JP2013058061A - Menu recommending server, menu recommending system, menu recommending method, program, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a menu recommending server and the like recommending, on the basis of information related to a user, a menu that is suited to the user and favorable from a standpoint of effective use of food materials.SOLUTION: A storage unit 202 of a menu recommending server 5 stores menu recommendation information 121 including a plurality of items 217 used for determining a menu to be recommended to a user and item information 219, menu information 127 representing a menu 271 and food materials 273a to be used and the like. The menu recommending server 5, by referring to reference information 123 in recommendation on each of the item information 219 of the item 217 selected by the user, extracts menus recommended from the item information 219, from the menu information 127; selects menus for material adjusting days 293 selected by the user so as to match the menu recommended from the item information 219 with the food materials; and determines the menus for the days of using.

Description

  The present invention relates to a menu recommendation server, a menu recommendation system, a menu recommendation method, a program, and a recording medium for recommending a menu to a user based on information about the user.

  2. Description of the Related Art Conventionally, there is a system that allows a user to purchase foodstuffs at an internet supermarket using the Internet. However, for users who actually look at products at food supermarkets, etc., and purchase ingredients while considering menus, they decide on menus and purchase ingredients from ingredients displayed on terminals such as personal computers. Is difficult.

  In addition, unlike the purchase of books or the like, dozens of items may be purchased when purchasing ingredients. Therefore, there also exists a problem that the load which selects foodstuffs is high.

  In order to solve such a problem, there are various methods for recommending a menu to a user using information about the user (Patent Documents 1 to 4).

JP 2000-67029 A JP 2002-297892 A JP 2004-265446 A JP 2002-259777 A

These methods recommend menus based on various information such as the age and sex of the user, but there is a concept of conflicting with these information. For this reason, there is a problem that the recommendation result requested by the user cannot be obtained when the information or the recommendation result from each information is simply integrated by a method such as quantification and addition, and the recommendation of the menu is thereby performed. .
For example, when there is information that the user prefers “a rich meal” and “the diet is in progress”, if these are simply integrated and used for recommendation, a menu that fits the user's preference However, a halfway menu that is not a low-calorie menu suitable for users on a diet may be recommended.

  In addition, when recommending these menus, it is preferable for the user to consider the effective use of ingredients. When purchasing ingredients for the recommended menu simply, the remaining ingredients cannot be used effectively, and there are many situations where ingredients remain. In Patent Document 4, food materials remaining in stock in the home are registered in advance and used for menu recommendation. However, it is troublesome and inconvenient for a user to register food materials in stock.

  Furthermore, from the viewpoint of delivery efficiency, it is desirable for retailers such as Internet supermarkets to purchase food for several days at once by the user. As a method for encouraging collective purchases, there are many cases where the delivery fee is free when the purchase price is a predetermined amount or more, but there is also an aspect in which the user is forced to pay a financial burden.

  The present invention has been made in view of such a problem, and provides a menu recommendation server or the like that recommends a menu that is suitable for a user and that is preferable from the viewpoint of effective use of ingredients, based on information about the user. Objective.

  A first invention for achieving the above-described object is a menu recommendation server for recommending a menu to the user, which is connected to a user terminal of the user, and determines a menu recommended to the user. A plurality of items to be used and menu recommendation information including item information indicating contents of the item, menu information indicating menu and ingredients used for the menu, storage means for storing, based on the menu recommendation information, to the user Menu recommendation means for determining a predetermined number of menus to be recommended from the menu information, the menu recommendation means for each item information of the item selected among the menu recommendation information The menu recommended by the item information is extracted from the menu information, and the predetermined number of menus are determined so that the ingredients used for the predetermined number of menus are common. Is a menu recommendation server which is characterized in that.

According to the first invention, even when there are a plurality of items used for recommending a menu, it is possible to process them in parallel and recommend a plurality of menus without canceling the characteristics of each item. it can. Therefore, a menu suitable for the user can be obtained. Furthermore, these items can be easily added and expanded by setting, and can be easily adapted to the user's request.
Also, since multiple menus are selected so that the ingredients are common, even if you leave extra ingredients at the time of cooking for the menu, you can adjust it to use it at the time of cooking for another menu, and finally leave extra ingredients It is easy to use it effectively. Furthermore, if a plurality of recommended menu ingredients are purchased in a lump, delivery can be performed together and the delivery efficiency is naturally improved, and the user is not forced to pay a financial burden. Moreover, since the purchase amount for every foodstuff can be increased by sharing the foodstuff, it is often cheaper than purchasing a small quantity of many foodstuffs.

The menu recommending unit extracts a menu recommended from the item information from the menu information corresponding to each item information of the item selected by the user, and sets the number of food adjustment menus set by the user. It is desirable to determine the predetermined number of menus by selecting the menu for each minute so that the menu recommended by the item information is common to the ingredients.
The menu recommendation means extracts one or a plurality of menus recommended from the item information from the menu information corresponding to each of the item information of the predetermined number of items selected by the user, and It is also desirable to determine the predetermined number of menus by selecting one menu from the extracted one or more menus so that the food used for the predetermined number of menus is common.
Thereby, while the menu suitable for a user is extracted suitably from the item information of each item, the foodstuffs of these menus can be made common, and effective utilization of foodstuffs can be aimed at. In the former case, food adjustment menus are provided, so that the sharing of ingredients between menus is more reliably realized. In the latter case, each menu is a menu recommended from the item information of the item selected by the user. It is possible to more reflect the user's request for menu.

Preferably, the menu recommendation means determines the predetermined number of menus according to the number of types of foods common to the predetermined number of menus set by the user.
Accordingly, since a plurality of menus can be determined according to the number of types of foods desired by the user, variations of the menus recommended to the user can be made variable. For example, if the number of types of ingredients is increased (less common types of ingredients), the user can enjoy a menu using various ingredients, and if this is reduced (more common types of ingredients) Ingredients can be made more common between menus, and the ingredients can be used more effectively.

The menu recommendation server according to the first aspect of the present invention further includes menu information transmission means for transmitting the menu information of the predetermined number of menus to the user terminal as a menu recommendation screen capable of selecting and purchasing ingredients used for the menu. It is desirable to have it.
Thereby, while being able to obtain the information regarding a menu easily, the user can select and purchase the foodstuff used for a menu. Thereby, it becomes possible to purchase ingredients except for unnecessary ingredients such as ingredients at hand of the user as stock. Therefore, it is possible to effectively use the ingredients while omitting the trouble of registering the ingredients remaining in stock at home in the system or the like.

Further, the menu recommendation server of the first invention displays the items used for recommending the menu with the menu information of the predetermined number of menus, and the menu recommendation screen for changing the items used for recommending the menu Further comprising a menu information transmitting means for transmitting to the user's terminal as the menu recommendation means, when the item is changed on the menu recommendation screen, corresponding to the item information of the item after the change, It is desirable to extract again the menu recommended from the item information after the change from the menu information.
Thereby, the user can easily obtain information regarding the menu and also specify the item used for the recommendation, so that the reason for recommending the menu can also be known. Further, since the menu is extracted again according to the item information of the item after the change due to the item change, the user can change the menu when the recommended menu is not satisfactory.

The storage means further stores refined reference information that links the item information and prohibited menu information that determines menus that are not extracted in accordance with the item information, and the menu recommendation means includes the item information in the item information It is desirable to determine the predetermined number of menus from a menu other than the menu determined by the prohibited menu information linked.
Thereby, a menu that is unfavorable for the user is not recommended from the item information, so that a menu recommended from the item information of one item is not preferable for the user from the viewpoint of the item information of another item. .

  A second invention is a menu recommendation system for recommending a menu to the user, wherein a user terminal of the user and a menu recommendation server are connected via a network, wherein the menu recommendation server is connected to the user Storage means for storing menu recommendation information including a plurality of items used for determining a menu to be recommended and item information indicating contents of the item, and menu information indicating the menu and ingredients used for the menu, and the menu recommendation information Menu recommendation means for determining a predetermined number of menus to be recommended to the user from the menu information, and the menu recommendation means includes the item of the item selected from the menu recommendation information For each piece of information, the menu recommended from the item information is extracted from the menu information, and the ingredients used for the predetermined number of menus are common. In so that a menu recommendation system and determining a menu of the predetermined number.

  The third invention is connected to the user terminal of the user and is used for menu recommendation information including a plurality of items used for determining the menu recommended for the user and item information indicating the contents of the item, and the menu and the menu A menu recommendation server having storage means for storing menu information indicating ingredients to be performed executes a menu recommendation step of determining a predetermined number of menus to be recommended to the user from the menu information based on the menu recommendation information In the menu recommendation step, for each item information of the item selected from the menu recommendation information, a menu recommended from the item information is extracted from the menu information and used for the predetermined number of menus. The menu recommending method is characterized in that the predetermined number of menus are determined so that ingredients to be used are common.

  A fourth invention is a program for causing a computer to function as the menu recommendation server of the first invention.

  A fifth invention is a storage medium storing a program for causing a computer to function as the menu recommendation server of the first invention.

  ADVANTAGE OF THE INVENTION According to this invention, the menu recommendation server etc. which recommend a menu suitable for a user based on the information regarding a user and preferable also from a viewpoint of the effective utilization of a foodstuff etc. can be provided.

The figure which shows the structure of the menu recommendation system 1 The figure which shows the hardware constitutions of the menu recommendation server 5 The figure which shows the hardware constitutions of the user terminal 3 The figure which shows the function structure of the menu recommendation server 5 The figure which shows the menu recommendation information 121 The figure which shows the menu information 127, the reference information 125 at the time of narrowing down, and the reference information 123 at the time of recommendation The figure which shows the flow of a process of the menu recommendation system 1 The figure which shows the service usage information 129 Diagram showing menu recommendation process flow The figure which shows the flow of the parallel recommendation of the menu and the process of sharing the ingredients of the menu for the number of use days The figure which shows the menu recommendation screen 33 The figure which shows the service usage information 131 The figure which shows another example of the flow of the parallel recommendation of a menu, and the process of sharing food ingredients of the menu for the number of use days The figure which shows the menu recommendation screen 53

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

[First Embodiment]
First, a first embodiment of the present invention will be described with reference to FIGS.
FIG. 1 is a diagram showing a configuration of a menu recommendation system 1 according to the present embodiment.

  As shown in FIG. 1, the menu recommendation system 1 includes a menu recommendation server 5 which is a server terminal of a system provider, a user terminal 3 used by a user, and an external server terminal 7 connected via a network 8. Further, the menu recommendation server 5 and the retailer server terminal 9 are connected via the network 10.

The user terminal 3 is a terminal used by the user in the menu recommendation system 1. The user uses the user terminal 3 to input menu recommendation information related to the user such as a family structure and transmits it to the menu recommendation server 5. The menu recommendation information is information used for recommending a menu to the user, which will be described later.
Further, the user terminal 3 receives the menu information indicating the menu recommended based on the menu recommendation information from the menu recommendation server 5. In addition, the user can use the user terminal 3 to select and purchase ingredients used for the menu.

  The menu recommendation server 5 selects a menu preferred for the user based on the menu recommendation information, and transmits it to the user terminal 3 as the menu information. Further, among the ingredients used for the menu, the ingredient information of the ingredient selected by the user for purchase is transmitted to the server 9 of the retailer.

  The server terminal 7 transmits various information of the user to the menu recommendation server 5 as the menu recommendation information. For example, the server terminal 7 is a server installed in a hospital or the like where the user visits, and transmits the user's health information and the like to the menu recommendation server 5 as the menu recommendation information.

  The server terminal 9 is a server terminal possessed by a retailer such as an internet supermarket, for example, and receives from the menu recommendation server 5 the ingredient information of the ingredient that the user has selected to purchase. Thereby, the retailer can deliver the food to the user.

FIG. 2 is a diagram illustrating a hardware configuration of the menu recommendation server 5.
As shown in FIG. 2, the menu recommendation server 5 includes a control unit 11, a storage unit 12, a media input / output unit 13, a communication control unit 14, an input unit 15, a display unit 16, a peripheral device I / F unit 17, and the like. The configuration is connected via a bus 18.

The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.
The CPU calls a program stored in the storage unit 12, ROM, storage medium or the like to a work memory area on the RAM, executes it, controls the drive of each device connected via the bus 18, and the menu recommendation server 5 The process to be described later is realized. The ROM is a non-volatile memory and permanently stores programs such as a boot program and BIOS, data, and the like. The RAM is a volatile memory, and temporarily stores programs, data, and the like loaded from the storage unit 12, ROM, storage medium, and the like, and includes a work area used by the control unit 11 to perform each process.

The storage unit 12 is an HDD (hard disk drive) or the like, and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. As for the program, a control program corresponding to an OS (operating system) and an application program for executing processing to be described later are stored.
Each of these program codes is read by the control unit 11 as necessary, transferred to the RAM, read by the CPU, and executed as various means.

The media input / output unit 13 is a drive device that inputs and outputs data. For example, media such as a CD drive (-ROM, -R, -RW, etc.), a DVD drive (-ROM, -R, -RW, etc.) I / O device.
The communication control unit 14 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication with other devices, and performs communication control with other devices via a network. The network may be wired or wireless.

The input unit 15 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad.
The display unit 16 includes a display device such as a CRT monitor and a liquid crystal panel, and a logic circuit for realizing a display function in cooperation with the display device.

The peripheral device I / F unit (interface) unit 17 is a port for connecting a peripheral device, and performs data transmission / reception with the peripheral device via the peripheral device I / F unit 17. The peripheral device I / F unit 17 is configured by a USB or the like, and usually includes a plurality of peripheral devices I / F. The connection form with the peripheral device may be wired or wireless.
The bus 18 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

  The server terminal 7 and the server terminal 9 have the same configuration.

  FIG. 3 is a diagram illustrating a hardware configuration of the user terminal 3. As shown in FIG. 3, the user terminal 3 includes a control unit 21, a storage unit 22, a media input / output unit 23, a communication control unit 24, an input unit 25, a display unit 26, a peripheral device I / F unit 27, and the like. 28 is a general-purpose computer terminal connected via the H.28. About each part, it is the same as that of what was demonstrated using FIG. The user terminal 3 may be a known portable terminal or the like.

Next, a functional configuration of the menu recommendation server 5 will be described with reference to FIG.
As shown in FIG. 4, the menu recommendation server 5 includes a menu recommendation information receiving unit 101, a menu recommendation unit 107, a menu information transmitting unit 109, a purchased food information transmitting unit 110, and the like.
The storage unit 12 stores menu recommendation information 121, recommendation reference information 123, refinement reference information 125, menu information 127, and the like.

  The menu recommendation information receiving means 101 is for the menu recommendation server 5 to receive and register the menu recommendation information 121 from the user terminal 3 or the server terminal 7.

Here, the menu recommendation information 121 will be described with reference to FIG.
As shown in the figure, in the present embodiment, the menu recommendation information 121 includes fixed information 211, dynamic information 213, accumulated information 215, and the like, and items 217 corresponding to each are set. Item information 219 indicating is registered.

  The fixed information 211 is information registered in advance by the user. The fixed information 211 is input by the user using the user terminal 3 and is transmitted from the user terminal 3 to the menu recommendation server 5 and registered. The fixed information 211 includes, for example, items 217 such as a family structure and a field of interest. The item information 219 registered for each item 217 can be changed later.

  The dynamic information 213 is input to the user terminal 3 when the user receives a menu recommendation by the menu recommendation system 1, and is transmitted from the user terminal 3 to the menu recommendation server 5 and registered. The dynamic information 213 includes, for example, items 217 such as a mood of the day, cooking time, a person who eats together and a food scene.

  The accumulated information 215 is information about the user that is appropriately transmitted and registered from the external server terminal 7 to the menu recommendation server 5. For example, it is configured from items 217 such as a user's meal record, health check result, exercise record, and chronic disease transmitted from the server terminal 7 arranged in a hospital or the like to the menu recommendation server 5.

  Returning to the description of FIG. The menu recommendation means 107 performs menu narrowing processing recommended to the user from the menus of the menu information 127 using the narrowed-down reference information 125, and the recommended reference information according to the item 217 selected by the user. 123, the menu recommended for the user is selected and extracted.

  Here, with reference to FIG. 6A to FIG. 6C, the menu information 127, the narrowed-down reference information 125, and the recommended reference information 123 will be described.

  FIG. 6A is a diagram illustrating an example of the menu information 127. The menu information 127 indicates the menu and the ingredients used therefor, and as shown in the figure, the menu information 127 includes a menu 271, ingredients information 273, recipe information 275, and the like.

The menu 271 indicates the name of the menu.
The food material information 273 indicates the food material used for the menu, and includes a food material 273a and an amount 273b. The food material 273a is the name of the food material, and the amount 273b is the amount of the food material. In addition to this, the food information may include information indicating whether the food is essential. Furthermore, when the food is not essential, an alternative food of this food may be linked and stored. These pieces of information can also be used when recommending menus to be described later.
The recipe information 275 includes a menu cooking method, cooking advice, a cooking image, a cooking method image, and the like.

  FIG. 6B is a diagram showing an example of the reference information 125 at the time of narrowing down. The narrowing-down reference information 125 defines a menu not recommended to the user in correspondence with the item information 219 (see FIG. 5) of the predetermined item 217. As shown in FIG. It consists of item information 253, prohibited menu 255, prohibited food ingredients 257, and the like.

The narrowing-down item 251 indicates an item 217 used for narrowing down the menu.
The item information 253 is item information 219 of the item 217 used for narrowing down the menu.
The prohibited menu 255 designates a menu not recommended to the user in correspondence with the item information 253.
The prohibited food material 257 is for specifying a food material not recommended to the user in correspondence with the item information 253. That is, the menu using the ingredients specified in the prohibited ingredients 257 is not recommended to the user.

  FIG. 6C is a diagram showing an example of recommendation reference information 123. The reference information 123 at the time of recommendation indicates a menu candidate recommended to the user corresponding to the item information 219 (see FIG. 5) of the item 217 selected by the user. As shown in the figure, the recommended item 231 is recommended. , Item information 233, menu 235, food ingredients 237, and the like.

The recommended item 231 is an item 217 used for menu recommendation.
The item information 233 is item information 219 of an item 217 used for menu recommendation.
The menu 235 specifies a menu recommended from the item information 233.
Ingredient 237 designates a recommended ingredient from the item information 233.

Returning to the description of FIG. The menu information transmission means 109 transmits the menu information 127 of the menu recommended to the user by the menu recommendation server 5 to the user terminal 3 as a menu recommendation screen described later.
The purchased ingredient information transmitting means 110 is for the menu recommendation server 5 to transmit information (type and quantity) of ingredients that the user has selected to purchase to the server terminal 9.

  Next, the processing flow of the menu recommendation system 1 will be described with reference to FIGS.

In the process in the menu recommendation system 1, as shown in FIG. 7, first, the user accesses the WEB site provided by the menu recommendation server 5 using the user terminal 3 and performs input on the input form. Based on the dynamic information 213 and the menu recommendation information 121, service usage information for recommending the menu is input, and these data are transmitted to the menu recommendation server 5 together with the menu recommendation request (S101). .
In the menu recommendation information 121 of FIG. 5, the fixed information 211 and the accumulated information 215 are transmitted and registered in advance from the user terminal 3 or the server terminal 7.

An example of the service usage information is the service usage information 129 shown in FIG.
As shown in the figure, the service usage information 129 includes usage days 291, recommended items 292, food material adjustment days 293, and the like.

  The number of days of use 291 determines the number of days (a plurality of days) for which menu recommendations are received. In the present embodiment, a menu for dinner for a plurality of days determined by the number of use days 291 is recommended. For example, if the number of use days 291 is designated as 7 days, a total of 7 menus of dinner for 7 days are recommended.

The recommendation item 292 is used to specify the item 217 of the menu recommendation information 121 for recommending the menu for each day of the number of days specified by the use days 291 described above. By inputting the recommended item 292, the item 217 used for recommending the menu is selected by the user.
Ingredient adjustment days 293 is the number of days of recommending menu (food ingredients adjustment menu) from the viewpoint of adjusting ingredients among the use days 291. Ingredient adjustment is to adjust the menu for the number of use days so that the ingredients to be used are common. By inputting the food material adjustment days 293, the number of days for recommending the menu from the viewpoint of the food material adjustment is set by the user.

As described above, in the present embodiment, the menu for the number of days set in the food material adjustment days 293 out of the usage days 291 is recommended not from the item 217 of the menu recommendation information 121 but from the viewpoint of the food material adjustment.
Therefore, the recommended item 292 is selected for the number of days obtained by subtracting the number of days for adjusting food ingredients 293 from the number of days used 291. For example, in the example shown in the figure, an item 217 for recommending a menu for five days is defined by subtracting two days specified by the number of days of food adjustment 293 from seven days determined by the number of use days 291. The remaining two days of menu are recommended from the standpoint of food preparation.

In this embodiment, the item 217 of the recommended item 292 is input together with the day of the week (that is, the menu order), but the selection of the day of the week may be omitted. Furthermore, it is possible to omit the input of the recommended item 292 by the user, and set the item 217 and the like used for the menu recommendation by the menu recommendation server 5 according to a predetermined rule. For example, it may be determined in advance that the “family structure” item 217 is used on Friday, and the “feeling of the day” item 217 is used on Monday. Alternatively, the menu recommendation server 5 may randomly select an item 217 or the like used for recommending a menu for each day.
Moreover, in this embodiment, although the number of days is defined by the use days 291 and the foodstuff adjustment days 293, it is not limited to the number of days as long as the number of menus is determined.

  Returning to the description of FIG. The menu recommendation server 5 receives the menu recommendation request together with the dynamic information 213 and the service usage information 129 from the user terminal 3 (S102), and executes the menu recommendation process for selecting and extracting the menu recommended to the user. (S103).

FIG. 9 is a diagram illustrating a flow of the menu recommendation process in S103.
As shown in the figure, in S103, the menu recommendation server 5 first reads the menu recommendation information 121 stored in the storage unit 12 (S201).

  Then, the menu recommendation server 5 performs menu narrowing processing based on the item information 219 of the predetermined item 217 of the menu recommendation information 121 (S202).

  In S202, with reference to the narrowing-down reference information 125 in FIG. 6B, the item information 219 of the predetermined item 217 in the menu recommendation information 121 shown in FIG. In the case where they match, the menu of the prohibited menu 255 associated with the item information 253 and the menu using the prohibited food 257 are excluded from the menu recommended to the user. For example, information indicating these menus is stored in a RAM or the like, and the subsequent processing is performed according to a rule that these are not selected.

  A specific example will be described with reference to FIG. 5 and FIG. 6B. For example, among the items 217 of the menu recommendation information 121 shown in FIG. deep. If the item information 219 is “gout”, according to the narrowing-down reference information 125 shown in FIG. 6B, in the subsequent processing, the item information of “gout” in the narrowed down item 251 of “disease” The menu corresponding to H.253, “how much salmon” (prohibited menu 255), and the menu using the ingredients of “lever”, “fish egg”, and “dried fish” (prohibited food 257) are not selected.

  The menu recommendation server 5 performs the menu parallel recommendation and the menu food sharing for the number of days of use after the narrowing-down process of S202 (S203). FIG. 10 shows the flow of processing in S203.

  As shown in FIG. 10, in S203, the menu recommendation server 5 first selects and extracts a menu other than the food material adjustment date from the menu of the menu information 127 (S301).

In S301, the recommended item 292 of the service usage information 129 shown in FIG. 8 is referred to, and each item 217 specified in the recommended item 292 is acquired. Next, item information 219 corresponding to each item 217 is acquired from the menu recommendation information 121 shown in FIG. Then, with reference to the recommendation reference information 123 shown in FIG. 6C, one of the menus 235 associated with the acquired item 217 and item information 219 (recommended item 231 and item information 233) is extracted.
Thus, by extracting the menu corresponding to the item information 219 of each item 217, a menu suitable for the user can be obtained on days other than the food material adjustment date.

In the recommendation reference information 123 in FIG. 6C, a plurality of menus are designated as the menu 235. In this embodiment, one is extracted at random from these menus. As another example, a priority order may be associated with each menu in advance, and a menu with the highest priority may be acquired.
Further, in addition to the menu specified by the menu 235, one menu may be extracted in the same manner as described above from the menu using the food specified by the food 237 of the recommended reference information 123. .

  Next, the menu recommendation server 5 selects a menu for the foodstuff adjustment date (S302).

  In S302, the foodstuff 273a used for the menu other than the foodstuff adjustment date extracted in S301 is acquired from the menu information 127 shown in FIG. Then, a menu that is shared by the ingredients 273a other than the ingredients adjustment date and the ingredients to be used is selected from the menu information 127 as an ingredient adjustment date menu.

In the present embodiment, the menu for the food adjustment date is selected so that the number of types of food to be used is the smallest among the menus for the number of usage days 291 determined by the service usage information 129 in FIG. However, you may make it select the menu of a foodstuff adjustment day based on predetermined criteria, such as the number of types of foodstuffs predetermined. In addition, if the number of foodstuff adjustment days 293 is increased in the service usage information 129, the commonality of foodstuffs can be further increased.
In addition, the type of stock ingredients in the household is input as the dynamic information 217 and the service usage information 129, and when the menu for the ingredient adjustment date is selected, the ingredient for the menu is changed to the ingredient adjustment date. In addition, the menu may be selected so as to use as much of the stock ingredients as possible.

  As described above, the parallel recommendation of the menu in S203 of FIG. 9 and the sharing of the ingredients for the menu for the number of days of use are performed, and the menu for the number of days of use is extracted and recommended as the menu recommendation result. The process of S202 can be performed after S203. For example, after the menu is extracted in S203, the menu to be excluded by the process of S202 is extracted, and when the extracted menu is the menu to be excluded, the process of S203 may be executed again.

  With respect to the menu recommendation result by the process of S203 of FIG. 9, the menu information 127 of the extracted usage days is transmitted from the menu recommendation server 5 to the user terminal 3 as a menu recommendation screen, and the display unit 26 of the user terminal 3 is displayed. (S204).

FIG. 11 is a diagram showing a menu recommendation screen 33 that is an example of the menu recommendation screen.
On the menu recommendation screen 33, a recommended menu image 59 and recipe information 275 such as the cooking method 60 (see FIG. 6A) are displayed. Further, an item 217 used for recommending the menu and its item information 219 are displayed corresponding to the menu. Thereby, the user can know why the menu is recommended.
Also, a recommended item change button 63 for changing the item 217 used for recommendation and a menu change button 65 for directly selecting another menu are displayed.

Further, the menu recommendation screen 33 displays a necessary ingredient table 67 in which ingredients necessary for cooking of each recommended menu are listed. In the necessary food table 67, for each type of food, a check box 69 is displayed for the food (name), the amount, the price, the date (day of the week) on which the menu using the food is recommended. The menu recommendation screen 33 also displays a purchase confirmation button 71 for determining the purchase of food. As described above, in the present invention, since the menu of each day is determined so that the ingredients are common, each ingredient is often used over a plurality of days, and such ingredients are selected collectively. By doing so, it is possible to save time and effort to select ingredients every day.
The price of the food is calculated in advance from the quantity for each type of food using the price per unit quantity stored in advance in the menu recommendation server 5 for each type of food.

Returning to the description of FIG. If the user is not satisfied with the menu, the user selects the recommended item change button 63 and inputs a new item 217 using an input form (not shown) or the like. Thereby, the menu recommendation server 5 changes the item 217 used for recommendation (S205; YES).
Thereafter, in the same manner as in S203, another menu is extracted from the item information 219 corresponding to the item 217, and then the menu for the food adjustment date is again set so that the ingredients for the number of use days are shared. Selected (S203). Then, as in the above-described S204, the menu recommendation information 127 for the recommended number of use days is transmitted to the user terminal 3 again as the menu recommendation screen 33 for the menu recommendation result (S204).
For example, in the example of FIG. 11, the menu for Tuesday and Friday is recommended from the item information 219 of “Diet”. However, if it is desired to reduce the day of the diet, the item 217 used for recommendation is changed for any day of the week. do it.

  When the recommendation item is not changed (S205; NO), the process proceeds from the menu recommendation process (S103) of FIG. 7 to S104.

When the menu change button 65 is selected, the user can directly select another menu and change the menu. This menu is referred to the recommendation reference information 123 in FIG. 6C, and the menu 235 corresponding to the item 217 and the item information 219 (recommended item 231 and item information 233) used for recommending the menu before the change is displayed. Among them, a different one from that before the change may be selectable, or may be selected from all menus.
Even when a new menu is directly selected, the same processing as in the case where the recommended item is changed is performed. However, in S203 described above, the process described in S301 in FIG. 10 is omitted, and only the food sharing process described in S302 is executed again. That is, the menu for the food adjustment date is selected again so that the foods for the number of use days are common. It should be noted that the implementation of S302 described above can be omitted.

  Returning to the description of FIG. Since the menu recommendation screen 33 of FIG. 11 is displayed on the display unit 26 of the user terminal 3, the user looks at the necessary ingredients table 67, selects the unnecessary ingredients from the check box 69, and removes them from the ingredients to be purchased. Perform the operation. When the ingredients to be purchased are confirmed, the user selects the purchase confirmation button 71. Thereby, the foodstuff to purchase is determined, and the foodstuff selection information which shows the foodstuff etc. which selected the purchase is transmitted to the menu recommendation server 5 from the user terminal 3 (S104).

  Upon receiving the food selection information (S105), the menu recommendation server 5 refers to this and transmits the food selected for purchase and its amount to the server terminal 9 of the retailer as purchased food information (S106). . The server terminal 9 of the retailer receives this purchased food information (S107). The retailer can deliver the ingredients to the user based on the purchased ingredient information.

  Thus, according to the present embodiment, even when there are a plurality of items 217 used for menu recommendation, they are processed in parallel, and the number of days of use can be obtained without canceling the characteristics of each item 217. You can recommend each menu. Therefore, a menu more suitable for the user can be obtained. For example, even if the item information 219 of the item 217 is “preferred for a heavy meal” and “being on a diet” is used for recommending a menu, a menu with a particular day is selected, Since the menu with less calories is selected, the menu according to the user's request can be recommended. Furthermore, each item 217 can be easily added and expanded by setting, and can be easily adapted to the user's request.

  In addition, since each menu is selected so that ingredients are common, even if you leave extra ingredients at the time of cooking for the menu, you can make adjustments such as using it for another day's menu, and finally it is effective without leaving extra ingredients It becomes easy to utilize. Furthermore, if the recommended food ingredients for each menu are purchased in a lump, the delivery can be performed together, the delivery efficiency is naturally improved, and the user is not burdened with money. Moreover, since the purchase amount for every foodstuff can be increased by sharing the foodstuff, it is often cheaper than purchasing a small quantity of many foodstuffs.

  In addition, the menu recommended by the item information 219 is extracted from the menu information 127 corresponding to each of the item information 219 of the item 217 selected by the user, and the menu corresponding to the number 293 of food adjustment days set by the user is extracted. Is selected from the item information 219 so that the recommended menu and food are in common, so that the menu for the number of days used is determined. The menu ingredients will be shared more reliably.

  Further, the menu information 127 for the menu for the number of days used is transmitted to the user terminal 3 as the menu recommendation screen 33 that can be selected by selecting the ingredients used for the menu, so that the user can easily obtain information regarding the menu. You can also select and purchase ingredients to be used for the menu. Thereby, it becomes possible to purchase ingredients except for unnecessary ingredients such as ingredients at hand of the user as stock. Therefore, it is possible to effectively use the ingredients while omitting the trouble of registering the ingredients remaining in stock at home in the system or the like.

Further, on the menu recommendation screen 33, the item 217 used for the recommendation is clearly shown and the item 217 can be changed. When the item 217 is changed, the menu is extracted again according to the item information 219 of the item 217 after the change. As a result, the user can change the menu if the recommended menu is not satisfactory.
Note that the menu recommendation results and the contents of ingredients used for the menu as displayed on the menu recommendation screen 33 can be printed as a food order slip and transmitted to the user by facsimile or the like. .

  Further, when recommending a menu, the narrowed-down reference information 125 is referred to, so that a menu such as the prohibited menu 255 associated with the item information 219 of the predetermined item 217 (the item information 253 of the narrowed-down item 251) is not extracted during the recommendation. Therefore, the menu recommended from the item information 219 of one item 217 does not cause a problem such as being unfavorable for the user from the viewpoint of the item information 219 of another item 217.

[Second Embodiment]
Next, a second embodiment of the present invention will be described. In the second embodiment, in the process of parallel recommendation of menus in S203 of FIG. 9 and the sharing of ingredients for menus for the number of days of use, the menu for each day is selected so that the ingredients are common, without using the ingredient adjustment date. This is different from the first embodiment in that it is extracted.

  In the second embodiment, when the service usage information is input in S101 of FIG. 7, as shown in the service usage information 131 of FIG. 12, the ingredient adjustment days 293 are set to 0 (days) and then the usage days 291 are set. The item 217 is set as the recommended item 292 for all of the plurality of days set as. Further, the number of types of ingredients in the menu for the number of use days is input as the ingredient type 294. In the second embodiment, the food material adjustment days 293 may be omitted from the service usage information 131, and the food material adjustment days may not be provided from the beginning.

  Then, in S203 of FIG. 9, the menu recommendation server 5 first selects one or more menu candidates from the item 217 set as the recommended item 292 for each day set as the use days 291 as shown in FIG. Extract (S401).

In S401, the item information 219 of each item 217 of the recommended item 292 of FIG. 12 is acquired from the menu recommendation information 121 shown in FIG. 5, and referring to this, from the recommended reference information 123 of FIG. One or a plurality of menu candidates that are recommended corresponding to the acquired items 217 and the item information 219 (recommended item 231 and item information 233) are extracted from the menu 235.
In the present embodiment, menu candidates are extracted from the menu 235 of the reference information 123 at the time of recommendation, with priority given to the first candidate, the second candidate, the third candidate,. The priority order may be assigned based on a predetermined criterion or may be assigned randomly.

Then, the menu recommendation server 5 refers to the menu information 127 of the extracted menu candidates, so that the menu ingredients for each day (each item information 219) are shared among the menu candidates for each day so that the ingredients for the menu are shared. Select one menu for the day. At this time, the priority order and the number of food types 294 are used as reference information. As described above, menus for the number of use days are extracted (S402).
When there are many types of ingredients 294, increase the number of types of ingredients used in the menu for the number of days used (relatively reduce the types of common ingredients), and when there are few types of ingredients 294, use the menu for the number of days used Reduce the types of ingredients used (relatively increase the number of common ingredients). It should be noted that the priority order can be omitted.

  The menu information 127 of the recommended menu is transmitted to the user terminal 3 as the menu recommendation screen 53 shown in FIG. 14 in S204, as in the first embodiment. The menu recommendation screen 53 of FIG. 14 is the same as the menu recommendation screen 33 of the first embodiment, but a bar 55 for changing the type of food is further displayed. When the bar 55 is slid, the amount of the food material type 294 is changed, and the processes of S203 to S204 are repeated. The food material type may be input or changed by a numerical value or an option instead of the bar 55.

Other processes can be performed in the same manner as in the first embodiment, and the same effects as in the first embodiment can be obtained in the second embodiment.
Furthermore, in the second embodiment, menus are extracted corresponding to each of the item information 219 of the item 217 selected by the user on all days of the usage days 291 selected by the user. The request about can be reflected more.

  Furthermore, since the menu can be determined according to the number of food types 294 desired by the user, variations of the menu recommended to the user can be made variable. For example, if the number of food types 294 is increased (the number of common food types is small), the user can enjoy a menu using various foods, and if the number is reduced (the number of common types of food is large), the menu The foodstuffs in between can be made more common and the foodstuffs can be used more effectively. Also in the first embodiment, it is possible to change the number of food types 294 and select a menu for the food adjustment date according to this.

  Although the embodiments of the present invention have been described with reference to the accompanying drawings, the technical scope of the present invention is not affected by the above-described embodiments. It is obvious for those skilled in the art that various modifications or modifications can be conceived within the scope of the technical idea described in the claims, and these are naturally within the technical scope of the present invention. It is understood that it belongs.

1 ... Menu recommendation system 3 ... User terminal 5 ... Menu recommendation servers 7, 9 ... Server terminals 8, 10 ... Network 33, 53 ... …… Menu recommendation screen 101 ... …… Menu recommendation Information receiving means 107... Menu recommendation means 109... Menu information transmission means 110... Purchased ingredient information transmission means 121... Menu recommendation information 123. 127 ... Menu information 129, 131 ... Service usage information 217 ... Item 219 ... Item information

Claims (11)

A menu recommendation server for recommending menus to the user, connected to the user terminal of the user,
Storage means for storing menu recommendation information including item information indicating a plurality of items used for determining the menu to be recommended to the user and contents of the item, and menu information indicating the menu and ingredients used for the menu;
A menu recommendation means for determining a predetermined number of menus to be recommended to the user based on the menu recommendation information from the menu information;
Comprising
The menu recommendation means extracts a menu recommended from the item information for each item information of the item selected from the menu recommendation information, and uses it for the predetermined number of menus. The menu recommendation server, wherein the predetermined number of menus are determined so that ingredients are common.   The menu recommending unit extracts a menu recommended from the item information from the menu information corresponding to each item information of the item selected by the user, and sets the number of food adjustment menus set by the user. The menu recommendation server according to claim 1, wherein the predetermined number of menus is determined by selecting a menu for a minute so that a menu and food recommended from the item information are common.   The menu recommendation means extracts one or a plurality of menus recommended from the item information corresponding to each of the item information of the predetermined number of items selected by the user, and is extracted from the menu information. The predetermined number of menus is determined by selecting one menu from one or a plurality of menus so that ingredients used for the predetermined number of menus are common. Menu recommendation server according to 2.   The said menu recommendation means determines the said predetermined number of menus according to the number of types of foodstuffs which are set by the user and are common to the said predetermined number of menus. The recommended menu server described in any of the above.   2. The menu information transmitting means for transmitting the menu information of the predetermined number of menus to the user's terminal as a menu recommendation screen capable of selecting and selecting a food to be used for the menu. The menu recommendation server according to claim 4. Menu information transmitting means for displaying the menu information of the predetermined number of menus for displaying the items used for recommending the menu and transmitting the items used for recommending the menu to the terminal of the user as a menu recommendation screen that can be changed Further comprising
The menu recommending means is:
When the item is changed on the menu recommendation screen, the menu recommended from the item information after the change is extracted again from the menu information corresponding to the item information of the item after the change. The menu recommendation server according to any one of claims 1 to 5. The storage means further stores the reference information at the time of narrowing down the item information and the prohibited menu information that determines the menu that is not extracted at the time of recommendation according to the item information,
The said menu recommendation means determines the said predetermined number of menus from the menus other than the menu determined by the said prohibition menu information linked | related with the said item information, The one of Claims 1-6 characterized by the above-mentioned. Menu recommendation server. A menu recommendation system for recommending a menu to the user, wherein a user terminal of the user and a menu recommendation server are connected via a network,
The menu recommendation server is:
Storage means for storing menu recommendation information including item information indicating a plurality of items used for determining the menu to be recommended to the user and contents of the item, and menu information indicating the menu and ingredients used for the menu;
A menu recommendation means for determining a predetermined number of menus to be recommended to the user based on the menu recommendation information from the menu information;
Comprising
The menu recommendation means extracts a menu recommended from the item information for each item information of the item selected from the menu recommendation information, and uses it for the predetermined number of menus. The menu recommendation system, wherein the predetermined number of menus are determined so that foods are common. Menu recommendation information that includes a plurality of items that are connected to the user terminal of the user and are used to determine a menu recommended for the user, and item information that indicates the contents of the item, and menu information that indicates the menu and ingredients used for the menu A menu recommendation server having storage means for storing
Based on the menu recommendation information, execute a menu recommendation step for determining a predetermined number of menus from the menu information to recommend to the user,
In the menu recommendation step, for each item information of the item selected in the menu recommendation information, a menu recommended from the item information is extracted from the menu information and used for the predetermined number of menus. A menu recommendation method, wherein the predetermined number of menus are determined so that foods are common.   The program for functioning a computer as a menu recommendation server in any one of Claims 1-7.   A storage medium storing a program for causing a computer to function as the menu recommendation server according to any one of claims 1 to 7.

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