the season (for example, pot dishes in winter, chilled noodles in summer, etc.), a cooking pattern (for example, breakfast, lunch, dinner, party, banquet, etc.), It may contain information about at least one of the number of types of ingredients, the volume of the main dish, the degree of willingness to shop, the cooking pattern, the difficulty of cooking and the degree of willingness to clean up.

The user-related information processing unit 20 is a status record R2 including basic status information J4 that conforms to the status input information J0-1 from among a plurality of status records R2 stored in the user-related information storage unit 36. Determine the record. Then, the user-related information processing unit 20 can associate the corresponding input user-related information, which is the input user-related information J3 included in the corresponding status record, with the status input information J0-1.

"Conformity" here does not necessarily require perfect matching between comparison targets, and cases with relatively high similarities and commonalities can also correspond to cases of "conformity".

The recommendation system 10 has a user-specific information acquisition unit 16 (see FIG. 2). The user-specific information acquisition unit 16 stores a plurality of user conversion information defined for each of the plurality of registered users. Since each user conversion information is determined according to the preference of the corresponding registered user, the two or more user conversion information stored in the user-specific information acquisition unit 16 does not necessarily match each other. The user-specific information acquisition unit 16 is input user-related information J3 (that is, corresponding input user-related) acquired by the user-related information acquisition unit 15 based on the user conversion information defined for the target registered user among the plurality of user conversion information. Information) to obtain information specific to the corresponding dish. The corresponding dish-specific information is composed of a plurality of dish-specific data associated with the input user-related information J3.

The user-specific information acquisition unit 16 of the present embodiment includes the user-specific information processing unit 21 and the conversion information storage unit 37. In the example shown in FIG. 2, the user-specific information processing unit 21 and the conversion information storage unit 37 are separately provided via the network 1, but may be integrally provided without the network 1. The recommendation device 11 may have a conversion information storage unit 37. The conversion information storage unit 37 stores a plurality of user conversion information defined for each of the plurality of registered users. The user-specific information processing unit 21 obtains the corresponding dish-specific information from the input user-related information J3 acquired by the user-related information acquisition unit 15 based on the user conversion information defined for the target registered user among the plurality of user conversion information. get.

Corresponding dish-specific information (reference numeral "J6" shown in FIGS. 6C and 7B described later) is reference data (that is, dish-specific) common to basic dish-specific information J2 (see FIG. 4B) stored in the dish information storage unit 35. It is determined based on the data) and is associated with the input user-related information J3. The correspondence between the situation and the optimal food can vary from registered user to registered user. For example, even under the same circumstances, the tendency of preferred dishes may vary from registered user to registered user. On the other hand, even for the same registered user, the tendency of preferred dishes can change depending on the situation. The difference in the "optimal cooking tendency according to the situation" among the registered users is compensated by the user conversion information defined for each registered user. That is, by using the user conversion information defined for each registered user when deriving the corresponding dish-specific information J6 from the input user-related information J3, the "optimal dish according to the situation" can be selected according to each user's preference tendency. It can be selected with high accuracy.

Corresponding cooking-specific information J6 includes, for example, some or all of the ingredients that make up a dish, basic cooking methods (for example, unheated, steamed, fried, stewed and oiled), necessary cooking utensils, and necessary preparations. It may include information about at least one of the culinary trends (eg, the sensory impression of the dish (eg, light, refreshing and solid, etc.)) and the culinary genre (eg, Japanese, Western and Chinese).

The specific algorithm that the user-specific information acquisition unit 16 can use to derive the corresponding dish-specific information J6 is not limited. Typically, the user-specific information acquisition unit 16 can acquire the corresponding dish-specific information from the input user-related information J3 by using the determinant, but it is not always necessary to use the determinant.

6A to 6C are diagrams for explaining a form of acquiring the corresponding dish-specific information J6 from the input user-related information J3 using the determinant. FIG. 6A is a diagram conceptually showing a plurality of user conversion records R3 stored in the conversion information storage unit 37. FIG. 6B is a diagram conceptually showing a typical example of transformation matrix element data included in each user conversion record R3. FIG. 6C is a diagram illustrating a determinant for acquiring the corresponding dish-specific information J6 from the input user-related information J3.

In the form shown in FIGS. 6A to 6C, each of the plurality of user conversion information J5 includes data of a plurality of conversion matrix elements which are constituent elements of the matrix. The plurality of user conversion records R3 stored in the conversion information storage unit 37 correspond to the plurality of user conversion information J5, respectively, and the user conversion record R3 and the user conversion information J5 correspond 1: 1. Further, each user conversion record R3 is assigned to a corresponding registered user, and the user conversion record R3 and the registered user correspond 1: 1. Each user conversion record R3 contains data of a plurality of conversion matrix elements of the corresponding user conversion information J5. The conversion information storage unit 37 stores a plurality of user conversion records R3 (that is, a plurality of user conversion information J5) defined for each registered user. Although only five user conversion records R3 (that is, first user conversion records R3-1 to fifth user conversion records R3-5) are shown in FIG. 6A, in reality, the conversion information storage unit 37 is a registered user. Stores a number of user conversion records R3 according to the number.

As shown in FIG. 6C, the conversion matrix element data (that is, m × n type matrix (m and n are integers of 1 or more)) of the user conversion information J5 defined for the target registered user and the recommendation input of the target registered user. A plurality of dish-specific data (that is, a plurality of dish-specific data) constituting the corresponding dish-specific information J6 by the product of the user-related data (that is, m × 1 type matrix (column vector matrix)) included in the input user-related information J3 obtained based on the information J0. A 1 × n type matrix (row vector matrix)) can be calculated. By using the determinant in this way, the corresponding dish-specific information J6 can be obtained without matching between the input user-related information J3 and the information stored in the database (see FIGS. 7A and 7B described later). Can be obtained.

7A and 7B are diagrams for explaining a form of acquiring the corresponding dish-specific information J6 from the input user-related information J3 without using the determinant. FIG. 7A is a diagram conceptually showing a plurality of user conversion records R4 stored in the conversion information storage unit 37. FIG. 7B is a diagram conceptually showing typical examples of information and data included in each user conversion record R4.

In the form shown in FIGS. 7A and 7B, each of the plurality of user conversion information J5 includes a plurality of user conversion records R4 (first user conversion record R4-1 to fifth user conversion record R4-5, etc.). The conversion information storage unit 37 stores a plurality of user conversion records R4 of the plurality of user conversion information J5. Although only two user conversion information J5 (that is, first user conversion information J5-1 and second user conversion information J5-2) are shown in FIG. 7A, in reality, the conversion information storage unit 37 is a registered user. Stores a number of user conversion information J5 according to the number. Further, although each user conversion information J5 shown in FIG. 7A includes three user conversion records R4, in reality, each user conversion information J5 may include a number of user conversion records R4 larger than three. The number of user conversion records R4 possessed by each user conversion information J5 is not limited, and the number of user conversion records R4 may be different between the user conversion information J5.

Each user conversion record R4 includes related dish-specific information J6'and basic user-related information J7 associated with the related dish-specific information J6'. In each user conversion record R4, the related dish-specific information J6'is composed of two or more dish-specific data, and the basic user-related information J7 is composed of one or more user-related data. The basic user-related information J7 is defined based on reference data (that is, user-related data) common to the input user-related information J3 (see FIG. 5B). The related dish-specific information J6'is determined based on the standard data (that is, the dish-specific data) common to the basic dish-specific information J2 (see FIG. 4B) stored in the dish information storage unit 35.

The user-specific information processing unit 21 compares the input user-related information J3 with the basic user-related information J7, and creates a corresponding user conversion record that is a user conversion record R4 including the basic user-related information J7 that matches the input user-related information J3. , It is determined from a plurality of user conversion records R4 stored in the conversion information storage unit 37. At this time, the basic user-related information J7 included in the plurality of user conversion records R4 included in the user conversion information J5 assigned to the target registered user is used for comparison with the input user-related information J3. Then, the user-specific information processing unit 21 acquires the related dish-specific information J6'included in the corresponding user conversion record as the corresponding dish-specific information J6.

The presentation information output unit 22 shown in FIG. 2 refers to the food information storage unit 35 and compares the corresponding food-specific information J6 with the basic food-specific information J2. The presentation information output unit 22 has one or more corresponding cooking records which are cooking records R1 including basic cooking specific information J2 conforming to the corresponding cooking specific information J6 among the plurality of cooking records R1 stored in the cooking information storage unit 35. decide. Then, the presentation information output unit 22 acquires and outputs the presentation information J1 (particularly the food specific information J1-1) included in the one or more corresponding food records.

In the recommendation system 10 shown in FIG. 2, the presentation information J1 output from the presentation information output unit 22 is transmitted to the client terminal 4 operated by the target registered user via the network 1, and the user output unit of the client terminal 4 is transmitted. It is presented to the target registered user via 42.

The selection information acquisition unit 23 indicates the selection food information indicating the food selected by the target registered user via the user input unit 41 based on the presentation information J1 (particularly the food identification information J1-1) output by the presentation information output unit 22. Is received from the client terminal 4 via the network 1. The selection information acquisition unit 23 acquires the presentation information J1 (particularly the food characteristic information J1-2) included in the food record R1 related to the food selected by the target registered user based on the received food selection information. The presentation information J1 (particularly, cooking characteristic information J1-2) is transmitted from the selection information acquisition unit 23 to the client terminal 4 via the network 1, and is presented to the target registered user via the user output unit 42 of the client terminal 4. Will be done.

Further, the selection information acquisition unit 23 can also acquire the selection food-specific information, which is the basic food-specific information J2 included in the food record R1 related to the food selected by the target registered user, based on the selection food information.

The user information update unit 24 updates the user conversion information J5 defined for the target registered user and stored in the user-specific information acquisition unit 16 (conversion information storage unit 37) based on the selected dish-specific information.

For example, when each user conversion record R3 (that is, each user conversion information J5) includes transformation matrix element data defined for the corresponding user (see FIGS. 6A to 6C), the user information update unit 24 is included in the user conversion information J5. Part or all of the plurality of transformation matrix element data to be updated is updated, and the user conversion information J5 including the updated data of the plurality of transformation matrix elements is stored in the conversion information storage unit 37 (user-specific information acquisition unit 16). It may be stored in the conversion record R3.

On the other hand, when the corresponding dish-specific information is acquired without using the determinant (see FIGS. 7A and 7B), the user information update unit 24 is newly determined based on the selected dish-specific information and the input user-related information J3. The user conversion record R4 may be stored in the conversion information storage unit 37 (user-specific information acquisition unit 16) so as to be included in the user conversion information J5 defined for the target registered user.

Further, the user information update unit 24 relates to one or more interrelated cooking-specific data commonly included among two or more user conversion records among the plurality of user conversion records R4 with respect to each of the plurality of user conversion information J5. And a new user conversion record R4 having one or more user-related data may be stored in the conversion information storage unit 37 (user-specific information acquisition unit 16) so as to be included in the corresponding user conversion information J5.

The default information storage unit 39 stores a plurality of default user information associated with each of the plurality of type patterns based on preferences. The plurality of default user information is usually prepared by the side (that is, the provider) that operates the recommendation system 10.

The typology information acquisition unit 25 acquires typology information about the new user, which indicates a typology pattern according to the preference of the new user among the plurality of typology patterns. The existing registered users are classified into one of a plurality of typological patterns. That is, all the registered users are associated with any of the typology patterns, and the information indicating the typology pattern for each registered user is stored as typology information in the default information storage unit 39.

The default information processing unit 26 acquires the default user information associated with the type pattern according to the preference of the new user from the default information storage unit 39 based on the type information about the new user. The default information processing unit 26 stores the acquired user conversion information based on the default user information in the conversion information storage unit 37 (user-specific information acquisition unit 16) as the user conversion information J5 defined for the new user.

The default information update unit 27 updates a plurality of default user information stored in the default information storage unit 39 based on the selected dish-specific information. For example, the default information updating unit 27 can update a plurality of default user information stored in the default information storage unit 39 based on the plurality of user conversion information J5 updated based on the selected dish-specific information. ..

The typology information storage unit 38 stores typology information indicating a typology pattern in which each of the plurality of registered users is classified according to their tastes. The default information updating unit 27 may specify two or more users who are classified into the same type pattern based on the type information stored in the type information storage unit 38. Then, the default information update unit 27 converts each of the plurality of default user information stored in the default information storage unit 39 into the user conversion information J5 defined for two or more users classified into the corresponding type patterns. It may be updated based on.

8A and 8B are diagrams for explaining an example of the default information storage unit 39 used in one form of acquiring the corresponding dish-specific information by using the determinant. FIG. 8A is a diagram conceptually showing a plurality of default records R5 stored in the default information storage unit 39. FIG. 8B is a diagram conceptually showing typical examples of information and data included in each default record R5.

In the form shown in FIGS. 8A and 8B, each of the plurality of user conversion information includes data of a plurality of transformation matrix elements which are a plurality of elements constituting the matrix. Each of the plurality of default records R5 in the default information storage unit 39 corresponds to the plurality of default user information J8. One default user information J8 is assigned to each default record R5, and data of a plurality of transformation matrix elements included in the corresponding default user information J8 is stored. Therefore, each default record R5 stored in the default information storage unit 39 can be used as each user conversion record R3 stored in the conversion information storage unit 37 shown in FIG.

In this case, the default information update unit 27 includes data of a plurality of conversion matrix elements of two or more matrices defined for each of two or more registered users classified into the same type pattern, and the two or more users. Default user information associated with the classified pattern pattern Based on the comparison result with the data of a plurality of default matrix elements included in J8, the two or more users are associated with the classified pattern pattern. The data of a plurality of default matrix elements included in the default user information J8 can be updated.

9A and 9B are diagrams for explaining an example of the default information storage unit 39 used in one form of acquiring the corresponding dish-specific information without using the determinant. FIG. 9A is a diagram conceptually showing a plurality of default records R6 stored in the default information storage unit 39. FIG. 9B is a diagram conceptually showing typical examples of information and data included in each default record R6.

In the form shown in FIGS. 9A and 9B, each of the plurality of default user information J8 includes a plurality of default records R6 (first default record R6-1 to fifth default record R6-5, etc.). The default information storage unit 39 stores a plurality of default records R6 included in the plurality of default user information J8. Although only two default user information J8 (that is, the first default user information J8-1 and the second default user information J8-2) are shown in FIG. 9A, in reality, the default information storage unit 39 has a type pattern. Stores a number of default user information J8 according to the number. Further, although each default user information J8 shown in FIG. 9A includes three default records R6, in reality, each default user information J8 may include a number of default records R6 more than three. As described above, each default user information J8 has a plurality of default records R6, but the number of default records R6 possessed by each default user information J8 is not limited, and the number of default records R6 differs between the default user information J8s. You may be.

Each of the plurality of default records R6 includes default-corresponding food-specific information J9 and default basic user-related information J10 associated with the default-corresponding food-specific information J9. In each default record R6, the default-corresponding dish-specific information J9 is composed of two or more dish-specific data, and the default basic user-related information J10 is composed of one or more user-related data. Therefore, each of the default user information J8 stored in the default information storage unit 39 (that is, a bundle of a plurality of default records R6 constituting each default user information J8) is stored in the conversion information storage unit 37 shown in FIG. 7A. It can be used as user conversion information J5 (that is, a bundle of a plurality of user conversion records R4 constituting each user conversion information J5).

In this case, the default information update unit 27 is related to the related food-specific information and the basic user-related information that are related to each other among the two or more user conversion information J5 defined for each of the two or more users classified into the same type pattern. Based on the common user conversion record, which is the user conversion record in which the information is common, the default user information J8 associated with the type pattern in which the two or more users are classified can be updated.

Various information can be stored in the user information storage unit 40. For example, the registered user's ID information, password, history information, and other information may be stored in the user information storage unit 40. For example, information that associates the recommendation input information J0 input to the client terminal 4 via the user input unit 41 with the dish specific information J1-1 output to the user output unit 42 in response to the recommendation input information J0. , May be stored in the user information storage unit 40. Further, information for associating the dish specific information J1-1 output to the user output unit 42 with the selected food information input to the client terminal 4 via the user input unit 41 is stored in the user information storage unit 40. May be good. Further, the information that associates the recommendation input information J0 input to the client terminal 4 via the user input unit 41 with the selected cooking information input to the client terminal 4 via the user input unit 41 is the information stored in the user information storage unit 40. It may be accumulated in.

The recommendation device 11 (for example, the user-related information acquisition unit 15, the user-specific information acquisition unit 16, the presentation information output unit 22 and / or the selection information acquisition unit 23) is used for writing data to and reading data from the user information storage unit 40. It may be done by the client terminal 4 and / or other device. The user information storage unit 40 may be composed of a single database (see FIG. 2) or a plurality of databases (not shown). Further, the database constituting the user information storage unit 40 may include another storage unit (see FIG. 2), or may not include the other storage unit.

The configuration of the recommendation system 10 shown in FIG. 2 described above is only an example, and the recommendation system 10 may have another configuration.

For example, the recommendation system 10 shown in FIG. 2 includes four databases 31 to 34, one recommendation device 11, and one client terminal 4, and the number of these devices included in the recommendation system 10 is as shown in FIG. Not limited to. For example, a large number of client terminals 4 may be included in the recommendation system 10.

Further, the specific device that realizes each functional configuration shown in FIG. 2 is not limited. For example, two or more storage units included in the two or more databases shown in FIG. 2 may be included in a single database device. Further, the plurality of functional configurations included in the recommendation device 11 of FIG. 2 may be realized by two or more devices (for example, two or more information processing servers 2). Further, each functional configuration shown in FIG. 2 may be realized by the cooperation of two or more devices. Further, the recommendation device 11 and / or the client terminal 4 may have one or more storage units shown in FIG. Further, the databases 31 to 34 and / or the client terminal 4 may have one or more functional configurations of the recommendation device 11 shown in FIG. Further, another device may have one or more functional configurations of the client terminal 4 shown in FIG. For example, a device other than the client terminal 4 having the user input unit 41 may have the user output unit 42.

For example, the recommendation device 11 includes at least a user-related information processing unit 20, a user-specific information processing unit 21, a user information update unit 24, a type information acquisition unit 25, and a default information processing unit 26 among the functional configurations shown in FIG. Moreover, it may be connected to the cooking information storage unit 35, the conversion information storage unit 37, and the default information storage unit 39 via the network 1. Further, the recommendation device 11 may have another functional configuration.

Further, the information processing method for the above-mentioned recommendation system 10 may include, for example, the following steps (procedures). That is, the information processing method is new based on the step of acquiring the typological information about the new user indicating the typological pattern according to the preference of the new user among the plurality of typological patterns based on the preference, and the typological information about the new user. The step of acquiring the default user information J8 defined for the user of the above and storing the user conversion information J5 based on the acquired default user information J8 in the user-specific information acquisition unit 16 as the user conversion information J5 defined for the new user. , Can be included. More specifically, the information processing method is based on the type information about the new user, and the preference of the new user is obtained from the default information storage unit 39 that stores a plurality of default user information associated with each of the plurality of type patterns. It can include a step of acquiring the default user information of the type pattern according to.

The information processing method for the recommendation system 10 may be embodied in the form of a program for causing a computer to execute each processing step (processing procedure), or the computer readable in which such a program is recorded. It may be embodied in the form of a recording medium (particularly a non-transitory recording medium).

Next, a specific example of the recommendation method performed by the recommendation system 10 and a specific example of the information processing method related to the recommendation method will be described.

[Input of recommendation input information-output of recommended candidate dishes]
FIG. 10 is a flow chart showing an example of the processing flow related to "input of recommendation input information J0-output of food specific information J1-1" and "selection of recommended candidate food-output of food characteristic information J1-2". ..

The target registered user inputs the recommendation input information J0 (see FIG. 3) to the client terminal 4 via the user input unit 41. At this time, the client terminal 4 (for example, a terminal control unit (not shown) may request input of ID information or a password in order to identify whether or not the user using the client terminal 4 is an appropriate registered user. The client terminal 4 transmits the input recommendation input information J0 to the user-related information acquisition unit 15 (user-related information processing unit 20) of the recommendation device 11 via the network 1.

The user-related information acquisition unit 15 (user-related information processing unit 20) acquires the input user-related information J3 (corresponding input user-related information; see FIG. 5B) associated with the recommendation input information J0, and the acquired input user-related information J3. Is transmitted to the user-specific information acquisition unit 16 (user-specific information processing unit 21). The user-specific information acquisition unit 16 acquires the corresponding food-specific information J6 from the input user-related information J3 (corresponding input user-related information), and transmits the acquired corresponding food-specific information J6 to the presentation information output unit 22. Then, the presentation information output unit 22 determines one or more corresponding food records that match the corresponding food-specific information J6, and outputs the food specific information J1-1 (see FIG. 4B) included in the one or more corresponding food records to the user output unit. Output to 42 (client terminal 4).

The target registered user corresponds to one or more dishes (that is, one or more corresponding dish records) recommended by the recommendation device 11 based on the dish identification information J1-1 output to the user output unit 42 in this way. 1 or more dishes) can be confirmed.

<First typical example>
The user-related information processing unit 20 of the user-related information acquisition unit 15 selects the recommendation input information J0 (particularly the status input information J0) from the basic status information J4 of the plurality of status records R2 stored in the user-related information storage unit 36. You may select the basic situation information J4 that is most suitable for -1). In this case, the selected dish information J20 may acquire the input user-related information J3 associated with the selected basic situation information J4 as the input user-related information J3 associated with the recommendation input information J0.

In this case, the input user-related information J3 associated with the recommendation input information J0 is used by the user-specific information acquisition unit 16 (user-specific information processing unit 21), and the corresponding dish-specific information J6 is acquired (see FIGS. 6A to 7B). ).

<Second typical example>
In the recommendation system 10 of the first typical example, a plurality of status records R2 (that is, input user-related information J3 and basic status information J4) stored in the user-related information storage unit 36 are used, but the status record R2 is It does not have to be used.

The user-related information acquisition unit 15 may have a configuration other than the combination of the user-related information processing unit 20 and the user-related information storage unit 36. The user-related information acquisition unit 15 may derive the input user-related information J3 from the recommendation input information J0 based on an arbitrary method.

For example, the user-related information acquisition unit 15 may derive the input user-related information J3 by performing a natural language analysis of the recommendation input information J0 represented by the natural language. Any algorithm can be used for natural language analysis. As an example, the user-related information acquisition unit 15 identifies a plurality of words and phrases included in the recommendation input information J0, specifies user-related data to which each word and phrase is associated, and inputs input user-related information J3 based on the specified user-related data. Can be derived. It is possible to specify the user-related data to which each word is associated by any method. For example, the user-related information acquisition unit 15 may specify the user-related data to which each word is associated by referring to a dictionary database (not shown) prepared in advance. Derivation of such input user-related information J3 may be performed based on a deep learning model.

Alternatively, the user-related information acquisition unit 15 transmits data relating to a plurality of candidates for the recommendation input information J0 to the client terminal 4 via the network 1, and transmits the plurality of candidates for the recommendation input information J0 to the user output unit 42. It may be presented to the target registered user via. In this case, the target registered user may use the user input unit 41 to select and input the optimum candidate from the plurality of presented candidates as the recommendation input information J0. In this case, the target registered user can easily input the recommendation input information J0 to the client terminal 4. The recommendation input information J0 selected and input by the target registered user in this way is sent from the client terminal 4 to the user-related information acquisition unit 15 (recommendation device 11) via the network 1. The user-related information acquisition unit 15 acquires the input user-related information J3 previously associated with the recommendation input information J0 selected and input by the target registered user, and transfers the acquired input user-related information J3 to the user-specific information acquisition unit 16. Can be sent. The correspondence information between the plurality of candidates of the recommendation input information J0 and the input user-related information J3 associated with each candidate in advance is stored in the user-related information acquisition unit 15 itself (for example, the user-related information storage unit 36). It may be stored in another storage unit.

Further, at least a part of the data included in the recommendation input information J0 input by the target registered user (particularly the data related to the situation included in the status input information J0-1) is used by the user-specific information acquisition unit 16. It may match the type of data (that is, user-related data) of the above-mentioned input user-related information J3. In this case, at least a part of the recommendation input information J0 (particularly the status input information J0-1) can be directly used as the input user-related information J3, and the user-related information acquisition unit 15 can be used by the user input unit 41 (especially the status input information J0-1). The recommendation input information J0 provided via the client terminal 4) can be acquired as the input user-related information J3. The user-specific information acquisition unit 16 can acquire the corresponding dish-specific information J6 from the input user-related information J3 including at least a part of the recommendation input information J0.

<Third typical example>
Corresponding dish-specific information J6 is information derived based on the situation input information J0-1 in the recommendation input information J0. In order to determine the presentation information J1 (particularly the food specific information J1-1), only the corresponding food-specific information J6 based on the situation input information J0-1 may be used, but other inputs included in the recommendation input information J0. Information J0-2 may be used in conjunction with corresponding dish-specific information J6.

For example, the target registered user can input other input information J0-2 (recommendation input information J0) based on data on the foodstuff to be eaten together with the status input information J0-1 (that is, information on the situation) in the user input unit 41. You may input to the client terminal 4 via. In this case, the corresponding dish-specific information J6 can be derived from the situation input information J0-1 in the same manner as described above. The presentation information output unit 22 can receive other input information J0-2 and corresponding food-specific information J6. Then, the presentation information output unit 22 combines the combination of the other input information J0-2 and the corresponding food-specific information J6 with the basic food-specific information J2 (that is, the material information J2-1 and the characteristic information) stored in the food information storage unit 35. By comparing with J2-2), the corresponding presentation information J1 (particularly cooking specific information J1-1) may be acquired.

Alternatively, the other input information J0-2 is determined by an arbitrary device (for example, the recommendation device 11) based on the reference data common to the basic dish specific information J2 (that is, the material information J2-1 and the characteristic information J2-2). It may be converted into the derived information to be obtained. In this case, the presentation information output unit 22 stores the combination of the derived information and the corresponding food-specific information J6 in the food information storage unit 35 as the basic food-specific information J2 (material information J2-1 and characteristic information J2-2). By comparing with, the corresponding presentation information J1 (particularly cooking specific information J1-1) may be acquired.

The food-specific data constituting the corresponding food-specific information J6 and the related food-specific information J6'includes data other than the ingredients, but may include data related to the ingredients themselves. In order to determine the food specific information J1-1 corresponding to the recommendation input information J0, the data regarding the foodstuff itself contained in the corresponding food specific information J6 and the data regarding the foodstuff itself contained in the other input information J0-2 are unique to the basic food. It may be compared with the material information J2-1 of the information J2. Further, in order to determine the dish specific information J1-1 corresponding to the recommendation input information J0, the data related to the ingredients other than the ingredients included in the corresponding dish-specific information J6 may be compared with the characteristic information J2-2 of the basic dish-specific information J2. ..

[Output of recommended candidate dishes-Input of selected dishes-Output of dish characteristics information]
The target registered user can further select and determine a desired dish based on the dish specific information J1-1 presented via the user output unit 42. That is, as shown in FIG. 10, the target registered user can input the selected food information J20 indicating the desired food to the client terminal 4 via the user input unit 41. The client terminal 4 transmits the selected food information J20 input in this way to the selection information acquisition unit 23 of the recommendation device 11 via the network 1. The selection information acquisition unit 23 acquires the food characteristic information J1-2 included in the food record R1 related to the food selected by the target registered user based on the selected food information J20, and the food characteristic information J1-2 (see FIG. 4). Is output to the client terminal 4. The client terminal 4 outputs the cooking characteristic information J1-2 received from the selection information acquisition unit 23 to the user output unit 42.

The target registered user can confirm the cooking characteristic information J1-2 (for example, a recipe) output to the user output unit 42 in this way.

[Registration of user conversion information for new users]
FIG. 11 is a flow chart showing an example of a flow of processing for registering the user conversion information J5 of a new user.

In order for a new user to use the recommendation system 10, it is necessary to register the unique user conversion information J5 (see FIGS. 6A to 6C and 7A) defined for the new user.

Specifically, the type information acquisition unit 25 of the recommendation device 11 outputs the type question information J30 to the user output unit 42 of the client terminal 4 via the network 1. The user output unit 42 presents a question based on the typology question information J30 to a new user, and prompts the new user to input an answer to the question. The new user inputs the answer to the question presented to the user output unit 42 to the client terminal 4 via the user input unit 41. The client terminal 4 transmits the type answer information J31 based on the answer input by the new user to the type information acquisition unit 25 of the recommendation device 11 via the network 1.

Based on the typology answer information J31 sent from the client terminal 4, the typology information acquisition unit 25 obtains the typology information J32 relating to the new user indicating the typology pattern according to the preference of the new user among the plurality of typology patterns. decide. Then, the type information acquisition unit 25 transmits the determined new user type information J32 to the default information processing unit 26.

The default information processing unit 26 reads the default user information J8 associated with the type pattern indicated by the type information J32 related to the new user sent from the type information acquisition unit 25 from the default information storage unit 39, and reads the default user information J8. Is transmitted to the user-specific information acquisition unit 16. The user-specific information acquisition unit 16 stores user conversion information J5 defined for a new user based on the default user information J8 sent from the default information processing unit 26.

The typology information J32 determined for the new user is stored in the typology information storage unit 38. For example, the default information processing unit 26 may write the type information J32 of the new user in the type information storage unit 38, or the type information acquisition unit 25 may write the type information J32 of the new user in the type information storage unit 38. When the type information acquisition unit 25 writes the type information J32 of the new user in the type information storage unit 38, the default information processing unit 26 may acquire the type information J32 of the new user from the type information storage unit 38.

The type question information J30 and the type answer information J31 may have contents directly related to the default user information J8 (for example, default-corresponding cooking-specific information J9 and default basic user-related information J10), or directly. May have irrelevant content. The type question information J30 and the type answer information J31 may include contents related to information other than the default user information J8. That is, the contents of the type question information J30 and the type answer information J31 are not limited and may be arbitrary contents. For example, the typology question information J30 and the typology answer information J31 may be based on a screening format. For example, as described in the paper "Development of a Measurement of the Motives Underlying the Selection of Food: the Food Choice Questionnaire" (Appetite, 1995, 25, pp. 267-284, Academic Press Limited) (for example, Table 1). Type question information J30 and type answer information J31 can be created based on various viewpoints, and the type question information J30 may include a plurality of questions designed for each factor.

<Cluster analysis>
The typology information J32 can be determined based on, for example, a discriminant function derived from cluster analysis.

For example, first, in order to determine a plurality of typological patterns that are prerequisites, a plurality of human beings called panelists are classified into a plurality of clusters. Each of the multiple clusters corresponds to multiple typological patterns. The specific method of cluster analysis for classifying each of the plurality of panelists into the corresponding cluster is not limited, and the cluster analysis may be performed based on any appropriate method.

Then, based on the result of the cluster analysis, a discriminant function for assigning a new user to the corresponding typology pattern is derived based on the so-called discriminant analysis (Discriminant Analysis). The specific method of the discriminant analysis is not limited, and the discriminant analysis may be performed based on any appropriate method. For example, it is possible to derive a discriminant function based on discriminant analysis from the answer results obtained from the panelists so that the panelists assigned to a certain typology pattern (that is, the corresponding clusters) are classified into the certain typology pattern. The typology question information J30 is determined based on the discriminant function obtained in this way. The typology information acquisition unit 25 can acquire the typology information J32 of a new user by applying the typology answer information J31 to the discrimination function obtained in this way.

It is also possible to determine the default user information J8 for each type pattern based on the results of the cluster analysis. For example, in order to find out what tags (that is, data) are associated with each dish for each cluster (that is, each type pattern), show all panelists a list of possible tag words and show each dish with each dish. Get answer information about the degree of match with the tag word from all panelists. By analyzing the "answer information regarding the degree of matching between each dish and the tag word" obtained in this way for each cluster together with the information on the ingredients and cooking patterns for each dish, the default user information for each type pattern. It is possible to determine J8.

For example, a language expression (tag word) that is a candidate for a tag is given to each panelist, a large number of menus (that is, recommended candidate dishes) are presented to each panelist, and a language expression that is considered to match each menu is selected for each panelist. You may ask each panelist to evaluate the degree of match for each menu for each language expression, and each panelist to evaluate whether or not they like each menu. Based on the match degree data obtained by the survey, information on the match degree between each menu and each tag can be obtained for each cluster (that is, with respect to one or more panelists classified into each cluster). The collection process and analysis of such "answer information regarding the degree of matching between each dish and the tag word" may be performed manually, may be performed by the recommendation system 10, or may be performed by a system other than the recommendation system 10. May be done by.

It is preferable that the language expression that is a candidate for the tag is presented to each panelist without being distinguished into cooking-specific data and user-related data, and is randomly presented to each panelist. For the same menu, the linguistic expression considered to match by all the respondents may be treated as cooking-specific data (A tag: basic cooking-specific information J2 stored in the cooking information storage unit 35) associated with the menu. For the same menu, the language expression that matches or does not match (or the degree of match differs) depending on the panelist is the user-related data that will be used for conversion to the corresponding dish-specific information J6 (B tag: input user-related information J3). It may be treated as a candidate for. For example, if all the panelists or more than a certain percentage of panelists have the impression that the first dish is "eating", the dish-specific data of the first dish is said to be "eating". Data may be included. On the other hand, if only some panelists (that is, panelists with a ratio lower than a predetermined ratio) have the impression that the second dish is "eating", the default user information J8 of each type pattern described later. The user-related data that can be converted into the constituent ingredients and cooking patterns of the second dish may include the data that "there is a response to eating".

In this way, cooking-specific data (basic cooking-specific information J2) can be obtained for each menu. The constituent materials and cooking patterns of each dish can be treated as dish-specific data (material information J2-1 and characteristic information J2-2) regardless of the answers of each panelist.

In addition, when inquired by user-related data based on linguistic expressions that are considered to match the menu evaluated by two or more panelists belonging to a certain cluster, the menu is recommended so that the menu is supported. The default user information J8 of the type pattern to be used can be defined.

By integrating and analyzing the response information of multiple panelists belonging to the same cluster, user-related data that contributes to the output of certain cooking-specific data and user-related data that does not contribute to the output of certain cooking-specific data are identified for each cluster (that is, for each type pattern). can do. The default user information J8 may be defined based on the "user-related data contributing to each dish-specific data and the user-related data not contributing" specified in this way.

For example, if one or more dish-specific data are common between the first dish, the third dish, and the fifth dish, the first dish, the third dish, and the first dish of a plurality of panelists belonging to the same cluster. The common user-related data among the answers (user-related data) related to the five dishes can be treated as the user-related data that contributes to the common one or more dish-specific data. For example, when a matrix is used to derive the corresponding dish-specific information J6 (see FIGS. 6A to 6C), among the transformation matrix elements associated with the individual dish-specific data included in the default user information J8, "contribution user-related". The numerical value of the matrix element corresponding to "data" may be set relatively large, and the numerical value of the matrix element corresponding to "user-related data that does not contribute" may be set relatively small. On the other hand, when the matrix is not used for deriving the corresponding dish-specific information J6 (see FIGS. 7A and 7B), the "contribution user-related data" is the "contribution user-related data" for the individual dish-specific data included in the default corresponding dish-specific information J9. User-related data that is associated and does not contribute may not be associated.

As described above, each cluster corresponds to a plurality of typological patterns, and the cluster classification process is a process of grouping a plurality of panelists based on the cluster analysis, but a new user based on a discriminant function or the like. Is different from the typology pattern classification process for classifying into the corresponding typology patterns. That is, grouping a plurality of panelists by the cluster classification process is to determine the panelists assigned to each of the plurality of clusters corresponding to the plurality of typological patterns.

[Update user conversion information]
As described above, the recommendation system 10 determines the food specific information J1-1 to be presented to the target registered user based on the user conversion information J5. The user conversion information J5 defined for each registered user may be updated based on the food information actually selected by the registered user (that is, the selected food information J20). Such updating of the user conversion information J5 may be performed every time the registered user inputs the selected food information J20, for example, when the new selected food information J20 is accumulated to some extent in the user information storage unit 40. It may be done.

FIG. 12 is a flow chart showing an example of the flow of processing for updating the user conversion information J5.

The selection information acquisition unit 23 can receive the selection food information J20 input to the client terminal 4 via the user input unit 41 by the target registered user. However, the method by which the selection information acquisition unit 23 acquires the selection food information J20 is not limited. For example, when the selected food information J20 is stored in the user information storage unit 40, the selection information acquisition unit 23 may read the selected food information J20 from the user information storage unit 40 and acquire it.

The selection information acquisition unit 23 acquires the selection food-specific information J40, which is the basic food-specific information J2 included in the food record R1 related to the food selected by the target registered user based on the received selection food information J20, from the food information storage unit 35. To do. Then, the selection information acquisition unit 23 transmits the acquired selection dish unique information J40 to the user information update unit 24.

The user information update unit 24 acquires the user update information J41 based on the selection dish unique information J40 acquired via the selection information acquisition unit 23. Then, the user information update unit 24 transmits the user update information J41 to the user-specific information acquisition unit 16. The user-specific information acquisition unit 16 updates the user conversion information J5 regarding the target registered user stored in the user-specific information acquisition unit 16 based on the received user update information J41.

The user information update unit 24 can appropriately acquire data and information necessary for performing the update process from other function configuration units as needed.

<Update example when user conversion information J5 is a matrix>
The user information update unit 24 is between the corresponding dish-specific information J6 derived from the recommendation input information J0 of the target registered user and the selected dish-specific information J40 based on the dish specific information J1-1 derived from the recommendation input information J0. Then, cooking-specific data having a difference exceeding a specific threshold (hereinafter, also referred to as "update target cooking-specific data") may be specified.

Next, the user information update unit 24 stores the user conversion information J5 (that is, conversion matrix element data) at that time (that is, the update processing time) of the target registered user in the user information storage unit 40 or the like. "Input user-related information J3 used in the past recommendation processing (that is, input user-related information J3 associated with the recommendation input information J0 input in the past recommendation processing) obtained from the history information (that is, the past log) of ) ”, The corresponding dish-specific information J6 (hereinafter, also referred to as“ virtual corresponding dish-specific information ”) may be acquired. On the other hand, the user information updating unit 24 is obtained from the past history information stored in the user information storage unit 40, "selected food information J20 at the time of past recommendation processing (hereinafter, also referred to as" past selected food information ")". Alternatively, "selection dish specific information J40 at the time of past recommendation processing" may be acquired.

Then, the user information update unit 24 sets the update target dish of "the update target dish-specific data of the virtual corresponding dish-specific information and the basic dish-specific information J2 (that is, the selected dish-specific information J40) of the past selected dish information" for each of the past recommendation processes. The gap between the unique data (hereinafter also referred to as the "past gap"), the latest "corresponding food-specific information J6 associated with the recommendation input information J0, the food-specific data to be updated, and the selected food-specific information J40 to be updated. It may be compared with the deviation from the food-specific data (hereinafter, also referred to as “current deviation”). As a result, each of the past recommendation processes "recommends that the direction of the past deviation and the direction of the present deviation are the same (that is, the positive direction or the negative direction) and the magnitude of the past deviation is larger than the above specific threshold value. "Processing (first pattern past recommendation processing)", "Recommendation processing in which the magnitude of past deviation is less than or equal to the above specific threshold (second pattern past recommendation processing)" and "Direction of past deviation and direction of present deviation It is classified into one of the "recommendation processes (third pattern past recommendation process)" in which the directions are different and the magnitude of the past deviation is larger than the above-mentioned specific threshold value. This classification may be performed on only a part of the past recommendation process, or may be performed on the entire past recommendation process. Regarding the update process of this example, it is not necessary to distinguish between the second pattern past recommendation process and the third pattern past recommendation process as described below. Therefore, the user information updating unit 24 may classify each of the past recommendation processes into the first pattern past recommendation process and the others.

Then, the user information update unit 24 is between the input user-related information J3 used in the past recommendation process classified in the first pattern past recommendation process and the input user-related information J3 used in the latest recommendation process. , One or more user-related data (hereinafter, also referred to as “comparative user-related data”) in which the absolute value of the difference is smaller than a predetermined value and indicates a comparison value or more may be specified. The comparison value used here is a value determined for each user-related data, but is a value larger than "0 (zero)".

Then, the user information update unit 24 and the input user-related information J3 used in the past recommendation processing classified into the second pattern past recommendation processing and the third pattern past recommendation processing with respect to one or more comparison user-related data. , The deviation from the input user-related information J3 used in the latest recommendation processing may be specified. The user information updating unit 24 selects one or more comparison user-related data whose deviation direction in the second pattern past recommendation processing and the third pattern past recommendation processing is different from the deviation direction in the first pattern past recommendation processing. It may be specified as adjustment user-related data. Note that the direction of deviation in the second pattern past recommendation processing and the third pattern past recommendation processing is the same as the deviation direction in the first pattern past recommendation processing. The user-related data is considered to be unrelated to the classification, and is therefore adjusted. Not used as user-related data.

Then, the user information update unit 24 may adjust the value of the element related to the adjustment user-related data in the calculation of the food-specific data to be updated among the transformation matrix element data constituting the user conversion information J5 of the corresponding registered user. Good. As a result, the user conversion information J5 can be updated so as to reduce the deviation of the data specific to the dish to be updated. Specifically, the user conversion information J5 so that the update target dish-specific data of the corresponding dish-specific information J6 derived from the latest recommendation input information J0 approaches the update target dish-specific data of the latest selected dish-specific information J40. Is updated. At this time, the adjustment method and adjustment amount of the user conversion information J5 (transformation matrix element data) are not limited. For example, the transformation matrix element data related to the adjustment user-related data may be changed by a predetermined value (for example, a relatively small value). Alternatively, the transformation matrix element data related to the adjustment user-related data may be changed by a value determined according to the magnitude of the deviation of the food-specific data to be updated.

The user information update unit 24 may acquire the maximum value and the minimum value of the update target dish-specific data that can be obtained when the user conversion information J5 (that is, the matrix) updated based on the adjusted user-related data is used. By applying the value (for example, maximum value or minimum value) that can be taken by the user-related data that contributes to the calculation of the update target dish-specific data to the updated user conversion information J5, the maximum value and the minimum value of the update target dish-specific data You can get the value. Then, in the user information update unit 24, the maximum value and the minimum value of the update target dish-specific data acquired in this way are in a predetermined scale range (that is, the update target dish-specific data) with respect to the update target dish-specific data. It may be determined whether or not it falls within the range determined by the predetermined maximum allowable value and the minimum allowable value.

As a result of the determination, if the update target dish-specific data falls within a predetermined scale range, the user information update unit 24 may determine the updated user conversion information J5 (matrix). On the other hand, when the food-specific data to be updated does not fall within the predetermined scale range, the user information update unit 24 further adjusts the transformation matrix element data (user conversion information J5) that contributes to the calculation of the food-specific data to be updated. The data specific to the dish to be updated may be contained in a predetermined scale range. For example, the user information update unit 24 further changes all the transformation matrix element data (that is, the transformation matrix element data after the update) that contributes to the calculation of the update target dish-specific data by the same magnification, so that the update target dish-specific data is unique. The data may be contained within a predetermined scale range. Hereinafter, the adjustment method is also referred to as a "magnification adjustment method".

The user information update unit 24 sends the user update information J41 based on the updated user conversion information J5 obtained as described above to the user-specific information acquisition unit 16. The user conversion information J5 stored in the user-specific information acquisition unit 16 is updated based on the user update information J41 sent from the user information update unit 24.

<Update example when user conversion information J5 is non-matrix>
As shown in FIGS. 7A and 7B, the conversion information storage unit 37 (user-specific information acquisition unit 16) includes the user-related data possessed by the basic user-related information J7 and the related food-specific information J6'(corresponding food-specific information J6). ) May store the user conversion information J5 that is configured to be associated with the dish-specific data. In this case, the user-related data of the basic user-related information J7 may be represented by "presence / absence (for example," 0 "or" 1 ")" instead of "weight (for example," -3 to +3 ")". The default user information J8 regarding such user conversion information J5 can have the same data structure.

In the initial operation of the recommendation system 10, only the limited default user information J8 (for example, a small number of default records R6 (see FIG. 9A)) prepared by the provider is usually stored in the default information storage unit 39. .. Further, in general, a small amount of food-specific data (default-corresponding food-specific information J9 (see FIG. 9B)) is associated with a small number of user-related data (default basic user-related information J10 (see FIG. 9B)). .. At the beginning of each registered user starting to use the recommendation system 10, the user conversion information J5 of each registered user is defined based on such limited default user information J8.

Consider one of the correspondences between the related dish-specific information J6'included in the user conversion information J5 of each registered user and the basic user-related information J7 (hereinafter, also referred to as "first correspondence"). Recommendation input information input by a registered user Input related to J0 User-related information When the user-related data of J3 includes user-related data included in the first correspondence, the dish-specific data included in the first correspondence is user-specific. It can be output by the information acquisition unit 16. In this case, the same dish-specific data is output by the user-specific information acquisition unit 16 regardless of whether the input user-related information J3 includes or does not include user-related data that is not included in the first correspondence. In addition, since the amount of food-specific data output is small, it is expected that a large number of relevant dishes will be recommended as a result.

In this state, when the target registered user selects a dish from a large number of recommended dishes and inputs it as the selected dish information J20, the basic dish-specific information J2 (that is, the selected dish-specific information J40) of the selected dish is displayed. , Cooking-specific data not included in the first correspondence may also be included. The user information update unit 24 uses the user-related data of the input user-related information J3 associated with the recommendation input information J0 (that is, the user-related data of the input user-related information J3 that may include the user-related data not included in the first correspondence). A new correspondence relationship in which the dish-specific data included in the basic dish-specific information J2 (that is, the selection dish-specific information J40) of the selected dish is associated with the user is included in the user conversion information J5 of the corresponding registered user. The conversion information J5 may be updated.

Registered users who have used the recommendation system 10 more than a certain number of times (for example, the number of times the selected food information J20 has been input) may be assigned user conversion information J5 including a new correspondence derived from an existing correspondence. Is high. With respect to such registered users, among the correspondences included in the correspondence user conversion information J5, in "mutually related user-related data and cooking-specific data", "one or more common user-related data and one or more" "Cooking-specific data" may be included. The user information updating unit 24 may reflect such "common one or more user-related data and one or more cooking-specific data" in the user conversion information J5 of the corresponding registered user as a new correspondence relationship.

[Update default user information]
As described above, the recommendation system 10 can determine the user conversion information J5 of the new user by using the default user information J8 selected based on the typology information J32 (see FIG. 11). From the viewpoint of improving the recommendation accuracy, it is preferable to update the default user information J8 of each type pattern as appropriate based on the user conversion information J5 of the registered user classified into the corresponding type patterns. Such updating of the default user information J8 may be performed every time the registered user inputs the selected food information J20, for example, when the new selected food information J20 is accumulated to some extent in the user information storage unit 40. It may be done.

FIG. 13 is a flow chart showing an example of the flow of processing for updating the default user information J8.

As described with respect to FIG. 12 above, the user information update unit 24 acquires the user update information J41 based on the selected dish-specific information J40, and the user-specific information acquisition unit 16 acquires the user conversion information J5 based on the user update information J41. To update.

The default information update unit 27 acquires the user conversion information J5 from the user-specific information acquisition unit 16, and acquires the default user information J8 from the default information storage unit 39. Then, the default information update unit 27 compares the user conversion information J5 and the default user information J8 associated with the same type pattern with each other, and acquires the default update information J50 as needed. The default update information J50 is sent from the default information update unit 27 to the default information storage unit 39, and the default information storage unit 39 updates the default user information J8 based on the default update information J50.

The default information update unit 27 can appropriately acquire data and information necessary for performing the update process from other functional configuration units as needed.

<Update example when default user information J8 is a matrix>
For example, if there is a difference between the conversion matrix element data corresponding to each other between the user conversion information J5 and the default user information J8 regarding a certain type pattern, or if the difference is relatively large, the default information update unit 27 , It may be determined that the default user information J8 regarding the certain type pattern needs to be updated. When it is determined that the default user information J8 regarding a certain type pattern needs to be updated, the default information updating unit 27 is based on the user conversion information J5 for two or more registered users classified into the certain type pattern. The default user information J8 may be updated as shown in 13.

The same when the corresponding dish-specific information J6 is acquired from the input user-related information J3 using the matrix and the user conversion information J5 (that is, transformation matrix element data) of each registered user is updated (see FIGS. 6A to 6C). The user conversion information J5 does not always match among the registered users classified into the type pattern. That is, the user conversion information J5 of a certain registered user may include the same transformation matrix element data as the default user information J8, but the user conversion information J5 of another registered user is a transformation matrix element deviated from the default user information J8. May contain data.

When the user conversion information J5 relating to two or more (for example, a predetermined ratio or more or all) of the registered users classified into a certain type pattern includes the transformation matrix element data deviated from the default user information J8, the user conversion information J5 relates to the certain type pattern. The default user information J8 may be updated. It is preferable that the degree of data change due to the update of the default user information J8 is determined according to the number of registered users and the degree of deviation of the user conversion information J5 from the default user information J8. Typically, of the transformation matrix element data included in the current default user information J8, only the transformation matrix element data deviating from the user transformation information J5 is changed by the update.

According to the above-mentioned "magnification adjustment method", the user conversion information J5 (that is, transformation matrix element data) of each registered user may include a matrix element whose numerical value is changed regardless of the original intention. Therefore, the default information update unit 27 has a magnification for sharing a specific matrix element among registered users classified into the same type pattern in order to align the criteria of the matrix element data constituting the matrix of each user conversion information J5. May be obtained for each registered user. In this case, by multiplying the obtained magnification for each registered user with the matrix element data constituting the corresponding matrix (user conversion information J5), a specific matrix element can be obtained among the registered users classified into the same type pattern. The data will be the same value. Further, the data of the specific matrix element included in the default user information J8 may be adjusted to the same value as the specific matrix element of the adjusted user conversion information J5 in the same manner. The default information update unit 27 compares the user conversion information J5 of each registered user after such adjustment with the corresponding default user information J8, and updates the matrix element data of the default user information J8 as necessary. You may.

Further, the default information update unit 27 compares the user conversion information J5 of a plurality of registered users classified into the certain type pattern with the default user information J8 regarding the certain type pattern, and compares the user conversion information J5 with respect to the certain type pattern. Only the data of the elements having commonality among the registered users in the form of the deviation between the default user information J8 and the default user information J8 may be updated. The default information update unit 27 may determine the degree of data change due to the update, for example, based on the number of registered users having a common form of the deviation and / or the degree of the deviation. As an example, in the default information update unit 27, a certain matrix element data in the user conversion information J5 of 80% or more registered users belonging to a certain type pattern is deviated in the same direction from the corresponding matrix element data in the default user information J8. In this case, the default user information J8 may be updated by changing the data of the matrix element data of the default user information J8.

The amount of change in the default user information J8 may be a predetermined value (for example, a relatively small value), or may be a value derived from the comparison result between the user conversion information J5 and the default user information J8.

<Example of updating default user information J8 that is not a matrix>
When the user conversion information J5 of each registered user is updated as described above, each user conversion information J5 contains a limited number of "user-related data and dishes" included in the default user information J8 at the initial stage of operation of the recommendation system 10. In addition to the "unique data correspondence", new correspondence can be included. Therefore, the default information update unit 27 is a "combination of user-related data and cooking-specific data" common among registered users belonging to the same type pattern, and has a plurality of correspondences (FIGS. 9A and 9B) possessed by the user conversion information J5. The "combination of user-related data and cooking-specific data" included in the default record R6)) may be specified.

In this case, the default information update unit 27 is not included in the default user information J8 associated with the type pattern among the "combinations of user-related data and cooking-specific data" common among registered users belonging to a certain type pattern. A new "combination of user-related data and food-specific data" may be specified. In the default information update unit 27, the new "combination of user-related data and dish-specific data" identified in this way is added to the default user information J8 regarding the correspondence pattern as a new correspondence (for example, a new default record). The default update information J50 is transmitted to the default information storage unit 39 so as to be included in R6 (see FIGS. 9A and 9B), and the default user information J8 stored in the default information storage unit 39 is updated. May be good.

As described above, according to the above-mentioned recommendation system 10, the recommendation device 11, and the information processing method, while preventing the burden on each registered user from becoming excessive, the dishes according to the taste and situation of each registered user can be prepared. Recommendations can be made with high accuracy. In particular, by using the user conversion information based on the default user information J8 as the user conversion information J5 defined for the new user, it becomes unnecessary to ask a large number of questions to the new user, and the recommendation system 10 for the new user. You can lower the hurdle to start using it. Further, the recommendation accuracy can be improved by updating the default user information J8 and the user conversion information J5.

[First modification]
The discriminant function used to acquire the typology information J32 of a new user may be updated as necessary. The update of the discriminant function may be performed by, for example, the typology information acquisition unit 25, or may be performed by another functional configuration.

For example, a question based on the type question information J30 is presented to the registered user, and an answer is obtained from the registered user. It is confirmed whether the content of the current response obtained in this way has not changed from the content of the past response obtained for the typology pattern classification (that is, the content of the answer obtained during the new registration process). The past answer contents obtained for this type pattern classification may be obtained from, for example, the user information storage unit 40.

If there is a change between the past answer content and the current answer content, it can be considered that the preference of the registered user has changed, so it is not necessary to review the discriminant function. On the other hand, if there is no change between the past answer contents and the present answer contents, it can be considered that the typological pattern in which the registered users are classified is not appropriate, so that the discriminant function may be reviewed.

For example, it does not affect the determination of whether or not it is necessary to modify the typology to which the registered user is assigned and the typology of the registered user who does not need to modify the assigned typology using the past answers. It is possible to review the discriminant function based on. If there is a contradiction between a plurality of registered users due to the review of the discriminant function, the discriminant function is reviewed again using the answer contents excluding one or more answers from the past answer contents. For example, when the answers of a plurality of registered users who should be classified into the same type pattern are applied to a new discriminant function, the plurality of registered users are classified into different type patterns, or the plurality of registered users. A contradiction arises when is not classified into the typological pattern that should be classified. The discriminant function is repeatedly reviewed until such a contradiction is resolved.

If the contradiction is not resolved even after repeatedly reviewing the discriminant function, there is a possibility that the factors to be asked are insufficient and an unknown typological pattern is hidden, so a new question is prepared. Such new questions are usually prepared by the provider, for example, the treatise "Development of a Measurement of the Motives Underlying the Selection of Food: the Food Choice Questionnaire" (Appetite, 1995, 25, pp. 267-284, It can be created based on Academic Press Limited (for example, Table 1).

For example, is there a possibility that the registered user is classified into the second type pattern instead of the first type pattern (that is, the registered user) based on the response contents obtained from the registered user classified into the first type pattern. Includes the boundary between the first type pattern and the second type pattern) is determined. When it is determined that the registered user may be classified into the second type pattern, the registered user may be newly classified into the second type pattern instead of the first type pattern. On the other hand, when it is determined that the registered user is unlikely to be classified into the second type pattern, the registered user is assumed to belong to the second type pattern, and the answer content of the registered user is given to the second type pattern. It is possible to review the discriminant function by performing discriminant analysis together with the answers of panelists belonging to the typology pattern. In this case, the discriminant analysis method itself may be changed. The answer contents of each panelist may be applied to the new discriminant function obtained by the review, and if each panelist is appropriately classified into the corresponding typology pattern, the new discriminant function may be deterministically used. On the other hand, if each panelist is not properly classified into the corresponding typology pattern, the new discriminant function may be considered inappropriate, and the discriminant function may be reviewed again.

When reviewing the discriminant function using the answer contents that exclude one or more answers from the past answer contents, the excluded answers can be decided based on arbitrary criteria. For example, it is possible to determine the answers to be excluded based on a method close to the brute force method. First, a new discriminant function is obtained based on the past answer contents excluding only one of the answers, and the corresponding registered user who has been classified into the first type pattern using the newly obtained discriminant function. May be confirmed whether is classified into the second type pattern. When the registered user is classified into the second type pattern, a new discriminant function used at that time can be adopted. Answers to be excluded if any of the answers in the past cannot be excluded and a discriminant function that can classify the corresponding registered users classified into the first type pattern cannot be obtained into the second type pattern. The discriminant function may be recalculated based on the past answers by increasing the number of. While changing the answers to be excluded or the number of answers to be excluded in this way, the appropriateness of the newly obtained discriminant function may be judged.

[Other variants]
A part of the functional configuration of the above-mentioned recommendation system 10 may be performed manually (for example, a person who provides the recommendation system 10). For example, the determination of the input user-related information J3 regarding the new user and the provision of the input user-related information J3 to the default information processing unit 26 and / or the type information storage unit 38 may be performed manually.

The present invention is not limited to the above-described embodiments and modifications. For example, various modifications may be added to each element of the above-described embodiment and modification. In addition, embodiments including components and / or methods other than the above-mentioned components and / or methods are also included in the embodiments of the present invention. In addition, an embodiment of the present invention also includes a form in which some of the above-mentioned components and / or methods are not included. In addition, a form including some components and / or methods included in an embodiment of the present invention and some components and / or methods included in other embodiments of the present invention is also included in the present invention. Included in the embodiments. Therefore, the components and / or methods included in each of the above-described embodiments and modifications and the embodiments of the present invention other than the above may be combined, and the embodiments related to such combinations are also the embodiments of the present invention. Included in the form. Further, the effect produced by the present invention is not limited to the above-mentioned effect, and a peculiar effect according to the specific configuration of each embodiment can be exhibited. In this way, various additions, changes and partial deletions can be made to each element described in the claims, the specification, the abstract and the drawings without departing from the technical idea and purpose of the present invention. Is.

1 Network 2 Information processing server 3 Database 4 Client terminal 4a Client terminal (wired connection)
4b Client terminal (wireless connection)
10 Recommendation system 11 Recommendation device 15 User-related information acquisition unit 16 User-specific information acquisition unit 20 User-related information processing unit 21 User-specific information processing unit 22 Presentation information output unit 23 Selection information acquisition unit 24 User information update unit 25 Type information acquisition unit 26 Default information processing unit 27 Default information update unit 31 1st database 32 2nd database 33 3rd database 34 4th database 35 Cooking information storage unit 36 User-related information storage unit 37 Conversion information storage unit 38 Type information storage unit 39 Default information Storage unit 40 User information Storage unit 41 User input unit 42 User output unit J0 Recommendation input information J0-1 Status input information J0-2 Other input information J1 Presentation information J1-1 Cooking specific information J1-2 Cooking characteristic information J2 Basic cooking Unique information J2-1 Material information J2-2 Characteristic information J3 Input user related information J4 Basic status information J5 User conversion information J5-1 First user conversion information J5-2 Second user conversion information J6 Corresponding food Unique information J6'Related food Unique information J7 Basic user related information J8 Default user information J8-1 First default user information J8-2 Second default user information J9 Default compatible food Unique information J10 Default basic user related information J20 Selected food information J30 Type Question information J31 Type answer Information J32 Type information J40 Selected dish specific information J41 User update information J50 Default update information R1 Cooking record R1-1 1st dish record R1-2 2nd dish record R1-3 3rd dish record R1-4 4th dish record R1- 5 Fifth cooking record R2 Status record R2-1 First status record R2-2 Second status record R2-3 Third status record R2-4 Fourth status record R2-5 Fifth status record R3 User conversion record R3-1 1st user conversion record R3-2 2nd user conversion record R3-3 3rd user conversion record R3-4 4th user conversion record R3-5 5th user conversion record R4 User conversion record R4-1 1st user conversion record R4 -2 Second user conversion record R4-3 Third user conversion record R4-4 Fourth user conversion record R4-5 Fifth user conversion record R5 Default record R5-1 First default record R5-2 Second default record R5- 3 3rd default Code R5-4 4th default record R5-5 5th default record R6 Default record R6-1 1st default record R6-2 2nd default record R6-3 3rd default record R6-4 4th default record R6-5 5 Default record

Claims

It is a cooking information storage unit that stores a plurality of cooking records for each of a plurality of dishes, and each of the plurality of cooking records includes basic cooking-specific information composed of a plurality of cooking-specific data representing the nature of the dish. A cooking information storage unit that includes presentation information that is information on cooking that is intended to be presented to the target registered user.
It is a user-related information acquisition unit that receives the recommendation input information input by the target registered user and acquires the input user-related information associated with the recommendation input information based on the recommendation input information, and the recommendation input information is A user-related information acquisition unit and a user-related information acquisition unit, which includes at least data related to the situation and the input user-related information is composed of one or more user-related data.
A plurality of user conversion information defined for each of the plurality of registered users is stored, and the user-related information acquisition unit acquires the plurality of user conversion information based on the user conversion information defined for the target registered user among the plurality of user conversion information. It is a user-specific information acquisition unit that acquires corresponding food-specific information from the input user-related information, and the corresponding food-specific information is composed of a plurality of food-specific data associated with the input user-related information. , User-specific information acquisition unit,
With reference to the cooking information storage unit, the corresponding cooking-specific information and the basic cooking-specific information are compared, and among the plurality of cooking records, a cooking record including the basic cooking-specific information that matches the corresponding cooking-specific information is used. A presentation information output unit that determines one or more corresponding food records and outputs the presentation information included in the one or more corresponding food records.
A dish record relating to a dish selected by the target registered user based on the selected dish information after receiving the selected dish information indicating the dish selected by the target registered user based on the presented information output by the present information output unit. The selection information acquisition unit that acquires the selection food-specific information that is the basic food-specific information included in
A user information update unit that updates user conversion information that is defined for the target registered user and stored in the user-specific information acquisition unit based on the selected dish-specific information.
A default information storage unit that stores a plurality of default user information associated with each of a plurality of typological patterns based on taste, and a default information storage unit.
A typology information acquisition unit that acquires typology information indicating a typology pattern according to a new user's preference among the plurality of typology patterns.
Based on the type information about the new user, the default user information associated with the type pattern according to the preference of the new user is acquired from the default information storage unit, and the user conversion based on the acquired default user information. A default information processing unit that stores information in the user-specific information acquisition unit as user conversion information defined for the new user, and a default information processing unit.
Recommendation system with.
The recommendation system according to claim 1, further comprising a default information update unit that updates the plurality of default user information stored in the default information storage unit based on the selected dish-specific information.
2. The default information updating unit updates the plurality of default user information stored in the default information storage unit based on the plurality of user conversion information updated based on the selected dish-specific information. The recommendation system described in.
Each of the plurality of registered users is provided with a typology information storage unit that stores the typology information indicating a typology pattern classified according to preference.
The default information update unit is
Based on the type information stored in the type information storage unit, two or more registered users classified into the same type pattern are identified.
A request to update each of the plurality of default user information stored in the default information storage unit based on the user conversion information defined for the two or more registered users classified into the corresponding type patterns. Item 3. The recommendation system according to item 3.
The recommendation system according to any one of claims 1 to 4, wherein each of the plurality of user conversion information includes data of a plurality of conversion matrix elements which are a plurality of elements constituting the matrix.
The user information update unit updates a part or all of the data of the plurality of transformation matrix elements included in the user conversion information, and the user conversion information including the updated data of the plurality of transformation matrix elements is described. The recommendation system according to claim 5, which is stored in the user-specific information acquisition unit.
Each of the plurality of user transformation information includes data of a plurality of transformation matrix elements which are a plurality of elements constituting the matrix.
Each of the plurality of default user information includes data of a plurality of default matrix elements, which are a plurality of elements constituting the matrix.
The default information update unit associates the data of the plurality of conversion matrix elements of the two or more matrices defined for each of the two or more registered users with the type pattern in which the two or more registered users are classified. The default user information included in the default user information associated with the type pattern in which the two or more registered users are classified based on the comparison result with the data of the plurality of default matrix elements included in the default user information. The recommendation system according to claim 4, wherein the data of a plurality of default matrix elements is updated.
Each of the plurality of user conversion information includes a plurality of user conversion records including related food-specific information and basic user-related information associated with the related food-specific information, and in each of the plurality of user conversion records,
The related dish-specific information is composed of two or more dish-specific data.
The basic user-related information is composed of one or more user-related data.
The user-specific information acquisition unit compares the input user-related information with the basic user-related information and determines a corresponding user conversion record which is a user conversion record including the basic user-related information that matches the input user-related information. The recommendation system according to any one of claims 1 to 4, wherein the related dish-specific information included in the corresponding user conversion record is acquired as the corresponding dish-specific information.
The user information update unit includes the new user conversion record determined based on the selected dish-specific information and the input user-related information in the user conversion information defined for the target registered user. The recommendation system according to claim 8, which is stored in the acquisition unit.
Regarding each of the plurality of user conversion information, the user information update unit includes one or more interrelated cooking-specific data commonly included among two or more user conversion records among the plurality of user conversion records and one or more food-specific data. The recommendation system according to claim 8 or 9, wherein a new user conversion record having one or more user-related data is stored in the user-specific information acquisition unit so as to be included in the corresponding user conversion information.
Each of the plurality of user conversion information includes a plurality of user conversion records including related food-specific information and basic user-related information associated with the related food-specific information, and in each of the plurality of user conversion records,
The related dish-specific information is composed of two or more dish-specific data.
The basic user-related information is composed of one or more user-related data.
The user-specific information acquisition unit compares the input user-related information with the basic user-related information and determines a corresponding user conversion record which is a user conversion record including the basic user-related information that matches the input user-related information. Then, the related dish-specific information included in the corresponding user conversion record is acquired as the corresponding dish-specific information.
Each of the plurality of default user information includes a plurality of default records.
Each of the plurality of default records includes default-supported food-specific information and default basic user-related information associated with the default-supported food-specific information.
The default-supported dish-specific information is composed of two or more dish-specific data.
The default basic user-related information is composed of one or more user-related data.
The default information update unit is a user conversion record in which the corresponding dish-specific information and the basic user-related information that are related to each other are common among the two or more user conversion information defined for each of the two or more registered users. The recommendation system according to claim 4, wherein the default user information associated with the type pattern in which the two or more registered users are classified is updated based on a common user conversion record.
A recommendation device connected to a cooking information storage unit, a conversion information storage unit, and a default information storage unit.
The cooking information storage unit stores a plurality of cooking records relating to each of the plurality of dishes, and each of the plurality of cooking records includes basic cooking-specific information composed of a plurality of cooking-specific data representing the nature of the dish. Including presentation information that is information on dishes intended to be presented to the target registered user,
The conversion information storage unit stores a plurality of user conversion information defined for each of the plurality of registered users.
The default information storage unit stores a plurality of default user information associated with each of the plurality of typological patterns based on preference.
It is a user-related information acquisition unit that receives the recommendation input information input by the target registered user and acquires the input user-related information associated with the recommendation input information based on the recommendation input information, and the recommendation input information is A user-related information acquisition unit and a user-related information acquisition unit, which includes at least data related to the situation and the input user-related information is composed of one or more user-related data.
User-specific information acquisition that acquires corresponding dish-specific information from the input user-related information acquired by the user-related information acquisition unit based on the user conversion information defined for the target registered user among the plurality of user conversion information. A user-specific information processing unit, which is a unit, and the corresponding dish-specific information is composed of a plurality of dish-specific data associated with the input user-related information.
Based on the selected dish-specific information which is the basic dish-specific information included in the dish record related to the dish selected by the target registered user based on the corresponding dish-specific information, the conversion information is defined for the target registered user. A user information update unit that updates user conversion information stored in the storage unit,
A typology information acquisition unit that acquires typology information indicating a typology pattern according to a new user's preference among the plurality of typology patterns.
Based on the type information about the new user, the default user information associated with the type pattern according to the preference of the new user is acquired from the default information storage unit, and the user conversion based on the acquired default user information. A default information processing unit that stores information in the user-specific information acquisition unit as user conversion information defined for the new user, and a default information processing unit.
A recommendation device equipped with.
Information processing method for recommendation system
The recommendation system is
It is a cooking information storage unit that stores a plurality of cooking records for each of a plurality of dishes, and each of the plurality of cooking records includes basic cooking-specific information composed of a plurality of cooking-specific data representing the nature of the dish. A cooking information storage unit that includes presentation information that is information on cooking that is intended to be presented to the target registered user.
It is a user-related information acquisition unit that receives the recommendation input information input by the target registered user and acquires the input user-related information associated with the recommendation input information based on the recommendation input information, and the recommendation input information is A user-related information acquisition unit and a user-related information acquisition unit, which includes at least data related to the situation and the input user-related information is composed of one or more user-related data.
A plurality of user conversion information defined for each of the plurality of registered users is stored, and is acquired by the user-related information acquisition unit based on the user conversion information defined for the target registered user among the plurality of user conversion information. It is a user-specific information acquisition unit that acquires corresponding food-specific information from the input user-related information, and the corresponding food-specific information is composed of a plurality of food-specific data associated with the input user-related information. , User-specific information acquisition department,
With reference to the cooking information storage unit, the corresponding cooking-specific information and the basic cooking-specific information are compared, and among the plurality of cooking records, a cooking record including the basic cooking-specific information that matches the corresponding cooking-specific information is used. A presentation information output unit that determines one or more corresponding food records and outputs the presentation information included in the one or more corresponding food records.
A dish record relating to a dish selected by the target registered user based on the selected dish information after receiving the selected dish information indicating the dish selected by the target registered user based on the presented information output by the present information output unit. The selection information acquisition unit that acquires the selection food-specific information that is the basic food-specific information included in
A user information update unit that updates user conversion information that is defined for the target registered user and is stored in the user-specific information acquisition unit based on the selected dish-specific information is provided.
A step of acquiring typological information indicating a typological pattern according to a new user's preference among a plurality of typological patterns based on preference, and
Based on the type information about the new user, the default information storage unit that stores a plurality of default user information associated with each of the plurality of type patterns is associated with the type pattern according to the preference of the new user. A step of acquiring default user information and storing the acquired user conversion information based on the default user information in the user-specific information acquisition unit as user conversion information defined for the new user.
Information processing methods including.
A computer-readable recording medium that records a program that causes a computer to execute an information processing method for a recommendation system.
The recommendation system is
It is a cooking information storage unit that stores a plurality of cooking records relating to each of a plurality of dishes, and each of the plurality of cooking records includes basic cooking-specific information composed of a plurality of cooking-specific data representing the nature of the dish. A cooking information storage unit that includes presentation information that is information on cooking that is intended to be presented to the target registered user.
It is a user-related information acquisition unit that receives the recommendation input information input by the target registered user and acquires the input user-related information associated with the recommendation input information based on the recommendation input information, and the recommendation input information is A user-related information acquisition unit and a user-related information acquisition unit, which includes at least data related to the situation and the input user-related information is composed of one or more user-related data.
A plurality of user conversion information defined for each of the plurality of registered users is stored, and the user-related information acquisition unit acquires the plurality of user conversion information based on the user conversion information defined for the target registered user among the plurality of user conversion information. It is a user-specific information acquisition unit that acquires corresponding food-specific information from the input user-related information, and the corresponding food-specific information is composed of a plurality of food-specific data associated with the input user-related information. , User-specific information acquisition unit,
With reference to the cooking information storage unit, the corresponding cooking-specific information and the basic cooking-specific information are compared, and among the plurality of cooking records, a cooking record including the basic cooking-specific information that matches the corresponding cooking-specific information is used. A presentation information output unit that determines one or more corresponding food records and outputs the presentation information included in the one or more corresponding food records.
A dish record relating to a dish selected by the target registered user based on the selected dish information after receiving the selected dish information indicating the dish selected by the target registered user based on the presented information output by the present information output unit. The selection information acquisition unit that acquires the selection food-specific information that is the basic food-specific information included in
A user information update unit that updates the user conversion information defined for the target registered user and stored in the user-specific information acquisition unit based on the selected dish-specific information is provided.
A procedure for acquiring typological information indicating a typological pattern according to a new user's preference among a plurality of typological patterns based on preference, and
Based on the type information about the new user, the default information storage unit that stores a plurality of default user information associated with each of the plurality of type patterns is associated with the type pattern according to the preference of the new user. To have the computer execute a procedure of acquiring default user information and storing the acquired user conversion information based on the default user information in the user-specific information acquisition unit as user conversion information defined for the new user. A computer-readable recording medium on which the program is recorded.