561 results about "Recipe" patented technology

The invention relates to the technical field of cocktails, discloses a cocktail formula retrieval enhanced generation method based on multi-modal feature fusion, and aims to solve the problems of poor accuracy and low individuation degree of an existing method. The scheme mainly comprises the steps that a cocktail finished product image and an ingredient constraint condition text uploaded by a user side are acquired; visual feature extraction and semantic feature extraction are carried out, fusion coding is carried out, and a unified query vector is generated; searching candidate formulas with similarity scores Top-K from a pre-constructed cocktail formula knowledge base; and inputting the query vector and the candidate formula into a retrieval enhanced generation model, generating a cocktail formula recommendation result including a formula name, main ingredients, alternative ingredient suggestions, making steps, formula difficulty and estimated making time, and returning the cocktail formula recommendation result to a user side for display. According to the method, the accuracy and the individuation degree of cocktail formula retrieval are improved, and the method is suitable for intelligent bartending, catering training and personal customization service scenes.

In one implementation, a device receives an input request for a large language model-based network troubleshooting agent regarding an issue in a network. The large language model-based network troubleshooting agent performs a lookup of a recipe based on the input request, wherein the recipe comprises contextual information for the issue. The device generates, by the large language model-based network troubleshooting agent, a prompt for a large language model based on the input request and on the recipe. The device provides, by the large language model-based network troubleshooting agent, the prompt to the large language model to troubleshoot the issue in the network.

The invention relates to the technical field of artificial intelligence, and discloses a system of a nutrition recipe recommendation system based on artificial intelligence in chronic disease intervention management and an application method. Comprising a data acquisition module, a data preprocessing and feature engineering module, a knowledge base management module, a personalized nutritional requirement modeling module, a recipe generation and optimization module, a user interface module and a model training and updating module which are in communication connection through a network. According to the method, personalized health data such as physiological indexes, chronic disease characteristics, diet preference, allergy and intolerance information of a user are collected in multiple dimensions, a nonlinear relation between the characteristics of the user and nutritional requirements is deeply mined in combination with a deep learning model, and an accurate personalized nutritional requirement model is generated according to specific illness conditions and body indexes of different chronic disease patients; therefore, recipe recommendation conforming to individual differences is provided, and the risk of aggravating the illness state due to improper diet is reduced.

The invention belongs to the technical field of recipe optimization, and relates to a recipe optimization method and device based on nutrient intake and a storage medium. The method comprises the following steps: acquiring various food materials and initial dosages thereof in a recipe to be optimized; based on the content of each nutrient in each food material and the initial dosage of each food material, constructing a content equation of each nutrient in the to-be-optimized recipe; based on the content equation of various nutrients in the to-be-optimized recipe, constructing a nutrient type equation which does not meet the constraint in the to-be-optimized recipe by taking the condition that the content of each nutrient in the to-be-optimized recipe is greater than or equal to the minimum intake and less than or equal to the maximum intake as the constraint; constructing an optimization objective function of the to-be-optimized recipe by taking minimization of nutrient types which do not meet the constraint in the to-be-optimized recipe as an objective; and solving the optimization objective function to obtain the target dosage of each food material in the to-be-optimized recipe, so that the to-be-optimized recipe is optimized to generate a recipe conforming to the nutrition intake standard.

The present invention relates to a smart home cooking system using an artificial intelligence device, comprising: at least one cooking utensil provided to cook food ingredients; and the artificial intelligence device that is provided to identify a speech command of a user and control the cooking utensil to cook the food ingredients according to the identified speech command, learns a preferred food of the user and a preferred food type of the user according to a food cooking history of the user, detects, when there is a request of the user, at least one food recipe according to the preferred food of the user or the preferred type of the user from among a pre-stored plurality of recipes, on the basis of a result of the learning, and provides the detected at least one food recipe to the user as a recommended food recipe.

The invention discloses a cooking parameter dynamic adjusting system of a cooking robot. According to the system, multiple sets of recipes and preset feeding parameters and preset cooking parameters of the recipes in multiple preset stages are pre-stored through a setting module; respectively acquiring image data and gas data of each preset stage by using a first acquisition module and a second acquisition module; the data processing module judges whether the data meet corresponding preset conditions or not and generates a control signal; and the feedback adjusting module adjusts parameters according to the control signal until the data meets conditions. According to the system, dynamic adjustment of cooking parameters can be achieved, and the cooking effect and adaptability of the cooking robot are improved.

The invention provides a range hood operation control method and device, a lifting type range hood and electronic equipment, and the method comprises the steps: obtaining a to-be-cooked food material and a user portrait in response to a cooking starting operation; generating a personalized menu based on the to-be-cooked food materials and the user portrait; and generating a control curve of the range hood based on the personalized menu, wherein the control curve comprises a range hood lifting curve and / or a range hood air volume curve. According to the method, the fine-grained user portrait is constructed by collecting the biological characteristics, the dietary habits and the cooking behavior characteristics of the user, and the control curve of the range hood adaptive to the individual preference is generated accordingly, so that the individual suitability and accuracy of the control curve of the range hood are remarkably improved.

The invention relates to the technical field of diet health services, in particular to a diet service method and system based on human nutriology. The method comprises the steps of collecting multi-dimensional data for a user; on the basis of a human nutriology database and user full-amount data, a personalized nutrition target is determined through nutrition requirement calculation; in combination with personalized nutrition targets, user dietary habits and actual life scenes, food material recipes are matched to generate multiple sets of personalized dietary schemes; providing diet scheme execution guidance, and adjusting the diet scheme; the personalized diet scheme and the updating scheme are pushed to the user; the system comprises a user data acquisition module, a nutrition target determination module, a diet scheme generation module, a diet scheme guidance and dynamic adjustment module and a push module. According to the method, multi-dimensional adaptation of nutritional demand analysis to user data is realized, the disease state, exercise intensity and dietary habits of the user are fully combined, the nutrition target pertinence is improved, and the actual demand of the user is accurately matched.

The invention relates to a cooking assisting method, and the method comprises the steps: obtaining the input information of a to-be-cooked food material, and the input information of the to-be-cooked food material comprises at least one of a food material picture and food material text information; according to the input information of the to-be-cooked food material, recommended menu options and corresponding pin guidance are provided for a user, and the pin guidance is used for guiding the user to insert a temperature probe into the to-be-cooked food material; and after the user selects a menu option and successfully inserts the temperature probe into the food material to be cooked according to the guide of the contact pin, generating a cooking control parameter corresponding to the menu option. The cooking auxiliary method can improve the convenience of food material cooking and the success rate of one-key cooking. The invention further relates to a cooking auxiliary device and system, electronic equipment and a readable storage medium.

An ingredient substitution system may include a shopper device associated with a given shopper that may have shopper profile data associated therewith. An ingredient substitution server is configured to store recipes. Each recipe may have ingredients associated therewith, and each ingredient may have an ingredient nutritional tag associated therewith. The server may determine a recipe from among the recipes based upon matching the ingredient nutritional tag to the corresponding shopper profile data and communicate the recipe to the shopper device. The server may also be configured to determine a substitute ingredient for a given ingredient of the recipe. The substitute ingredient may have a substitute ingredient nutritional tag, and the substitute ingredient may be determined based upon matching the substitute ingredient nutritional tag and the corresponding ingredient nutritional tag. The server may also generate a digital coupon redeemable toward the substitute ingredient and communicate the digital coupon to the shopper device.

The present invention relates to a dispensing and preparation apparatus for powdered food or beverage products, the apparatus comprising a dispensing device (60) and an associated preparation or extraction device (70); the dispensing device (60) comprising one or more housings for receiving one or more containers (10, 20) with a powdered food or beverage product; the dispensing device (60) comprising a reader (62) to obtain the information of the product parameters of the powdered food or beverage products from the one or plurality of containers (10, 20); the dispensing device (60) further comprising a control unit configured to dispense a certain amount of powdered food or beverage product from each container (10, 20) according to these product parameters and / or according to a recipes database (64) as a function of the beverage to be prepared; the dispensing device (60) further comprising an encoder (63) to encode the beverage information on programmable identification means (65) on a product holder (61) in the dispensing device (60), to where the dispensed powdered food or beverage product is sent; the preparation or extraction device (70) being configured for receiving the product holder (61) and comprising reading means (72) to identify the beverage information in the said product holder identification means (65), the extraction device (70) further comprising a control unit to extract the beverage according to the beverage information retrieved from the product holder (61) and / or from the beverage information retrieved from a beverage database in this control unit. The invention further relates to a method for dispensing powdered food or beverage products and preparing a beverage from them using a dispensing and extraction apparatus as the one described. The invention also relates to the use of a dispensing and extraction apparatus as the one described for delivering a certain beverage from powdered food or beverage products.

A system includes a processor that is configured to receive user information, obtain store information, generate a recipe based on the user information and the store information, present the generated recipe to a user, and guide the user regarding the required ingredients for the recipe.

A user interface of an online system is generated based on search for relevant items that match ingredients of a recipe. After receiving, from a device associated with a user of the online system, a query for an ingredient of a recipe, the online system identifies, based on one or more attributes in the query, a set of candidate items for the ingredient. The online system generates a recipe relevance score for each candidate item by applying a weighted sum of scores, ranks the identified candidate items based on their recipe relevance scores, and selects one or more items for presentation to the user. The online system then generates a user interface of the device with a recipe page including the ingredient of the recipe and the one or more items that match the ingredient of the recipe.

An automatic cooking device according to one embodiment includes a cooking table, a housing at least a portion of which is located below the cooking table, a robotic wok, an interface provided on the cooking table and operable by a user, and a control unit that receives information from the interface, calls up a pre-stored recipe based on the received information, and controls the first actuator and the second actuator based on the recipe.

The system according to the embodiment aims to generate appropriate recipes taking into consideration the health information, allergy information, and refrigerator inventory information of family members. [Solution] A system according to an embodiment includes an input unit, an acquisition unit, a generation unit, and a provision unit. The input unit inputs health information or allergy information of family members and dietary needs. The acquisition unit acquires refrigerator inventory information. The generation unit generates a recipe based on the information obtained by the input unit and the acquisition unit. The provision unit provides the recipe generated by the generation unit.

The application discloses a nutrition gap early warning method and system based on weekly menu timing compensation, and relates to the technical field of intelligent management. The nutrition gap early warning method and system based on weekly menu timing compensation comprises the following steps: S1, calling and preprocessing meal serving basic record data and nutrition standard record data; S2, performing meal serving change trigger discrimination, and generating target meal serving offset identification and recalculated nutrition serving amount according to the discrimination result; S3, performing meal serving writing replacement, sequence coverage checking and latest weekly nutrition timing chain confirmation according to sequence writing consistent analysis results; and S4, performing nutrition gap early warning analysis, trend early warning output, gap early warning output and meal serving correction request generation. The application solves the problem that the existing nutrition gap early warning technology is difficult to timely trigger the recalculation of meal nutrition supply value and sequence writing when temporary dish replacement, raw material substitution or weight adjustment occurs in actual meal serving, and is prone to cause the mismatch between the nutrition compensation baseline and the actual supply state.

The present application relates to the technical field of recipe recommendation, and particularly relates to a cooking auxiliary method and device based on recommended recipes. The method comprises the following steps: in response to an operation instruction of a user for a recommended recipe, identifying the operation instruction to obtain instruction information, and inputting the instruction information into a pre-trained binary classification model to enable the binary classification model to judge the type of the instruction information; in the case that the instruction information belongs to inquiry information, inputting the instruction information into a pre-trained recipe question and answer language model to enable the recipe question and answer language model to generate a response matched with the instruction information; in the case that the instruction information belongs to correction information, inputting the instruction information into a pre-trained recipe correction model to enable the recipe correction model to determine a step to be corrected in the recommended recipe to which the instruction information is directed, and adjusting the step to be corrected according to correction information contained in the instruction information; and providing the generated response or the adjusted recommended recipe to the user.

A system is provided.SOLUTION: A system, comprising: means for receiving authentication information input by a user and generating an authentication token; means for receiving a keyword searched by the user and providing a search result; means for obtaining and providing detailed information corresponding to a selected recipe; means for suggesting substitute ingredient information for an ingredient included in the recipe; and means for receiving an image and a comment posted by the user and displaying the image and the comment in a community.SELECTED DRAWING: Figure 1

1. The name of the present design product: recipe publishing graphical user interface of electronic device. 2. The use of the present design product: for running programs. 3. The design points of the present design product: the interface content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The present design product is a graphical user interface (GUI) design, and the omitted views are conventional designs, omitting the rear view, left view, right view, top view, and bottom view. 6. The use of the graphical user interface: for users to publish recipes and provide personalized cooking experience. 7. The change state description of the graphical user interface: in the front view interface, click the plus icon in the upper right corner to enter interface change state figure 1, and after filling in the relevant information in interface change state figure 1, click the "next" icon to enter interface change state figure 2.

An online system enables users to generate an order for items by receiving a collection of components, such as a recipe. The online system maps the components to specific items available at a source.  To avoid nonsensical mappings of a specific item to a component, the online system trains a model to predict a probability of a specific item being suitable for inclusion in at least one collection of components. For example, the model generates a probability of a specific item being included in at least one recipe comprising a plurality of components.  The model may be trained using users' inclusion of specific items previously selected for one or more groups of items based on collections of components by users of the online system.

To enhance an accuracy of information on a food material held as an assumption of a proposal of a recipe.SOLUTION: A recipe proposal device 10 comprises: a first food material information acquisition part 11 that acquires first food material information as information of a food material held in a predetermined space by a user, causes the first food material information acquired to be stored in a food material holding information storage part 22; a second food material information acquisition part 12 that acquires second food material information as information on the food material added to the food material to be held, and makes the food material holding information storage part 22 store the second food material information acquired; a first provision part 13 that refers a recipe information store part 21 that stores recipe information associated with a recipe and a food material used for the recipe, and extracts the recipe of which the food material to be used is stored in the food material holding information storage part 22 as a proposal recipe; and an output part 14 that outputs the proposal recipe to a user device.SELECTED DRAWING: Figure 2

A system is provided.SOLUTION: This food management device is provided with a means for recognizing the kind, quantity and best-before date of food, a means for transmitting the recognized food data, a means for preserving the transmitted data and tracking the best-before date or preservation period, a means for generating a recipe based on the taste, physical condition, season, weather and economical conditions of a user, and a means for transmitting the generated recipe. The system includes a notification means, a means for confirming a deficient food material and automatically placing an order, a means for analyzing the nutrition balance of the user and generating advice for supporting healthy eating habits, a means for transmitting the generated advice, and a means for collecting the feedback of the user and updating data.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to understand the user's ingredients and provide the best recipe, efficient cooking procedures, and menu suggestions. [Solution] The system according to this embodiment comprises a material understanding unit, a recipe provision unit, a procedure provision unit, and a menu support unit. The material understanding unit understands the user's materials. The recipe provision unit provides the best recipe based on the materials understood by the material understanding unit. The procedure provision unit provides efficient cooking procedures based on the recipe provided by the recipe provision unit. The menu support unit proposes a menu based on the procedures provided by the procedure provision unit.

The application discloses a case recipe generation system and method based on a large language model, and comprises the following steps: step 1, obtaining nutrition data, recipe data and case data to form a data set; step 2, pre-processing the data in the data set obtained in step 1, the pre-processing process comprising unified expression of the case data; nutrition terminology recognition of the nutrition data to obtain a data set with a terminology label; filtering of the recipe data according to the nutrition data; step 3, obtaining nutrition text segments and recipe data meeting the requirements of the case; step 4, generation of the required case recipe by a large language model according to the text segments and data obtained in step 3; the method can significantly improve the reliability, feasibility and adaptability of recipe generation.

This application discloses a method, apparatus, and storage medium for generating ice cream recipes, relating to the field of artificial intelligence technology. The disclosed method for generating ice cream recipes includes: responding to an ice cream recipe generation request and obtaining ice cream recipe requirement information; obtaining a target ice cream recipe generated based on the ice cream recipe requirement information; and displaying the target ice cream recipe. The target ice cream recipe is used to guide ice cream preparation, addressing the problem that existing ice cream recipes are fixed and limited, resulting in a limitation on the types of ice cream that can be prepared. Through the technical solution of this application, target ice cream recipes are customized for different ice cream recipe requirements, enriching the variety of target ice cream recipes and thus making the types of ice cream prepared more diverse.

The invention discloses a recipe generation method based on AI analysis. The method comprises the following steps: S1, demand confirmation: a demand acquisition module of a recipe generation system determines the total number N of dish types based on the acquired number of diners in a canteen on the same day and the number of employees in the canteen; s2, generation of a dish demand list: a type analysis module of the recipe generation system generates the dish demand list based on the dish type total number N, the dish type proportion requirement and the environment temperature; s3, generation of a dish recommendation list: inputting a dish demand list to a dish screening module, classifying and sorting dishes in a dish library by the dish screening module based on the constructed dish scoring model, and generating the dish recommendation list after filling the dish demand list; s4, recipe confirmation; and S5, generating a purchase plan. Compared with the prior art, the problem of high dish repetition rate caused by inflexible recipe generation scheme and low richness of an existing recipe generation system is solved.

An online concierge system may update, responsive to a request from a user client device, a shopping list with a food item. The system may query a recipe database based in part on the food item to obtain one or more recipes that use the food item as a key ingredient, where the key ingredients in a recipe are tagged in the recipe database. The key ingredients for each of the corresponding recipes are identified using a machine learned model. The system ranks the one or more recipes based on one or more ranking criteria, such as a number of key ingredients of the recipe that are present in the shopping list. The system may provide the one or more ranked recipes to the user client device for presentation.

An object of a system according to an embodiment is to analyze a food display and automatically generate an appropriate menu or recipe.SOLUTION: A system includes an image analysis part, a menu proposal part, a recipe generation part, and an image generation part. The image analysis unit analyzes the image of the food display. The menu proposal unit proposes an appropriate menu on the basis of the information specified by the image analysis unit. The recipe generation part generates a recipe on the basis of the menu proposed by the menu proposal part. The image generation unit generates a finished image based on the recipe generated by the recipe generation unit.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of recipe recommendation, and discloses a recipe recommendation method and system based on machine learning. The method comprises the following steps: constructing a user portrait generation model, a multi-dimensional feature extraction model and a recipe recommendation model by using a machine learning algorithm; collecting real-time multi-source data of a user, and generating a user portrait by using the user portrait generation model according to the real-time multi-source data to obtain a real-time user portrait; acquiring a plurality of pieces of real-time recipe data, extracting real-time multi-dimensional feature vectors of the plurality of pieces of real-time recipe data by using the multi-dimensional feature extraction model, and constructing a recipe database; and according to the real-time user portrait and the recipe database, performing recipe recommendation by using the recipe recommendation model to obtain a real-time recipe recommendation list of the user. The problems of single data source, lack of dynamic adaptability and limitation of recommendation in the prior art are solved.

A system is provided.SOLUTION: A system comprising: terminal means for inputting a desire of a customer; communication means for transmitting the input desire to a server; generation means for generating an optimal cocktail based on the desire; transmission means for returning information including a recipe, an image of appearance, and a name of the generated cocktail to the terminal; and learning means for reflecting feedback information in the generation means.SELECTED DRAWING: Figure 1