KR102144965B1 - Server and method for fruit recommendation - Google Patents

Abstract

A fruit recommendation server and method are disclosed. The fruit recommendation server according to the embodiment is a wholesale/retailer that supplies fruit and fruit details including fruit type efficacy, nutrients, major components, major component ratio, and nutrient consumption ratio, user's fruit selection history, user information including personal information, and fruit And database to store and update farm information; A primary selection module for selecting at least one fruit according to user questionnaire information, preference, purchase history, and price setting; A second selection module for selecting an individual recommended fruit combination based on the purpose of eating of the user, including diet, health promotion, nutritional balance, disease treatment, and purchase of preferred fruit, and nutrients, acidity and calories of the first selected fruit; And an order information collection module that provides information on farmhouses or wholesale and retail companies that supply selected fruits and fruit combinations, and collects order information according to user selection. Includes.

Description

Fruit recommendation server and method{SERVER AND METHOD FOR FRUIT RECOMMENDATION}

It relates to a fruit recommendation server and method, and more specifically, to a server and method for recommending a fruit and fruit combination suitable for the purpose of eating a user.

Unless otherwise indicated herein, the contents described in this section are not prior art to the claims of this application, and inclusion in this section is not admitted to be prior art.

Recently, as interest in health has increased, the number of people who are interested in natural plant diet or fruit diet is increasing. There is also an increasing number of vegetarian restaurants and salad cafes for those who do not want to eat processed foods.

People who eat vegetarian or fruit diets pay a lot of attention to the composition of their diet in order to consume nutrients such as proteins and unsaturated fatty acids that tend to be insufficient. However, rather than familiarizing with the characteristics and major nutrients of the fruits included in the diet and choosing appropriately for nutrition and acidity balance, there are many cases of choosing fruits that can be easily purchased. In addition, rather than buying fresh and good quality fruits at low prices, poor quality fruits are often bought at a higher price through retailers.

1. Korean Patent Publication No. 10-2010-0062471 (2010.06.10) 2. Korean Patent Registration No. 10-1641176 (2016.07.19)

It provides a user-customized fruit recommendation method that comprehensively considers user preference, purchase history and nutrients, acidity, major ingredients, and efficacy contained in the fruit. In addition, it provides a system that generates profits for both sellers and consumers by matching wholesalers and retailers selling fresh fruit at reasonable prices and consumers.

In addition, farmhouses that provide weekend farms or camping services are matched with consumers who need this service, and consumers receive recommendations for farmhouses that provide the services they want using conditional information such as availability and distance of the farm. Make it possible.

The fruit recommendation server according to the embodiment is a wholesale/retailer that supplies fruit and fruit detailed information including fruit type efficacy, nutrients, major components, major component ratio, and nutrient consumption ratio, user's fruit selection history, user information including personal information, and fruit And database to store and update farm information; A primary selection module for selecting at least one fruit according to user questionnaire information, preference, purchase history, and price setting; A second selection module for selecting an individual recommended fruit combination based on the user's eating purpose including diet, health promotion, nutritional balance, disease treatment, and preferred fruit purchase, and nutrients, acidity, and calories of the first selected fruit; And an order information collection module that provides information on farmhouses or wholesale and retail companies that supply selected fruits and fruit combinations, and collects order information according to user selection. Includes.

The fruit recommendation method of the fruit recommendation server according to another embodiment includes (A) fruit detailed information including fruit type efficacy, nutrients, major components, major component ratio, and nutrient consumption ratio, user's fruit selection history, and personal information in the database. Storing and updating the user information and the wholesale and retail companies supplying fruit and farm information; (B) selecting at least one fruit according to user questionnaire information, preference, purchase history and price setting in the first selection module; (C) In the second selection module, the user selects an individual recommended fruit combination based on the purpose of eating, including diet, health promotion, nutritional balance, disease treatment, and purchase of preferred fruit, and the nutrients, acidity, and calories of the first selected fruit. step; And (D) the order information collection module providing information on a farmhouse or wholesale and retail company supplying the selected fruit and fruit combination, and collecting order information according to a user's selection. Includes.

The fruit recommendation server and method as described above select and recommend fruits and fruit combinations suitable for various user's eating purpose, such as disease treatment, diet, and special nutrient intake, so that the user can obtain information on fruits suitable for them. In addition, you can buy fresh fruit at an affordable price. In addition, farmers and merchants who sell fruit through wholesale and retail can expect to improve their profits by gaining the opportunity to directly sell fruit produced to consumers.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

1A is a view showing the configuration of a fruit recommendation system according to an embodiment
1B is a view showing an example of a service provided by the farmhouse facility information management system according to an embodiment
2 is a view showing a schematic data processing block of the fruit recommendation server 100 according to an embodiment
3 is a view showing a specific data processing block of the fruit recommendation server 100 according to an embodiment
4 is a diagram showing an example of detailed fruit information stored in the database 100
5 is a diagram showing an example of questionnaire items for fruit selection
6 is a diagram showing a chart for calculating an expected score between fruits included in a primary selection fruit combination according to an embodiment
7 is a data processing flow diagram of a fruit recommendation method according to an embodiment
8 is a diagram for explaining a process of extracting information on a consumer-customized fruit according to an embodiment
9 is a view showing an example of fruit classification for providing a customized fruit list according to disease, the number of family members and customer specific information in the embodiment

Advantages and features of the present invention, and a method of achieving them will be apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only the present embodiments are intended to complete the disclosure of the present invention, and the general knowledge in the technical field to which the present invention pertains. It is provided to fully inform the scope of the invention to those who have it, and the invention is only defined by the scope of the claims. The same reference numerals refer to the same components throughout the specification.

In describing embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

1A is a view showing the configuration of a fruit recommendation system according to an embodiment.

Referring to FIG. 1A, a fruit recommendation system according to an embodiment may include a fruit recommendation server 100 and a user terminal 200.

The fruit recommendation server 100 receives the user's personal information and the purpose of eating fruit from the user terminal 200, and recommends a fruit and fruit combination suitable for each user according to the detailed information of the previously stored fruit, and sends the recommended fruit information to the user terminal. Send to 200. In addition, the fruit recommendation server 100 provides information on wholesale and retail companies selling fruit to the user so that the user can immediately purchase the recommended fruit.

In the embodiment, the user terminal 200 is a tablet PC, a laptop, a personal computer, a smart phone, a personal digital assistant (PDA), and a mobile device. It may be any one of a mobile communication terminal or the like. That is, the terminal 200 means a terminal having a memory for storing a specific application for accessing the server 100 via a wireless communication network, a microprocessor for calculating and controlling by executing a program, and the like. That is, the terminal 200 is generally a personal PC, but any terminal can be used as long as the management device and server-client communication are possible, and a wide range including all communication computing devices such as notebook computers, mobile communication terminals, and PDAs. It's a concept.

The fruit recommendation server 100 transmits a fruit recommendation program and application to the user terminal 200 in a distributed manner, and fruit detailed information such as fruit efficacy and effect nutrients, acidity, health promotion, disease treatment, diet, and special nutrient intake It stores a series of data for customized fruit recommendation, including user eating purpose and user personal information.

1B is a diagram illustrating an example of a service provided by the farmhouse facility information management system according to an embodiment.

As shown in FIG. 1B, the manager terminal and the consumer terminal receive and install a fruit recommendation server application matching customized fruits and farmers from the fruit recommendation server to the consumer in a distributed manner. Thereafter, the manager terminal inputs the information produced by the farm and the farmhouse, and the consumer terminal inputs the location information and personal information of the consumer, the purpose of eating fruit and the purpose of using the farm, and the farmhouse and the consumer are matched by the recommendation algorithm. In an embodiment, the farmhouse facility information management system may further receive additional conditions such as an experience farm, a weekend farm, camping, availability of accommodation, and a distance from a consumer terminal to match the farm and the consumer that the consumer seeks. In addition, when the manager terminal registers products such as fruits and crops produced by each farm in the server, a customized fruit is recommended by a recommendation algorithm.

2 is a diagram showing a schematic data processing block of the fruit recommendation server 100 according to an embodiment.

Referring to FIG. 2, the fruit recommendation server 100 may include a database 110, a primary selection module 130, a secondary selection module 150, and an order information collection module 170. The term'module' used in this specification should be interpreted as being capable of including software, hardware, or a combination thereof, depending on the context in which the term is used. For example, the software may be machine language, firmware, embedded code, and application software. As another example, the hardware may be a circuit, a processor, a computer, an integrated circuit, an integrated circuit core, a sensor, a MEMS (Micro-Electro-Mechanical System), a passive device, or a combination thereof.

The database 110 stores a series of data necessary for driving the fruit recommendation application, such as detailed fruit information, user information, and wholesale and retail company information. In an embodiment, detailed fruit information may include fruit type efficacy, nutrients, major ingredients, major ingredient ratio, nutrient consumption ratio, etc., and user information may include user's fruit selection history, personal information, wholesale and retail company information May include order information such as contact information of wholesale and retail companies that supply fruit and fruit prices.

The first selection module 130 selects at least one fruit according to user questionnaire information, preference, purchase history, and price setting.

The second selection module 150 selects an individual recommended fruit combination based on the user's eating purpose, including diet, health promotion, nutritional balance, disease treatment, and purchase of preferred fruit, and nutrients, acidity, and calories of the first selected fruit. .

The order information collection module 170 provides information on farmhouses or wholesale and retail companies supplying selected fruits and fruit combinations, and collects order information according to user selection.

3 is a diagram showing a specific data processing block of the fruit recommendation server 100 according to an embodiment. When describing FIG. 3, in order to help understand the embodiment, FIGS. 4 to 6 will be described together.

3, the first selection module 130 of the fruit recommendation server 100 may be configured to include a fruit combination generation unit 131, a first recommendation fruit selection unit 133, and a second selection module 150 may be configured to include a weight collection unit 151, a generation unit 153 and an operation unit 155, and the order information collection module 170 is an information collection unit 171 and an information providing unit 173 It can be configured to include.

The database 110 stores fruit detailed information including fruit efficacy, nutrients, sugar content, acidity, calories, special ingredients, and ingredients, and fruit information matched to a special purpose including treatment of specific diseases and specific ingredients and nutrients. Save it. 4 is a diagram illustrating an example of detailed fruit information stored in the database 100. As shown in Fig. 4, in the embodiment, the efficacy, effect, main ingredient, peculiarity, nutrient, good source, excellent source, sugar content, acidity, nutrient ratio of each fruit are categorized. Can be saved.

The fruit combination generation unit 131 of the primary selection module 130 selects the matched fruit according to user preference and questionnaire. 5 is a diagram showing an example of questionnaire items for fruit selection. As shown in FIG. 5, the questionnaire item may include age, sex, disease, pregnancy, allergy, fruit consumption purpose, etc., and there are a plurality of selection information 111 for each questionnaire item 1. In the embodiment, a fruit combination matching each selection information is preset, and the fruit combination generation unit 131 extracts a fruit and a fruit combination matched with each selection information of the questionnaire item.

The first recommended fruit selection unit 133 selects a fruit whose number of duplicates exceeds a predetermined number from a combination of fruits matched with each of the selection information, and selects the fruit with the highest number of duplicates as the first recommended fruit. For example, when the user selects anemia in the category of chronic disease, fruits matching the anemia category include bananas, avocados, and cherries, and when cherry and blueberry are selected in the preferred fruit category, duplicate fruits in each selection Count. In the above-described embodiment, cherries are duplicated twice, and the first recommended fruit selection unit 133 counts the number of duplicates of a specific fruit in the selection item of the questionnaire, and combines the first recommended fruit and the first recommended fruit according to the number of duplicates. Extract.

In addition, in an embodiment, the first recommended fruit selection unit 133 may calculate an expected score in consideration of nutritional balance and efficacy of the selected fruit and other fruits, and may provide the predicted score information to the user. For example, when a strawberry, a banana, and a peach are included in the first recommended fruit combination, as shown in FIG. 6, the recommended fruit selection unit 133 provides predicted rating information in consideration of the nutritional balance of the two fruits and the number of duplicates. Calculate. In the example shown in FIG. 6, the predicted ratings of peaches and bananas are 0.8 and the predicted ratings of grapes and bananas are 0.9. The user can obtain and purchase fruit information that is helpful when ingested together and fruit information suitable for himself through the information on the predicted rating between the first recommended fruit and the fruit.

The secondary selection module 150 may include a weight collection unit 151, a generation unit 153, and an operation unit 155.

The weight collection unit 151 collects weights of each eating purpose when there are a plurality of eating purposes selected by the user. For example, when a user selects three purposes: diet, disease treatment, and nutritional balance, a weight that can be assigned to each purpose is input. In the embodiment, a weight is inputted from a user for each consumption purpose, and the total sum of the weights is made constant.

The generation unit 153 generates a fruit combination according to the weight of the collected eating purpose, and generates an individual recommended fruit combination that satisfies the nutritional condition, acidity condition, and calorie condition in the fruit combination. In the examples, nutritional conditions include at least three vitamins and minerals, or conditions including specific special nutrients, acidity conditions are less than a certain acidity, calorie conditions are less than certain calories per 100 grams, etc. Can be adjusted. Specifically, in the embodiment, a reference value of nutritional, acidity, and calorie conditions of a fruit combination may be adjusted according to a weight for each user purpose, and an individual recommended fruit combination may be generated.

The operation unit 155 calculates nutrients, acidity, and calories according to the intake amount of the individual recommended fruit combination, and calculates the nutrient, acidity, and calorie reference condition values of the fruits to be included in the individual recommended fruit combination according to the weight for each purpose entered by the user. . In addition, in an embodiment, the operation unit 155 may perform correlation analysis and correlation analysis between fruits, and recommend a fruit combination to a user according to the analysis result. In the embodiment, the correlation analysis and the correlation analysis may be analyzed according to the type of nutrients contained in the fruit and the type of special nutrients contained in the fruit. In the embodiment, when ingested together, a group of nutrients having a higher absorption rate or synergistic effect is identified, and the correlation of fruits containing each nutrient is set to a certain level or higher, so that when a fruit combination is created, fruits having a correlation higher than a certain level are selected. First of all, I recommend it.

The information collection unit 171 of the order information collection module 170 collects the user's personal information and order information when the user wants to purchase the first recommended fruit and the fruit and fruit combination included in the individual recommended fruit.

The information providing unit 173 provides information on farmers or wholesalers and retailers selling fruit and price information of fruit on sale.

In addition, in an embodiment, when a consumer searches for a farmhouse that provides services such as an experience farm, a weekend farm, and camping, the farmhouses providing the above service can be recommended, and among farmhouses recommended for accommodation availability and distance conditions, etc. You can choose a farm that meets the purpose of use by consumers.

Hereinafter, a method for recommending fruits according to an embodiment will be described in turn. Since the operation (function) of the fruit recommendation method according to the embodiment is essentially the same as the function of the fruit recommendation server and the system, a description overlapping with FIGS. 1 to 6 will be omitted.

7 is a data processing flow diagram of a fruit recommendation method according to an embodiment.

In step S710, fruit detailed information including efficacy by fruit type, nutrients, major components, major component ratio, and nutrient consumption ratio in the database, user information including user's fruit selection history, personal information, and wholesale and retailer and farm information supplying fruit Save and update.

In step S730, the first selection module selects at least one fruit according to user questionnaire information, preference, purchase history, and price setting. In the embodiment, step S730 may calculate an expected score in consideration of nutritional balance and efficacy of the selected fruit and other fruits, and may provide the predicted score information to the user. In addition, the primary selection module of step S730 selects a fruit that exceeds a certain number of duplicates from the step of generating a fruit and fruit combination matching each of the selection information of the questionnaire, and the fruit combination matching each of the selection information, It may include the step of selecting the fruit with the highest number of times as the primary recommendation fruit.

In step S750, in the second selection module, a combination of individual recommended fruits is selected based on the purpose of eating, including diet, health promotion, nutritional balance, disease treatment, and purchase of preferred fruits, and the nutrients, acidity, and calories of the first selected fruit. . In step S750, when there are a plurality of eating purposes selected by the user, a weight of each eating purpose may be collected and a fruit combination may be generated according to the weight of the collected eating purpose. In the embodiment, by calculating reference values of nutritional, acidity, and calorie conditions according to weights for each purpose, individual recommended fruit combinations that satisfy each condition may be generated. In addition, it is possible to calculate nutrients, acidity, and calories according to the intake of individual recommended fruit combinations.

In step S770, the order information collection module provides information on the farmhouse or wholesale and retail company supplying the selected fruit and fruit combination, and in step S790, the order information is collected according to the user's selection to match the farmhouse and the wholesale and retail company with the user.

8 is a diagram for explaining a process of extracting information on a consumer ??danced fruit according to an embodiment.

As shown in FIG. 8, the matching module of the server may provide the consumer with information on the fruit list that is pre-categorized according to the gender information, age, and purpose of fruit consumption received from the consumer. For example, if a consumer enters his or her preferred fruit as apple, grape, melon, watermelon, grapefruit, etc., and enters gender'female', age '30s', and ingestion purpose as'skin beauty', all categories Fruits such as peach and melon are recommended. In an embodiment, the server stores customized fruits according to a combination of personal information including gender, age, and purpose of consumption, and provides fruit information corresponding to the combination selected by the consumer to the consumer.

9 is a diagram showing an example of fruit classification for providing a customized fruit list according to disease, the number of family members, and customer specific information in the embodiment.

As shown in FIG. 9, the database stores in advance information on the type of fruit and product matching each item of a customer's specific item such as a disease item, a pregnant woman, and a family member item. Then, according to the information entered by the customer, a fruit list that has been matched in advance is provided for each item, and the farmers and consumers that produce the fruits included in the fruit list are matched. For example, if a customer selects'Eye Health' in'Disease Management', it provides a fruit list of mulberry, blueberry, and apricot stored in the selected item, and also provides information on farmers producing mulberry, blueberry and apricot to consumers. Can provide.

The fruit recommendation server and method as described above selects and recommends a combination of fruits and fruits suitable for the purpose of eating various users, such as disease treatment, diet, and intake of special nutrients, so that users can obtain information on fruits suitable for them. You can buy fresh fruit at an affordable price. In addition, farmers and merchants who sell fruit through wholesale and retail can expect to improve their profits by gaining the opportunity to directly sell fruit produced to consumers.

The disclosed contents are only examples, and various changes can be made by those of ordinary skill in the art without departing from the gist of the claims claimed in the claims, so the scope of protection of the disclosed contents is It is not limited to the examples.

110: database 130: primary selection module
150: secondary selection module 170: order information collection module

Claims (10)

In the fruit recommendation server,
It stores and updates fruit detailed information including efficacy, nutrients, main ingredients, main ingredient ratio, and nutrient consumption ratio by fruit type, user information including user's fruit selection history, personal information, and wholesale and retailer and farm information that supplies fruit. Database;
A primary selection module for selecting at least one fruit according to user questionnaire information, preference, purchase history, and price setting;
A second selection module for selecting an individual recommended fruit combination based on the user's eating purpose including diet, health promotion, nutritional balance, disease treatment, and preferred fruit purchase, and nutrients, acidity, and calories of the first selected fruit; And
An order information collection module that provides information on farmhouses or wholesale and retail companies supplying the selected fruit and fruit combination, and collects order information according to a user's selection; Including
The second selection module; silver
A weight collection unit that collects weights of each eating purpose when the user has a plurality of eating purposes;
A generating unit for generating a fruit combination according to the collected weight of the purpose of eating, and generating an individual recommended fruit combination that satisfies a nutritional condition, an acidity condition, and a calorie condition in the fruit combination; And
An operation unit that calculates nutrients, acidity, and calories according to the intake amount of the individual recommended fruit combinations; Including
The database is
It stores fruit detailed information including fruit efficacy, nutrients, sugar content, acidity, calories, special ingredients, and ingredients, and stores fruit information that matches special purposes including treatment of specific diseases and specific ingredients and nutrients.
The primary selection module
Calculate a predicted score considering the nutritional balance and efficacy of the selected fruit and other fruits, and provide the predicted score information to the user.
The user survey information is
Includes questionnaire items including age, sex, disease, pregnancy, allergy, and purpose of fruit intake, and the primary selection module generates a combination of fruits and fruits matching each of the selection information of the questionnaire item.
The primary selection module
Select a fruit whose number of duplicates exceeds a certain value from a combination of fruits matching each of the selection information, and select the fruit with the highest number of duplicates as the first recommended fruit.
The second selection module; silver
Correlation analysis and association analysis between fruits is performed, and a combination of fruits is recommended to users according to the analysis results. Performed,
The second selection module; silver
When ingested together, the absorption rate is increased or the group of nutrients that are synergistic is identified, the correlation of fruits containing each nutrient is set above a certain level, and when a fruit combination is created, fruits with a correlation above a certain level are prioritized and recommended. and
The nutritional conditions include at least three vitamins and minerals, or include specific special nutrients, the acidity condition is less than a certain acidity, and the calorie condition is less than a certain calorie per 100 grams, and the condition information is adjusted according to the user purpose weight. Become,
The second selection module; silver
A fruit recommendation server, characterized in that, according to a weight for each user purpose, a reference value of nutrition, acidity, and calorie conditions of a fruit combination is adjusted and an individual recommended fruit combination that satisfies the same is generated.
delete delete delete delete delete In the fruit recommendation method of the fruit recommendation server,
(A) Fruit detailed information including efficacy by fruit type, nutrients, main ingredients, main ingredient ratio, and nutrient consumption ratio in the database, user information including user's fruit selection history, personal information, and wholesale and retailer and farm information supplying fruit Saving and updating;
(B) selecting at least one fruit according to user questionnaire information, preference, purchase history and price setting in the first selection module;
(C) In the second selection module, select individual recommended fruit combinations based on the user's eating purpose, including diet, health promotion, nutritional balance, disease treatment, and purchase of preferred fruit, and nutrients, acidity, and calories of the first selected fruit. Step to do; And
(D) the order information collection module provides information on a farmhouse or wholesale and retail company supplying the selected fruit and fruit combination, and collecting order information according to a user's selection; Including
The step of (C); Is
Collecting weights of each eating purpose when there are a plurality of eating purposes selected by the user;
Generating a fruit combination according to the weight of the collected eating purpose, and generating an individual recommended fruit combination that satisfies a nutritional condition, an acidity condition, and a calorie condition in the fruit combination; And
Calculating nutrients, acidity, and calories according to the intake amount of the individual recommended fruit combinations; Including
The step of (C);
Correlation analysis and association analysis between fruits is performed, and a combination of fruits is recommended to users according to the analysis results. Analyzed,
When ingested together, the absorption rate is increased or the group of nutrients that are synergistic is identified, the correlation of fruits containing each nutrient is set above a certain level, and when a fruit combination is created, fruits with a correlation above a certain level are prioritized and recommended. and
The nutritional conditions include at least three vitamins and minerals, or include specific special nutrients, the acidity condition is less than a certain acidity, and the calorie condition is less than a certain calorie per 100 grams, and the condition information is adjusted according to the user purpose weight. Become,
According to the weight for each user's purpose, the nutritional, acidity, and calorie conditions of the fruit combination are adjusted, and an individual recommended fruit combination is created.
The step of (B); Is
Calculate the predicted score considering the nutritional balance and efficacy of selected fruits and other fruits
And provide the predicted rating information to the user,
The step of (B); Is
Generating a fruit and a fruit combination matching each of the selection information of the questionnaire item; And
Selecting a fruit that exceeds a predetermined number of duplicates from a combination of fruits matching each of the selection information, and selecting the fruit with the largest number of duplicates as the primary recommendation fruit; Fruit recommendation method comprising a. delete delete delete

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