JP2017215687A - Recipe providing system and server - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a recipe providing system capable of providing a recipe more suitable for individual taste than that at the time of purchase of an electrical device.SOLUTION: A recipe providing system provides cuisine recipes via a cooking device from a server (20) through a network line. The recipe providing system comprises: an attribute determination unit (212) for determining an attribute for specifying cooking taste of a user of the cooking device which requests the provision of a recipe; a taste collection unit (213) for collecting pieces of information on cooking taste specified by the attribute; and a recipe providing unit (215) for providing a recipe to suit user's taste on the basis of the user's attribute determined by the attribute determination unit (212) and the information collected by the taste collection unit (213).SELECTED DRAWING: Figure 3

Description

  The present invention relates to a recipe providing system that provides a recipe from a server via an electric device such as a cooking device or a refrigerator.

  2. Description of the Related Art Electric appliances called so-called home appliances such as refrigerators and heating cookers installed in homes are becoming Internet of Things (IoT). For example, you can remotely check the ingredients information in the refrigerator from the outside through a network line, consult the menu by voice operation to the refrigerator or heating cooker, receive a menu suggestion from the server, It is also possible to obtain recipes.

  For example, Patent Document 1 describes a new cooking device that provides a new menu, recipe, advertisement service by installing a network line or an information holding device, and considers past cooking history and personal preferences. Has been.

JP 2001-90953 A

  However, since the cooking device of Patent Document 1 does not learn individual preferences immediately after purchase, there is a problem in that a recipe suited to each individual preference cannot be provided unless it is used for a while.

  This invention is made | formed in view of the said subject, Comprising: It exists in providing the cooking apparatus and recipe provision system which can provide the recipe close | similar to each individual preference from the time of purchase.

  In order to solve the above-described problem, a recipe providing system according to an aspect of the present invention is a recipe providing system that provides a recipe for a dish from a server through a network line via an electric device, and requests the provision of the recipe. An attribute determination unit that determines an attribute for specifying a cooking preference of the user of the electrical device, a preference collection unit that collects the preference information specified by the attribute, and a determination by the attribute determination unit A recipe providing unit that provides a recipe that meets the user's preference based on the attribute of the user and the information collected by the preference collection unit.

  According to the recipe providing system concerning one mode of the present invention, there is an effect that it is possible to provide a recipe close to the taste of each individual from the time of purchase of the electric device.

It is an image figure which shows schematic structure of the recipe provision system which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the cooking apparatus in the said recipe provision system. It is a block diagram which shows schematic structure of the server in the said recipe provision system. It is a figure which shows the content of the attribute / preference table hold | maintained at the server in the said recipe provision system. It is a figure which shows the content of the popular menu ranking table hold | maintained at the server in the said recipe provision system. In the above-mentioned recipe providing system, a series of processes from when a recipe is requested until a recipe is provided and individual preferences and preferences of corresponding preference attributes are learned using criticisms and impressions on the provided recipe are shown. It is an image figure. It is an image figure which shows the process until it proposes a menu after the proposal of a menu is requested | required in the said recipe provision system. It is a block diagram which shows schematic structure of the server in the recipe provision system which concerns on the other aspect of this invention. It is a figure which shows the content of the attribute / preference table hold | maintained at the server shown in FIG. It is a figure which shows the content of the popular menu ranking table hold | maintained at the server shown in FIG. In the above-described recipe providing system including the server shown in FIG. 8, after the provision of the recipe is requested, the recipe is provided, and the personal preference and the preference of the corresponding preference attribute are learned using the criticism / impression on the provided recipe. It is an image figure which shows a series of processes until. In a recipe providing system according to still another embodiment of the present invention, the provision of a recipe is requested, and then the personal preference and the corresponding preference attribute are provided using criticism / impression on the provided recipe. It is an image figure which shows a series of processes until it learns about a preference. It is an image figure which shows the process after provision of a recipe is requested | required in the recipe provision system which concerns on another one aspect | mode of this invention until provision of a recipe is provided.

[Embodiment 1]
Hereinafter, it will be as follows if one Embodiment of this invention is described based on FIGS.

(Configuration of recipe providing system 100)
FIG. 1 is an image diagram showing a schematic configuration of a recipe providing system 100 according to the present embodiment. As shown in FIG. 1, the recipe providing system 100 includes a cooking device 10 that is an electrical device and a server 20 that provides a recipe for cooking by the cooking device 10 through a network line 40. In addition, in FIG. 1, although the cooking apparatus 10 connected to the server 20 is one, the some cooking apparatus 10 is actually connected.

  The cooking device 10 is a so-called network home appliance and has a communication function. The communication function may be a configuration that is retrofitted to the cooking apparatus 10 as a home appliance adapter (not shown).

  For example, a wireless local area network (LAN) is provided in the house, and the cooking apparatus 10 is connected to the server 20 through a relay station 30 and a network line 40 of the wireless LAN.

  The relay station 30 is a communication device such as a WiFi (registered trademark) router or a WiFi (registered trademark) access point. The network line 40 is configured to include the Internet. The network line 40 may be a telephone line network, a mobile communication network, a CATV (CAble TeleVision) communication network, a satellite communication network, or the like.

  The cooking apparatus 10 performs microwave cooking and oven cooking as heat cooking. Moreover, the cooking apparatus 10 has a voice operation function for receiving an operation (voice operation) by a user's voice. When receiving a menu consultation from the user by voice operation, the cooking device 10 transmits (uploads) voice data of the voice operation to the server 20, acquires (downloads) menu information from the server 20, and proposes (introduction). To do. In addition, when the user requests acquisition of a recipe by voice operation, the cooking apparatus 10 transmits (uploads) voice data of the voice operation to the server 20 and acquires (downloads) recipe information from the server 20. provide. In addition, the suggestion of the menu in the cooking apparatus 10 and provision of a recipe are performed using the audio | voice output part 13 and the display part 15 with which the cooking apparatus 10 was equipped (refer FIG. 2).

  In the present embodiment, the cooking apparatus 10 is exemplified as an electric product obtained by providing a recipe from the server 20, but a refrigerator and various household robots (for example, a cleaning robot, a housework support robot, an animal robot, etc.) Etc. Moreover, it may be an electric device such as an air conditioner or a lighting device which is not related to cooking or cooking.

(Configuration of cooking apparatus 10)
FIG. 2 is a block diagram illustrating a schematic configuration of the cooking apparatus 10 in the recipe providing system 100. As shown in FIG. 2, the cooking apparatus 10 includes a control unit 11, a storage unit 12, a voice output unit 13, a voice input unit 14, a display unit 15, and a communication unit 16. In FIG. 2, the cooking function block is omitted.

  The control part 11 consists of arithmetic processing apparatuses, such as CPU (Central Processing Unit) and a dedicated processor, for example, and controls operation | movement of each part of the cooking apparatus 10. FIG. The control unit 11 includes a voice output control unit 111, a voice input control unit 112, a display control unit 113, and a communication control unit 114, which will be described later.

  The storage unit 12 includes RAM (Random Access Memory), ROM (Read Only Memory), HDD (Hard Disk Drive), and the like, and stores various data used in the cooking apparatus 10.

  The audio output unit 13 is an audio output device such as a speaker, and the audio input unit 14 is an audio input device such as a microphone. The display unit 15 is a thin display device such as a liquid crystal display device. The communication unit 16 is a communication device that communicates with the server 20 via the relay station 30 and the network line 40.

  The audio output control unit 111 controls the audio output unit 13. The audio output control unit 111 instructs the audio output unit 13 to output the audio data received from the server 20, audio data stored in the storage unit 12 from the time of delivery, and the like at each timing.

  The voice input control unit 112 controls the voice input unit 14. The voice input control unit 112 sends voice data of voice by voice operation input from the voice input unit 14 to the communication unit 16, and the communication unit 16 transmits to the server 20.

  Although details will be described later, the server 20 performs voice recognition on the voice data received from the cooking apparatus 10 and transmits a command for instructing the cooking apparatus 10 to perform an operation when an instruction to order the cooking apparatus 10 is included. And the communication part 16 of the cooking apparatus 10 receives this. In addition, when the server 20 indicates that the instruction for ordering the menu or providing the recipe is included as a result of the voice recognition, the server 20 performs the commanded process and stores the menu information and the recipe information in the cooking apparatus 10. And the communication unit 16 of the cooking apparatus 10 receives this.

  The display control unit 113 controls the display unit 15. The display control unit 113 instructs the display unit 15 to display the recipe information and menu information received from the server 20 at each timing. In addition, the display unit 15 is instructed to display the display based on the display data stored in the storage unit 12 from the time of delivery at each timing.

  The communication control unit 114 controls the communication unit 16. The communication control unit 114 instructs the communication unit 16 to transmit the voice data of the voice input from the voice input unit 14 to the server 20. In addition, when the communication control unit 114 receives a command that the communication unit 16 commands an operation from the server 20, the communication control unit 114 sends the received command to the control unit 11, and the control unit 11 causes the cooking apparatus 10 to execute the command operation. In addition, when the communication unit 16 receives audio data from the server 20, the communication control unit 114 sends the received audio data to the audio output control unit 111.

(server)
FIG. 3 is a block diagram illustrating a schematic configuration of the server 20 in the recipe providing system 100. The server 20 manages the cooking apparatus 10 and provides information such as menus and recipes. The server to be managed and the server that provides information can also be separated.

  As shown in FIG. 3, the server 20 includes a control unit 21, a storage unit 22, and a communication unit 23. The control unit 21 includes an arithmetic processing unit such as a CPU (Central Processing Unit) or a dedicated processor, and controls the operation of each unit of the server 20. The control unit 21 includes a voice recognition unit 211, an attribute determination unit 212, a preference collection unit 213, a popular menu ranking collection unit 214, a recipe provision unit 215, a menu provision unit 216, a learning unit 217, and a communication control unit 218, which will be described later. Is done.

  The storage unit 22 stores various information (data) used in the server 20. The storage unit 22 is provided with a menu / recipe DB 221 and holds an attribute / preference table 222, an attribute / popular menu ranking table 223, and a personal preference table 224.

  The menu / recipe DB 221 collects various menus proposed by the server 20 and information on the recipes. Details of the attribute / preference table 222, the attribute / popular menu ranking table 223, and the personal preference table 224 will be described later. The menu / recipe DB 221 and the tables 222 to 224 may be provided in another storage device connected to the network line 40 outside the server 20.

  The communication unit 23 is a communication device that communicates with the cooking device 10 via the network line 40 and the relay station 30.

  The voice recognition unit 211 performs voice recognition on the voice data received from the cooking apparatus 10 by the communication unit 23 and specifies the content of the operation commanded by the voice operation. If it is operation with respect to the cooking apparatus 10 according to the specified content, the control part 21 will instruct | indicate the communication control part 218, and will transmit the command which commands implementation of the said operation to the cooking apparatus 10. When a menu proposal or a recipe provision is ordered, the recipe provision unit 215 or the menu provision unit 216 is instructed to propose a menu or provide a recipe. The voice recognition unit 211 can specify “gender”, “age (age group)”, and “money” of the user (speaker) based on the sound quality of the voice.

  The attribute determination unit 212 determines an attribute for specifying a cooking preference of a user who has requested provision of a recipe. The cooking preference is, for example, a preference for seasoning and a preference for baking and cooking. Hereinafter, the attribute for specifying the cooking preference of the user is referred to as a preference attribute.

  The attribute determination unit 212 determines the preference attribute of each of a plurality of users who have requested provision of recipes via the plurality of cooking apparatuses 10 connected to the server 20. The preference attribute can increase, for example, age, sex, and residential area.

  Even in the same menu, men tend to prefer a greasy seasoning compared to women, whereas women tend to prefer a light seasoning without oil. The taste of seasoning also varies depending on the age, and young people in their teens and 20s prefer a relatively deep seasoning, but generations (age groups) over the 60s tend to prefer a light taste for health reasons. is there. Furthermore, the taste of seasoning varies depending on the area of residence. For example, people living in the Kansai region prefer a lighter salty taste than people living in the Kanto region, people living in the Kyushu region prefer sweet flavors, and people living in the Tohoku region prefer salty seasonings anyway. , Etc. tend to. In addition, people in their 70s and above prefer soft boiledness, and men in their 20s and 40s, prefer shallow boiledness in steaks, etc. There are also preferences in boiled and boiled in addition to seasoning preferences.

  In the present embodiment, the attribute determination unit 212 determines the user's “gender”, “age (age group)”, and “feeling good” identified by the voice recognition function of the voice recognition unit 211 as preference attributes. Note that either “sex” or “age” can be used as a preference attribute, but it is preferable to use both. Further, “moment” as a preference attribute can be used more effectively in menu proposals than in providing recipes.

  The preference collection unit 213 collects cooking preference information specified by a preference attribute. The preference collection unit 213 collects cooking preference information for each preference attribute for a plurality of users who request provision of recipes via the plurality of cooking apparatuses 10 connected to the server 20.

  In the present embodiment, as cooking preference information, in each menu registered in the menu / recipe DB 221, for example, “sweet”, “umami”, “salty”, “sex” and “age”, Collect information on items such as “acidity”, “bitterness”, “baked”, “boiled”, “fat (oil) wetness”, etc. The preference collection unit 213 collects information from various information sources through the network line 40. The collected preference information is stored in the attribute / preference table 222 of the storage unit 22. The attribute / preference table 222 stores cooking preference information for each preference attribute.

  FIG. 4 is a diagram showing the contents of the attribute / preference table 222. As shown in FIG. 4, for each menu, the age attribute (generation), which is a preference attribute, is associated with gender, and cooking taste information includes “sweet”, “umami”, “salty”, “sour”, Stores adjustment frequencies such as “bitterness”, “baked”, “boiled”, and “greasiness”. The adjustment frequency can be indicated, for example, as a ratio of adjustment to a recipe (basic recipe) registered in the menu / recipe DB 221.

  For example, if the frequency of “sweetness” is “+10”, the proportion of seasonings that produce sweetness such as sugar, mirin, and honey is increased by “10%” with respect to the basic recipe. On the contrary, if the frequency of “sweetness” is “−7”, the ratio of the seasoning that produces sweetness to the basic recipe is reduced by “7%”.

  In addition, in “Umami”, the amount of soup that produces umami and the amount of umami seasoning are adjusted. In “Salt”, the amount of salt and soy sauce that produces salty taste, the type of soy sauce (thin, deep mouth, etc.), etc. Is adjusted. Here, when the cooking device 10 has a salt reducing function for reducing the salt content in the food material, the amount of salt reduction may be adjusted. In “acidity”, the amount and type of sour vinegar and citrus juice (rice vinegar, cereal vinegar, lemon juice, etc.) are adjusted. For “bitterness”, the amount of bitterness is adjusted. The cooking method and cooking time of the material that produces the bitterness are adjusted so that the bitterness becomes stronger or weaker. In “baking control” and “boiling control”, the cooking time for cooking and cooking and the heating control (high, low, medium) are adjusted. In “Fatiness”, the amount of oil that determines the amount of fat and the type of oil (salad oil, sesame oil, olive oil, etc.), and cooking methods such as cooking with oil in a frying pan are adjusted to cooking methods. The Moreover, when the cooking apparatus 10 has the deoiling function which removes fats and oils from a foodstuff, it is good also as a structure which adjusts deoiling amount. In addition, the adjustment method of a recipe is not restricted to the above, What is necessary is just to adjust with various methods.

  The popular menu ranking collection unit 214 collects information on preferred menus specified by preference attributes. The preference attribute also specifies a menu of preferred dishes. The popular menu ranking collection unit 214 collects information on preferred menus for each preference attribute for a plurality of users who request menu proposals via the plurality of cooking apparatuses 10 connected to the server 20.

  In the present embodiment, for example, “breakfast menu”, “lunch menu”, “dinner” for each of the mood attributes “gender” and “age group” and “joy”, “anger” and “sad”. Collect information on the top three menus for items such as “Menu”, “Japanese menu”, “Chinese menu”, etc. The popular menu ranking collection unit 214 collects information from various information sources through the network line 40. The collected popular menu ranking information is stored in the attribute / popular menu ranking table 223 of the storage unit 22. The attribute / popular menu ranking table 223 stores popular menu ranking information for each attribute.

  FIG. 5 is a diagram showing the contents of the attribute / popular menu ranking table 223. As shown in FIG. 5, each item of “Breakfast Menu”, “Lunch Menu”, “Dinner Menu”, “Japanese Menu”, “Chinese Menu”, etc. is associated with age group (generation), gender, and mood. Stores information on the top three popular menu rankings.

  The popular menu ranking according to age group (generation) and gender is, for example, the number of times a user who has the same age group (generation) and gender from the menu registered in the menu / recipe DB 221 requests the provision of a recipe. You can also choose the ones that have a lot.

  Also, for popular menu rankings according to mood, for example, from the menus registered in the menu / recipe DB 221, the voice quality of the user's voice when requesting a recipe is recognized and the mood is determined. Can select the same user who frequently requests the provision of a recipe.

  The recipe providing unit 215 is in the user's preference based on the user's preference attribute determined by the attribute determination unit 212 and the cooking preference information for each preference attribute collected by the preference collection unit 213. Serve recipes.

  For example, when the attribute determination unit 212 determines that the man is 25 years old, the basic recipe is adjusted using the adjustment frequency registered in the column of age sex “20s to 30s, male” in FIG. Provide information on adjusted recipes.

  The menu suggestion unit 216 determines the user's preference based on the user preference attribute determined by the attribute determination unit 212 and the popular menu ranking information for each preference attribute collected by the popular menu ranking collection unit 214. Suggest a popular menu.

  For example, when the attribute determination unit 212 determines that a 25-year-old male is in a “sad” mood (no energy), the age gender “20s to 30s male” column and the mood in FIG. From the menus registered in the “Sad” column, a menu belonging to a specified item (such as a dinner menu or a breakfast menu) is proposed. The items “Breakfast Menu”, “Lunch Menu”, “Dinner Menu”, “Japanese Menu”, and “Chinese Menu” can be arranged in advance to be included in the menu consultation utterance to the cooking device 10. That's fine. If the item is not included, an utterance such as “Breakfast, lunch, dinner, Japanese food, or Chinese menu?” May be performed, and the answer may be used for determination.

  Information of the menu to be selected selected by the menu providing unit 216 is transmitted to the cooking device 10 for which a 25-year-old unskilled male user consulted the menu.

  The learning unit 217 learns the preference regarding cooking of the individual and the corresponding preference attribute. Based on the user's critique / impression on the provided recipe obtained through the voice recognition unit 211, the learning unit 217 has the same personality / same generation as the user's personal preference information and the corresponding preference attribute. Collect information on cooking preferences of the same age group. The collected personal preference information is stored in the personal preference table 224 of the storage unit 22, and the collected same-sex / same-generation preference information is used to update the attribute / preference table 222. Although not specifically shown, the personal preference table 224 is similar to the attribute / preference table 222, for example, for each menu for which criticism / impression is obtained, "sweetness", "umami", "salt taste". , “Acidity”, “bitterness”, “grilled”, “greasy”, etc., may be stored. In addition, since an existing technique can be used as a technique for providing a recipe that matches a user's individual preference using the learning function, no further explanation will be given here.

  The communication control unit 218 controls the communication unit 23. When the communication unit 23 receives voice data from the cooking apparatus 10, the communication control unit 218 sends the received voice data to the voice recognition unit 211. In addition, the communication control unit 218 requests preference information and popular menu ranking information from the communication unit 23 in response to an instruction from the preference collection unit 213 and the popular menu ranking collection unit 214, and receives these pieces of information. It is sent to the preference collection unit 213 and the popular menu ranking collection unit 214.

(Specific examples from provision of recipes to learning)
FIG. 6 shows a series of steps from when a recipe is provided in the recipe providing system 100 to when a recipe is provided and an individual's preference and the preference of a corresponding preference attribute are learned using criticism / impressions on the provided recipe. It is an image figure which shows the process of.

  When a woman in her 70s requests the cooking device 10 to provide a recipe, for example, “Tell me how to make tea bowl steaming”, the cooking device 10 uploads voice data of this utterance to the server 20 (voice upload). ((1) in FIG. 6).

  The server 20 recognizes the uploaded voice data by voice, recognizes that a recipe for tea-steaming has been requested, determines the age / sex as a preference attribute of the speaker, and the user who has requested the recipe for tea-steaming is 70 The female is identified as a teenager ((2) in FIG. 6).

  Next, the server 20 refers to the attribute / preference table 222 in the storage unit 22 and inquires about the information on the recipe of the steamed rice cake that matches the preference of women in their 70s ((3) in FIG. 6).

  Specifically, in the attribute / preference table 222 shown in FIG. 4, the server 20 corresponds to the adjustment frequency registered in the column of females in their 60s to 70s in each item of the menu “tea steaming”. Then, the information of the adjusted recipe obtained by adjusting the basic recipe is acquired, and the adjusted recipe is downloaded to the cooking apparatus 10 ((4) in FIG. 6).

  At this time, the server 20 also transmits audio data such as “What about a recipe for steaming tea with a modest salt content?” Along with recipe information, which conveys the characteristics of the seasoning according to the preferences of women in their 70s.

  Thereby, the cooking apparatus 10 can provide a recipe for steaming tea with a preference to a woman in her 70s, along with an utterance such as "What is a recipe for steaming tea with moderate salt?"

  After cooking, the cooking apparatus 10 utters, for example, “How was the tea fumigation made last time?” In order to obtain the user's critique and impression of the previously provided recipe. On the other hand, when the user utters “Is the taste a little weak?”, The cooking apparatus 10 uploads (voice uploads) the voice data of this utterance indicating the impression and criticism to the server 20 ((voice upload in FIG. 6). 5)). At this time, the cooking apparatus 10 utters a reply such as “Thank you, I'll do my best to make it more delicious next time” in response to the user's answer.

  The server 20 recognizes the uploaded voice data by voice, specifies the content of the criticism / impression for the provided recipe, determines the age / gender as the preference attribute of the speaker, and provides the criticism / impression for the provided recipe. The described user is identified as a woman in her 70s ((6) in FIG. 6).

  Next, the server 20 uses the content of the criticism / impression on the provided recipe, and the personal preference table 224 of female users in their 70s associated with the cooking device 10 and the 70s in the attribute / preference table 222 The female cooking preference information is updated and learned ((7) in FIG. 6).

  For example, if the content of the criticism / impression is “Is the taste a little light?”, The adjustment in the personal preference table 224 is changed so that the taste becomes deeper than the proposed recipe in the preference information of the menu “tea cake steamed” Register the frequency. In addition, in the information on the preference of women in their 70s in the menu “tea bowl steaming” in the attribute / preference table 222, it is recorded as data necessary for updating that the answer “light” is obtained.

(Specific examples of menu proposals)
FIG. 7 is an image diagram showing processing in the recipe providing system 100 from when a menu proposal is requested until a menu is proposed.

  For example, when a male in his 30's who requests the cooking device 10 requests a dinner menu proposal, for example, “suggest a dinner menu.”, The cooking device 10 transmits the voice of the speech. Data is uploaded to the server 20 (voice upload) ((1) in FIG. 7).

  The server 20 recognizes the uploaded voice data by voice, specifies that a dinner menu proposal is requested, determines the age, gender, and mood as attributes of the speaker, and requests a dinner menu proposal. The identified user is identified as a male in his 30s ((2) in FIG. 7). When the determined mood is “sad”, the server 20 determines that there is no energy.

  Next, the server 20 inquires of the attribute / popular menu ranking table 223 in the storage unit 22 for information on a dinner menu that matches the taste of a male in his 30s (3 in FIG. 7).

  Specifically, in the attribute / popular menu ranking table 223 shown in FIG. 5, the server 20 has the item “Dinner Menu” registered in the column of males in their 30s by age and gender and the column of “sad”. A menu is acquired from each of the existing menus, and the acquired menu is downloaded to the cooking apparatus 10 ((4) in FIG. 7).

  At this time, the server 20 conveys the feature of the menu to be proposed to a male in his 30s, for example, “I don't seem to be fine, so how about a teriyaki chicken with an appetite or a yellowtail teriyaki?” Is also transmitted along with the menu information.

  As a result, the cooking device 10 has a preference for men who are not active in their 30s, along with utterances such as “I do n’t seem to be well, so I ’m not sure about appetite, teriyaki chicken, or yellowtail teriyaki?” A suitable menu can be proposed.

  After this, when a menu with an unskilled man in his 30's is selected from the proposed menu and the provision of the recipe is requested, the recipe providing system 100 provides the above-described recipe, and the 30's healthy We provide recipes that are suitable for the taste of men who do not.

  As described above, in the recipe providing system 100 according to the present embodiment, the preference collection unit 213 collects cooking preference information specified by the age and gender that are preference attributes, and the voice of the voice recognition unit 211 is collected. Based on the recognition result, the attribute determination unit 212 determines the age and sex, which are preference attributes for specifying the cooking preference of the cooking device 10 user who requests the provision of a recipe. On the other hand, the recipe providing unit 215 provides a recipe that matches the user's preference based on the user attribute determined by the attribute determination unit 212 and the cooking preference information collected by the preference collection unit 213. .

  Thereby, it becomes possible to provide a recipe closer to the taste of each individual than when the cooking apparatus 10 is purchased.

[Embodiment 2]
Hereinafter, another embodiment of the present invention will be described with reference to FIGS. For convenience of explanation, members having the same functions as those of the first embodiment are denoted by the same reference numerals and description thereof is omitted.

  FIG. 8 is a block diagram showing a schematic configuration of the server 20A in the recipe providing system 100A. The server 20A differs from the server 20 shown in FIG. 3 in that a control unit 21A is provided instead of the control unit 21, and a storage unit 22A is provided instead of the storage unit 22.

  The control unit 21A includes a voice recognition unit 211, an attribute determination unit 212A, a preference collection unit 213A, a popular menu ranking collection unit 214A, a recipe provision unit 215A, a menu proposal unit 216A, a learning unit 217A, and a communication control unit 218.

  The storage unit 22A includes a menu / recipe DB 221, an attribute / preference table 222A, an attribute / popular menu ranking table 223A, and an individual preference table 224.

  The attribute determination unit 212A uses area information where the user resides as the user preference attribute. As described above, even in the same menu, there is a difference in the taste of seasoning depending on the residential area. For example, people living in the Kansai region prefer a lighter salty taste than people living in the Kanto region, people living in the Kyushu region prefer sweet flavors, and people living in the Tohoku region prefer salty seasonings anyway. , Etc. tend to. Specifically, the attribute determination unit 212A determines the user's residence area based on, for example, an IP address, which is information necessary for connection between the cooking apparatus 10 and the network line 40.

  The preference collection unit 213A collects cooking preference information based on the residential area as a preference attribute. The preference collection unit 213 </ b> A collects cooking preference information for each preference attribute for a plurality of users who request provision of recipes via the plurality of cooking apparatuses 10 connected to the server 20. The preference information collected by the preference collection unit 213A is stored in the attribute / preference table 222A of the storage unit 22A.

  FIG. 9 is a diagram showing the contents of the attribute / preference table 222A. As shown in FIG. 9, cooking preference information is stored for each menu in association with a residential area that is a preference attribute.

  The popular menu ranking collection unit 214A collects popular menu ranking information by residence area as a preference attribute. The popular menu ranking collection unit 214 </ b> A collects information on a preferred menu for each preference attribute for a plurality of users who request menu proposals via the plurality of cooking apparatuses 10 connected to the server 20. The popularity menu ranking information collected by the preference collection unit 213A is stored in the table 223A in the attribute / popular menu ranking of the storage unit 22A.

  FIG. 10 shows the contents of the attribute / popular menu ranking table 223A. As shown in FIG. 10, the top three places for each item of “breakfast menu”, “lunch menu”, “dinner menu”, “Japanese menu”, “Chinese menu”, etc., in association with the residential area which is a preference attribute Information on the popular menu ranking is stored.

  The recipe providing unit 215A was in the user's preference based on the user's preference attribute determined by the attribute determination unit 212A and the cooking preference information for each preference attribute collected by the preference collection unit 213A. Serve recipes.

  For example, if the attribute determination unit 212 determines to live in the Kansai region, information on the adjusted recipe obtained by adjusting the basic recipe using the adjustment frequency registered in the column “Kansai” in FIG. I will provide a.

  The menu suggestion unit 216A adjusts the user preference based on the user preference attribute determined by the attribute determination unit 212A and the popular menu ranking information for each preference attribute collected by the popular menu ranking collection unit 214A. Suggest a popular menu.

  For example, if the attribute determination unit 212A determines that you live in Hokkaido, the specified item (dinner menu, breakfast menu, etc.) is selected from the menus registered in the residential area “Hokkaido” in FIG. Suggest menus belonging to).

  The learning unit 217A learns the preference regarding cooking of the individual and the corresponding preference attribute. The learning unit 217A is based on the user's critique / impressions on the provided recipe obtained through the voice recognition unit 211, and the user's personal cooking preference information and the corresponding preference attribute in the same residential area as the user Gather information on cooking preferences. The collected personal preference information is stored in the personal preference table 224 of the storage unit 22, and the collected preference information of the same residential area is used for updating the attribute / preference table 222A.

  FIG. 11 shows a series of processes from when a recipe is provided in the recipe providing system 100A until a recipe is provided and individual preferences and preferences of corresponding preference attributes are learned using criticisms / impressions on the provided recipe. It is an image figure which shows the process of.

  When a user residing in Kansai requests the cooking device 10 to provide a recipe, for example, “Tell me how to make tea bowl steaming”, the cooking device 10 uploads voice data of this utterance to the server 20 (voice upload). ((1) in FIG. 11).

  The server 20A recognizes the uploaded voice data as voice, recognizes that a recipe for steaming the tea is requested, determines the residence area of the speaker from the IP address as a preference attribute, and the user who requested the recipe for steaming the tea The person who lives in the Kansai region is identified ((2) in FIG. 11).

  Next, the server 20A inquires of the storage unit 22 about a recipe for steaming tea that matches the taste of a person living in the Kansai region ((3) in FIG. 11).

  Specifically, in the attribute / preference table 222A shown in FIG. 6, the server 20A selects the basic recipe according to the adjustment frequency registered in the column of the residence area in the Kansai region in each item of the menu “tea steaming”. Information on the adjusted recipe that has been adjusted is acquired, and the acquired adjusted recipe is downloaded to the cooking apparatus 10 ((4) in FIG. 11).

  At this time, the server 20A also transmits audio data such as “What is a recipe for Kansai-style tea and steamed?” Along with recipe information that conveys the characteristics of the seasoning according to the tastes of people in the Kansai region.

  Thereby, the cooking apparatus 10 can provide the recipe of the tea fumigation suitable for preference to the utterance user who lives in the Kansai region with the utterance "What is the recipe of the Kansai style tea fumigation?"

  After cooking, the cooking apparatus 10 utters, for example, “How was the tea fumigation made last time?” In order to obtain the user's critique and impression of the previously provided recipe. On the other hand, when the user utters “The soup is effective and delicious”, the cooking apparatus 10 uploads (voice uploads) the voice data of the utterance indicating the impression / criticism to the server 20 ((voice upload in FIG. 11). 5)). At this time, the cooking apparatus 10 utters a reply such as “Thank you, I'll do my best” according to the user's answer.

  The server 20A recognizes the uploaded voice data by voice, specifies the content of the criticism / impression for the provided recipe, determines the residential area as a preference attribute of the speaker, and describes the criticism / impression for the provided recipe. The user is identified as a person living in the Kansai region ((6) in FIG. 11).

  Next, the server 20A uses the content of the criticism / impression on the provided recipe, and the personal preference table 224 of the individual user living in the Kansai region associated with the cooking device 10 and the Kansai region in the attribute / preference table 222A. The cooking preference information is updated and learned ((7) in FIG. 11).

  For example, if the content of the criticism / impression is “It was delicious with the soup stock,” the adjustment frequency of the proposed recipe is registered as it is in the preference information of the menu “chawanmushi” in the personal preference table 224. In addition, in the information on the preference of women in their 70s in the menu “tea bowl steaming” in the attribute / preference table 222, it is recorded as data necessary for updating that an answer of “just right” is obtained.

[Embodiment 3]
Hereinafter, another embodiment of the present invention will be described with reference to FIG. For convenience of explanation, members having the same functions as those of the first and second embodiments are denoted by the same reference numerals and description thereof is omitted.

  In the recipe providing system 100 according to the first embodiment, the user's age / sex (+ mood) is used as the user's preference attribute. In the recipe providing system 100A according to the second embodiment, as the user's preference attribute, , Used the user's residence area.

  In the recipe providing system 100B according to the present embodiment, the user's preference / attribute is used as the user's preference attribute, such as the user's age / sex (+ mood) and the user's residential area.

  FIG. 12 is a series of steps from when a recipe is provided in the recipe providing system 100B to when a recipe is provided and an individual's preference and the preference of a corresponding preference attribute are learned using criticisms / impressions on the provided recipe. It is an image figure which shows the process of. The server 20B includes a control unit 21B and a storage unit 22B.

  The server 20B uses the user's age / sex (+ mood) and the user's residence area as the user's preference attributes, and requests the provision of recipes and menu suggestions via the cooking device 10 with reference to the storage unit 22B. The user is provided with a recipe suitable for the user's generation, gender, and residential area, and a menu is proposed.

  Moreover, if the server 20B acquires the content of the criticism / impression for the provided recipe, the information of the user's personal cooking preference associated with the cooking device 10 in the storage unit 22b, and the corresponding generation, sex and residence area Update and learn information about cooking preferences.

  In addition, since it has already demonstrated about the case where a user's age and sex (+ mood) are used as a user's preference attribute, and the case where a user's residence area is used, further description is not performed here.

[Embodiment 4]
Hereinafter, another embodiment of the present invention will be described with reference to FIG. For convenience of explanation, members having the same functions as those of the first to third embodiments are denoted by the same reference numerals and description thereof is omitted.

  FIG. 13 is an image diagram showing processing from when a recipe is provided to when a recipe is provided in a recipe providing system 100C according to still another embodiment of the present invention. The server 20C includes a control unit 21C and a storage unit 22C.

  In the recipe providing system 100C, the cooking device 10, the server 20C, and the communication terminal device 50 of the user of the cooking device 10 are registered in advance in the storage unit 22C of the server 20C. Moreover, the user of the cooking apparatus 10 registers personal information including age, sex, residential area, and the like in the storage unit 22C of the server 20C using the communication terminal device 50.

  The server 20C refers to the storage unit 22C, acquires information on the user's preference attributes such as age / sex and residence area from the registered user's personal information, and provides a recipe that matches the user's preference, Suggest a menu.

  According to the above configuration, even if the cooking device 10 is not provided with the voice input unit 14 and searches for menus and recipes based on display information by the display unit 15, information on the age and sex of the user Can be obtained.

[Embodiment 5]
Control unit 21 (especially attribute determination unit 212, 212A, preference collection unit 213, 213A, popular menu ranking collection unit 214, 214A, recipe provision unit 215, 215A, menu provision unit 216, server 20 of server 20, 20A, 20B, 20C 216A and learning units 217 and 217A) may be realized by a logic circuit (hardware) formed in an integrated circuit (IC chip) or by software using a CPU (Central Processing Unit). Good.

  In the latter case, the servers 20, 20A, 20B, and 20C include a CPU that executes instructions of a program that is software that implements each function, and a ROM (in which the program and various data are recorded so as to be readable by a computer (or CPU)). A Read Only Memory) or a storage device (these are referred to as “recording media”), a RAM (Random Access Memory) for expanding the program, and the like are provided. And the objective of this invention is achieved when a computer (or CPU) reads the said program from the said recording medium and runs it. As the recording medium, a “non-temporary tangible medium” such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. The program may be supplied to the computer via an arbitrary transmission medium (such as a communication network or a broadcast wave) that can transmit the program. The present invention can also be realized in the form of a data signal embedded in a carrier wave in which the program is embodied by electronic transmission.

[Summary]
The recipe providing systems 100 to 100C according to the aspect 1 of the present invention are recipe providing systems 100 to 100C that provide a recipe for cooking from the servers 20 to 20C through the network line 40 via the electric device (cooking apparatus 10). Collecting attribute information 212, 212A for determining an attribute (preference attribute) for specifying a cooking preference of a user of the electrical device requesting provision of the recipe, and the preference information specified by the attribute A recipe that matches the user's preference based on the user's attributes determined by the attribute determination unit and the information collected by the preference collection unit. And a recipe providing unit 215, 215A.

  According to the said structure, the attribute determination parts 212 and 212A determine the attribute (preference attribute) for specifying the cooking preference of the user of the electric equipment which requests provision of a recipe. On the other hand, the preference collection units 213 and 213A collect the preference information specified by the attribute. The recipe providing units 215 and 215A provide a recipe that meets the user's preference based on the user attribute determined by the attribute determination unit and the information collected by the preference collection unit.

  This makes it possible to provide a recipe that is closer to the taste of each individual than when the electric device is purchased.

  The recipe providing systems 100 and 100B according to the second aspect of the present invention are configured such that the attribute is the gender and / or age of the user.

  The tastes of cooking such as seasoning, baking conditions, and cooking conditions tend to be similar when the age and gender are the same, and more similar when both age and gender are the same. Thus, by using the user's gender and / or age as the attribute, a recipe that suits the user's preference can be provided.

  In the recipe providing systems 100 and 100B according to the aspect 3 of the present invention, the attribute determination unit 212 further recognizes the user's voice input from the voice input unit 14 mounted on the electric device, so that the user This is a configuration for determining the sex and / or age of the child.

  According to the above configuration, information on the age and gender is obtained by recognizing the voice of the user and used as the attribute. Therefore, for example, if the electrical device is configured to request provision of a recipe by voice operation, it is possible to receive a recipe that suits the taste without requiring the user to input age and sex.

  The recipe providing systems 100A and 100B according to the aspect 4 of the present invention are configured such that the attribute is an area where the user resides.

  Seasoning shows a similar tendency when the living area is the same, such as Kanto and Kansai. Therefore, by using information on the area where the user lives as the attribute, a recipe that suits the user's preference can be provided.

  In the recipe providing systems 100A and 100B according to the fifth aspect of the present invention, the attribute determination unit 212A further determines a region where the user resides based on information necessary for connection between the electrical device and the network line. It is a configuration.

  According to the above configuration, the area where the user resides is specified based on information necessary for connection between the electrical device and the network line, and is used as the attribute. For example, information on the area where the electrical device is installed can be acquired from an IP address, which is information necessary for connection. Therefore, by using the information necessary for connection, it is possible to receive a recipe that suits the taste without requiring the user to input the residential area.

  In the recipe providing systems 100 to 100C according to the aspect 6 of the present invention, the attribute specifies a menu of a favorite dish, and the menu is received from the server through the network line 40 via the electric device (cooking apparatus 10). And a menu collection unit (popular menu ranking collection unit 214, 214A) that collects information of a preferred menu specified by the attribute, and the attribute determination unit includes a menu suggestion unit 216, 216A to be proposed Determining the attribute of the user of the electrical device that requests the proposal, and the menu suggestion unit includes the attribute of the user determined by the attribute determination unit and the information collected by the menu collection unit. Based on the above, a menu that suits the user's preference is proposed.

  According to the said structure, the said attribute is used also for what also specifies the menu of a favorite dish, and the menu collection part collects the information of the preferable menu specified by the said attribute. The menu suggesting units 216 and 216A propose a menu that suits the user's preference based on the user attributes determined by the attribute determining unit and the information collected by the menu collecting unit.

  As a result, it is possible to propose a menu that is closer to each individual's preference than when purchasing the electrical equipment.

  The servers 20 to 20C according to the seventh aspect of the present invention are servers that provide cooking recipes via the network line 40 via the electric device (cooking apparatus 10), and request the provision of the recipe via the electric device. The plurality of users who request the provision of recipes via the electrical devices, and the preference collection units 213 and 213A that collect the preference information for each attribute for specifying the cooking preference. Based on the attribute determination units 212 and 212A for determining the respective attributes, the attributes of the plurality of users determined by the attribute determination unit, and the information collected by the preference collection unit, It is a structure provided with the recipe provision part 215,215A which provides the recipe which suited each user's preference.

  According to the said structure, it becomes possible to provide the recipe close | similar to each individual preference from the time of the purchase of an electric equipment similarly to the recipe provision system 100 mentioned above.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and the present invention also relates to embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is included in the technical scope. Furthermore, a new technical feature can be formed by combining the technical means disclosed in each embodiment.

10 Cooking device (electric equipment)
11, 21, 21A, 21B, 21C Control unit 12, 22, 22A, 22B, 22C Storage unit 13 Audio output unit 14 Audio input unit 15 Display unit 16, 23 Communication units 20, 20A, 20B, 20C Server 40 Network line 50 Communication terminal device 100, 100B, 100, 100C Recipe providing system 111 Audio output control unit 112 Audio input control unit 113 Display control unit 114, 218 Communication control unit 211 Voice recognition unit 212, 212A Attribute determination unit 213, 213A Preference collection unit 214 , 214A Popular menu ranking collection unit 215, 215A Recipe providing unit 216, 216A Menu suggesting unit 216, 216A Menu providing unit 217, 217A Learning unit 222, 222A Preference table 223, 223A Popular menu ranking table 224 Personal preference table Bull 221 Recipe Menu DB

Claims (7)

A recipe providing system for providing a cooking recipe from a server via an electric device through a network line,
An attribute determination unit that determines an attribute for specifying a cooking preference of the user of the electrical device that requests provision of a recipe;
A preference collection unit for collecting information on the preference specified by the attribute;
Based on the attribute of the user determined by the attribute determination unit and the information collected by the preference collection unit, a recipe providing unit that provides a recipe that suits the user's preference;
A recipe providing system comprising:   The recipe providing system according to claim 1, wherein the attribute is gender and / or age of the user.   The attribute determination unit determines the gender and / or age of the user by recognizing the user's voice input from a voice input unit mounted on the electrical device. The recipe provision system described.   The recipe providing system according to any one of claims 1 to 3, wherein the attribute is an area where the user resides.   The recipe providing system according to claim 4, wherein the attribute determination unit determines an area in which the user resides based on information necessary for connection between the electric device and the network line. The attribute also identifies a menu of preferred dishes,
A menu proposal unit that proposes menus from the server via the network line via the electrical equipment;
A menu collection unit for collecting information on a preferred menu specified by the attribute;
Further comprising
The attribute determination unit determines the attribute of the user of the electrical device that requests a menu proposal,
The menu proposing unit proposes a menu that suits the user's preference based on the attribute of the user determined by the attribute determining unit and the information collected by the menu collecting unit. The recipe providing system according to any one of claims 1 to 5, characterized in that: A server that provides cooking recipes via electrical equipment via a network line,
A preference collection unit that collects the preference information for each attribute for specifying the preference of cooking for a plurality of users who request provision of a recipe via the electric device;
An attribute determination unit that determines the attribute of each of the plurality of users who request provision of a recipe via the electrical device;
Providing a recipe that provides a recipe that suits each of the plurality of users based on the attribute of each of the plurality of users determined by the attribute determination unit and the information collected by the preference collection unit And a server.

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