JP6882746B1 - Information processing equipment, methods and programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique capable of recommending information on an optimal meal according to a user's schedule information. SOLUTION: A server 20 of a recommendation system 1 has, as its functions, a schedule information acquisition module 2034 for acquiring schedule information regarding a user's action schedule, and a meal information acquisition module 2035 for acquiring information on a user's past meals. , User's attribute information, user's schedule information, and menu information determination module 2036 that generates a menu of meals to be consumed by the user and determines the menu based on the information about the user's past meals, and schedule information about the user's meals. It is provided with a schedule information generation module 2037 for generating meals, and a recommendation module 2038 for recommending meal menu information and meal schedule information. [Selection diagram] Fig. 3

Description

The present disclosure relates to information processing devices, methods and programs.

In recent years, with the development of Internet technology, a Web service that provides cooking recipe information (hereinafter, simply referred to as "recipe information") to a user has been provided. Not only recipe information but also a Web service that provides meal menus composed of a plurality of dishes is provided.

Further, Patent Document 1 discloses a technique of a meal menu proposal system that proposes a nutritionally preferable meal menu in consideration of an action schedule of a user (meal). In this system, a pattern analysis of a user's action schedule is performed, and a matching activity pattern is extracted from the activity patterns stored in advance to propose a nutritionally preferable meal menu.

Japanese Unexamined Patent Publication No. 2016-200963

By the way, not only the content of the meal but also the time of eating is important as the mode of meal that is preferable for the health of the user. In addition, since the nutrients that are preferably taken differ depending on the time of meal, such as breakfast, lunch, and dinner, the menu of meals that are preferable for health may differ depending on the time of meal. For example, it is nutritionally preferable to consume carbohydrates for breakfast and to reduce calories for dinner. However, users have various life schedules, and it has not been easy for users to recommend feasible meal times and menus.

Therefore, in the present disclosure, a technique capable of recommending information on an optimal meal according to a user's schedule information will be described.

According to one embodiment of the present disclosure, an information processing device including a control unit for providing a service for recommending information on meals is provided. The control unit includes a schedule information acquisition unit that acquires the schedule information of the user who receives the service, a meal information acquisition unit that acquires information on the meal that the user has ingested in the past, the attribute information of the user, the schedule information, and the user. It is provided with an information generation unit that generates information on the user's meal based on the information on the meal ingested in the past, and a recommendation unit that recommends the information on the user's meal.

According to one embodiment, a method is provided that is run by a computer with a processor to provide a service that recommends information about meals. The method is that the processor acquires the schedule information of the user who receives the service, the step of acquiring the information about the meal that the user has eaten in the past, the attribute information of the user, the schedule information, and the ingestion of the user in the past. Based on the information about the user's meal, the step of generating the information about the user's meal and the step of recommending the information about the user's meal are executed.

Also, according to one embodiment, a program is provided for causing a computer including a processor to execute and provide a service for recommending information on meals. The program causes the processor to obtain the schedule information of the user who receives the service, the step of acquiring the information about the meal that the user has eaten in the past, the attribute information of the user, the schedule information, and the ingestion of the user in the past. Based on the information about the user's meal, the step of generating the information about the user's meal and the step of recommending the information about the user's meal are executed.

According to the present disclosure, the schedule information of the user who receives the service and the information about the user's meal are acquired, and the information about the user's meal is generated and recommended. This makes it possible to recommend information on the optimal meal according to the user's schedule information.

It is a figure which shows the whole structure of the recommendation system 1 of Embodiment 1. FIG. It is a block diagram which shows the functional configuration of the terminal apparatus 10 which comprises the recommendation system 1 of Embodiment 1. FIG. It is a figure which shows the functional configuration of the server 20 which comprises the recommendation system 1 of Embodiment 1. FIG. It is a figure which shows the data structure of the cooking recipe database 2021 and menu composition database 2022 stored in server 20. It is a figure which shows the data structure of the user database 2023 which a server 20 stores. It is a flowchart which shows an example of the flow which performs the recommendation processing by the recommendation system 1 of Embodiment 1. It is a flowchart which shows another example of the flow which performs the recommendation processing by the recommendation system 1 of Embodiment 1. FIG. It is a flowchart which shows another example of the flow which performs the recommendation processing by the recommendation system 1 of Embodiment 1. FIG. It is a figure which shows the screen example of the calendar display of the terminal apparatus 10 in the recommendation processing. It is a figure which shows the screen example of the menu schedule display of the terminal apparatus 10 in the recommendation processing. It is a figure which shows the screen example of the menu detail display of the terminal apparatus 10 in the recommendation processing. It is a figure which shows the functional configuration of the server 20 which comprises the recommendation system 1 of Embodiment 2. It is a figure which shows the functional configuration of the server 20 which comprises the recommendation system 1 of Embodiment 3. It is a flowchart which shows an example of the flow which performs the recommendation processing by the recommendation system 1 of Embodiment 3.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following description, the same parts are designated by the same reference numerals. Their names and functions are the same. Therefore, the detailed description of them will not be repeated.

<Overview>
Hereinafter, a recommendation system that provides a service for recommending schedule information regarding meals, which is an embodiment of the present disclosure, will be described. This recommendation system is, for example, a system for recommending information on a diet that is good for the user's health. The meal information is, for example, information on a user's meal schedule, menu, and cooking recipe.

In order to have a healthy diet, it is important to have a good dietary content, specifically nutritional balance, but it is also important to eat at an appropriate time in the user's daily rhythm. .. For example, nutritionally preferred meal schedules include having breakfast within a certain amount of time after waking up, having breakfast, lunch, and supper at regular intervals during the day, and supper. After a certain period of time, you may go to bed. In addition, the nutrients that should be ingested differ depending on the time of meal, specifically breakfast, lunch, and supper. For example, nutritionally preferable meal contents for each meal timing include ingesting carbohydrates for breakfast and modest calories for dinner.

However, the rhythm of life varies depending on the occupation, age group, presence of family members living together, etc. of the user, and among the different life schedules, the optimal meal schedule also differs. Therefore, in this recommendation system, attribute information such as the age and gender of the user is acquired, and the schedule information of the user is acquired in order to grasp the life schedule of the user. In addition, in order to understand what kind of meal the user actually eats, what kind of meal is ingested from information on the meal that the user has ingested in the past, for example, image data obtained by photographing the meal actually ingested by the user. We are getting information such as whether it was done.

Furthermore, this recommendation system optimizes information about the user's meals, such as the user's meal schedule and menu, based on the acquired user's attribute information, schedule information, information on past meals, family structure, and cooking skills. Information is generated and recommended. The recommended schedule information includes, for example, the time when the meal should be started, the cooking start time considering the time for cooking the recommended menu, and the movement start time for purchasing the ingredients considering the user's schedule. Is. In addition to recommending meal menus, he also recommends cooking recipes for meals.

Furthermore, in this recommendation system, the recommended user's meal schedule and menu are compared with the subsequent schedule information and image data obtained by photographing the meal, and further optimization is performed based on this information to generate information. I recommend it. Such a configuration is intended, for example, to guide the user to eat a more favorable diet for health.

<First Embodiment>
Hereinafter, the recommendation system 1 will be described. In the following description, for example, when the terminal device 10 accesses the server 20, the server 20 responds with information for generating a screen on the terminal device 10. The terminal device 10 generates and displays a screen based on the information received from the server 20. Further, for example, an application provided by an administrator who operates the server 20 (for example, a recommendation application that recommends schedule information and menu information related to meals and the like) is installed in the terminal device 10. The terminal device 10 transmits an information transmission request to the server 20 when the application is running, receives the information transmitted by the server 20 in accordance with the information transmission request, generates a screen, and displays the screen.

<1 Overall configuration of recommendation system 1>
FIG. 1 is a diagram showing the overall configuration of the recommendation system 1. As shown in FIG. 1, the recommendation system 1 includes a plurality of terminal devices (in FIG. 1, the terminal device 10A and the terminal device 10B are shown. Hereinafter, they may be collectively referred to as "terminal device 10"). Includes server 20 and. The terminal device 10 and the server 20 are connected to each other so as to be able to communicate with each other via the network 80. The network 80 is composed of a wired or wireless network.

The terminal device 10 is a device operated by each user. Here, the user is a user who receives a recommendation of information on meals by the recommendation system 1. The terminal device 10 is realized by a mobile terminal such as a smartphone or tablet compatible with a mobile communication system. In addition, the terminal device 10 may be, for example, a stationary PC (Personal Computer) or a laptop PC. As shown as the terminal device 10A in FIG. 1, the terminal device 10 includes a communication IF (Interface) 12, an input device 13, an output device 14, a memory 15, a storage unit 16, and a processor 19.

The terminal device 10 is communicably connected to the server 20 via the network 80. The terminal device 10 has a wireless base station 81 compatible with communication standards such as 4G, 5G, and LTE (Long Term Evolution), and a wireless LAN (Local Area Network) standard such as IEEE (Institute of Electrical and Electronics Engineers) 802.11. It is connected to the network 80 by communicating with a communication device such as a corresponding wireless LAN router 82.

The communication IF 12 is an interface for inputting / outputting signals because the terminal device 10 communicates with an external device. The input device 13 is an input device (for example, a touch panel, a touch pad, a pointing device such as a mouse, a keyboard, etc.) for receiving an input operation from a user. The output device 14 is an output device (display, speaker, etc.) for presenting information to the user. The memory 15 is for temporarily storing a program, data processed by the program or the like, and is a volatile memory such as a DRAM (Dynamic Random Access Memory). The storage unit 16 is a storage device for storing data, for example, a flash memory or an HDD (Hard Disc Drive). The processor 19 is hardware for executing an instruction set described in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

The server 20 is a device that manages information on meals taken in the past, such as information on menus and cooking recipes for recommending to users, user attribute information and schedule information, and image data obtained by photographing meals. The server 20 accepts the input of the user's attribute information, acquires the schedule information, and acquires the information regarding the meals ingested in the past. Further, the server 20 generates information on meals based on the user's attribute information, schedule information, and information on meals ingested in the past, and transmits information on meals to the terminal device 10 in order to make recommendations to the user. ..

The server 20 is a computer connected to the network 80. The server 20 includes a communication IF 22, an input / output IF 23, a memory 25, a storage 26, and a processor 29.

The communication IF 22 is an interface for inputting / outputting signals because the server 20 communicates with an external device. The input / output IF 23 functions as an interface with an input device for receiving an input operation from the user and an output device for presenting information to the user. The memory 25 is for temporarily storing a program, data processed by the program or the like, and is a volatile memory such as a DRAM (Dynamic Random Access Memory). The storage 26 is a storage device for storing data, for example, a flash memory or an HDD (Hard Disc Drive). The processor 29 is hardware for executing an instruction set described in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

<1.1 Configuration of terminal device 10>
FIG. 2 is a block diagram of the terminal device 10 constituting the recommendation system 1 of the first embodiment. As shown in FIG. 2, the terminal device 10 operates with a plurality of antennas (antenna 111, antenna 112) and wireless communication units (first wireless communication unit 121, second wireless communication unit 122) corresponding to each antenna. Reception unit 130 (including touch sensitive device 131 and display 132), voice processing unit 140, microphone 141, speaker 142, position information sensor 150, camera 160, storage unit 170, and control unit 180. And include. The terminal device 10 also has functions and configurations (for example, a battery for holding electric power, a power supply circuit for controlling the supply of electric power from the battery to each circuit, and the like) which are not particularly shown in FIG. As shown in FIG. 2, each block included in the terminal device 10 is electrically connected by a bus or the like.

The antenna 111 radiates a signal emitted by the terminal device 10 as a radio wave. Further, the antenna 111 receives radio waves from the space and gives a received signal to the first wireless communication unit 121.

The antenna 112 radiates a signal emitted by the terminal device 10 as a radio wave. Further, the antenna 112 receives a radio wave from the space and gives a received signal to the second radio communication unit 122.

Since the terminal device 10 communicates with other wireless devices, the first wireless communication unit 121 performs modulation / demodulation processing for transmitting / receiving signals via the antenna 111. Since the terminal device 10 communicates with other wireless devices, the second wireless communication unit 122 performs modulation / demodulation processing for transmitting / receiving signals via the antenna 112. The first wireless communication unit 121 and the second wireless communication unit 122 are communication modules including a tuner, an RSSI (Received Signal Strength Indicator) calculation circuit, a CRC (Cyclic Redundancy Check) calculation circuit, a high frequency circuit, and the like. The first wireless communication unit 121 and the second wireless communication unit 122 perform modulation / demodulation and frequency conversion of the wireless signal transmitted / received by the terminal device 10 and give the received signal to the control unit 180.

The operation receiving unit 130 has a mechanism for receiving a user's input operation. Specifically, the operation reception unit 130 is configured as a touch screen, and includes a touch-sensitive device 131 and a display 132.

The touch-sensitive device 131 accepts an input operation by the user of the terminal device 10. The touch-sensitive device 131 detects the user's contact position with respect to the touch panel, for example, by using a capacitive touch panel. The touch-sensitive device 131 outputs a signal indicating the contact position of the user detected by the touch panel to the control unit 180 as an input operation.

The display 132 displays data such as images, moving images, and texts under the control of the control unit 180. The display 132 is realized by, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display.

The voice processing unit 140 performs modulation / demodulation of the voice signal. The voice processing unit 140 modulates the signal given from the microphone 141 and gives the modulated signal to the control unit 180. Further, the voice processing unit 140 gives a voice signal to the speaker 142. The voice processing unit 140 is realized by, for example, a processor for voice processing. The microphone 141 receives the voice input and gives the voice signal corresponding to the voice input to the voice processing unit 140. The speaker 142 converts the voice signal given from the voice processing unit 140 into voice and outputs the voice to the outside of the terminal device 10.

The position information sensor 150 is a sensor that detects the position of the terminal device 10, and is, for example, a GPS (Global Positioning System) module. The GPS module is a receiving device used in a satellite positioning system. The satellite positioning system receives signals from at least three or four satellites and detects the current position of the terminal device 10 on which the GPS module is mounted based on the received signals.

The camera 160 is a device for receiving light by a light receiving element and outputting it as a captured image. The camera 160 is, for example, a depth camera capable of detecting the distance from the camera 160 to the shooting target.

The storage unit 170 is composed of, for example, a flash memory or the like, and stores data and programs used by the terminal device 10. In a certain aspect, the storage unit 170 stores the user information 171.

The user information 171 is information of a user who receives a recommendation of information on meals via the terminal device 10. The user information includes information (user ID) for identifying the user registered in the server 20, name, age, gender, and the like.

The control unit 180 controls the operation of the terminal device 10 by reading the program stored in the storage unit 170 and executing the instructions included in the program. The control unit 180 is, for example, an application installed in the terminal device 10 in advance. By operating according to the program, the control unit 180 serves as an input operation reception unit 181, a transmission / reception unit 182, a data processing unit 183, a notification control unit 184, a shooting data transmission unit 185, and a position information transmission unit 186. Demonstrate the function of.

The input operation reception unit 181 performs a process of accepting a user's input operation to an input device such as a touch-sensitive device 131. The input operation reception unit 181 is based on the information of the coordinates when the user touches the touch-sensitive device 131 with his / her finger or the like, and the user's operation is a flick operation, a tap operation, or a drag ( Swipe) Determine the type of operation, such as whether it is an operation.

The transmission / reception unit 182 performs a process for the terminal device 10 to transmit / receive data to / from an external device such as a server 20 according to a communication protocol.

The data processing unit 183 performs a calculation on the data received by the terminal device 10 according to a program, and outputs the calculation result to a memory or the like.

The notification control unit 184 performs a process of presenting information to the user. The notification control unit 184 performs a process of displaying the display image on the display 132, a process of outputting the sound to the speaker 142, a process of generating vibration in the camera 160, and the like.

The shooting data transmission unit 185 performs a process of transmitting the shooting data output as a shot image by the camera 160 to the server 20 by the input operation of the user.

The position information transmission unit 186 performs a process of transmitting the position information of the terminal device 10 detected by the position information sensor 150 to the server 20. Since the position information sensor 150 detects the position information of the terminal device 10 at predetermined time intervals, the position information transmission unit 186 transmits the latest position information in response to the transmission request from the server 20.

<1.2 Functional configuration of server 20>
FIG. 3 is a diagram showing a functional configuration of the server 20 constituting the recommendation system 1 of the first embodiment. As shown in FIG. 3, the server 20 functions as a communication unit 201, a storage unit 202, and a control unit 203.

The communication unit 201 performs a process for the server 20 to communicate with an external device.

The storage unit 202 stores data and programs used by the server 20. The storage unit 202 stores the cooking recipe database 2021, the menu configuration database 2022, the user database 2023, the recommendation database 2024, and the like.

The cooking recipe database 2021 is a database for holding cooking information and cooking recipe information, which constitutes a menu recommended by the recommendation system 1. Details will be described later.

The menu composition database 2022 is a database for holding information indicating the characteristics of the menu recommended by the recommendation system 1 and information on the dishes constituting the menu. Details will be described later.

The user database 2023 is a database for holding the information of the user who receives the recommendation of the information about the meal in the recommendation system 1. Details will be described later.

The recommendation database 2024 is a database for holding information that has been recommended to the user by the recommendation system 1 and user's schedule information and menu information for the recommendation information. As described above, the recommendation system 1 is a database in which the recommendation information and the user's information for the recommendation information are compared and optimized, and the information is linked to the recommendation information.

The control unit 203 exerts the functions shown as various modules by performing the processing according to the program by the processor of the server 20. The various modules include the reception control module 2031, the transmission control module 2032, the user information reception module 2033, the schedule information acquisition module (schedule information acquisition unit) 2034, the meal information acquisition module (meal information acquisition unit) 2035, and the menu information determination module (information). The generation unit) 2036, the schedule information generation module (information generation unit) 2037, and the recommendation module (recommendation unit) 2038 are included.

The reception control module 2031 controls a process in which the server 20 receives a signal from an external device according to a communication protocol.

The transmission control module 2032 controls a process in which the server 20 transmits a signal to an external device according to a communication protocol.

In the user information reception module 2033, a user who receives a recommendation of information about meals using the recommendation system 1 operates the terminal device 10, registers the user, and inputs the user's identification information and attribute information. It controls the process of receiving the user's identification information and attribute information transmitted from the terminal device 10. As the user's identification information and attribute information, for example, information such as the user's name, age, gender, occupation, pre-existing illness or medical history, allergies, and dietary preferences is accepted. The user information reception module 2033 accepts information such as the user's age, gender, occupation, pre-existing medical history, allergies, and dietary preferences as attribute information, and accepts information such as "senior", "living alone", and "office worker". , "Diabetes", and "light taste preference" are added and stored in the user database 2023. Further, not only the user's own information but also environmental information such as the user's living environment and family structure may be accepted as attribute information, and when the family structure consists of a plurality of people, the above-mentioned for each member of the user's family Information such as age, gender, occupation, pre-existing illness or medical history, allergies, and dietary preferences may be accepted and tagged.

Further, the user information reception module 2033 receives, for example, information on cooking utensils possessed or used by the user and cooking skill information on the user's own cooking technique as attribute information, and is used as "beginner cooking" and "cooking". Tag information such as "10 years of experience", "food processor usable", and "complex cooking is difficult" may be added and stored in the user database 2023.

Further, the user information reception module 2033 may accept account information (ID, password, etc.) for acquiring information from an external server by the schedule information acquisition module 2034 and the meal information acquisition module 2035, which will be described later.

The schedule information acquisition module 2034 controls the process of acquiring schedule information regarding the action schedule of the user who has registered as a user in the user information reception module 2033. The schedule information acquisition module 2034 selects, for example, by causing the user's terminal device 10 to display a time chart on a display screen such as a calendar, the user operates the terminal device 10, and taps a predetermined time zone on the time chart. Then, since various action schedule information of the user is input, the input information is accepted and stored in the user database 2023 as the schedule information of the user. The user's various action schedule information is, for example, "commuting (train)", "working (office)", "lunch", "sleeping", and the like. The schedule information acquisition module 2034 may display a time chart and accept input of schedule information by, for example, a schedule function provided in an application installed in the terminal device 10. Further, the schedule information acquisition module 2034 may acquire not only the schedule information input by the user but also the time used by the user to start the application or search for menu information.

Further, the schedule information acquisition module 2034 may access the external server by using the account information received by the user information reception module 2033 to acquire the user's schedule information. Here, the external server is a server of a schedule management system mainly provided by a cloud service in the form of a calendar application or the like, and by receiving various schedule information of a user and registering it as the schedule information of the user, the relevant It is a system that provides a service that notifies when it is time for schedule information. In this case, the schedule information acquisition module 2034 performs predetermined authentication by the ID and password of the account information, and acquires the schedule information of the user in order to synchronize the schedule information by accessing the user regularly.

Further, the schedule information acquisition module 2034 may infer the user's schedule information from the image data of the meal received by the meal information acquisition module 2035, which will be described later, and acquire the schedule information. Information on the shooting time is usually embedded in the image data taken by the camera 160 of the terminal device 10 according to a format such as Exif (Exchangeable image file format). Therefore, the schedule information acquisition module 2034 reads this information, acquires the information of the time when the image data is taken, and estimates and acquires the time when the meal is started.

The meal information acquisition module 2035 controls the process of acquiring information on the past meals of the user who has registered as a user in the user information reception module 2033. Here, the information about the user's past meal is, for example, the meal information actually ingested by the user in the past, specifically, the meal menu, the amount of meal, and the user inferred from this information. It is the information of the intake nutrition value of. The meal information acquisition module 2035 displays, for example, a list of ingredients and dishes included in the menu on the user's terminal device 10, and the user operates the terminal device 10 to select by tapping the ingested ingredients and dishes. Alternatively, since the meal information is input by describing it by text input, the input information is accepted and stored in the user database 2023 as the meal information of the user. The user's meal information is, for example, "rice (white rice) bowl (150 g)", "pork ginger for one person", "milk 200 ml" and the like.

Further, the meal information acquisition module 2035 may acquire image data of the meal taken by the user with the camera 160 of the terminal device 10 and estimate and acquire the user's meal information. For example, the meal information acquisition module 2035 receives the image data of the photographed meal because the user operates the terminal device 10 to transmit the image data of the photographed meal to the server 20. In addition, the meal information acquisition module 2035 estimates the menu and the amount of meals ingested by the user by performing image analysis of the received image data, and further estimates the nutritional value of the user ingested from these information. Get information. The meal information acquisition module 2035 may, for example, activate the camera function by the meal recording function provided in the application installed in the terminal device 10 to take a picture of the meal.

The image analysis of the image data performed by the meal information acquisition module 2035 uses, for example, a pattern recognition technology, which is a known technology, and extracts features from the appearance of the dish that is the subject of the photograph, the tableware on which the dish is served, and the like. In addition, for example, the feature amount is extracted from the image data of the food stored in the cooking recipe database 2021 in the same manner, and the type and amount of the food are determined depending on whether or not they match with a degree of matching equal to or higher than a predetermined value. To estimate. Further, in the image analysis of the image data performed by the meal information acquisition module 2035, machine learning is performed from the cooking image data stored in the cooking recipe database 2021 by a method such as supervised learning or deep learning, and the learning result is obtained. The type and amount of food may be estimated according to the above.

Further, the meal information acquisition module 2035 may access the external server by using the account information received by the user information reception module 2033 and acquire the image data of the user's meal. Here, the external server is an image data sharing service or SNS for photographs and videos mainly provided by a cloud service, and when a user transmits image data of a photographed meal, the system accepts and publishes the image data. Is. In this case, the meal information acquisition module 2035 is periodically accessed by the ID and password of the account information (when acquiring public information, the password is not necessary), and the image data of the meal is obtained from the image data of the user. To get.

Further, the meal information acquisition module 2035 may acquire information linked to the menu information of the meal recommended by the recommendation module 2038, which will be described later. The association information is information indicating whether or not the user actually cooked the menu (cooking) and ate the recommended meal menu information, and when the meal was eaten. .. For example, when a user who recommends a menu actually eats the next day or later instead of the recommended day, or when he recommends it as a supper but actually eats it as lunch the next day or later. Therefore, the meal information acquisition module 2035 acquires the link information between the recommended meal menu information and the actual meal information. Specifically, when acquiring information about a meal, the meal information acquisition module 2035 may ask the user which recommendation information is based on, and may acquire an answer to the question, and may acquire the answer to the question, and the past recommendation information. You may infer from.

The menu information determination module 2036 includes user attribute information received by the user information reception module 2033, user schedule information acquired by the schedule information acquisition module 2034, and information regarding the user's past meals acquired by the meal information acquisition module 2035. Based on this, the menu information of the meal to be consumed by the user is generated, and the process of determining the menu is controlled. At this time, the menu information determination module 2036 generates meal menu information so that the user eats a healthy meal according to each situation. The menu information determination module 2036 may combine the cooking information of the cooking recipe database 2021 from the predetermined features and determine the menu with reference to the menu configuration database 2022, or refer to the menu configuration database 2022 from the predetermined features. Then, the menu may be determined by combining the characteristics of the dishes corresponding to the characteristics from the cooking information in the cooking recipe database 2021. In addition, the menu information determination module 2036 recommends a part of the menu dish (for example, main dish), accepts change information from this dish or the user to another dish, and adapts the changed dish to the user. Other dishes (garnish, main meal, soup, etc.) may be listed and decided, and a menu may be prepared and decided.

The menu information determination module 2036 contains attribute information (for example, age, gender, occupation, pre-existing symptom or medical history, allergies, dietary preference, living environment, house composition, cooking skill, etc., stored in the user database 2023. Refer to one or more of pathological condition information, symptom information, preference information, cooking skill information, and environmental information), and schedule information to determine the characteristics of the menu to be recommended. Menu characteristics are information that indicates the characteristics of the menu as a whole or part of the ingredients, nutritional value, and cooking. For example, "easy and easy", "seasonal ingredients", and "salt content". Etc. information. The menu information determination module 2036 refers to the menu configuration database 2022 and extracts menus that match the determined features. Further, the menu information determination module 2036 determines the menu from the information on the user's past meal so as not to overlap with the menu of the latest meal. Further, the menu information determination module 2036 may determine the menu information of the meal recommended to another user as the menu of the user from the attribute information of the user, the schedule information, or the information about the user's past meal. Good.

Further, the menu information determination module 2036 may determine the menu according to the family structure of the user. When the user's family structure is composed of a plurality of people, the menu information determination module 2036 not only determines the menu for the number of people, but also determines the optimum menu according to the situation of the family of the plurality of people. Specifically, if allergic information about a predetermined food is registered for some members of the family, the food may be excluded from the menu dishes of the whole family, and the food may be excluded from the family. If preference information (mainly information about dislikes) about a certain food or cooking genre is registered for some of the people, the dishes that can be replaced for that person, for example, the cooking process halfway, are common. It may be a menu that includes dishes to be cooked. In addition, if a common meal time can be secured by referring to the family schedule information, the menu is decided according to the meal time, and if the common meal time cannot be secured and the family meal time shifts. May decide on a menu that includes reheatable (less likely to degrade) dishes so that later eaters can reheat and eat.

Further, the menu information determination module 2036 accepts the input of the information of the ingredients purchased by the user for cooking the meal in the form of, for example, a so-called shopping list, and refers to the cooking recipe database 2021 from the information of the ingredients. The dishes that make up the menu may be determined, and other dishes may be combined to determine the menu. Further, the menu information determination module 2036 may estimate the surplus foodstuff from the information of the foodstuff purchased by the user in the past and the meal information acquired by the meal information acquisition module 2035, and decide the menu from the surplus foodstuff. For example, if you purchase one cabbage and cook using 1/2 of the cabbage, you can see that the remaining 1/2 of the cabbage is a surplus ingredient, so the remaining cabbage 1 / You may decide on a menu that includes dishes that use two pieces.

Further, the menu information determination module 2036 compares the menu information of the meal recommended by the recommendation module 2038, which will be described later, with the information on the user's past meals for the recommendation, optimizes the menu information, and determines the menu information. May be good. This is to provide feedback on the recommended meal menu information. At this time, optimization may be performed based on the above-mentioned association information.

The schedule information generation module 2037 is based on the user attribute information received by the user information reception module 2033, the user schedule information acquired by the schedule information acquisition module 2034, and the user's past meal information acquired by the meal information acquisition module 2035. , Control the process of generating schedule information about the user's meals. At this time, the schedule information generation module 2037 generates schedule information regarding meals so that the user eats a healthy meal according to each situation.

The schedule information generation module 2037 grasps, for example, the user's wake-up time, work working time zone, exercise time zone, bedtime, etc. from the user's past schedule information, and any one of these information Based on one or more, the time when the user should start eating is calculated and applied to the user's schedule information to generate information. For example, since it is desirable to calculate the bedtime of the user from the average value of the past schedule information and leave a predetermined time (for example, 2 hours) from the end time of dinner to the sleep time, the schedule information generation module 2037 has the sleep time. In addition to the predetermined time of, the start time of dinner is determined in consideration of the meal time. Further, when the family structure of the user is composed of a plurality of people, the schedule information generation module 2037 applies the schedule information for the number of users to generate the information. Specifically, if there is a time zone corresponding to the meal time for the entire family of the user, schedule information may be generated as the meal time of the family, which corresponds to the meal time for some members of the family. If the time zone for the meal is not available, the schedule information may be generated as a different meal time only for that person. Further, the schedule information generation module 2037 determines the schedule information recommended to other users from the attribute information, the schedule information, or the information about the user's past meals of the user as the schedule information of the user, and generates the information. You may.

Further, the schedule information generation module 2037, for example, calculates the time when the meal cooking time should be started from the calculated time when the user should start the meal, and applies it to the user's schedule information. Information may be generated. At this time, the standard time for cooking the menu determined by the menu information determination module 2036 may be applied to the cooking time of the meal. The time for cooking the menu is calculated, for example, by combining the cooking time of the dishes stored in the cooking recipe database 2021 for a plurality of dishes constituting the menu and considering the cooking processes that can proceed simultaneously. The menu.

Further, the schedule information generation module 2037 calculates, for example, the time when the purchase of the ingredients should be started from the calculated time when the cooking of the meal should be started, in consideration of the time for purchasing the ingredients, and the user's schedule. Information may be generated by applying it to information. As the time for purchasing the ingredients, the time for purchasing the ingredients may be obtained from the user's past schedule information by an average value or the like. Further, it may be applied in consideration of the travel time to the place of purchase (store such as a supermarket) where the food is purchased.

Furthermore, the schedule information generation module 2037 may generate schedule information related to a daily rhythm such as a wake-up time, an exercise time zone, and a bedtime.

Further, the schedule information generation module 2037 may optimize by comparing the schedule information regarding the user's meal recommended by the recommendation module 2038, which will be described later, with the user's schedule information for the recommendation. This is to provide feedback on the recommended schedule information.

Here, the acquisition of the user's schedule information by the schedule information acquisition module 2034 and the estimation of the user's life rhythm by the schedule information generation module 2037 will be described. For example, the schedule information acquisition module 2034 acquires information on the user's wake-up time by prompting input by an application provided by an administrator who operates the server 20 installed in the user's terminal device 10. At this time, information on the wake-up time of the user registered in another application installed on the user's terminal device 10 may be acquired, and when the application is started in the morning time zone, the time is set. It may be estimated as the wake-up time. Starting from this wake-up time, the schedule information generation module 2037 can eat at what time zone in the user's daily activities based on the user's schedule information, or the user's health based on a predetermined standard. The user's meal time is estimated in consideration of whether it is preferable. For example, the schedule information generation module 2037 may estimate the meal time from the transmission time of the user's meal information acquired by the meal information acquisition module 2035, and it seems that the meal can be eaten from the schedule information acquired by the schedule information acquisition module 2034. Meal times may be estimated by excluding non-existent times. Specifically, if the schedule information includes a medical examination scheduled, it is estimated that the meal time will not be set after the night before (for example, 10 pm).

Further, the schedule information generation module 2037 may estimate the user's meal time from the behavior pattern for each day of the week based on the user's schedule information. For example, based on the schedule information of past users, breakfast time will be earlier because they work on weekdays, breakfast time will be later on Saturdays, Sundays, and holidays, and breakfast time will be slightly later because they are scheduled to work from home on certain days of the week. I guess. In addition, it may be estimated that the user is commuting to work or school from the age of the user and his / her family, and the behavior pattern for each day of the week may be estimated to estimate the meal time of the user. Furthermore, if there is schedule information for going out on a day presumed to be a holiday (for example, reservation information for public transportation or reservation information for accommodation facilities), it may be estimated that the meal time fluctuates.

In addition, the schedule information generation module 2037 performs back calculation from the estimated meal time and estimates the cooking time of the user. For example, the cooking time may be estimated to be a time zone immediately before the meal time and not containing the user's schedule information, or the cooking time may be estimated by estimating the family pick-up and return time. At this time, the cooking time of the user is determined from the standard cooking time (or the cooking time of another user) of the determined menu, but it may be adjusted from the cooking skill information of the user.

Further, the schedule information generation module 2037 performs back calculation from the estimated meal time and estimates the time zone in which the food can be purchased. For example, the time zone in which the user's schedule information is not included may be estimated as the time zone in which the food can be purchased, or the time zone in which the family can be picked up or returned home can be estimated to be the time zone in which the food can be purchased. .. When estimating the time zone during which the food can be purchased, the opening time of the purchaser who purchases the food and the travel time to the store may be taken into consideration from the user's address information and the like. Further, the schedule information generation module 2037 may estimate the time required for purchasing the food material from the information of the food material purchased by the user. For example, when the remaining food material is sufficient, the time required for purchasing the food material may be estimated. It may be inferred that it is possible to shorten the amount of food, or it may be inferred that there is no need to purchase ingredients.

Furthermore, the schedule information generation module 2037 includes the detection result of the position information sensor 150, the step count data registered in the application for registering the user's biological information and health information installed in the user's terminal device 10, and the like. The user's commuting time and exercise time (for example, jogging time) may be estimated by linking with the information of. Further, if the body temperature included in the biometric information of the user is high, or if the movement information or the number of steps is not detected in the estimated t commuting time or exercise time, it may be estimated that the user is in good physical condition. In this case, the menu information determination module 2036 may determine the menu when the person is in poor physical condition.

The recommendation module 2038 controls the process of transmitting the menu information of the meal determined by the menu information determination module 2036 and the schedule information regarding the meal determined by the schedule information generation module 2037 to the terminal device 10 of the user. The recommendation module 2038 may recommend either one of the meal menu information and the meal schedule information, or may recommend both. When recommending meal menu information, cooking recipe information and image data obtained by photographing the completed state of cooking may also be transmitted to the terminal device 10. Further, when recommending schedule information related to meals, the user's terminal device 10 may display a time chart on a display screen such as a calendar, and the schedule information may be displayed for recommendation. In addition, the recommendation module 2038 stores the menu information of the meal recommended to the user and the schedule information regarding the meal in the recommendation database 2024.

<2 data structure>
FIG. 4 is a diagram showing the data structures of the cooking recipe database 2021 and the menu configuration database 2022 stored in the server 20. Further, FIG. 5 is a diagram showing a data structure of the user database 2023 stored in the server 20.

As shown in FIG. 4, each of the records in the cooking recipe database 2021 has an item "cooking ID", an item "cooking name", an item "cooking feature ID", an item "ingredients", and an item "recipe information". Etc. are included.

The item "cooking ID" is information for identifying each of the cooking information constituting the menu, which is determined by the menu information determination module 2036 of the server 20.

The item "cooking name" is information on the names of dishes constituting the menu, which is determined by the menu information determination module 2036 of the server 20.

The item "cooking feature ID" is information for identifying the features of the dishes constituting the menu, which is determined by the menu information determination module 2036 of the server 20, for example, "easy and easy" indicating the features of the dish, "seasonal ingredients". , "Salt content Hikaeme" and other information tagged identification information is stored. In the item "cooking feature ID", words such as "easy and easy" indicating the features of the dish may be stored as they are.

The item "foodstuff" is information on the foodstuff necessary for cooking the dishes constituting the menu, which is determined by the menu information determination module 2036 of the server 20. As shown in FIG. 4, the item "foodstuff" may include information on the amount of foodstuff, or may store unified information as the amount for a predetermined number of people.

The item "recipe information" is recipe information indicating a process for cooking a dish constituting the menu, which is determined by the menu information determination module 2036 of the server 20, and specifically, the item "cooking process" and the item. Includes "image ID" and the like.

The item "cooking process" indicates in detail the process for cooking a dish, and is wording information posted on a Web page when a cooking recipe is recommended.

The item "image ID" is information for identifying image data indicating the state of the process of the item "cooking process", and is image data posted on a Web page when a cooking recipe is recommended.

The menu information determination module 2036 refers to the cooking recipe database 2021 when determining the dishes that make up the menu.

Each of the records in the menu configuration database 2022 includes an item "menu ID", an item "feature ID", an item "cooking ID", an item "cooking feature ID", and the like.

The item "menu ID" is information for identifying each menu information determined by the menu information determination module 2036 of the server 20.

The item "feature ID" is information for identifying the menu features determined by the menu information determination module 2036 of the server 20, and is, for example, "salt content Hikame" indicating the features of the dishes constituting the menu and the features of the entire menu. , "Low sugar", "for seniors", and other information tagged with identification information is stored. In addition, in the item "feature ID", words such as "salt content Hikaeme" indicating the feature of the menu may be stored as it is.

The item "cooking ID" is information for identifying each of the food information constituting the menu, which is determined by the menu information determination module 2036 of the server 20, and corresponds to the item "cooking ID" of the cooking recipe database 2021.

The item "cooking feature ID" is information for identifying the features of the dishes constituting the menu, which is determined by the menu information determination module 2036 of the server 20, and corresponds to the item "cooking feature ID" of the cooking recipe database 2021. ..

The menu information determination module 2036 refers to the menu configuration database 2022 when determining the menu.

As shown in FIG. 5, each of the records in the user database 2023 has an item "user ID", an item "name", an item "age", an item "gender", an item "feature ID", and an item " Includes "schedule information", item "meal information", item "browsing registration information", item "purchase history information", and the like.

The item "user ID" is information that identifies each user who receives a recommendation of information regarding meals in the recommendation system 1.

The item "name" is information indicating the name of the user who receives the recommendation of the information regarding the meal in the recommendation system 1.

The item "age" is information indicating the age of the user who receives the recommendation of the information regarding the meal in the recommendation system 1.

The item "gender" is information indicating the gender of the user who receives the recommendation of information on meals in the recommendation system 1.

The item "feature ID" is information for identifying the feature of the user who receives the recommendation of the information about the meal in the recommendation system 1, and corresponds to the item "feature ID" of the menu configuration database 2022. The item "feature ID" is added with tag information indicating the user's characteristics based on the user's attribute information and the like received by the user information reception module 2033.

The item "schedule information" is the schedule information of the user who receives the recommendation of the information related to the meal in the recommendation system 1, and is the schedule information acquired by the schedule information acquisition module 2034. Specifically, the item "schedule information" includes the item "date and time", the item "summary", and the like.

The item "date and time" is information indicating the date and time of the schedule information. The item "date and time" may be information indicating a certain time zone or information indicating a specific time.

The item "summary" is information indicating the contents of the schedule information, and for example, as shown in FIG. 5, "work (office)", "dinner", etc. indicating the contents of various action schedule information of the user are stored. There is.

The item "meal information" is information on the past meals of the user who receives the recommendation of the information on the meal in the recommendation system 1, and the meal information acquired by the meal information acquisition module 2035, for example, image data obtained by photographing the meal ingested by the user. Is. Specifically, the item "meal information" includes the item "reception date and time", the item "image ID", and the like.

The item "reception date and time" is information on the past meals of the user, for example, information indicating the date and time when the image data of the meal ingested by the user is received by the server 20.

The item "image ID" is information for identifying the image data of the meal ingested by the user. Image data may be stored in the item "image ID".

The item "browsing registration information" is information about dishes that the user who receives the recommendation of information about meals in the recommendation system 1 has browsed in the past. Specifically, the item "viewing date and time", the item "cooking ID", and the like are displayed. Including. The processing of the item will be described later.

The item "viewing date and time" is information indicating the date and time when the user has viewed the cooking information stored in the cooking recipe database 2021 in the past.

The item "cooking ID" is information for identifying each of the cooking information that the user has browsed in the past, and corresponds to the item "cooking ID" in the cooking recipe database 2021.

The item "purchase history information" is information on the foodstuffs purchased in the past by the user who receives the recommendation of the information on meals in the recommendation system 1, and is the foodstuff purchase information of the user received by the menu information determination module 2036. Specifically, the item "purchase history information" includes the item "date and time", the item "purchased item", and the like. The processing of the item will be described later.

The item "date and time" is information indicating the date and time when the user purchased the food in the past. The date and time information input by the user may be used, or the date and time information received by the server 20 after transmitting the information on the ingredients purchased by the user from the terminal device 10 may be used.

The item "purchased item" is information indicating the name and quantity of the foodstuff purchased by the user in the past.

When the user information reception module 2033 receives the user identification information and attribute information transmitted from the user terminal device 10, the user information reception module 2033 stores the user information reception module 2023 in the user database 2023. When the schedule information acquisition module 2034 acquires the schedule information, it stores it in the item "schedule information" of the user database 2023. When the meal information acquisition module 2035 acquires information on the user's past meals, the meal information acquisition module 2035 stores the information in the item "meal information" of the user database 2023. Further, when the menu information determination module 2036 acquires the information of the ingredients purchased by the user, it stores the information in the item "purchase history information" of the user database 2023.

<3 operation>
Hereinafter, the recommendation processing by the recommendation system 1 in the first embodiment will be described with reference to FIGS. 6 to 8.

FIG. 6 is a flowchart showing an example of a flow of performing the recommendation process by the recommendation system 1 of the first embodiment.

In step S111, the input operation receiving unit 181 of the terminal device 10 accepts the input operation of the user information in order to use the service of the recommendation system 1 from the user. For example, the user refers to the Web page provided by the server 20 and performs an operation of inputting the user's identification information and attribute information. The transmission / reception unit 182 transmits the user's identification information and attribute information to the server 20.

In step S121, the user information reception module 2033 of the server 20 receives the user identification information and attribute information transmitted from the terminal device 10 via the communication unit 201. The user information reception module 2033 performs a process of storing the received user identification information and attribute information in the user database 2023.

In step S112, the input operation reception unit 181 of the terminal device 10 receives an input operation of schedule information regarding its own action schedule from the user. For example, the notification control unit 184 displays a time chart of a display screen such as a calendar on the display 132, and the input operation reception unit 181 displays various action schedule information performed by the user tapping a predetermined time zone of the time chart. Accepts input operations. The transmission / reception unit 182 transmits the schedule information to the server 20.

In step S122, the schedule information acquisition module 2034 of the server 20 receives the user's schedule information transmitted from the terminal device 10 via the communication unit 201. The schedule information acquisition module 2034 performs a process of storing the received schedule information of the user in the item "schedule information" of the user database 2023.

In step S113, the input operation reception unit 181 of the terminal device 10 receives an input operation of information about its own past meal from the user. For example, the notification control unit 184 displays a list of ingredients and dishes included in the menu on the display 132, and the input operation reception unit 181 selects by tapping the ingredients and dishes ingested by the user, or by text input. Accepts the input operation of information about past meals performed by writing. Further, for example, the input operation receiving unit 181 receives the operation of the camera 160 from the user. The camera 160 captures the meal of the user to be photographed by the input operation of the user. The data processing unit 183 stores the image data captured by the camera 160 and the timing information at the time of capture in the storage unit 170. The transmission / reception unit 182 transmits information about past meals (meal image data) to the server 20.

In step S123, the meal information acquisition module 2035 of the server 20 receives information (meal image data) regarding the user's past meals transmitted from the terminal device 10 via the communication unit 201. The meal information acquisition module 2035 performs a process of storing information on the past meals of the received user in the item "meal information" of the user database 2023.

In step S124, the menu information determination module 2036 of the server 20 is based on the user attribute information received in step S121, the user's schedule information acquired in step S122, and the user's past meal information acquired in step S123. With reference to the cooking recipe database 2021 and the menu composition database 2022, the menu of the meal to be consumed by the user is determined and the menu information is generated. At this time, the menu information determination module 2036 generates meal menu information so that the user eats a healthy meal according to each situation.

In step S125, the schedule information generation module 2037 of the server 20 is based on the user attribute information received in step S121, the user's schedule information acquired in step S122, and the user's past meal information acquired in step S123. Performs processing to generate schedule information related to the user's meal. At this time, the schedule information generation module 2037 generates meal menu information so that the user eats a healthy meal according to each situation.

In step S126, the recommendation module 2038 of the server 20 performs a process of transmitting to the terminal device 10 of the user in order to recommend the menu information of the meal determined in step S124 and the schedule information regarding the meal determined in step S125. The recommendation module 2038 performs a process of transmitting meal menu information and meal schedule information to the terminal device 10 used by the user via the communication unit 201.

In step S116, the transmission / reception unit 182 of the terminal device 10 receives the meal menu information and the meal schedule information transmitted from the server 20. The notification control unit 184 displays the menu information of the received meal and the schedule information related to the meal on the display 132, and recommends the user.

In step S127, the recommendation module 2038 of the server 20 performs a process of storing the menu information of the meal recommended to the user and the schedule information related to the meal in the recommendation database 2024.

As described above, in the recommendation system 1, the menu of meals to be ingested by the user and the schedule information regarding the meals of the user are generated based on the attribute information of the user, the schedule information of the user, and the information regarding the past meals of the user. .. Meal menus and schedule information about the user's meals are transmitted and recommended to the user. This makes it possible to recommend information on the optimal meal according to the user's past meal status and schedule information.

FIG. 7 is a flowchart showing another example of the flow of performing the recommendation process by the recommendation system 1 of the first embodiment. In the recommendation process in the flowchart shown in FIG. 7, steps S211 to S223 are performed instead of steps S111 to S123 of the recommendation process in the flowchart shown in FIG. 6, and therefore the duplicated process will not be described repeatedly.

In step S211 of the terminal device 10, the input operation receiving unit 181 receives the input operation of the user's identification information and attribute information from the user, and inputs the account information (ID, password, etc.) for acquiring the information from the external server. Accept operations. The transmission / reception unit 182 transmits the user's identification information, the attribute information, and the user's account information to the server 20.

In step S221, the user information reception module 2033 of the server 20 receives the user identification information and attribute information and the user account information transmitted from the terminal device 10 via the communication unit 201. The user information reception module 2033 performs a process of storing the received user identification information, attribute information, and user account information in the user database 2023.

In step S222, the schedule information acquisition module 2034 of the server 20 accesses the external server using the account information received in step S221 and acquires the schedule information of the user. The schedule information acquisition module 2034 performs a process of storing the acquired schedule information of the user in the item "schedule information" of the user database 2023.

In step S223, the meal information acquisition module 2035 of the server 20 accesses the external server using the account information received in step S221 and acquires the image data of the user's meal. The schedule information acquisition module 2034 performs a process of storing information on the past meals of the received user in the item "meal information" of the user database 2023.

As described above, in the recommendation system 1, the external server is accessed using the input account information, and the user's schedule information and the user's meal image data are acquired. Therefore, it becomes possible to receive information from the schedule management system, the image data sharing service, or the SNS that the user usually uses. As a result, the user can synchronize with other cloud services or the like without inputting to the recommendation system 1.

FIG. 8 is a flowchart showing another example of the flow of performing the recommendation process by the recommendation system 1 of the first embodiment. As for the recommendation process in the flowchart shown in FIG. 8, steps S311 and S321 are added as subsequent processes of the recommendation process steps S112 and S122 in the flowchart shown in FIG. 6, and step S322 is performed instead of step S124. , Duplicate processing will not be explained repeatedly. The processing of step S311 and step S321 is not limited to the subsequent processing of step S112 and step S122, and may be performed as the subsequent processing of step S113 and step S123, for example. Further, in the flowchart shown in FIG. 8, the illustration of step S111 and step S121 is omitted.

In step S311, the input operation reception unit 181 of the terminal device 10 accepts the input of the information of the ingredients purchased for cooking the meal from the user. The transmission / reception unit 182 transmits information on the ingredients purchased by the user to the server 20.

In step S321, the menu information determination module 2036 of the server 20 receives the information of the foodstuff purchased by the user transmitted from the terminal device 10 via the communication unit 201. The menu information determination module 2036 performs a process of storing the information of the ingredients purchased by the received user in the item "purchase history information" of the user database 2023.

In step S322, the menu information determination module 2036 of the server 20 determines the dishes constituting the menu from the information of the ingredients received in step S321 with reference to the cooking recipe database 2021 and the menu composition database 2022, and determines other dishes. Perform the process of determining the menu in combination.

As described above, in the recommendation system 1, the menu information of the meal to be ingested by the user is generated based on the input information of the foodstuff purchased by the user, and the menu is determined. This makes it possible to recommend menus that make effective use of surplus ingredients.

<4 screen example>
Hereinafter, a screen example of the recommendation processing of the meal menu information and the schedule information related to the meal by the recommendation system 1 will be described with reference to FIGS. 9 to 11.

FIG. 9 is a diagram showing a screen example of a calendar display of the terminal device 10 in the recommendation processing. The screen example of FIG. 9 shows a screen example in which a calendar for selecting a date for recommending meal menu information and meal schedule information is displayed. Corresponds to step S116 of FIGS. 6 to 8.

As shown in FIG. 9, the calendar display 1031a is displayed on the display 132 of the terminal device 10. The calendar display 1031a is a monthly display of a calendar including the date of the recommended schedule information (for example, the date when the application providing the service is started), and this display format is daily or weekly. It is possible to change it in units of two months. Further, on the calendar display 1031a, the date display 1031b indicating the date of the recommended schedule information is highlighted, and when this date is selected by tapping or the like, the menu schedule of the date indicated by the date display 1031b, which will be described later, is displayed. It is supposed to be displayed. Further, when another date in the calendar display 1031a is selected by tapping or the like, the date display 1031b moves to another selected date, and the menu schedule for that date is displayed.

FIG. 10 is a diagram showing a screen example of the menu schedule display of the terminal device 10 in the recommendation processing. The screen example of FIG. 10 shows a screen example in which the menu information of the recommended daily meal and the schedule information related to the meal are displayed. Corresponds to step S116 of FIGS. 6 to 8.

As shown in FIG. 10, on the display 132 of the terminal device 10, a date display 1032a indicating the date of the recommended schedule information is displayed upward. Further, below the date display 1032a, time display 1032b of the recommended daily meal schedule information and menu summary information 1032c of each meal are displayed as meal menu information and meal schedule information. The menu. In addition to the menu summary information 1032c, information other than meals such as getting up and commuting may be displayed below the time display 1032b. When the menu summary information 1032c is selected by tapping or the like, the menu details of the menu, which will be described later, are displayed. Further, when a different date in the date display 1032a is selected by tapping or the like, the date display 1032a moves to the selected different date, and the menu information of the meal and the schedule information related to the meal on that date are displayed. It has become. Further, a menu addition button 1032d is provided on this screen, and an arbitrary menu can be added by tapping or selecting the menu addition button 1032d.

FIG. 11 is a diagram showing a screen example of the menu details display of the terminal device 10 in the recommendation processing. The screen example of FIG. 11 shows a screen example in which the details of the recommended menu information are displayed. Corresponds to step S116 of FIGS. 6 to 8.

As shown in FIG. 11, the menu title display 1033a is displayed on the display 132 of the terminal device 10. In the menu title display 1033a, a wording indicating the characteristics of the menu in one word is shown as a title, and further, energy, nutritional value, etc. that can be ingested in the menu are displayed. Further, detailed information 1033b is displayed below the menu title display 1033a, and information on the date and time when the menu is eaten, meal memos of the menu (impressions by other users, etc.), completed photographs, etc. are displayed. ing. The information to be displayed in the detailed information 1033b is not limited to these information, and for example, recipe information and other nutritional value information may be displayed.

<Summary>
As described above, according to the present embodiment, the user's attribute information, the user's schedule information, and the information about the user's past meals are acquired, and based on these information, the menu of the meal to be ingested by the user and the user's Schedule information about meals is generated. Meal menus and schedule information about the user's meals are transmitted and recommended to the user. This makes it possible to recommend information on the optimal meal according to the user's past meal status and schedule information.

In addition, the recommended meal schedule information of the user is generated by applying it to the user's schedule information, and the time when the user should start the meal, the time when the meal should be cooked, or the time when the purchase of ingredients should be started. Is recommended. This makes it possible to recommend highly accurate schedule information.

In addition, the menu information of the meal ingested by the recommended user is generated and recommended by applying it to the attribute information such as the user's pathological condition information, symptom information, and preference information, and the user's schedule information. This makes it possible to recommend menus according to the user's condition.

<Second embodiment>
Hereinafter, other embodiments of the recommendation system 1 will be described.

<1 Overall configuration of recommendation system 1>
FIG. 12 is a diagram showing a functional configuration of the server 20 constituting the recommendation system 1 of the second embodiment. The overall configuration of the recommendation system 1 and the configuration of the terminal device 10 in the second embodiment are the same as those in the first embodiment, and will not be described repeatedly. As shown in FIG. 12, the configuration of the server 20 is the same as that of the first embodiment except that the menu history acquisition module (menu history acquisition unit) 2039 is newly provided. Hereinafter, the function of the menu history acquisition module 2039 in the second embodiment will be described.

The menu history acquisition module 2039 includes history information that the user has accessed and browsed on the terminal device 10 on a Web page for posting cooking recipe and menu information provided by the server 20, and cooking recipe and menu information that the user has browsed. Or, control the process of acquiring the history information in which the menu information configured by the user browsing the cooking information is registered. The menu history acquisition module 2039 acquires the information of the history viewed by the user from the access log, the tracking log, etc., and the information of the history registered by the user is transmitted from the terminal device 10 by the operation of the user, so that the information is received. And get it. The history information registered by the user is, for example, information registered by a function of registering as a favorite menu, or information registered as a menu composed of a combination of favorites and dishes desired to be made in the future.

The menu information determination module 2036 of the present embodiment is ingested by the user based on the history information acquired by the menu history acquisition module 2039 in addition to the user's attribute information, the user's schedule information, and the information on the user's past meals. It determines the menu of meals and controls the process of generating menu information. For example, in the menu information determination module 2036, when the cooking genre of the main dish of the menu does not overlap with the information on the past meal of the latest user from the menu information registered by the user and the menu information registered as a favorite. , May be decided as a menu. In addition, the menu information determination module 2036 presumes that the information about the user's past meals is presumed to be prepared if there is an extra cooked dish estimated from the user's family structure, and the next meal. At that time, the dish or an arranged dish using the dish may be combined as a menu. Further, the menu information determination module 2036 estimates that sufficient cooking time can be secured when the user's work is estimated to be a holiday from the user's schedule information, and cooks by comparing with the information on the user's past meals. Even if it is a time-consuming and time-consuming dish, it may be combined with the menu, and further, the history information viewed by the user and the information of the dish registered as a favorite may be combined with the menu. May be decided. Furthermore, when a user is browsing cooking or menu information, if a specific search word is used, the user's symptoms and physical condition are inferred from the search word, and the search word is registered as tag information. You may decide which menu information you have. For example, when a search word such as "cold" or "hangover" is searched.

Even if the schedule information generation module 2037 of the present embodiment is presumed to be a time zone in which the user can cook, for example, when the user has browsed the cooking, menu, and recipe information for a long time. Good. Further, the schedule information generation module 2037 presumes that the cooking time can be shortened when it is presumed that the user is preparing the food from the information on the user's past meal as described above. The schedule information may be generated by calculating the time when the cooking of the meal should be started. Further, the schedule information generation module 2037 estimates that sufficient cooking time can be secured when the user's work is presumed to be a holiday from the user's schedule information, and generates schedule information so as to lengthen the cooking time. You may.

<2 data structure>
The data structure in the second embodiment is the same as that in the first embodiment.

When the menu history acquisition module 2039 acquires the history information, it stores it in the item "browsing registration information" of the user database 2023 shown in FIG. In addition, the menu information determination module 2036 refers to the item "browsing registration information" in the user database 2023 to generate menu information for meals to be consumed by the user.

<Summary>
As described above, according to the present embodiment, the meal to be consumed by the user is based on the history information of the cooking recipe and menu information viewed by the user or the history information of the cooking recipe and menu information registered by the user. Generate menu information. Therefore, the menu can be recommended from the cooking recipes and menu information that the user is presumed to be interested in. This makes it possible to recommend menus according to the user's taste.

<Third embodiment>
Hereinafter, other embodiments of the recommendation system 1 will be described.

<1 Overall configuration of recommendation system 1>
FIG. 13 is a diagram showing a functional configuration of the server 20 constituting the recommendation system 1 of the third embodiment. The overall configuration of the recommendation system 1 and the configuration of the terminal device 10 in the third embodiment are the same as those in the first embodiment, and will not be described repeatedly. As shown in FIG. 13, the configuration of the server 20 is the same as that of the first embodiment except that it is newly provided with the function of the position information acquisition module (position information acquisition unit) 2040. Hereinafter, the function of the position information acquisition module 2040 in the third embodiment will be described.

In the position information acquisition module 2040, the position information transmission unit 186 of the terminal device 10 used by the user who receives the recommendation of information about meals using the recommendation system 1 transmits the position information of the terminal device 10 to the server 20. Controls the process of acquiring the transmitted location information. The position information acquisition module 2040 transmits a position information transmission request to the terminal device 10, and the position information transmission unit 186 transmits the current position information detected by the position information sensor 150. Therefore, the transmitted position information is transmitted. get. The position information acquisition module 2040 stores the acquired position information in the user database 2023, but the illustration is omitted.

The schedule information generation module 2037 of the present embodiment determines the purchase destination (store such as a supermarket) from the user's current position based on the position information acquired by the position information acquisition module 2040, and goes to the store. The time when the purchase of ingredients should be started is calculated in consideration of the travel time of the user, and the process of generating the information is controlled by applying it to the user's schedule information. For example, when the schedule information generation module 2037 estimates the time zone in which it is possible to purchase ingredients, the opening time of the purchaser who purchases the ingredients and the travel time to the store are based on the location information acquired by the location information acquisition module 2040. You may guess in consideration of.

<2 data structure>
The data structure in the third embodiment is the same as that in the first embodiment.

<3 operation>
Hereinafter, the recommendation processing by the recommendation system 1 in the third embodiment will be described with reference to FIG. FIG. 14 is a flowchart showing an example of a flow of performing the recommendation process by the recommendation system 1 of the third embodiment. Since the recommendation process in the flowchart shown in FIG. 14 is the subsequent process of step S113 and step S123 of the recommendation process in the flowchart shown in FIG. 6, steps S411, S421, and step S422 are added, so that the overlapping processes are Will not be explained repeatedly. In the flowchart shown in FIG. 14, the illustration of step S111 and step S121 is omitted.

In step S411, the position information sensor 150 of the terminal device 10 detects the current position of the terminal device 10. The data processing unit 183 performs a process of storing the position information detected by the position information sensor 150 in the storage unit 170. The transmission / reception unit 182 transmits the user's position information to the server 20.

In step S421, the position information acquisition module 2040 of the server 20 performs a process of receiving the user's position information transmitted from the terminal device 10 via the communication unit 201. The position information acquisition module 2040 stores the received user's position information in the user database 2023.

In step S422, the schedule information generation module 2037 of the server 20 performs a process of determining a purchase destination (store such as a supermarket) to purchase the optimum foodstuff from the user's current position based on the position information acquired in step S421. The schedule information generation module 2037 calculates the time when the purchase of ingredients should be started in consideration of the determined travel time to the store, and applies it to the user's schedule information to generate information.

<Summary>
As described above, according to the present embodiment, the current position of the user is acquired, and the purchase destination (store such as a supermarket) for purchasing the optimum foodstuff is determined from the current position of the user. From the travel time to the store, the time when the purchase of ingredients should be started is calculated, the schedule information is generated, and the recommendation is made. This makes it possible to generate and recommend appropriate schedule information according to the user's current position.

Although the embodiments related to the disclosure have been described above, these can be implemented in various other embodiments, and can be implemented by making various omissions, substitutions, and changes. These embodiments and modifications, as well as those omitted, replaced or modified, are included in the technical scope of the claims and the equivalent scope thereof.

<Additional notes>
The matters described in each of the above embodiments will be added below.

(Appendix 1) An information processing device provided with a control unit for providing a service for recommending information on meals. The control unit includes a schedule information acquisition unit for acquiring schedule information of a user who receives the service. A meal information acquisition unit that acquires information about meals that the user has eaten in the past, and an information generation unit that generates information about the user's meals based on the user's attribute information, schedule information, and information about the meals that the user has eaten in the past. An information processing device including a recommendation unit that recommends information about the user's meal.

(Appendix 2) The information processing device according to (Appendix 1), wherein the information generation unit generates schedule information related to the user's meal, and the recommendation unit recommends the schedule information related to the user's meal.

(Appendix 3) The information processing device according to (Appendix 2), wherein the recommendation unit displays schedule information related to the user's meal on a time chart that can be viewed by the user and makes recommendations.

(Appendix 4) The information generation unit calculates the time when the user should start a meal and generates schedule information regarding the meal according to the user's meal start time. The information according to (Appendix 2) or (Appendix 3). Processing equipment.

(Appendix 5) The information generation unit should allow the user to start a meal based on any one or more of the user's past wake-up time, work working time, exercise time, and bedtime in the schedule information. The information processing apparatus according to (Appendix 4), which calculates a time.

(Appendix 6) The information generation unit calculates the time when the user should start cooking the meal, and generates schedule information regarding the meal according to the user's cooking start time, as described in (Appendix 2) or (Appendix 3). Information processing equipment.

(Appendix 7) The information generation unit determines the meal menu recommended to the user, calculates the time when the user should start cooking the meal menu, and generates schedule information about the meal according to the user's cooking start time. However, the recommendation section is the information processing device according to (Appendix 6), which recommends meal menus and schedule information related to the user's meals.

(Appendix 8) The information generation unit determines the meal menu based on any one or more of the user's pathological condition information, symptom information, preference information, cooking skill information, and environmental information included in the user's attribute information. The information processing apparatus according to (Appendix 7).

(Appendix 9) The control unit further includes a menu history acquisition unit that acquires the history of menu information viewed or registered by the user, and the information generation unit prepares meals based on the menu information viewed or registered by the user. The information processing apparatus according to (Appendix 7) or (Appendix 8) to be determined.

(Appendix 10) The information generation unit calculates the time when the user should start purchasing ingredients for cooking the meal menu, generates schedule information about meals according to the user's food purchase start time, and recommends the recommendation unit. Is an information processing device according to any one of (Appendix 7) to (Appendix 9), which recommends ingredients to be purchased by the user.

(Appendix 11) The control unit further includes a position information acquisition unit that acquires the position information of the terminal device used by the user, and the information generation unit determines the purchase destination to purchase the foodstuff based on the position information, and the user The information processing device according to (Appendix 10), which calculates the travel time to the purchase destination and calculates the time when the purchase of ingredients should be started.

(Appendix 12) The information processing device according to (Appendix 10) or (Appendix 11), wherein the information generation unit determines a meal menu based on information on ingredients purchased by the user in the past.

(Appendix 13) The information processing device according to any one of (Appendix 7) to (Appendix 12), wherein the recommendation unit recommends recipe information for cooking a meal menu.

(Appendix 14) The information generation unit generates schedule information related to the user's life rhythm, and the recommendation unit recommends schedule information related to the user's life rhythm, according to any one of (Appendix 1) to (Appendix 13). Information processing device.

(Appendix 15) The information processing device according to (Appendix 14), wherein the information generation unit estimates the user's life rhythm based on the schedule information and generates schedule information related to the user's life rhythm.

(Appendix 16) The information according to any one of (Appendix 1) to (Appendix 15), wherein the meal information acquisition unit acquires information on the meal that the user has ingested in the past based on the image data obtained by photographing the user's meal. Processing equipment.

(Appendix 17) The information according to any one of (Appendix 1) to (Appendix 16), in which the schedule information acquisition unit estimates and acquires the schedule information related to the user's meal based on the image data obtained by photographing the user's meal. Processing equipment.

(Appendix 18) The information generation unit generates information on the user's meal based on the information on the user's meal recommended to the user and the information on the user's meal acquired after recommending the information to the user. The information processing apparatus according to any one of (Appendix 1) to (Appendix 17).

(Appendix 19) The information generation unit generates information on the user's meal recommended to the user, information on the user's attribute information, schedule information, or information on the meal of another user whose information on the user's past ingested meal is similar. The information processing apparatus according to any one of (Appendix 1) to (Appendix 18).

(Appendix 20) A method for providing a service executed by a computer equipped with a processor and recommending information on meals, wherein the processor acquires schedule information of a user who receives the service. A step to acquire information about the user's past meals, a step to generate information about the user's meal based on the user's attribute information, schedule information, and information about the user's past meals, and the user's meal. Steps to recommend information about and how to do it.

(Appendix 21) A program for providing a service of recommending information about meals by causing a computer equipped with a processor to execute the program. The program is a step of acquiring the schedule information of a user who receives the service from the processor. A step to acquire information about the user's past meals, a step to generate information about the user's meal based on the user's attribute information, schedule information, and information about the user's past meals, and the user's meal. A program that executes the steps that recommend information about.

10 terminal equipment, 20 servers, 80 networks, 171 user information, 22 communication IF, 23 input / output IF, 25 memory, 26 storage, 29 processors, 201 communication unit, 202 storage unit, 2021 cooking recipe database, 2022 menu configuration database, 2023 user database, 2024 recommendation database, 203 control unit, 2031 reception control module, 2032 transmission control module, 2033 user information reception module, 2034 schedule information acquisition module (schedule information acquisition unit), 2035 meal information acquisition module (meal information acquisition unit) ), 2036 menu information determination module (information generation unit), 2037 schedule information generation module (information generation unit), 2038 recommendation module (recommendation unit), 2039 menu history acquisition module (menu history acquisition unit), 2040 location information acquisition module ( Location information acquisition department)

Claims (18)

It is an information processing device that has a control unit and provides a service that recommends information about meals.
The control unit
A schedule information acquisition unit that acquires schedule information of a user who receives the service, and
A meal information acquisition unit that acquires information on the meals that the user has ingested in the past,
An information generation unit that generates schedule information related to the user's meal based on the user's attribute information, the schedule information, and information on the user's past ingested meals.
For example Bei and a recommendation unit that recommendation the schedule information about the diet of the user,
The schedule information acquisition unit acquires the wake-up time of the user and obtains the wake-up time of the user.
The information generation unit estimates the life rhythm of the user based on the schedule information of the user, excludes the time zone during which meals are impossible from the action schedule information of the user, starting from the wake-up time, and excludes the user. Estimate the time zone during which meals can be eaten in the daily activities of the user, estimate the meal time preferable to the user's health from the time zone during which the previous period meals are possible, and generate schedule information regarding the user's life rhythm and meals. And
The recommendation unit is an information processing device that recommends schedule information related to the user's life rhythm and meals. The information processing device according to claim 1 , wherein the recommendation unit displays schedule information related to the user's meal on a time chart that can be viewed by the user and recommends the user. The information processing device according to claim 1 or 2 , wherein the information generation unit calculates a time when the user should start a meal and generates schedule information regarding a meal according to the meal start time of the user. The information generation unit should start a meal for the user based on any one or more of the user's past wake-up time, work working time zone, exercise time zone, and bedtime in the schedule information. The information processing device according to claim 3 , which calculates the time. The information processing according to claim 1 or 2 , wherein the information generation unit calculates a time when the user should start cooking a meal and generates schedule information regarding the meal according to the cooking start time of the user. apparatus. The information generation unit determines the menu of meals recommended to the user, calculates the time when the user should start cooking the menu of the meal, and sets the schedule information regarding the meal according to the cooking start time of the user. Generate and
The information processing device according to claim 5 , wherein the recommendation unit recommends the menu of the meal and the schedule information regarding the meal of the user. The information generation unit determines the menu of the meal based on any one or more of the user's pathological condition information, symptom information, preference information, cooking skill information, and environmental information included in the attribute information of the user. The information processing apparatus according to claim 6. The control unit further
It is equipped with a menu history acquisition unit that acquires the history of menu information viewed or registered by the user.
The information processing device according to claim 6 or 7 , wherein the information generation unit determines the menu of the meal based on the menu information viewed or registered by the user. The information generation unit calculates the time when the user should start purchasing the ingredients for cooking the menu of the meal, and generates schedule information about the meal according to the time when the user starts purchasing the ingredients.
The information processing device according to any one of claims 6 to 8 , wherein the recommendation unit recommends ingredients to be purchased by the user. The control unit further
A position information acquisition unit for acquiring the position information of the terminal device used by the user is provided.
The information generating unit, a purchase to purchase the ingredients was determined based on the position information, calculates the time movement to calculate the time to start the purchase of the ingredients to purchase of the user, wherein Item 9. The information processing apparatus according to item 9. The information processing device according to claim 9 or 10 , wherein the information generation unit determines the menu of the meal based on the information of the foodstuff purchased by the user in the past. The information processing device according to any one of claims 6 to 11 , wherein the recommendation unit recommends recipe information for cooking the meal menu. The information processing according to any one of claims 1 to 12 , wherein the meal information acquisition unit acquires information on meals that the user has ingested in the past based on image data obtained by photographing the user's meal. apparatus. The information processing according to any one of claims 1 to 13 , wherein the schedule information acquisition unit estimates and acquires schedule information related to the user's meal based on image data obtained by photographing the user's meal. apparatus. The information generation unit generates information about the user's meal based on the information about the user's meal recommended to the user and the information about the user's meal acquired after recommending the information to the user. The information processing apparatus according to any one of claims 1 to 14. The information generation unit uses the information about the user's meal recommended to the user as information about the meal of another user whose attribute information, the schedule information, or the information about the meal that the user has ingested in the past is similar. to generate the distribution, the information processing apparatus according to any one of claims 1 to 15. A method of providing a service that is run by a computer with a processor and recommends information about meals.
In the method, the processor
The step of acquiring the schedule information of the user who receives the service and
Steps to obtain information about the user's past meals and
A step of generating schedule information regarding the user's meal based on the user's attribute information, the schedule information, and information regarding the user's past ingested meals.
A step of recommending a schedule information dietary of the user, the run,
In the step of acquiring the schedule information of the user, the wake-up time of the user is acquired, and the user's wake-up time is acquired.
In the step of generating the schedule information regarding the user's meal, the life rhythm of the user is estimated based on the schedule information of the user, and the time during which meal is impossible from the action schedule information of the user starting from the wake-up time. Excluding the band, the time zone during which the user can eat in the daily behavior of the user is estimated, and the meal time preferable for the user's health is estimated from the time zone during which the previous period meal is possible, and the life rhythm of the user. And generate schedule information about meals ,
A method of recommending the user's life rhythm and meal schedule information in the step of recommending the user's meal schedule information. It is a program for providing a service that allows a computer equipped with a processor to execute and recommend information about meals.
The program is delivered to the processor.
The step of acquiring the schedule information of the user who receives the service and
Steps to obtain information about the user's past meals and
A step of generating schedule information regarding the user's meal based on the user's attribute information, the schedule information, and information regarding the user's past ingested meals.
To execute the step of recommending the schedule information regarding the user's meal ,
In the step of acquiring the schedule information of the user, the wake-up time of the user is acquired, and the user's wake-up time is acquired.
In the step of generating the schedule information regarding the user's meal, the life rhythm of the user is estimated based on the schedule information of the user, and the time during which meal is impossible from the action schedule information of the user starting from the wake-up time. Excluding the band, the time zone during which the user can eat in the daily behavior of the user is estimated, and the meal time preferable for the user's health is estimated from the time zone during the previous period meal, and the life rhythm of the user. And generate schedule information about meals ,
A program that recommends the user's life rhythm and meal schedule information in the step of recommending the user's meal schedule information.

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