29 results about "Food preference" patented technology

A method for generating food recommendations includes obtaining food item files from online sources. Ingredients are identified from the food items. The food item files are tagged with metadata identifying the ingredients. A first set of vectors is generated that represent values for each of the food items and the ingredients. Food preferences are received from a user input. Ingredients are identified from the user input food preferences. A second set of vectors is generated that represent the user preferences based on the user input. The first set of vectors are compared to the second set of vectors. Vectors are selected from the first set of vectors based on similarity scores between the vector sets that meet or exceed a similarity threshold. Menu items are identified with food items that match the selected vectors. The identified menu items are provided as a recommendation.

An object of the system according to the embodiment is to individually propose and adjust a diet plan for healthy weight gain for thin people.SOLUTION: A system includes a user information input unit, a meal plan suggestion unit, and a meal plan adjustment unit. The user information input unit inputs detailed information on the user's physical constitution, dietary preferences, and health condition. The meal plan suggestion unit suggests a meal plan based on the information input by the user information input unit. The meal plan adjustment part adjusts the meal plan suggested by the meal plan suggestion part on the basis of the user's physical condition and reaction to the meal.SELECTED DRAWING: Figure 1

The system according to the embodiment comprises a receiving unit, a proposal unit, an acquisition unit, an accumulation unit, and an identification unit. The receiving unit receives allergy information, food preferences, or information on an amount of exercise of a user. The proposal unit analyzes the information received by the receiving unit and proposes a recipe. The acquisition unit acquires special sale information of a nearby supermarket. The accumulation unit accumulates ingredient list images of consumed food. The identification unit identifies which ingredient is suspected when an allergic symptom occurs.

This invention relates to the field of health data analysis technology, and particularly to a method and application for analyzing the correlation between eating micro-expressions and food satisfaction based on deep learning. The method includes the following steps: S1, capturing facial video images of users during the eating process using a camera device, and extracting eating facial feature sequences from them; S2, separating chewing actions and facial muscle movements from the eating facial feature sequences based on the spatial displacement differences of facial key points, and obtaining target micro-expression feature vectors. In this invention, by cross-evaluating the captured eating micro-expression emotional state with the user's physiological health indicators, nutritional threshold constraints and weight corrections are applied to the initial food preferences generated based on emotions. This allows for strict control of the intake of core risk nutrients while catering to the user's personal taste satisfaction, ultimately generating personalized recommended recipes that balance emotional experience and medical health standards.

An object of a system according to an embodiment is to easily realize a healthy meal for a family.SOLUTION: A system includes an information collection part, a preference management part, a nutrition balance part, a recipe proposal part, and a food expense management part. The information collection unit collects bargain information of the nearest supermarket. The preference management unit manages food preferences and allergy information of the user. The nutrition balance unit manages the nutrition balance based on the nutrition balance. The recipe proposing unit proposes a recipe based on the family structure. The food expense management unit manages food expenses.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to propose an optimal hometown tax payment based on a taste of food and a family structure of a customer.SOLUTION: A system according to an embodiment includes a customer information collection unit, a proposal generation unit, and a conversation processing unit. The customer information collection unit collects information such as food preferences and family members of the customer. The suggestion generation unit suggests a temporary hometown tax payment on the basis of the information collected by the customer information collection unit. The conversation processing unit improves the accuracy of the suggestion by allowing the generation AI and the customer to have a conversation on the basis of the suggestion generated by the suggestion generation unit.SELECTED DRAWING: Figure 1

We provide the system. [Solution] Image analysis means that receives image data acquired from a user terminal and converts said image data into text data, An analytical means for analyzing preference information obtained from users and inferring the user's food preferences based on said preference information, A generation means that generates an appropriate meal menu based on text data obtained by the image analysis means and preference information obtained by the analysis means, A system including a search means for searching for cooking videos related to the generated meal menu and providing information on how to access said cooking videos.

The invention provides an operation server and method of a personalized healthy food recommendation platform. A personalized health custom food recommendation platform operation server may include at least one processor and a memory storing instructions for the at least one processor to perform at least one operation. The at least one operation includes receiving personal health information from an external server, classifying the received personal health information into at least one class, and combining the personal health information classified into the at least one class to create a personal health information score, calculating a received food preference. The method may include an operation of acquiring information from an external server, classifying received food preference information into at least one category, and calculating a food preference information score by combining the food preference information classified into the at least one category. And adding the calculated personal health information score and the food preference information score, and carrying out descending sorting on the calculated food recommendation scores to generate a food recommendation list.

The system according to this embodiment aims to propose the optimal travel plan based on the user's food preferences and travel style. [Solution] The system according to the embodiment comprises a reception unit, an analysis unit, a proposal unit, and a reservation management unit. The reception unit receives input from the user regarding their food preferences and travel style. The analysis unit analyzes the information received by the reception unit. The proposal unit proposes a travel plan based on the information analyzed by the analysis unit. The reservation management unit manages reservations based on the plan proposed by the proposal unit.

An aspect is a method of improving sleep quality and / or subsequent behavioural outcomes. The method includes providing a dietary recommendation by evaluating a parameter of the individual selected from the group consisting of sleep time, gender, age, BMI, PA, glycemic status, food preference, food sensitivity, caloric intake, nutrients, meal glycemic load, time of consumption and combinations thereof, providing a nutritional composition based on the dietary recommendation, and administering the nutritionalcomposition to the individual. The nutritional composition is selected from the group consisting of a first composition comprising alpha-casozepine, a second composition comprising tryptophan, a third composition comprising mulberry leaf extract, and combinations thereof. Another aspect is a non-transitory computer-readable medium storing a program that causes a device to provide a dietary recommendation and order a nutritional composition based on the dietary recommendation. Yet another aspect is a device comprising a non-transitory computer-readable medium disclosed herein.

The system according to this embodiment aims to consistently provide personalized healthy meal suggestions and deliveries based on the user's health condition and dietary preferences. [Solution] The system according to the embodiment comprises a reception unit, a decision unit, a selection unit, and an order unit. The reception unit receives the user's health status and food preferences. The decision unit determines the menu based on the information received by the reception unit. The selection unit selects a restaurant to deliver to based on the menu determined by the decision unit. The order unit orders the menu determined by the decision unit from the restaurant selected by the selection unit.

The system according to the embodiment aims to provide optimal recipes based on the contents of the refrigerator and the food preferences of the family. [Solution] A system according to an embodiment includes an input unit, a configuration input unit, an analysis unit, a generation unit, and a provision unit. The input unit inputs the contents of the refrigerator. The configuration input unit inputs family composition and food preferences. The analysis unit analyzes the information input by the input unit and the configuration input unit. The generation unit generates a recipe based on the information analyzed by the analysis unit. The provision unit provides the recipe generated by the generation unit.

We provide the system. [Solution] A means of obtaining information on food preferences, dietary restrictions, and health information from users, A means for analyzing the acquired information and selecting an appropriate food and beverage facility or food provider, A means for automatically coordinating reservations or orders at the selected food and beverage establishments or food providers, A means for suggesting a meal menu based on the user's current health status, A means for sharing information about the aforementioned food and beverage establishment or food provider and food menu with other users, A means for optimizing the meal menu using a generative AI model, A system that includes this.

The objective is to provide a method, program, and system for providing lifestyle improvement information that contributes to improving users' health and quality of life by easily checking the user's enzyme constitution type and providing information on lifestyle improvements tailored to that type. [Solution] A method for providing lifestyle improvement information, characterized by comprising: a response step in which the user inputs answers to questions regarding their body type, food preferences and / or physical condition; an enzyme constitution determination step in which the type of enzyme constitution to which the user belongs is determined based on the responses; and an information provision step in which information on lifestyle improvement is provided to the user based on the determined enzyme constitution type.

An object of a system according to an embodiment is to learn dietary preferences of a user and propose an appropriate restaurant or dish on the basis of the dietary preferences.SOLUTION: A system includes an input information collection unit, a characteristic analysis unit, a preference learning unit, and a proposal unit. The input information collection unit collects pictures and impressions of meals of the user. The characteristic analysis unit analyzes the information collected by the input information collection unit. The preference learning unit learns the preference of the user on the basis of the information analyzed by the characteristic analysis unit. The suggestion unit suggests a restaurant or a dish on the basis of the preference of the user learned by the preference learning unit.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for a user to enter information regarding personal food preferences, allergy information, health status, target nutrients, flavors, looks, textures, and cooking methods; and means for receiving and transmitting the entered information to a server in real time; and means for the server to analyze the received information, generate an optimal cooking profile for the user using AI, and store it in a database.SELECTED DRAWING: Figure 1

The invention relates to a method and system for intelligently recommending recipes, and the method comprises the steps: marking functional labels for foods according to the properties and tastes of the foods and the corresponding traditional Chinese medicine attributes, and storing the functional labels in a database; selecting keywords of food names or function labels according to user preferences or traditional Chinese medicine symptoms, screening out the food from the database, and providing diet conditioning suggestions containing the food according to medical attributes; according to one or more functional requirements of the user, a food list meeting the functional requirements is screened based on the database; performing weighted scoring on the food screened out from the food list, and recommending a corresponding dietary therapy mode according to score sorting; and according to the traditional Chinese medicine attributes and function label data corresponding to the selected food, integrating and filtering conflicting diet conditioning suggestions and dietary therapy modes, and providing a personalized function conditioning recipe for the user. According to the invention, food preferences, food attributes and functions can be comprehensively considered, so that more personalized recipes can be provided.

An object of a system according to an embodiment is to generate a daily menu on the basis of a user's food preference, allergy information, and cooking available time, and to deliver necessary food ingredients.SOLUTION: A system includes a user information setting part, a menu generation part, a food ingredient listing part, and a delivery part. The user information setting unit sets advance information such as user's food preferences, allergy information, and cooking available time for each day of the week. The menu generation part generates a daily menu on the basis of the information set by the user information setting part. The ingredient list-up unit lists up necessary ingredients based on the menu generated by the menu generation unit. The delivery unit delivers the foodstuffs listed up by the foodstuff listing unit to an address designated by the user.SELECTED DRAWING: Figure 1

An exemplary method includes receiving, by a processor, flight information from a computer device associated with an airline identifying a flight and passengers on the flight that purchased flight tickets by utilizing payment cards associated with a card authorizing entity. Passenger food preferences for the flight passengers based at least in part on historical payment card transaction data of the flight passengers is received from a computing device associated with the card authorizing entity based on the flight information. A food inventory available to be serviced on the flight is received. Automatically determining a flight-specific food inventory, to minimize an overall weight of the flight-specific food inventory to be carried by the flight based on the passenger food preferences. Automatically transmitting food packing instructions to a packing-related machine based on the flight-specific food inventory so as to assemble a portion of the flight-specific food inventory.

We provide the system. [Solution] A means for users to input family structure, food preferences, and allergy information, Means for receiving and storing the input information, A means for automatically generating a weekly menu based on the aforementioned stored information, A means for generating a list of necessary ingredients based on the automatically generated menu, A means for automatically ordering ingredients from an online store based on the generated ingredient list, A system including means for notifying the user of the automatically placed order.

An object of a system according to an embodiment is to provide a recipe in consideration of individual preferences, meal preferences, and allergy information of a user.SOLUTION: A system includes a user information collection unit, an analysis unit, a recipe generation unit, and a provision unit. The user information collection unit collects user preferences, meal preferences, and allergy information. The analysis unit analyzes the information collected by the user information collection unit. The recipe generation unit generates a recipe based on the information analyzed by the analysis unit. The providing unit provides the user with the recipe generated by the recipe generating unit.SELECTED DRAWING: Figure 1

The application belongs to the field of intelligent medical treatment, and particularly relates to a prediction method, device and medium for the absolute risk of esophageal squamous cell carcinoma. The method comprises the following steps: obtaining the hard food preference score, high-temperature food preference score and other clinical characteristics of a to-be-tested person, wherein the other clinical characteristics comprise age; calculating an unhealthy eating habit score based on the hard food preference score and the high-temperature food preference score; inputting the unhealthy eating habit score and the other clinical characteristics into an esophageal squamous cell carcinoma absolute risk prediction model to obtain the absolute risk of the to-be-tested person suffering from esophageal squamous cell carcinoma. The application calculates an unhealthy eating habit score based on the hard food preference score and the high-temperature food preference score, and determines that the unhealthy eating habit score is an effective predictor of the absolute risk of esophageal squamous cell carcinoma.

We provide the system. [Solution] A means for acquiring a user's health information and food preference information via voice and converting it into text data, A means of using a generative AI to generate an optimal meal plan based on the text data, Means for providing the generated meal plan in audio and visual formats, A means equipped with a display and audio output device for guiding the user through the cooking process and how to handle ingredients, A means of obtaining user feedback information via voice and using that feedback to improve the next meal plan, A system that includes this.

The system according to this embodiment aims to efficiently create menus tailored to individual dietary preferences and health conditions, and to provide instructions on how to prepare them. [Solution] The system according to the embodiment comprises a reception unit, a creation unit, and a generation unit. The reception unit receives input on food preferences, nutritional balance, and health information. The creation unit analyzes the information received by the reception unit and creates a menu for one month. The generation unit generates videos of how to make each dish based on the menu created by the creation unit.

We provide the system. [Solution] Means for collecting personal dietary history and health data, A means for analyzing the collected data to profile an individual's nutritional status and food preferences, A means for generating a meal menu that matches nutritional balance and individual preferences based on the aforementioned profiling results, A means for presenting the generated menu to an individual, A means of collecting individual feedback on the aforementioned menu and utilizing it for generating the next menu, A system that includes this.

The utility model provides a bird food preference selection test box. The bird food preference selection test box comprises two test box bodies, a connecting channel is fixedly installed between the test box bodies, and the two test box bodies are each internally provided with a water feeding trough and a food feeding trough. Wherein the mounting position of the water feeding trough in one test box body is the same as the mounting position of the water feeding trough in the other test box body, and the mounting position of the feeding trough in one test box body is the same as the mounting position of the feeding trough in the other test box body. The bird behavior preference selection test box provided by the utility model has the advantages that the favors of birds on food, smell, shape, light and the like can be tested, and different foods can be prevented from being mixed together.

A system is provided.SOLUTION: A system comprising: means for acquiring vital data of a user; means for acquiring preference data of cooking; means for analyzing the acquired vital data and preference data to generate an optimal cooking menu; means for providing the generated cooking menu; means for providing a cooking method based on the provided cooking menu; and means for acquiring feedback information and reflecting the feedback information in improvement of the cooking menu.SELECTED DRAWING: Figure 1

A method for generating food recommendations includes obtaining food item files from online sources. Ingredients are identified from the food items. The food item files are tagged with metadata identifying the ingredients. A first set of vectors is generated that represent values for each of the food items and the ingredients. Food preferences are received from a user input. Ingredients are identified from the user input food preferences. A second set of vectors is generated that represent the user preferences based on the user input. The first set of vectors are compared to the second set of vectors. Vectors are selected from the first set of vectors based on similarity scores between the vector sets that meet or exceed a similarity threshold. Menu items are identified with food items that match the selected vectors. The identified menu items are provided as a recommendation.

To provide facility information useful for an occupant in consideration of taste information on a meal of the occupant and a sleep state of the occupant.SOLUTION: The vehicle 1 according to the present embodiment includes the storage unit 121, the occupant monitor 111, the display unit 310, and the controller 112, the storage unit 121 stores preference information regarding a meal for each occupant of the host vehicle, the occupant monitor 111 monitors a sleep state of each occupant, and the controller 112 searches for a facility where a meal can be taken on the basis of the sleep state and the preference information of each occupant and causes the display unit 310 to display information regarding the searched facility.SELECTED DRAWING: Figure 7