1086 results about "Recipe" patented technology

A system can process an indication of user data, wherein the user data comprises a food item including at least one recipe having one or more ingredients, and a query, wherein the query is associated with at least one ingredient, and generate, based at least in part on the query, nutrition data associated with the at least one ingredient, wherein the nutrition data comprises preparation data, sourcing data, delivery data, and a list of nutrients for the at least one ingredient. The system can further estimate, based at least in part on the nutrition data associated with the least one ingredient, a nutritional score, then compare the estimated nutritional score to a threshold, and based on the compared nutritional score, generate one or more instructions to cause an indication of the nutritional score on a user device.

To provide an information processing method, an information processing device and a program capable of easily customizing a recipe in accordance with equipment and utensils owned by a user.SOLUTION: An information processing method includes the steps of: acquiring a first recipe including a plurality of blocks including first information indicating equipment and utensils to be used in a plurality of cooking steps; acquiring second information indicating equipment and utensils owned by a user and information indicating operating states of the equipment and the utensils indicated by the second information; generating a second recipe obtained by deleting, from the first recipe, blocks including equipment and utensils that are included in the first information but are not included in the second information and blocks including equipment and utensils having an operating state indicating being in operation; and outputting information indicating the second recipe to be displayed on a display.SELECTED DRAWING: Figure 14

The invention relates to the technical field of intelligent cook machine recommendation, and discloses an intelligent cook machine recipe recommendation and operation control method, which comprises a user input module used for receiving user instructions including food material types, cooking targets, diet restrictions and equipment models; the recognition module is used for collecting food material weight and state data; the data processing module adopts a multi-modal fusion algorithm; the recipe recommendation module is based on an improved collaborative filtering algorithm and a knowledge graph; and the output module is used for controlling the instruction generation unit to output a sectional operation instruction set according to the selected recipe. By integrating the image recognition unit and the weight sensor, the type, weight and state data of food materials placed in the chef machine by a user can be collected in real time, and correction processing is carried out in combination with the environment temperature and humidity sensor; therefore, the existing food material inventory of the user can be accurately considered during recipe recommendation, and the problem that the existing food materials of the user cannot be fully utilized during recipe recommendation by an existing system is solved.

A recipe search support apparatus 10 is provided with: a storage unit 11 to hold recipe information; an information storage unit 100 configured to, when a recipe site receives a use report of a recipe from a user, receive an input of feature information of the recipe and store the feature information in association with the recipe and the use report in the storage unit 11; and an information output unit 101 configured to, when the recipe site receives a recipe search request, search the storage unit 11 for feature information matching a search keyword included in the request and output at least one of a recipe and a use report associated with the feature information.

The invention discloses a customer health data intelligent management system and method, and belongs to the technical field of health data management. Basic data and health data are collected; the client inputs a daily menu and calculates nutrients; establishing a daily nutrient matrix based on nutrients, and identifying a diet mode; defining a taste space, and extracting taste features based on the seasoning use condition of the menu every day; integrating to form an input vector; establishing a personalized nutrition demand prediction model, and training to obtain nutrition constraints; retrieving the candidate recipes based on nutrition constraints, and performing taste matching to obtain recommended recipes; based on the menu selection records of the similar clients, the recommended menu is optimized; dynamically adjusting the recommendation strategy according to the score of the customer for the recommended menu to obtain an optimal menu; when the customer eats the optimal menu, the change of health data before and after diet intervention is calculated, and the intervention effect is quantified; nutrients needed by the client are adjusted based on the intervention effect, and the optimal menu is correspondingly adjusted.

To provide a system.SOLUTION: A system includes: means for analyzing numerical data included in the result of health screening provided by a user that indicates the health state of the user; means for inputting a specific prompt sentence to a generative AI model and thereby providing, on the basis of the analysis result, advice on the health habit and meal of the user and the exercise performed by the user, as advice on the health of the user; means for providing, on the basis of the analysis result, the user with a one-week recipe customized in conformity with the heath state of the user; means for analyzing the photographs of the meal registered by the user and proposing a plan for improving the meal of the user; and optimization means for optimizing the advice on health and the recipe on the basis of emotion by using an emotion engine that recognizes the emotion of the user and the generative AI model.SELECTED DRAWING: Figure 1

The invention relates to the technical field of information recommendation, in particular to a recipe recommendation method based on multi-modal anti-fact learning, which comprises the following steps: constructing a heterogeneous graph; using a graph neural network to obtain network fusion embedding characteristics of each user node as target embedding characteristics of each user node, and network fusion embedding characteristics of each recipe node in each mode; based on network fusion embedding characteristics of each recipe node in each mode, a multi-mode characteristic decoupling module is utilized to obtain mode sharing embedding characteristics, mode specific embedding characteristics and mode fusion embedding characteristics of each recipe node, and then an anti-fact learning network is utilized to obtain final anti-fact embedding characteristics of each recipe node; fusing the modal sharing embedding feature, the modal specific embedding feature and the final anti-fact embedding feature of each recipe node as the target embedding feature of each recipe node; and inputting the target embedded features of each user node and each recipe node into a prediction module, and outputting a prediction score between each user and each recipe. The recipe recommendation precision is improved.

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.

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.

A method for providing recipes for cooking to a user of a cooking device includes providing a trained recipe generator and / or training a recipe generator, receiving a trigger, especially a request, a query or a prompt, from the user of the cooking device, generating, based on the trigger, a new recipe using the recipe generator, and providing the new recipe to the user. A related data processing program product, a control unit of the cooking device, a related central entity and a system, are also provided.

The invention provides a personalized precise nutrition recipe recommendation method and system based on a genetic algorithm, and the method comprises the steps: inputting various personal information, including gender, age, weight, height, and nutrition risk information (lack of nutrients, risk genes or risk SNP ID), all the personal information being dynamically linked together, and quantitative nutrient demands are generated for specific individuals according to the resident dietary nutrient reference intake and a pre-constructed nutrient-gene interaction database. A food nutrient composition database is pre-constructed on the system and comprises various foods from four different countries and nutritional ingredients of the foods. And then, according to individual quantitative nutrient requirements, selecting and combining food by writing a genetic algorithm, iteratively perfecting the combination of food types and food amounts, and finally outputting an accurate nutrition recipe meeting individual nutrition requirements.

The invention discloses a nutrition recipe intelligent generation system and method, and belongs to the technical field of nutrition information processing and intelligent recommendation. The system is suitable for individual nutrition management of individuals of all ages, and particularly, optimization design is carried out for infant stages of 0-72 months. The system intelligently generates a personalized nutrition recipe based on individual basic information, growth indexes, nutrition standards, available food materials, user preferences and feedback and other multi-dimensional data, and supports nutrition intake evaluation and dynamic optimization. The system comprises core modules of data input, nutritional requirement calculation, recipe generation, nutrition analysis and interactive display and the like, and expands and supports functions of sensitization screening, regional and seasonal adaptation, work and rest linkage, family sharing and the like. Through fusion of individual growth data and environmental conditions, the system realizes scientific and high-adaptability nutrition recommendation, improves feeding convenience and intervention accuracy, and has a wide application prospect.

The invention discloses a nutrition improvement nursing method for a gastrointestinal digestion patient, and relates to the field of medical monitoring, and the method comprises the following steps: analyzing to obtain the current absorption amount of to-be-supplemented nutrient elements of the gastrointestinal digestion patient; analyzing to obtain a health influence coefficient of the to-be-supplemented nutrient elements on the gastrointestinal digestion patient; acquiring an absorption promotion coefficient between the to-be-supplemented nutrient elements and other to-be-supplemented nutrient elements; forming a to-be-updated recipe of the current recipe; calculating a health contribution value of the to-be-updated recipe to the gastrointestinal digestion patient; and calculating the coincidence proportion of the to-be-updated recipe relative to the current recipe, and performing recipe change on the current recipe. According to the method, the health influence coefficient is obtained through analysis, the absorption promotion coefficient is obtained, the to-be-updated recipe is formed, the corresponding health influence is obtained according to the deficiency of different to-be-supplemented nutrient elements, and the mutual influence condition existing between the different to-be-supplemented nutrient elements is also considered, so that the prediction result of nutrient absorption is closer to the reality.

The invention discloses a health data analysis and nutrition recipe generation method based on an enhanced large model, and the method comprises the steps: constructing an enhanced large language model, and obtaining an optimal autoregression language model according to an optimized multi-source heterogeneous data set; constructing a medical nutrition knowledge graph to fuse the structured data and the unstructured data of the medical nutrition to obtain an optimized medical nutrition knowledge graph; according to the optimized multi-source heterogeneous data set, constructing a user health portrait used for obtaining multi-dimensional health features of the user; and constructing a user health state time sequence prediction model to obtain user health state data, and obtaining a personalized nutrition recipe in combination with the optimized medical nutrition knowledge graph. The problems that in a traditional method, a data source of health data analysis is single, integration of multi-source heterogeneous data is lacked, the health condition of an individual is difficult to comprehensively reflect, knowledge coverage of the generated recommended recipe is incomplete, the illusion phenomenon is likely to be generated, and the generated recipe is insufficient in pertinence and scientificity are solved.

The invention relates to the field of catering management, in particular to a healthy diet-based catering management method, which comprises the following steps of: acquiring and integrating user information, acquiring user diet basic information, distributing a monitoring period and continuously observing the dynamic change of the user diet basic information to provide a basis for subsequently generating a diet scheme; by generating the initial recipe, processing to obtain the personalized recipe and optimizing the recipe recommendation strategy, the diet plan is ensured to be closer to the actual demand of the user, and the user experience is improved; according to the optimized recipe recommendation strategy, an intelligent diet scheme is evaluated, accurate tracking of food materials and intelligent dish matching are carried out, and the accuracy and controllability of cooking are improved; the financial information of the restaurant is analyzed, the cost control is optimized, the operation cost of the restaurant is reduced, the profitability is improved, and a powerful guarantee is provided for sustainable development of the restaurant. The method is used for solving the technical problem that the current catering management efficiency is not high.

The invention relates to the technical field of automatic pattern generation and execution, and provides a beverage garland track generation method based on a specific pattern, which can be widely applied to the fields of beverage garland, food decoration, artistic creation and the like, and comprises the following steps: S1, receiving pattern input; s2, analyzing the pattern input to obtain control parameters; s3, generating an execution path based on the control parameters; and S4, generating a control track according to the execution path and executing the control track. Through the basic geometric primitive combination, the pattern formula system and the user input conversion pipeline, the preset garland pattern and user-defined input are adapted, accurate and stable reproduction and flexible expansion of the garland pattern are realized, and the personalized creation capability of the automatic coffee machine is improved. The system is compatible with multiple types of executing mechanisms such as 4-7-axis mechanical arms, breaks through traditional input limitation, supports multi-mode interaction such as natural languages and gestures, can autonomously learn and evolve, constructs open creative ecology, and has four innovation points.

A recipe acquisition unit acquires a plurality of cooking steps. An operation block processing unit associates one or more blocks to each of the plurality of cooking steps. A situation acquisition unit acquires information on a situation of a user. A cooking block selection processing unit selects, in each of the plurality of cooking steps, a block suited to the situation of the user from the one or more blocks. A cooking program creation processing unit creates a cooking program suited to the situation of the user by combining the block selected in each of the plurality of cooking steps. An output unit outputs the cooking program created.

Provided in the present application are a process recipe synchronization method and apparatus, and a semiconductor process device. The process recipe synchronization method comprises: using a multi-thread asynchronous task processing method, determining a target process recipe, which is not stored in a recipe database, in a target process device, and synchronizing the target process recipe to the recipe database. Compared with the usage of a single thread to process a process recipe synchronization task, in the present application, a plurality of threads are independent of each other and simultaneously process a process recipe synchronization task, such that the duration required for process recipe synchronization can be greatly shortened, and the waiting duration of a user is reduced.

The invention belongs to the technical field of information, and particularly relates to a healthy recipe adjusting method and device, equipment and a storage medium, and the method comprises the steps: determining the physical characteristics of a user, inputting the preference information of the user and the physical characteristics into a pre-trained recipe recommendation model, and obtaining a recommended recipe output by the recipe recommendation model; obtaining feedback information of the recommended recipe, wherein the feedback information comprises first image data, first sound data and first physiological data after the user diets according to the recommended recipe; according to the feedback information, the health index change degree of the user is determined based on the feedback information, and the recommended recipe is adjusted under the condition that the health index change degree does not reach the preset condition, so that the recommended recipe used by the user can be dynamically adjusted along with the actual body condition of the user, and the body health of the user is continuously promoted.

To provide a system that includes: means that proposes recipes that take into consideration allergies, food preferences, and activity levels of a child, gets information about special offers at nearby supermarkets, and proposes recipes that use affordable and seasonal ingredients; and means that accumulates images of food ingredient lists, when allergic symptoms appear, AI will suggest which ingredients are suspected.SOLUTION: The system includes: means for proposing recipes that take into account allergies, food preferences, and physical activity levels of a child; means of getting information about special offers at nearby supermarkets, and means of proposing recipes that use affordable and seasonal ingredients; and means that accumulates images of the ingredients of foods consumed, and when allergic symptoms appear, AI suggests which ingredients are suspected.SELECTED DRAWING: Figure 1

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 discloses a method and a system for generating a candy formula based on retrieval enhancement generation and a large language model, and a medium. According to the method, a multi-source heterogeneous data set is constructed, a vector database in the field of candy formulas is established, formula requirements input by a user are received, feature vectors are generated, similarity retrieval and correction are carried out in the candy formula vector database, and a retrieval result is obtained to serve as a context prompt. And the pre-trained formula large model quickly generates a candy formula according to context prompts. According to the candy formula generation method, context prompts of domain knowledge enhancement are formed through similarity retrieval, unreasonable data are corrected by utilizing a candy formula standard verification database, a large language model is effectively guided to output candidate schemes meeting food science specifications, and the problem that when a general large language model is directly applied to generate a formula, the candidate schemes are difficult to output is solved. The formula deviates from the industrial standard; and a reward function is further introduced through reinforcement learning to optimize the candy formula, so that the research and development cycle of the candy formula is remarkably shortened.

Provided in the present invention are a food processor and a control method. The food processor comprises: an input and display device, which is configured to at least receive information input by a user and display food-processing-type information; a stirring device, which is configured to contain ingredients and stir the ingredients; a heating device, which is configured to heat the ingredients; a weighing device, which is configured to weigh the ingredients; and a central controller, which is connected to the input and display device, the stirring device, the heating device and the weighing device and is configured to determine a reference recipe on the basis of the information input by the user, determine, by means of the weighing device, the actual weight of main ingredients added by the user, determine a target recipe by taking into account the reference recipe and the actual weight, and then control the operation of the stirring device and / or the heating device on the basis of the target recipe, so as to complete food processing, wherein the weights of ingredients and parameters involved in a food processing flow in the target recipe are different from those in the reference recipe. The food processor of the present invention can flexibly configure a recipe according to user requirements, and can implement food processing on the basis of a newly configured recipe.

An online system receives a request from a client device associated with a user to generate a recipe. Based on the request and data for the user, the system generates a prompt to generate the recipe, provides the prompt to a large language model, extracts the recipe from an output of the model, and displays an interface describing the recipe. Upon receiving an additional request to modify the recipe, a process including generating another prompt to modify the recipe, providing this prompt to the model, extracting a modified recipe from another output of the model, and updating the interface to describe the modified recipe, is performed and repeated for each additional request. When a recipe is accepted, the system predicts an availability of each associated item and updates the interface to include an option to add a set of the items to a shopping list based on the predicted availability.

The embodiment of the invention provides a menu recommendation method, device and system based on a knowledge graph path. The method comprises the following steps: obtaining to-be-recommended character data; and performing entity relationship processing on the to-be-recommended character data based on a menu knowledge graph to generate corresponding menu recommendation data. According to the method, the relationship path between the entities in the menu is established through the knowledge graph, and the personalized menu of the user is recommended according to the corresponding relationship path, so that richer and profound semantic understanding is provided in the menu recommendation process, the user demand is better helped to be understood in the menu recommendation process, and the user experience is improved. Therefore, the defects of user personalization and multi-dimensional recommendation in a traditional recommendation method are effectively overcome, and intelligence and personalization of menu recommendation are improved.

Disclosed embodiments relate to a system and process by which a photograph or other image, containing written text of a recipe, can be digitized and transformed into a digital artifact, such that an e-commerce shopping cart or grocery list of required products can be automatically assembled based on the digitization.

The invention relates to a method (M1, M2) for providing a recipe (VR, TR) for cooking to a user (N1, N2, N3) of a cooking device (10), an associated data processing program product, a control unit (1) of a cooking device, an associated central entity (50) and a system (80). The method comprises the steps of: providing (S1, S11) a trained recipe generator and / or training (S1, S11) a recipe generator; receiving (U1, U11) a trigger, in particular a request, inquiry or prompt, from a user of the cooking device; generating (S3, U13) a new recipe using the recipe generator according to the trigger; and providing (U4, U14) the new recipe to the user.

The invention relates to the technical field of cocktail preparation, discloses a cocktail formula generation method and system based on a database and a large language model, and aims to solve the problem that a data acquisition method of an existing terminal device is low in formula feasibility. Cocktail formula data are obtained, and a local cocktail formula database is constructed according to the cocktail formula data; obtaining a natural language description text and an existing raw material list corresponding to the wine blending demand of the user, and carrying out vector coding on the natural language description text to generate a user text vector; multiple pieces of cocktail formula data are jointly retrieved from the cocktail formula database to serve as reference formula data; and according to the reference formula data, the natural language description text and the existing raw material list, constructing prompt words, inputting the constructed prompt words into the large language model, and generating a new cocktail formula under the constraint of the existing raw material list. The feasibility of the cocktail formula is improved.

The invention relates to the technical field of artificial intelligence, and discloses a multi-agent-based formula process optimization method, device and equipment, and the method comprises the steps: collecting production environment parameters in real time through a perception layer agent cluster, generating an environment sensing data set, inputting the environment sensing data set to a digital twinborn, mapping the environment sensing data set into virtual environment state data, and carrying out the simulation of the virtual environment state data. And processing the virtual environment state data through a decision-making layer intelligent agent cluster to obtain process adjustment parameters and a formula topological structure, thereby performing game optimization, and obtaining a target process instruction and a target formula. The environment sensing data set is obtained through the sensing layer intelligent agent to ensure the timeliness and accuracy of the data, virtual simulation of the production process is achieved by mapping the virtual environment state data, process adjustment parameters and a formula topological structure are optimized through game optimization, automation and intelligentization from data collection to optimization decision making are achieved, and the production efficiency is improved. Manual intervention is reduced, and the optimization efficiency of the formula process is remarkably improved.