WO2017050167A1

WO2017050167A1 - Diet recommendation method and system

Info

Publication number: WO2017050167A1
Application number: PCT/CN2016/098964
Authority: WO
Inventors: 曾祥源
Original assignee: 深圳市九洲电器有限公司
Priority date: 2015-09-21
Filing date: 2016-09-14
Publication date: 2017-03-30
Also published as: CN105160007A

Abstract

Disclosed are a diet recommendation method and system. On the basis of a set top box, a diet database and a user database are created. According to a user identity query database, the current weather and the physical condition of a user are acquired, and a matching recipe is recommended to the user. Consequently, the user knows what diets are suitable according to different weather and physical conditions, and diets can be effectively and reasonably arranged, thereby ensuring that diets can have a good healthy effect, and producing a great benefit for the health of people.

Description

Manual Title: Dietary Recommended Method and System Technical Field

[0001] The present invention relates to the field of communications, and in particular, to a dietary recommendation method and system.

Background technique

[0002] At present, with the improvement of people's living standards, people's health requirements are getting higher and higher, and diet is directly related to people's health. Diet quality has become a special concern.

[0003] The quality of a diet has a lot to do with the weather and people's physical condition. There are also differences in dietary requirements for different weather and different physical conditions. However, people often do not understand, do not know which diets are suitable for different weathers and physical conditions, so that they cannot effectively and reasonably arrange diets, and cannot guarantee that the diets have a good health effect and have an impact on people's health.

technical problem

[0004] In view of this, it is necessary to provide a dietary recommendation method and system for the above-mentioned problem that people cannot reasonably and effectively arrange diet.

Problem solution

Technical solution

[0005] The present invention provides a dietary recommendation method, including the following steps:

[0006] S10: creating a diet database and storing it in a set top box, the diet database storing a plurality of recipes, and each of the food spectrums corresponds to a corresponding weather and a physical condition suitable for the population;

[0007] S20: creating a user database and storing it in a set top box, the user database storing the identity, physical condition and eating preferences of multiple users;

[0008] S30: After the user needs to recommend the diet, the control set top box obtains the current weather and the user identity, and searches the diet database and the user database according to the weather and the user identity to obtain a matching recipe recommendation to the user.

[0009] In one embodiment, the step S30 further includes: sorting the matched recipes according to the user's eating preferences, and recommending the user's preference to a high priority.

[0010] In one embodiment, the method further includes: S40: according to a recipe recommended to the user, Get the ingredients you need for your recipe, check the price of local ingredients online, and send the price to the user.

[0011] In one embodiment, the step S40 further includes: querying the price of the local food material through the network, calculating the price of the recipe according to the price of the food item, and sorting the recipe according to the high and low recipe price.

[0012] The present invention also provides a diet recommendation system, including:

[0013] a diet data creating unit, configured to create a diet database and store to the set top box, the diet database stores a plurality of recipes, and each recipe corresponds to a corresponding weather and a physical condition suitable for the crowd;

[0014] a user database creating unit, configured to create a user database and store to a set top box, where the user database stores the identity, physical condition and eating preferences of the plurality of users;

[0015] The recipe matching unit, after the user needs to recommend the diet, controls the set top box to obtain the current weather and the user identity, and matches the diet database and the user database according to the weather and the user identity to obtain a matching recipe recommendation to the user.

[0016] In one embodiment, the recipe matching unit sorts the matched recipes according to the user's eating preferences, and preferentially recommends the user's preference.

[0017] In one embodiment, the system further includes: a price inquiry unit, obtaining the ingredients required for the recipe according to the recipe recommended to the user, querying the price of the local ingredients through the network, and sending the price to user.

[0018] In one embodiment, the price inquiry unit queries the price of the local food item through the network, calculates the price of the recipe according to the price of the food item, and sorts the recipe according to the high and low recipe price.

Advantageous effects of the invention

Beneficial effect

[0019] The dietary recommendation method and system of the present invention creates a diet database and a user database based on the set top box, queries the database according to the user identity, and obtains a recipe matching the current weather and the user's physical condition recommendation to the user, thereby making the user aware of different weather and physical conditions. It is suitable for which diet, effective and reasonable arrangement of diet, to ensure that the diet has a good health effect, and it is of great benefit to people's health.

Brief description of the drawing

DRAWINGS

1 is a flow chart of a dietary recommendation method in an embodiment;

2 is a schematic structural view of a diet recommendation system in one embodiment. Embodiments of the invention

[0022] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

1 is a flow chart of a diet recommendation method in an embodiment. As shown in FIG. 1, the method includes the following steps:

[0024] S10: Create a diet database and store it in a set top box. The diet database stores a plurality of recipes, and each of the foods corresponds to a corresponding weather and a physical condition suitable for the population.

[0025] A set top box is widely used as a device in a home, and is commonly used by a user in conjunction with a television set. Therefore, the present invention is based on a set top box to recommend food to the user. In order to be able to make dietary recommendations to the user, a corresponding recommendation database needs to be constructed. In this embodiment, a diet database is created. The diet database is used to store multiple recipes. Each recipe corresponds to a specific weather and a suitable physical condition. For example, people who are in contact with temperature, humidity, and which physical conditions are suitable for consumption. After building the diet database, you can make recommendations based on the weather and the physical condition of the user.

[0026] S20: Create a user database and store it in the set top box. The user database stores the identity, physical condition and eating preferences of multiple users.

[0027] After creating the diet database, a user database is further created for storing user information for user convenience. User information includes user identity, physical condition, and dietary preferences, so that users can be quickly located to understand the user's physical condition (whether there is a disease, etc.) and dietary preferences (which diets are more loved or excluded).

[0028] S30: After the user needs to recommend the diet, the control set top box obtains the current weather and the user identity, and searches the diet database and the user database according to the weather and the user identity to obtain a matching recipe recommendation to the user.

[0029] After creating the diet database and the user database, when the user needs to make a recommendation, the user sends a request to the set top box, and the set top box acquires the current weather and the user identity, and then matches the database according to the user identity and the current weather to obtain a matching. Recipe to achieve the right dietary recommendations.

[0030] In a further aspect, the step further comprises: sorting the matched recipes according to the user's eating preferences , recommending priority to users with high user preference. This fully considers the user's preference to recommend the best recipes to the user, to a greater extent to meet user needs.

[0031] S40: According to the recipe recommended to the user, the ingredients required for the recipe are obtained, the price of the local ingredients is inquired through the network, and the price is sent to the user.

[0032] After recommending the recipe to the user, the user needs to prepare the ingredients needed for the recipe. In order to facilitate the user to understand the cost and the place of purchase, the price of the ingredient is further checked through the network, and the price is displayed to the user, which is sufficient for the user to select.

[0033] In a further aspect, the step is specifically: querying the price of the local food through the network, calculating the price of the recipe according to the price of the food, and sorting the recipe according to the price of the recipe. This allows users to clearly understand the price of each recipe and choose according to their needs.

[0034] The dietary recommendation method creates a diet database and a user database based on the set top box, queries the database according to the user identity, and obtains a recipe matching the current weather and the user's physical condition recommendation to the user, so that the user knows which diets are suitable for different weather and physical conditions. Effective and reasonable arrangement of diet, to ensure that the diet has a good health effect, and to greatly benefit people's health.

[0035] In the meantime, the present invention also provides a diet recommendation system, the system comprising:

[0036] A diet data creating unit is configured to create a diet database and store it in a set top box, the diet database stores a plurality of recipes, and each recipe corresponds to a corresponding weather and a physical condition suitable for the crowd.

[0037] A set top box is widely used in the home, and is commonly used by users in conjunction with a television set. Therefore, the present invention is based on a set top box to recommend food to the user. In order to be able to make dietary recommendations to the user, it is necessary to construct a corresponding recommendation database, in this embodiment, the diet data creation unit creates a diet database. The diet database is used to store a variety of recipes. Each recipe corresponds to a specific weather and a suitable physical condition. For example, people who are in contact with temperature, humidity, and which physical conditions are suitable for consumption. After building the diet database, you can make recommendations based on the weather and the physical condition of the user.

[0038] A user database creation unit is configured to create a user database and store it to the set top box, and the user database stores the identity, physical condition and eating preferences of the plurality of users.

[0039] After creating the diet database, for the convenience of the user, a user database is further created for storing user information. User information includes user identity, physical condition and dietary preferences, so that users can be quickly located to understand the user's physical condition (whether there is a disease, etc.) and dietary preferences (for which diet) More love or rejection, etc.).

[0040] The recipe matching unit, after the user needs to recommend the diet, controls the set top box to obtain the current weather and the user identity, and matches the diet database and the user database according to the weather and the user identity to obtain a matching recipe recommendation to the user.

[0041] After creating the diet database and the user database, when the user needs to make a recommendation, the user sends a request to the set top box, and the set top box obtains the current weather and the user identity, and then matches the database according to the user identity and the current weather to obtain a matching. Recipe to achieve the right dietary recommendations.

[0042] In a further aspect, the recipe matching unit sorts the matched recipes according to the user's dietary preferences, and preferentially recommends the user's preference. This fully considers the user's preference to recommend the best recipes to the user, to a greater extent to meet user needs.

[0043] The price inquiry unit obtains the ingredients required for the recipe according to the recipe recommended to the user, queries the price of the local ingredients through the network, and transmits the price to the user.

[0044] After recommending the recipe to the user, the user needs to prepare the ingredients needed for the recipe. In order to facilitate the user to understand the cost and the place of purchase, the price of the ingredient is further queried through the network, and the price is displayed to the user, which is sufficient for the user to select.

[0045] In a further aspect, the price inquiry unit queries the price of the local ingredients through the network, calculates the price of the recipe based on the price of the ingredients, and sorts the recipes according to the price of the recipe. This allows users to clearly understand the price of each recipe and choose according to their needs.

[0046] The diet recommendation system creates a diet database and a user database based on the set top box, queries the database according to the user identity, and obtains a recipe matching the current weather and the user's physical condition recommendation to the user, so that the user knows which diets are suitable for different weather and physical conditions. Effective and reasonable arrangement of diet, to ensure that the diet has a good health effect, and to greatly benefit people's health.

[0047] The dietary recommendation method and system of the present invention creates a diet database and a user database based on the set top box, queries the database according to the user identity, and obtains a recipe matching the current weather and the user's physical condition recommendation to the user, thereby making the user aware of different weather and physical conditions. It is suitable for which diet, effective and reasonable arrangement of diet, to ensure that the diet has a good health effect, and it is of great benefit to people's health.

Referring to FIG. 2, the present invention provides a schematic diagram of a diet recommendation system 200. The food recommendation system 200 may be a set top box or the like including computing power, and the specific embodiment of the present invention is not for the food recommendation system. Body implementation is limited. Diet recommendation system 200 includes:

[0049] processor 210, communication interface 220, memory

(memory) 230, bus 240.

[0050] The processor 210, the communication interface 220, and the memory 230 complete communication with each other through the bus 240.

[0051] The communication interface 220 is configured to communicate with an external device, such as a personal computer, a server, or the like.

[0052] The processor 210 is configured to execute the program 232.

[0053] Specifically, the program 232 can include program code, the program code including computer operating instructions.

[0054] The processor 210 may be a central processing unit CPU, or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0055] The memory 230 is configured to store the program 232. The memory 230 may include a high speed RAM memory and may also include a non-volatile memory such as at least one disk memory. The program 232 may specifically include:

[0056] a diet data creating unit 301, configured to create a diet database and store the set-top box, the food data inventory stores a plurality of recipes, and each recipe corresponds to a corresponding weather and a physical condition suitable for the population;

[0057] a user database creating unit 302, configured to create a user database and store the set-top box, and the user database stores the identity, physical condition, and eating preferences of the plurality of users;

[0058] The recipe matching unit 303 is configured to: when the user needs to recommend the diet, control the set top box to obtain the current weather and the user identity, and query the diet database and the user database according to the weather and the user identity to obtain a matching recipe recommendation to the user.

[0059] It will be apparent to those skilled in the art that, for the convenience and brevity of the description, the specific working process of the system and the unit described above may be referred to the corresponding process in the foregoing method embodiments, and details are not described herein again.

[0060] In the several embodiments provided by the present application, it should be understood that the disclosed system and method may be implemented in other manners. For example, the system embodiment described above is merely illustrative. For example, the division of the unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed. Another point, the mutual coupling or direct coupling or communication shown or discussed The letter connection may be an indirect coupling or communication connection through some communication interface, device or unit, and may be in electrical, mechanical or other form.

[0061] The unit described as a separate component may or may not be physically distributed, and the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be distributed to multiple On the network unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0063] The functions, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a USB flash drive, a removable hard disk, a read only memory (ROM, Read-Only)

Memory, random access memory (RAM), disk or optical disk, and other media that can store program code.

The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention are included in the present invention. Within the scope of protection.

Claims

Claims A dietary recommendation method, comprising the steps of:

S10: creating a diet database and storing it in a set top box, the food database stores a plurality of recipes, and each recipe corresponds to a corresponding weather and a physical condition suitable for the crowd;

S20: creating a user database and storing it in a set top box, the user database storing the identity, physical condition and eating preferences of multiple users;

S30: After the user needs to recommend the diet, control the set top box to obtain the current weather and the user identity, and according to the weather and the user identity query the diet database and the user database to match, and obtain the matching recipe recommended to the user.

The dietary recommendation method according to claim 1, wherein the step S30 further comprises: sorting the matched recipes according to the user's eating preferences, and recommending the user's preference to a high priority.

The dietary recommendation method according to claim 1, wherein the method further comprises: S40: obtaining the ingredients required for the recipe according to the recipe recommended to the user, querying the price of the local ingredients through the network, and sending the price To the user.

The dietary recommendation method according to claim 3, wherein the step S40 further comprises: querying the price of the local food material through the network, calculating the price of the recipe according to the price of the foodstuff, and sorting the recipe according to the high and low recipe price.

A diet recommendation system, comprising:

a food data creation unit for creating a diet database and storing it in a set top box, the food database storing a plurality of recipes, and each recipe corresponding to a corresponding weather and a physical state user database creation unit suitable for the crowd, for creating a user database and storing to the set top box The user database stores the identity, physical condition and dietary preferences of the plurality of users; the recipe matching unit is configured to: after the user needs to recommend the diet, control the set top box to obtain the current weather and the user identity, and query the diet database and the user according to the weather and the user identity; The database is matched to obtain matching recipes recommended to the user.

[Claim 6] The dietary recommendation system according to claim 5, wherein the recipe matching list The matching recipes are sorted according to the user's dietary preferences, and the user's preference is given priority.

[Claim 7] The dietary recommendation system according to claim 5, wherein the system further comprises

: The price inquiry unit, according to the recipe recommended to the user, obtains the ingredients required for the recipe, inquires the price of the local ingredients through the network, and sends the price to the user.

[Claim 8] The dietary recommendation system according to claim 7, wherein the price inquiry unit queries the price of the local food material through the network, calculates the price of the recipe according to the price of the foodstuff, and according to the price of the recipe, Sort the recipes.

[Claim 9] A diet recommendation system, wherein the diet recommendation system comprises: a processor, a communication interface, a memory, and a bus;

The processor, the communication interface, and the memory complete communication with each other through a bus; the communication interface is configured to communicate with an external device;

The processor is configured to execute a program;

The memory is configured to store the program;

The program includes: