KR20040007189A - System and method for optimization of customized menu using user's food menu information - Google Patents

Abstract

PURPOSE: A system and a method for optimizing a customized menu using the user menu information are provided to offer foods or beverages fit to a user according to a result integrating a preference and a biorhythm of the user, and weather. CONSTITUTION: A computer(5) receives the food, restaurant, beverages, and cafe information fit to the user through the Internet. A mobile communication terminal(10) receives the food, restaurant, beverages, and cafe information fit to the user through the Internet via a base station(15) and a WAP(Wireless Application Protocol) gateway server(20). A PDA(Personal Digital Assistant)(25) receives the information fit to the user through the Internet via the base station and the WAP gateway server, or the wired Internet. A menu recommending server(30) recommends and offers the information fit to the user through the computer, the mobile communication terminal, and the PDA by recommending the food, restaurant, beverages, and cafe information fit to the user based on the preference, the biorhythm, the weather, and an integrated preference.

Description

Custom menu optimization system and method using user menu information {SYSTEM AND METHOD FOR OPTIMIZATION OF CUSTOMIZED MENU USING USER'S FOOD MENU INFORMATION}

The present invention can be customized by using a user menu information for introducing food and restaurants or drinks or cafes optimized to the user using food or beverage preferences, biorhythms, weather, and location input by the user using a terminal equipped with a web browser. Menu optimization system and method.

In general, people have to choose food, restaurants, etc. to choose when eating out. Similarly, if the user wants a drink, the type of drink and the cafe must be selected. Most people find the food or drink they want and the restaurant or cafe through the information they know and the people around them. And with the development of the Internet, there are also websites that introduce restaurants or cafes on the Internet. These websites display the features, prices, photographs, locations of restaurants, and the like on the web pages of food or drinks sold in their restaurants or cafes. If the user uses the Internet to eat food or drink, activate the Internet browser, access the search site, enter the desired food, drink, or region in the search box, and search the output. You can choose the foods and restaurants or drinks and cafes you want.

In general, a website providing information related to such a restaurant or a cafe is a professional website in which the restaurant or cafe establishes its own homepage or collects information of a plurality of restaurants or cafes.

The professional website that collects and provides information of a plurality of restaurants or cafes collects the information of a plurality of restaurants or cafes and builds them into a database, and provides information on the restaurants or cafes built in the database to a user accessing the web server. To provide. For more advanced websites, you can enter the food or drink you want in the search box to provide the corresponding restaurant or cafe information, and if you enter a local name or a business name or price range, the corresponding information is displayed. The user can conveniently find a food and restaurant or a drink and a cafe that he / she wants.

In the construction of such an advanced website, a database for each menu is constructed by inputting data suitable for a regional data input field, a price data input field, and a business name data input field according to each menu in a database table. When a search for a desired food or drink is requested, the search engine searches the database and if there is data corresponding to the search, calls the data and transmits the data to a user's computer for display on a web browser.

With the recent development of mobile communication, such services are also provided through mobile communication terminals, and mobile communication terminals generally include mobile phones and PDAs. The mobile communication terminal may access a mobile communication server and select a desired food and restaurant or a drink and a cafe through a service provided by the mobile communication server.

As described above, the service of providing food and restaurant or beverage and cafe information to the Internet user has a limit in recommending the most suitable food and restaurant or beverage and cafe for the user, and through a scientific approach, the most suitable food or There is a problem that can not recommend drinks.

Therefore, the technical problem to be achieved by the present invention, based on the user's food or beverage preferences, biorhythms, weather, location information to provide the food or drink most suitable for the user according to the preferences, biorhythms, weather and the result of the synthesis To provide a customized menu optimization system and method using the user menu information.

1 is a schematic diagram of a customized menu optimization system using user menu information according to the present invention;

Figure 2 is a detailed block diagram of the menu recommendation server according to a first embodiment of the present invention

Figure 3 is a detailed block diagram of the menu recommendation server according to a second embodiment of the present invention

4 is an exemplary view of a user information input web page screen according to the first embodiment of the present invention.

5 is an exemplary view of a user information input web page screen according to a second embodiment of the present invention.

6 is an exemplary view of a recommended menu output screen according to the first embodiment of the present invention.

7 is an exemplary view of a recommended menu output screen according to a second embodiment of the present invention.

8 is a flowchart of a customized food optimization method using user food information according to the first embodiment of the present invention.

9 is a flowchart of a customized beverage optimization method using user beverage information according to a second embodiment of the present invention.

The customized menu optimization system using user menu information for achieving the technical problem is related to a system for recommending a menu by receiving information including a menu style preferred by a user through the Internet. A terminal device for inputting information to be included through the Internet; Data transmission and reception means for receiving information input using the terminal device and extracting data including an address or GPS coordinates for menu and restaurant recommendation, a menu preference weight, a date of birth, and a price; A plurality of databases storing information including address, weather, location, biorhythm, price, food for calculating weights; A plurality of weight calculation modules for calculating weights from the data including the address or GPS coordinates extracted from the data transmission and reception means, menu preference weights, date of birth, price, and the plurality of databases; And a menu suitability calculation module for recommending a menu most suitable for a user by using the menu preference weights extracted by the data transmission and reception means and the weight values extracted from the plurality of weight calculation modules.

In the present invention, the data transmission and reception means, the server connection unit for allowing a user to connect through the Internet using a terminal device; And transmitting a user input interface page to each terminal device in response to the user's access and receiving a user input thereof, wherein the address or GPS coordinates, date of birth, and price included in the input information are selected by the plurality of weight calculation modules. The weight is a data input / output control unit which transmits to the menu suitability calculation module and transmits the result of the recommended menu information to each terminal device.

In an embodiment of the present invention, the plurality of databases may include: an address database storing a database table of addresses and GPS coordinates of a region in which a service provided by a menu recommendation server may be provided; A weather weighting database that stores a database table that gives different weights of menu attributes according to the weather; A location weighting database storing a database table for differently assigning weights to distances between the user's location and a restaurant according to traffic volume; A biorhythm weighting database that stores a database table for assigning different weights of menu attributes according to biorhythms; A price weight database for storing a database table for differently assigning weights according to a difference between a price input by a user and a price stored in a menu database; And a menu database that stores information about each menu provided by the menu recommendation server as a database table.

In the present invention, the plurality of weight calculation modules search for an address matched by searching the address output from the data input / output controller to find a corresponding address, and then obtain a corresponding GPS coordinate value, and the user inputs the GPS coordinate value. Position calculation module for outputting the GPS coordinate value as it is; A location weather weighting calculation module for calculating a weight for a weather from a weather weighting database from a GPS coordinate value of a location output from the location calculating module; A position weight calculation module for calculating a weight for a distance from a GPS coordinate value of a position output from the position calculation module to a restaurant from a position weight database; A biorhythm weighting module for calculating a biorhythm according to the date of birth input by the user and calculating a weight according to the biorhythm from the biorhythm data ace; And a price weight calculation module for comparing the difference between the price input by the user and the price stored in the menu database to calculate a weight according to the difference of the price from the price weight database.

In the present invention, the terminal for inputting information by the user is any one of a computer, a mobile communication terminal, and a PDA.

In the present invention, the menu suitability calculation module uses the weights calculated through the position weather weighting module, the position weighting module, the biorhythm weighting module and the price weighting module and the menu preference weight inputted from the data input / output control unit. It is recommended that the menu best suited to the user according to the weather, biorhythms, menu preferences, and general preferences.

In the present invention, the recommendation of the menu according to the weather is obtained by multiplying the weight value calculated from the location weather weighting calculation module with each attribute value of each menu of the menu database, adding the result, and again multiplying the location weight value and the price weight. It is characterized by recommending a menu having the highest result value among the score values.

In the present invention, the recommendation of the menu according to the biorhythm, the weight calculated from the biorhythm weight calculation module is multiplied by each attribute value of each menu of the menu database, the result is added, and again by multiplying the position weight and price weight It is characterized by recommending a menu having the highest result value among the scores.

In the present invention, the recommendation of the menu according to the menu preference, the weight value output from the data input and output control unit, each attribute value of each menu of the menu database equation The result is obtained by using and the menu having the highest result value among the score values obtained by multiplying the position weight value and the price weight is characterized in that it is recommended.

In the present invention, the recommendation of the menu according to the comprehensive evaluation is characterized by recommending a menu having the highest value among the result values output from the weather, biorhythm, and menu preference.

Meanwhile, a method of optimizing a customized menu using user menu information for achieving the technical problem is related to a method of recommending a menu by receiving information including a menu style preferred by a user through the Internet, wherein (a) Attempting to access a menu recommendation server recommending a desired menu and restaurant using the Internet terminal device; (b) allowing the menu recommendation server to allow the user to access and receive data including an address or GPS coordinates, a menu preference weight, a date of birth, and a price inputted to the user through a web page; (c) the data input / output control unit of the menu recommendation server determining whether an address or a GPS coordinate is input from the received data; (d) If the address is input according to the determined result, the position calculation module converts the address from the address database to the GPS coordinate, proceeds to step (e), and (e) if the GPS coordinate is input according to the determined result, the location weather The weight calculation module calculates a weight of a menu attribute according to the current weather from the GPS coordinates from a database table of a weather weighting database and transmits the weight to a menu suitability calculation module; (f) According to the determination result, if the GPS coordinates are input, the biorhythm weight calculation module calculates the biorhythm score based on the date of birth output from the data input / output controller, and calculates the weight of the menu attribute according to the biorhythm. Calculating from the database table of the table and transmitting to the food suitability calculation module; (g) The menu suitability calculation module performs a predetermined operation on the attributes of each menu stored in the menu database for the weather, biorhythm, and menu preference weights received in steps (e), (f), and (b). Calculating menu scores for weather, biorhythms, and menu preferences for each menu item; (h) The menu suitability calculation module calculates the price of each menu obtained from the database table of the price weight database by using the difference between the user input price received from the data input / output control unit and the price for each menu read from the menu database. Multiplying the weight by a weather menu score, a biorhythm menu score, and a menu preference menu score for each menu; (i) The menu suitability calculation module calculates the distance between the current location and the restaurant by using the GPS coordinates received by the location weighting module from the location calculation module and the GPS coordinates of the restaurants that provide each menu in the menu database. Multiplying the location weight of each menu with respect to the current location by referring to the database table of the database by the weather menu score, the biorhythm menu score, and the menu preference menu score of each menu reflecting the price weighting value; (j) The menu suitability calculation module compares the score of each menu in each category in the weather menu score, biorhythm menu score, and menu preference menu score of each menu to which price weight and location weight are assigned, and corresponds to the highest score. Selecting a recommendation menu according to the weather, biorhythm, and food preference; (k) The menu suitability calculation module selects a comprehensive recommendation menu corresponding to the highest score by comprehensively comparing weather menu scores, biorhythm menu scores, and menu preference menu scores of each menu to which price and location weights are assigned. ; And (l) the menu suitability calculation module transmitting the data including the recommended menu to the terminal device to which the user is connected as a web page through the data input / output control unit.

In the present invention, step (g), (g-1) the menu suitability calculation module multiplies the weights according to the received menu attributes by the attributes of each menu stored in the menu database and adds the results to the weather menu for each menu. Calculating a score; (g-2) the menu suitability calculation module calculating the biorhythm menu score for each menu by multiplying the weights according to the received menu attributes by the attributes of each menu stored in the menu database and adding the results; And (g-3) the menu suitability calculation module receives a menu preference weight inputted by the user from the data input / output control unit, and calculates the equation in the attribute of each menu stored in the menu database. Computing the menu preference degree for each menu using the menu score; characterized in that it comprises a.

In the present invention, the data including the menu recommended in the step (l), the menu recommendation calculation module reads from the menu database, the comprehensive recommendation menu, the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the menu preference Characterized in that the detailed information on the recommended menu according.

In the present invention, the menu is characterized in that the food or drink.

In the present invention, the menu preferences are food preferences or beverage preferences.

In the present invention, the menu preference weight is characterized in that the food preference weight or beverage preference weight.

In the present invention, the menu suitability calculation module is characterized in that the food suitability calculation module or beverage suitability calculation module.

In the present invention, the menu database is characterized in that the food database or beverage database.

Hereinafter, the present invention will be described in detail with reference to examples, and detailed description will be made with reference to the accompanying drawings to help understand the present invention. However, embodiments according to the present invention can be modified in many different forms, and the scope of the present invention should not be construed as being limited to the embodiments described below. It is provided to more clearly and easily describe the present invention to those skilled in the art. In the drawings like reference numerals refer to like elements.

1 is a schematic diagram of a customized menu optimization system using user menu information according to the present invention.

Referring to FIG. 1, a menu optimization system using user menu information according to the present invention will be described in brief. The computer 5 may receive a food and restaurant or beverage and cafe information most suitable for the user through the Internet; A mobile terminal 10 through which a user wirelessly receives a food and restaurant or beverage and cafe information most suitable for him through the Internet through a base station 15 and a wireless application protocol (WAP) G / W (Gateway) server 20. )Wow; PDA (Personal Digital Assistants) receiving the most suitable food and restaurant or beverage and cafe information through the base station 15 and the WAP G / W server 20 if the user is wireless, and through the wired general Internet network if wired And 25; Based on the information input by the user connected via the computer 5, the mobile communication terminal 10, and the PDA 25, the food, restaurant, beverage, and cafe information most suitable to the user is preferred, biorhythm, weather, and synthesis. It includes a menu recommendation server 30 to recommend and provide according to the preference.

The detailed configuration of the menu recommendation server will be described below with reference to FIG. 2.

The embodiment of the present invention is divided into two descriptions, but the first embodiment provides food and restaurant information, and the second embodiment provides beverage and cafe information.

2 is a detailed block diagram of a menu recommendation server according to a first embodiment of the present invention.

Referring to Figure 2 describes a menu recommendation server according to a first embodiment of the present invention, the user to receive the desired food and restaurant information service from the menu recommendation server 30, the computer 5, the mobile communication terminal (10) a server connection unit 35 for allowing connection via the Internet using a PDA 25; In accordance with the connection of the user's computer 5, the mobile communication terminal 10, and the PDA 25, the user input interface page is transmitted according to the type of each connection terminal device, and each calculation module described below is received by receiving the user input thereof. A data input / output control unit 40 which separates and transmits the address or GPS coordinates, food preference weight, date of birth, and price, and transmits data about recommended food and restaurant information calculated in each module to each terminal device; The user inputs the GPS coordinate values by searching the address inputted by the data input / output controller 40 in the address DB 70 to find a matching address, and then calculates a corresponding GPS (Global Positioning System) coordinate value. A position calculation module 45 for outputting a GPS coordinate value as it is; An address DB (70) for storing a database table of addresses and GPS coordinates of a region that can be provided with a service provided by the menu recommendation server 30; The weather information is collected from the GPS coordinates of the position output from the position calculation module 45 through the Internet or other means, and the food preference weight (weather weight) according to the weather is collected from the collected weather information from the weather weighting DB 75a. A position weather weighting calculation module 60 for calculating; A weather weighting DB 75a that stores a database table that gives different weights of food attributes according to the weather; A position weight calculation module 65 for calculating a weight from the position weighting DB 80 according to the distance from the GPS coordinate value of the position output from the position calculating module 45 to each restaurant; A location weighting DB (80) for storing a database table for differently weighting distances between a user's location and a restaurant according to a congested area and a secluded area; A biorhythm weight calculation module 50 for calculating a biorhythm according to the date of birth input by the user and calculating a food preference weight (biorhythm weight) according to the biorhythm from the biorhythm weighting DB 85; A biorhythm weighting DB 85a that stores a database table that gives different weights of food attributes according to the biorhythm; A price weight calculation module 55 for comparing the difference between the price input by the user and the price stored in the food DB 95a and calculating the weight according to the difference of the price from the price weight value DB 90; A price weight DB (90) for storing a database table for differently assigning weights according to the difference between the price input by the user and the price of each food stored in the food DB 95a; A food DB 95a which stores information about all the foods and information on the attributes of the food provided by the menu recommendation server 30 as a database table; The weight preference calculated by the position weather weight calculation module 60, the position weight calculation module 65, the biorhythm weight calculation module 50, and the price weight calculation module 55, and the food preferences transmitted from the data input / output control unit 40. The food suitability calculation module 100a recommends a food and a restaurant most suitable for the user based on the weight based on biorhythm, weather, food preference, and general preference.

3 is a detailed block diagram of a menu recommendation server according to a second embodiment of the present invention.

Referring to Figure 3 describes a menu recommendation server according to a second embodiment of the present invention, the user is provided with a computer 5, the mobile communication terminal to receive the desired beverage and cafe information service from the menu recommendation server 30 (10) a server connection unit 35 for allowing connection via the Internet using a PDA 25; In accordance with the connection of the user's computer 5, the mobile communication terminal 10, and the PDA 25, the user input interface page is transmitted according to the type of each connection terminal device, and each calculation module described below is received by receiving the user input thereof. A data input / output control unit 40 which separates and transmits the address or GPS coordinates, food preference weight, date of birth, and price, and transmits data on recommended drinks and cafe information calculated in each module to each terminal device; The user inputs the GPS coordinate values by searching the address inputted by the data input / output controller 40 in the address DB 70 to find a matching address, and then calculates a corresponding GPS (Global Positioning System) coordinate value. A position calculation module 45 for outputting a GPS coordinate value as it is; An address DB (70) for storing a database table of addresses and GPS coordinates of a region that can be provided with a service provided by the menu recommendation server 30; Collect weather information from the GPS coordinates of the position output from the position calculation module 45 through the Internet or other means, and from the collected weather information drink preference weight (weather weight) according to the weather from the weather weighting DB 75 A position weather weighting calculation module 60 for calculating; A weather weighting DB 75b that stores a database table that gives different weights of beverage attributes according to the weather; A position weight calculation module 65 for calculating a weight from the position weighting DB 80 according to the distance from the GPS coordinate value of the position output from the position calculating module 45 to each cafe; A location weighting DB (80) for storing database tables for differently weighting the user's location and distances to cafes according to congested and secluded areas; A biorhythm weight calculation module 50 that calculates a biorhythm according to the date of birth input by the user and calculates a food preference weight (biorhythm weight) according to the biorhythm from the biorhythm weighting DB 85b; A biorhythm weighting DB 85b for storing a database table that gives different weights of beverage attributes according to the biorhythm; A price weight calculation module 55 for comparing the difference between the price input by the user and the price stored in the beverage DB 95b and calculating the weight value according to the difference from the price weight value DB 90; A price weight DB (90) for storing a database table for differently assigning weights according to the difference between the price input by the user and the price of each beverage stored in the beverage DB 95b; A food DB 95b for storing information about all the drinks and information on the attributes of the drinks provided by the menu recommendation server 30 as a database table; The weight preference calculated by the position weather weight calculation module 60, the position weight calculation module 65, the biorhythm weight calculation module 50 and the price weight calculation module 55, and the food preferences transmitted from the data input / output control unit 40. The beverage suitability calculation module 100b recommends a drink and a cafe most suitable for the user based on the weight based on biorhythm, weather, beverage preference, and general preference.

The Internet protocol supported by the data input and output control unit 40 is HTML (Hyper Transport Modeling Language), HDML (Handheld Devices Markup Language), WML (Wireless Markup Language), WAP (Wireless Application Protocol), cHTML (compact HTML), etc. It also supports other Internet protocols.

The operation of the customized menu optimization system using the user menu information according to the present invention having the above configuration will be described with reference to FIGS. 1 to 7.

First, referring to FIG. 1, FIG. 2, FIG. 4, and FIG. 6, the first embodiment will be described. In the first embodiment, a user owns a terminal device to receive food and restaurant information suitable for him. That is, the computer 5, the mobile communication terminal 10, and the PDA 25 attempts to connect to the menu recommendation server 30 through the Internet. If you are using a computer, try to access the server connection unit 35 through the Internet, and if you are using the mobile communication terminal 10, the WAP protocol in the WAP G / W server 20 through the base station 15 is HTTP (Hypertext) Attempts to connect to the server connection unit 35 through the Internet, and if the PDA 25 is used, the connection to the server connection unit 35 is performed in the same manner as the computer 5 if the PDA 25 is connected. Attempts to connect to the wireless Internet in the same manner as the mobile communication terminal (10).

When the user attempts to connect in the above manner, the server connection unit 35 of the menu recommendation server 30 allows the user to access the data input and output control unit 40, the user's address, GPS coordinates and food preference weights The web page for inputting the included information is transmitted to the user computer 5, the mobile communication terminal 10, and the PDA 25 through the Internet.

4 is an exemplary view of a user information input web page screen according to the first embodiment of the present invention.

Referring to FIG. 4, when the user receives the transmitted web page to the computer 5, the mobile communication terminal 10, and the PDA 25, the screen shown in FIG. 4 is displayed on the display window. On the screen displayed as shown in FIG. 4, a user inputs information into each data field using a key input device of each terminal device. That is, in the address column, the address where the user is currently located is input, and in the GPS coordinate column, the coordinate value output from the GPS device when the user has a GPS device (not shown), for example, latitude N120: 30: 10, longitude E120: 30 : Enter 10 coordinates. In the case where the GPS device is provided, only a coordinate value is input without inputting an address. For the date of birth, enter the date of birth of the user for the biorhythm measurement, the price for the desired price range for the food, and for the food preference weights, the attributes include temperature, broth, spicyness, sweetness, freshness, saltiness, freshness, meat, Based on the value between 1 and 100 in the case of seafood, it is classified as a healthy food, if the maximum temperature is 100, the maximum is 1, the maximum is 1, the soup is 100, the maximum is 1, the maximum is 1 If the sputter is at maximum 100, if there is no spicy, the maximum is 100, if the sweetness is 100, if there is no single, the maximum is 100, the maximum is 100, if the freshness is 1, the maximum is salty. 100 for squeezing, 1 for freshness, 100 for freshness, 1 for freshness, 1 for meat, 100 for meat, 1 for seafood, 1 for seafood If the amount is large, 100, comprising up to enter the first. In the above, the input value of the food preference weight is 1 to 9, 1 to 10 to 19, 10 to 10, ......, 90 to 99, 90 to 100 and 100 as it is.

As described above, the user inputs each input value in the data field of the web page and transmits the input value to the server connection unit 35 of the menu recommendation server 30 by using a predetermined key.

The server connection unit 35 receives the data transmitted from the user and applies the data to the data input / output controller 40, and the data input / output controller 40 sends the address or GPS coordinate data from the received data to the position calculation module 45. The preference weight is transmitted to the food suitability calculation module 100a, the date of birth to the biorhythm weighting module 50, and the price to the price weighting calculation module 55.

First, when the position calculation module 45 receiving an address or GPS coordinate value obtains a location and calculates a weight for the weather and a menu score according to the weather from the location, the data input / output controller 40 The position calculation module 45 which receives the GPS coordinate value converts the current position of the user into the GPS coordinate value, and when the address is input, the position weather weighting value of the GPS coordinate value of the input address is searched by searching the address DB 70. It outputs to the calculation module 60 and the position weight calculation module 65, and if GPS coordinate values are input, the GPS coordinate values are transmitted to the position weather weight calculation module 60 and the position weight calculation module 65 as they are. The structure of the database table of the address DB 70 will be described with reference to Table 1 above.

Table 1 shows the structure of database table of address DB.

Record field names type Explanation address String address GPS coordinates String GPS coordinates of latitude and longitude

As shown in Table 1, the address DB 70 stores data of addresses and GPS coordinates of all regions providing a service according to the present invention. The location calculation module 45 compares each other in the address or GPS coordinates input by the user, and finds and outputs a matching value.

The position weather weighting calculation module 60 receiving the GPS coordinate value output from the position calculating module 45 calculates the weight of the weather for the current position from the GPS coordinate value indicating the current position of the user. To find it. The weather weight value DB 75a will be described with reference to Table 2 as follows.

Table 2 is a database table structure diagram of the weather weighting DB according to the first embodiment of the present invention.

Table item type Explanation Area Start GPS Coordinates String Starting GPS coordinates of the area to apply the current weather weights Area end GPS coordinate value String GPS coordinates of the end of the region to apply the current weather weights Food temperature essence 100 is the number from 1 to 100, the hottest food, weighted according to the weather Food broth essence If the number from 1 to 100 is 100, it means the food with the most soup and the weight according to the weather. Food spicy essence If the number from 1 to 100 is 100, it means the food that is filled up the most. Food sweetness essence If the number from 1 to 100 is 100, it means the maximum sweet food and the weight according to the weather Food essence If the number from 1 to 100 is 100, it means the maximum sour food. Food saltiness essence If the number is from 1 to 100, 100 means the salty food. Food freshness essence If the number from 1 to 100 is 100, it means the freshest food and the weight according to the weather. Food Meat essence If the number is from 1 to 100, the meat means the most food, and the weight according to the weather Food seafood essence If the number from 1 to 100 is 100, seafood means the maximum number of foods. Food Health Benefits essence If the number from 1 to 100 is 100, it means the most healthy food, and the weight according to the weather

Referring to Table 2, in order to apply the current weather weight, the user's location is divided into certain areas, and the starting and ending points of the area are separated by GPS coordinates. That is, when the operator of the menu recommendation server 30 according to the present invention has a GPS coordinate value indicating the user's position between the first value and the end value of the GPS coordinates for indicating a certain area, a weight is assigned to the weather corresponding to the area. Will receive. In addition, the operator inputs a weight item of each regional area every day. In addition, since the weight is different according to the weather where the user is located, the weight has a wrong value for each region where the weather is different.

And, the food fitness calculation module 100a receives the weight from the location weather calculation module 60 and calculates the score of each menu according to the weather. That is, it is obtained by multiplying the attribute values of each food stored in the food DB 95a corresponding to each attribute value of the weather weight value for the user's location and adding the result, and the angle obtained by the location weather weighting calculation module 60. Food temperature, food broth degree, food spicyness, food sweetness, food freshness, food saltiness, food freshness, food meat degree, food seafood degree, food health benefit value and corresponding food DB (95a) stored in Multiply each food attribute value and add the result. The food DB 95a storing the food attribute and restaurant information will be described with reference to Table 3 as follows.

Table 3 is a structural diagram of a database table of the food DB according to the first embodiment of the present invention.

Record field names type Explanation Restaurant ID String ID representing restaurant Restaurant name String Restaurant name Restaurant address String Restaurant address Restaurant GPS Location String GPS coordinates of latitude and longitude Restaurant phone number String Restaurant phone number Restaurant Web Domain Address String restaurant Food name String Food name Food photo links String Food photo links Food temperature essence Food temperature Food broth essence Food broth Food spicy essence Food spicy Food sweetness essence Food sweetness Food essence Food Food saltiness essence Food saltiness Food freshness essence Food freshness Food Meat essence Food content of meat Food seafood essence Content of food seafood Food Health Benefits essence Food Health Benefits Food prices essence Food prices

Referring to the food DB (95a) with reference to Table 3, the food DB (95a) has to build a database of food and restaurant information corresponding to all regions in order to provide a service according to the present invention. In other words, the restaurant's unique ID, restaurant name, restaurant address, restaurant GPS location, restaurant phone number, restaurant web domain address, food name, food photo link, food temperature, broth, spicy, sweet, new, salty, Information such as freshness, meat, seafood, health benefits, price, etc. is built into each restaurant's database.

Expressing a menu score according to the weather with reference to the food DB 95a, the weight for the weather is W1, W2, W3, ..., Wk, respectively, according to the attributes of the food. The attribute values of the food stored in 95a) are Ai1, Ai2, Ai3, ...., Aik. Therefore, the menu score according to the weather is Ai1 * W1 + Ai2 * W2 + ....... + Aik * Wk.

1, 3, 5, and 7 with reference to the second embodiment, in the first embodiment, the user owns the terminal device to receive the drink and cafe information suitable for him That is, the computer 5, the mobile communication terminal 10, and the PDA 25 attempts to connect to the menu recommendation server 30 through the Internet. If you are using a computer, try to access the server connection unit 35 through the Internet, and if you are using the mobile communication terminal 10, the WAP protocol in the WAP G / W server 20 through the base station 15 is HTTP (Hypertext) Attempts to connect to the server connection unit 35 through the Internet, and if the PDA 25 is used, the connection to the server connection unit 35 is performed in the same manner as the computer 5 when the PDA 25 is connected. Attempts to connect to the wireless Internet in the same manner as the mobile communication terminal (10).

When the user attempts to connect in the above manner, the server connection unit 35 of the menu recommendation server 30 allows the user to access the data input and output control unit 40 and the user's address, GPS coordinates and beverage preference weights. The web page for inputting the included information is transmitted to the user computer 5, the mobile communication terminal 10, and the PDA 25 through the Internet.

5 is an exemplary view of a user information input web page screen according to a second embodiment of the present invention.

Referring to FIG. 5, when the user receives the transmitted web page to the computer 5, the mobile communication terminal 10, and the PDA 25, the screen shown in FIG. 5 is displayed on the display window. On the screen displayed as shown in FIG. 5, a user inputs information into each data field using a key input device of each terminal device. That is, in the address field, the address where the user is currently located is input. In the GPS coordinate field, the coordinate value output from the GPS device when the user is equipped with a GPS device (not shown), for example, latitude N120: 30: 10, longitude E120: 30 : Enter 10 coordinates. In the case where the GPS device is provided, only a coordinate value is input without inputting an address. For the date of birth, enter the user's date of birth for the biorhythm measurement, the price for the desired price of the drink, and the preference for the drink preference weights. It is classified as sweetness, alcoholic beverage, bitter taste, and health benefits. Based on the value between 1 and 100 for parking facilities, 100 is the best parking facility, 1 is the worst, and cafe view is the best. 100 for maximum, 1 for maximum, the average age of customers entering and exiting the customer age, and 40 for customers in their 40s, 20 for 20s, 100 for maximum music, 100 for maximum 1, the maximum brightness of the cafe is 100, the maximum is dark 1, the beverage mix is 100 if the maximum amount of ingredients are mixed, 100 if the minimum number of ingredients 1, In the case of beverage sweetness, it is 100 when it is maximum sweetness, it is 1 when it is not sweet, the drink alcohol content is 100 when the drink is high, 1 when the frequency is low, 100 when it is bitter, 100 when it is bitter, 1 when it is not used If it is beneficial, enter 100 for a healthy drink, or 1 if there is no health benefit. In the above, the input value of the beverage preference weight is 1 to 9, 1 to 10 to 19, 10 to 10, ......, 90 to 99, 90 to 100, and 100 as 100 as a representative value.

As described above, the user inputs each input value in the data field of the web page and transmits the input value to the server connection unit 35 of the menu recommendation server 30 by using a predetermined key.

The server connection unit 35 receives the data transmitted from the user and applies the data to the data input / output controller 40, and the data input / output controller 40 sends the address or GPS coordinate data from the received data to the position calculation module 45. The preference weight is transmitted to the beverage suitability calculation module 100b, the date of birth to the biorhythm weighting module 50, and the price to the price weighting calculation module 55.

First, when the position calculation module 45 receiving an address or GPS coordinate value obtains a location and calculates a weight for the weather and a menu score according to the weather from the location, the data input / output controller 40 The position calculation module 45 which receives the GPS coordinate value converts the current position of the user into the GPS coordinate value, and when the address is input, the position weather weighting value of the GPS coordinate value of the input address is searched by searching the address DB 70. It outputs to the calculation module 60 and the position weight calculation module 65, and if GPS coordinate values are input, the GPS coordinate values are transmitted to the position weather weight calculation module 60 and the position weight calculation module 65 as they are. The structure of the database table of the address DB 70 is the same as that of Table 1 of the first embodiment, and the location calculation module 45 compares each other in the address DB 70 with the address or GPS coordinates input by the user. Find and print matching values.

The position weather weighting calculation module 60 receiving the GPS coordinate value output from the position calculating module 45 calculates a weight of the weather for the current position from the GPS coordinate value indicating the current user's position, and the weather weighting DB 75b. To find it. The weather weight value DB 75b will be described with reference to Table 2 as follows.

Table 4 is a database table structure diagram of the weather weighting DB according to the second embodiment of the present invention.

Table item type Explanation Area Start GPS Coordinates String Starting GPS coordinates of the area to apply the current weather weights Area end GPS coordinate value String GPS coordinates of the end of the region to apply the current weather weights Beverage temperature essence If the number is from 1 to 100, the maximum is the hottest beverage, weighted according to the weather Mixing degree of drink essence If the number from 1 to 100 is 100, it means a drink with the maximum variety of ingredients. Drink sweetness essence If the number is from 1 to 100, the maximum means sweetness, and the weight according to the weather Drink alcohol essence If the number from 1 to 100 is 100, it means the beverage with the highest frequency. Drink bitterness essence If the number from 1 to 100 is 100, it means the maximum drink. Drink flavor essence If the number from 1 to 100 is 100, it means the strongest beverage and the weight according to the weather. Drink health benefits essence If the number from 1 to 100 is 100, it means the most healthy drink.

Referring to Table 4, in order to apply the current weather weights, the user's location is divided into certain areas, and the starting and ending points of the area are separated by GPS coordinates. That is, when the operator of the menu recommendation server 30 according to the present invention has a GPS coordinate value indicating the user's position between the first value and the end value of the GPS coordinates for indicating a certain area, a weight is assigned to the weather corresponding to the area. Will receive. In addition, the operator inputs a weight item of each regional area every day. In addition, since the weight is different according to the weather where the user is located, the weight has a wrong value for each region where the weather is different.

In addition, the beverage suitability calculation module 100b receives the weight from the location weather calculation module 60 and calculates a score of each menu according to the weather. That is, it is obtained by multiplying each attribute value of the beverage stored in the beverage DB 95b corresponding to each attribute value of the weather weight value for the user's position and adding the result, and the angle obtained by the position weather weight calculation module 60 After multiplying the beverage temperature, the mixing degree of the beverage, the sweetness of the beverage, the alcohol content, the bitterness of the beverage, the flavor of the beverage, the health benefits of the beverage and the attribute values of the respective beverages stored in the corresponding food DB 95b, Add the result. The beverage DB 95b storing the beverage attribute and cafe information is described with reference to Table 5 as follows.

Table 5 is a structural diagram of a database table of the beverage DB according to a second embodiment of the present invention.

Record field names type Explanation Cafe ID String ID representing a cafe Cafe name String Cafe name Cafe address String Cafe address Cafe GPS Location String GPS coordinates of latitude and longitude Cafe phone number String Cafe phone number Cafe web domain address String Cafe Cafe Parking Facilities essence Cafe Parking Facilities Cafe view essence Cafe view Cafe customer average age essence Cafe customer average age Cafe background music size essence Cafe background music size Cafe interior essence Cafe interior brightness Drink name String Drink name Drink Photo Link String Drink Photo Link Beverage temperature essence Beverage temperature Drink mix essence Drink mix Drink sweetness essence Drink sweetness Drink alcohol essence The level of alcohol content Drink bitterness essence Drink bitterness Drink flavor essence Drink flavor Health benefits of drink essence Health Benefits of Drinks Drink prices essence Price of drinks

Referring to the beverage DB (95b) with reference to Table 5, the beverage DB (95b), the user must build a cafe and beverage information corresponding to all regions in the database to provide a service according to the present invention. In other words, cafe ID, cafe name, cafe address, cafe GPS location, cafe phone number, cafe web domain address, cafe parking facility, cafe view, average age of cafe customers, cafe background music size, cafe interior brightness, drink name Databases such as drink photo links, beverage temperature, beverage mix, beverage sweetness, beverage alcohol content, beverage bitterness, beverage flavor, beverage health benefits, beverage prices, etc. are established for each cafe.

Expressing the menu score according to the weather with reference to the beverage DB (95b) by the formula, the weight for the weather is W1, W2, W3, ..., Wk, respectively, according to the attribute of the beverage, beverage DB ( The beverage attribute values stored in 95b) are Ai1, Ai2, Ai3, ..., Aik. Therefore, the menu score according to the weather is Ai1 * W1 + Ai2 * W2 + ....... + Aik * Wk.

Second, when the biorhythm weight calculation module 50 receiving the date of birth calculates the menu score according to the weight and biorhythm from the biorhythm, the first embodiment will be described. The biorhythm weight calculation module 50 is a user. The biorhythm is calculated from the date of birth input and the weight is calculated using the biorhythm. The weight of the beverage preference according to the biorhythm index value of the user is obtained by searching the biorhythm weighting DB 85a. Referring to Table 6 with reference to the biorhythm weights DB (85a),

Table 6 is a structural diagram of a database table of the biorhythm weighting DB according to the first embodiment of the present invention.

Table item type Explanation Biorhythm Area Start Value String Starting value of region for applying biorhythm weights Biorhythm Area End Value String End value of region for applying biorhythm weights Food temperature essence Weights based on numeric biorhythms from 1 to 100 Food broth essence Weights based on numeric biorhythms from 1 to 100 Food spicy essence Weights based on numeric biorhythms from 1 to 100 Food sweetness essence Weights based on numeric biorhythms from 1 to 100 Food essence Weights based on numeric biorhythms from 1 to 100 Food saltiness essence Weights based on numeric biorhythms from 1 to 100 Food freshness essence Weights based on numeric biorhythms from 1 to 100 Food Meat essence Weights based on numeric biorhythms from 1 to 100 Food seafood essence Weights based on numeric biorhythms from 1 to 100 Food Health Benefits essence Weights based on numeric biorhythms from 1 to 100

Referring to Table 6, the biorhythm weighting DB 85b divides the maximum value and the minimum value of the biorhythm into a predetermined interval to distinguish the start value and the end value of the biorhythm. In addition, the operator inputs the weight of the property of the food in advance between intervals corresponding to the start value and the end value of the biorhythm. The biorhythm has a sensitivity index, an intelligence index, and a body index, but a general biorhythm index related to food preference uses a sensitivity index.

Then, the food suitability calculation module 100a which has received the biorhythm weight from the biorhythm weight calculation module 50 calculates the score of each menu according to the biorhythm. That is, it is obtained by multiplying each attribute value of each food stored in the food DB 95a corresponding to each attribute value of the biorhythm weight value for the received user's birthday and adding the result, and each food temperature obtained from the biorhythm weight. , Food broth, food spicy, food sweetness, food freshness, food saltiness, food freshness, food meat, food seafood, food health benefits and corresponding foods stored in the corresponding beverage DB (95a) This is obtained by multiplying the property values of and then adding the result.

Expressing the menu score for the weather with reference to the food DB 95a shown in Table 3, the biorhythm weights are B1, B2, B3, ... Attribute values of the food stored in the DB 95a are Ai1, Ai2, Ai3, ..., Aik. Therefore, the menu score according to biorhythm is Ai1 * B1 + Ai2 * B2 + ....... + Aik * Bk. Since the attribute values Ai1, Ai2, Ai3,..., Aik of the foods stored in the food DB 95a exist as many as the number of foods stored in the food DB 95a, the menu score according to the biorhythm is calculated for each food. There are as many as there are.

In addition, with reference to the second embodiment, the biorhythm weight calculation module 50 calculates the biorhythm from the date of birth input by the user and obtains a weight using the same, and thus the weight of the food preference according to the biorhythm index value of the user. Is obtained by searching the biorhythm weighting DB 85b. Referring to Table 7 with reference to the biorhythm weights DB (85b),

Table 7 is a structural diagram of a database table of the biorhythm weighting DB according to the second embodiment of the present invention.

Table item type Explanation Biorhythm Area Start Value String Starting value of region for applying biorhythm weights Biorhythm Area End Value String End value of region for applying biorhythm weights Beverage temperature essence Weights based on numeric biorhythms from 1 to 100 Mixing degree of drink essence Weights based on numeric biorhythms from 1 to 100 Drink sweetness essence Weights based on numeric biorhythms from 1 to 100 Drink alcohol essence Weights based on numeric biorhythms from 1 to 100 Drink bitterness essence Weights based on numeric biorhythms from 1 to 100 Drink flavor essence Weights based on numeric biorhythms from 1 to 100 Health benefits of drink essence Weights based on numeric biorhythms from 1 to 100

Referring to Table 7, the biorhythm weight calculation module 50 receives the biorhythm weight from the food fitness calculation module 100b and calculates the score of each menu according to the biorhythm. That is, it is obtained by multiplying each attribute value of each food stored in the beverage DB 95b corresponding to each attribute value of the biorhythm weight value for the received user's birthday and adding the result, and the respective beverage temperatures obtained from the biorhythm weights. , Beverage broth, beverage spicy, beverage sweetness, beverage freshness, beverage saltiness, beverage freshness, beverage meat, beverage seafood, beverage health benefits and the corresponding beverages stored in the beverage DB 95b. This is obtained by multiplying the property values of and then adding the result.

Expressing the menu score for the weather with reference to the beverage DB 95b shown in Table 5, the biorhythm weights are B1, B2, B3, ...., Bk, respectively, according to the properties of the beverage. Each beverage attribute value stored in the DB 95b is Ai1, Ai2, Ai3, ..., Aik. Therefore, the menu score according to biorhythm is Ai1 * B1 + Ai2 * B2 + ....... + Aik * Bk. Since the attribute values Ai1, Ai2, Ai3,..., Aik of the beverages stored in the beverage DB 95b exist as many as the number of beverages stored in the beverage DB 95b, the menu score according to the biorhythm is determined by each beverage. There are as many as there are.

Third, in the process of obtaining a menu score according to the food preference according to the first embodiment, the food fitness calculation module 100a receives the food preference weights from the data input / output controller 40 to first calculate the score of each food for the food preference. Calculate In other words, by calculating the attribute value of each food stored in the food DB (95a) corresponding to each attribute value of the weight of the food preference entered by the user, each food temperature, the degree of food soup, the food map , Food sweetness, food freshness, food saltiness, food freshness, food meat degree, food seafood degree, food health benefit level and the corresponding attribute values of each food stored in the food DB 95a as follows. Obtain by operation

The weights for the food preferences are U1, U2, U3, ...., Uk, respectively, according to the properties of the food, and the attribute values of the food stored in the food DB 95a are Ai1, Ai2, Ai3, ...., Aik to be. Therefore, the menu score according to food preference is obtained by the following equation.

The meaning of Equation 1 is to multiply twice to obtain a positive number after obtaining the difference, the smaller the difference between the attribute value of the food preference and the attribute value of the food stored in the food DB (95a), the higher the menu score, so that the maximum value At 100 * 100, square the squared (the attribute value of the food stored in the food DB 95a-the food attribute value of the food preference), and then take the square root to be in the same range as the score.

When the menu score according to the weather, the menu score according to the biorhythm, and the food score according to the food preference are calculated for each food as described above, the food fitness calculation module 100a calculates and multiplies the weight for the price. That is, the price weight obtained from the price input by the user is obtained by multiplying the menu score according to the weather of each food, the menu score according to the biorhythm, and the menu score according to the food preference.

When the price weight calculation module 55, which has received the price data transmitted from the data input / output control unit 40, describes the process of obtaining the price weight value, the price weight calculation is performed using the food DB 95a of Table 3. The module 55 compares the price input by the user with the price of the food in the food DB 95a and searches the price weighting DB 90 that is weighted according to each price difference to obtain a weight.

Referring to Table 5 with respect to the price weight DB (90) above,

Table 8 is a structural diagram of a database table of the price weight DB 90 according to the present invention.

Table item type Explanation -5000 won or less essence Weight when price difference is less than -5000 won Weight between -5000 and -3000 won essence Weight when price difference is between -5000 won and -3000 won Weighted between -3000 won and -1000 won essence Weight when price difference is between -3000 won and -1000 won Weight between -1000 won and 0 won essence Weight when price difference is between -1000 and 0 won Weight between $ 0 and $ 1000 essence Weight if price difference is between $ 0 and $ 1000 Weight between $ 1 and $ 1 essence Weight when price difference is between $ 1 and $ 3 Weights between $ 3 and $ 10 essence Weight when price difference is between $ 3 and $ 100 Weight between $ 10 and $ 50 essence Weight when price difference is between $ 100 and $ 500 More than $ 50 essence Weight when price difference is more than 50000 won

Referring to Table 8, the weight is calculated by calculating the difference between the price entered by the user and the price stored in the food DB 95a of Table 3, and if the price is similar, the weight is given a higher value and the price is different. If much is given, give a low weight. The difference in price is defined as the food price of the food DB 95a minus the price entered by the user. The weight value is a value preset by the operator.

When the menu score according to the weather, the menu score according to the bio rhythm, the food score according to the food preference is calculated for each food by the above process, the food suitability calculation module 100a obtains the weight for the location. Multiply. That is, the position weight obtained by the distance from the user input to the restaurant is obtained by multiplying the menu score according to the weather, the menu score according to the biorhythm, and the menu score according to the food preference of each food reflecting the price weight value. .

In the above description, the position weight calculation module 65 obtains the position weight from the GPS coordinate values received from the position calculation module 45. The position weight calculation module 65 is transmitted from the position calculation module 45. The GPS coordinates are received and the distance between the user and the restaurant is obtained from the GPS coordinates of the restaurant serving each food in the food DB 95a. The position weighting calculation module 65 searches the position weighting DB 80 that stores the weighted value of the distance difference of the position with the obtained distance to obtain a weighting value for the current position. Location weighting is a weight that is given differently depending on the time it takes to get to the restaurant even if the distance to the restaurant is the same, depending on the area with heavy traffic and the busy area.

The position weight DB 80 will be described with reference to Table 9 as follows.

Table 9 is a structural diagram of a database table of the position weight DB according to the present invention.

Table item type Explanation Area Start GPS Coordinate Value String Starting GPS coordinates of the region to apply the current position weights Area coordinate GPS coordinate value String GPS coordinates of the end of the region to apply the current position weights Distance 1 to 20 meters essence Weight if your location is within 1 to 20 meters of the restaurant 21 to 50 meters weighted distance essence Weight if your location is within 21 to 50 meters between restaurants Distance 51-100 meters essence Weights when the distance between the user's location and the restaurant is within 51 to 100 meters Distance 101-200 meters weighted essence Weights if the distance between the user's location and the restaurant is within 101 to 200 meters Distance 201-1 kilometers weighted essence Weight if your location is within 201 kilometers of the restaurant Distance 1 kilometer to 10 kilometers essence Weights when the distance between the user's location and the restaurant is within 1 to 10 kilometers Distance from 10 kilometers to 100 kilometers essence Weights if the distance between the user's location and the restaurant is within 10 to 100 kilometers

Referring to Table 9, in order to give different weights for each distance from the user's current location to the restaurant, the user's location is divided into certain areas, and the starting and ending points of the area are separated by GPS coordinates. That is, when the menu recommendation server 30 operator according to the present invention has a GPS coordinate value indicating the user's position between the first value and the end value of the GPS coordinates for indicating a certain area, the operator assigns a weight to the location corresponding to the area. Will receive. The operator inputs the weight according to the distance from the user's location to the restaurant according to each item of each area. In addition, since the weighting time is different depending on the traffic volume of the location where the user is located, the weighting value has a small value in a high traffic area and a large value in a low traffic area.

With all the above processes, the food suitability calculation module 100a that calculates the menu scores according to the weather, the menu scores according to the biorhythms, and the food preferences, reflecting the price weights and the location weights, calculates the foods for each field. Compared to each other, the food with the highest score is selected as the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the food preference, and the comprehensive recommendation menu is selected by comparing the foods in all fields as a whole. The food suitability calculation module 100a reads the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, and the comprehensive recommendation menu from the food DB 95a according to the comparison result. It outputs the restaurant information, such as the restaurant name, address, telephone number, website of the food to the data input and output control unit 40.

The data input / output control unit 40 displays the food and restaurant information about the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, and the comprehensive recommendation menu output from the food fitness calculation module 100a. Send to the user's terminal device through the Internet.

If the user terminal device is a computer 5 and a PDA 25 connected by wire, the WAP G / W server 20 and the mobile communication terminal 10 and the PDA 25 wirelessly connected through the wired Internet network. Receive restaurant information on the recommended menu through the wireless Internet network passing through the base station 15 is displayed in the form shown in FIG.

In addition, in the process of obtaining a menu score according to the beverage preference according to the second embodiment, the beverage suitability calculation module 100b receives the beverage preference weight from the data input / output controller 40 and first calculates the score of each menu for the beverage preference. Calculate That is, by calculating the attribute value of each beverage stored in the beverage DB (95b) corresponding to each attribute value of the weight of the beverage preference entered by the user, each parking facility, cafe view, customer age, Background music, store brightness, beverage mix, beverage sweetness, alcohol content, beverage bitterness, health benefits, and the corresponding beverage attribute values stored in the corresponding beverage DB 95b are calculated as follows. Obtain as

The weights for beverage preferences are U1, U2, U3, ..., Uk, respectively, according to the attributes of the beverages, and the beverage attribute values stored in the beverage DB 95b are Ai1, Ai2, Ai3, ..., Aik. . Therefore, the menu score according to the beverage preference is obtained by Equation 1 described in the first embodiment.

When the menu score according to the weather, the menu score according to the biorhythm, and the menu score according to the food preference are calculated for each beverage by the above process, the food suitability calculation module 100b calculates the weight for the price based on the first embodiment. Calculate in the same way as and multiply each menu score.

When the price weight calculation module 55, which has received the price data transmitted from the data input / output control unit 40, describes the process of obtaining the price weight value, the price weight calculation is performed using the beverage DB 95b of Table 5. The module 55 compares the price input by the user with the price of the beverage in the beverage DB 95b and retrieves a weight by searching the price weight DB 90 shown in Table 8 given a weight according to each price difference.

When the menu score according to the weather, the menu score according to the biorhythm, and the food score according to the food preference are calculated for each beverage by the above process, the food suitability calculation module 100b calculates the weight for the position. Obtained in the same manner as in the first embodiment, each menu score is multiplied.

In the above description, the position weight calculation module 65 obtains the position weight from the GPS coordinate values received from the position calculation module 45. The position weight calculation module 65 is transmitted from the position calculation module 45. The GPS coordinates are received and the distance between the user and the restaurant is obtained from the GPS coordinates of the restaurant serving each food in the beverage DB 95b. The position weighting calculation module 65 searches the position weighting DB 80 shown in Table 9, which stores the weighting values of the distance differences of the positions with the obtained distances, and obtains the weighting values for the current positions.

With all the above processes, the food suitability calculation module 100b that calculates the menu scores according to the weather, the menu scores according to the biorhythms, and the food preferences, reflecting the price weights and the location weights, calculates the beverages for each field. Compared to each other, the beverages with the highest scores are selected as the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the food preference, and the comprehensive recommendation menu is selected by comparing the menus of all fields as a whole. The beverage suitability calculation module 100b reads the recommendation menu according to the weather, the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, and the comprehensive recommendation menu from the beverage DB 95b according to the comparison result. Cafe information, such as cafe name, address, telephone number, website of the beverage is output to the data input and output control unit 40.

Data input and output control unit 40 is a web page with the information on the recommendation menu according to the weather output from the food fitness calculation module 100b, the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, the comprehensive recommendation menu Send to the user's terminal device through the Internet.

If the user terminal device is a computer 5 and a PDA 25 connected by wire, the WAP G / W server 20 and the mobile communication terminal 10 and the PDA 25 wirelessly connected through the wired Internet network. The cafe information on the recommendation menu is received through the wireless Internet network passing through the base station 15 and displayed in the form as shown in FIG. 7.

A customized food optimization method using user food information according to the first embodiment of the present invention having the above configuration will be described with reference to the flowchart of FIG. 8.

8 is a flowchart of a customized food optimization method using user food information according to the first embodiment of the present invention.

Referring to FIG. 8, a user connects to a menu recommendation server 30 recommending food and restaurants desired by a user using a terminal device such as a computer 5, a mobile communication terminal 10, and a PDA 25. Try to (S100). The menu recommendation server 30 allows the user to access and receives the input address or GPS coordinates, food preference weights, date of birth, and price transmitted to the web page to the user (S200). The data input / output controller 40 of the menu recommendation server 30 determines whether an address or a GPS coordinate is input from the received data (S300). According to the determination result, if the address is input, the position calculation module 45 converts the address into the GPS coordinate from the address DB 70 (S400), and moves to step S500 to be described later, and if the GPS coordinate is input according to the determined result, , The location weather weighting calculation module 60 calculates the weight of the food attribute according to the current weather from the GPS coordinates output from the location calculation module 45 from the database table of the weather weighting DB 75a to calculate the food suitability calculation module 100a. Transmit (S500). The food fitness calculation module 100a calculates the weather menu score for each food by multiplying the weights according to the received food attributes by the attributes of each food in the food DB 95a and adding the results (S600). According to the determination result, if the GPS coordinates are input, the biorhythm weighting calculation module 50 calculates the biorhythm score based on the date of birth output from the data input / output control unit 40 and the database table of the biorhythm weighting DB 85a. The weight value of the food attribute according to the biorhythm is calculated and transmitted to the food fitness calculation module 100a (S700). The food fitness calculation module 100a calculates the biorhythm menu score for each food by multiplying the weights according to the received food attributes by the attributes of each food in the food DB 95a and adding the results (S800). According to the determined result, if the GPS coordinates are input, the food suitability calculation module 100a receives the food preference weights input by the user from the data input / output controller 40 to the attributes of each food in the database table of the food DB 95a. An operation corresponding to Equation 1 is performed to calculate a food preference menu score for each food (S900). After the steps S600, S800, and S900, the food suitability calculation module 100a includes the user input price received by the price weighting calculation module 55 from the data input / output control unit 40 and each food read out from the food DB 95a. When the price difference is obtained and the price weight for each food is obtained by referring to the database table of the price weighting DB 90 from the difference, the weather menu score, the biorhythm menu score for each food, calculated in the steps S600, S800, and S900, The food preference is also multiplied by the menu score (S1000). The food fitness calculation module 100a uses the GPS coordinates received by the location weighting module 65 from the location calculation module 45 and the GPS coordinates of the restaurants that provide each food stored in the food DB 95a. After calculating the distance between the restaurants, and referring to the database table of the location weighting DB 80 to obtain the location weight of each food for the current location, the weather menu score and biorhythm for each food reflecting the price weighting calculated in step S1000 The menu score and food preference are also multiplied by the menu score (S1100). The food fitness calculation module 100a corresponds to the highest score by comparing the scores for each food in each category in the weather menu score, biorhythm menu score, and food preference menu score of each food to which price weight and location weight are given. Select the recommended menu according to the weather, biorhythm, food preference (S1200). The food suitability calculation module 100a comprehensively compares the weather menu score, the biorhythm menu score, and the food preference menu score of each food to which the price weight and the location weight are given, and selects a comprehensive recommendation menu corresponding to the highest score. S1300). The food fitness calculation module 100a reads the detailed information about the recommended food from the food DB 95a and transmits it to the data input / output control unit 40, and the data input / output control unit 40 recommends menus according to the read weather. Detailed information on the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, and the comprehensive recommendation menu in the form of a web page to the computer (5), the mobile communication terminal (10), and the PDA (25). Transmit and display (S1400).

In addition, a method for optimizing a customized drink using user beverage information according to a second embodiment of the present invention will be described with reference to the flowchart of FIG. 9.

9 is a flowchart of a customized food optimization method using user food information according to a second embodiment of the present invention.

Referring to FIG. 9, a user connects to a menu recommendation server 30 recommending a drink and a cafe desired by a user using a terminal device such as a computer 5, a mobile communication terminal 10, and a PDA 25. Try (P100). The menu recommendation server 30 allows the user to access and receives the input address or GPS coordinates, the beverage preference weight, the date of birth, and the price transmitted to the web page to the user (P200). The data input / output controller 40 of the menu recommendation server 30 determines whether an address or a GPS coordinate is input from the received data (P300). According to the determination result, if the address is input, the position calculation module 45 converts the address into the GPS coordinate from the address DB 70 (P400), and moves to step P500 to be described later. , The location weather weight calculation module 60 calculates the weight of the beverage attribute according to the current weather from the GPS coordinates output from the location calculation module 45 from the database table of the weather weighting DB 75b and then the drink suitability calculation module 100b. (P500). The beverage suitability calculation module 100b calculates the weather menu score for each beverage by multiplying the weights according to the received beverage attributes by the attributes of each beverage of the beverage DB 95b and summing the results (P600). According to the determination result, if the GPS coordinates are input, the biorhythm weighting calculation module 50 calculates a biorhythm score based on the date of birth output from the data input / output control unit 40 and the database table of the biorhythm weighting DB 85b. The weight value of the beverage attribute according to the biorhythm is calculated and transmitted to the beverage suitability calculation module 100b (P700). The beverage suitability calculation module 100b calculates the biorhythm menu score for each beverage by multiplying the weights according to the received beverage attributes by the attributes of each beverage of the beverage DB 95b and adding the results (P800). According to the result of the determination, if the GPS coordinates are input, the beverage suitability calculation module 100b receives the beverage preference weight input by the user from the data input / output controller 40 and assigns the beverage preference weight to the attribute of each beverage in the database table of the beverage DB 95b. The drink preference menu score for each drink is calculated by performing the operation corresponding to Equation 1 (P900). After the steps P600, P800, and P900, the beverage suitability calculation module 100b includes a user input price received by the price weight calculation module 55 from the data input / output control unit 40 and the respective beverages read from the beverage DB 95b. When the difference in price is obtained and the price weight for each drink is obtained by referring to the database table of the price weight DB DB 90, the weather menu score, biorhythm menu score, and the like for each drink calculated in the steps P600, P800, and P900, Drink preference is also multiplied by the menu score (P1000). The beverage fitness calculation module 100b uses the GPS coordinates received by the location weighting module 65 from the location calculation module 45 and the GPS coordinates of the cafe to provide each beverage stored in the beverage DB 95b. After calculating the distance between the cafes and calculating the position weight of each beverage for the current position by referring to the database table of the position weight DB 80, the weather menu score and the biorhythm for each beverage reflecting the price weight calculated in the step P1000 The menu score and beverage preference are also multiplied by the menu score (P1100). The beverage suitability calculation module 100b compares the score of each beverage in each category with the weighted value and the position weighted weight in the weather menu score, biorhythm menu score, and beverage preference menu score. Select the recommended menu according to the weather, biorhythm, food preference (P1200). The beverage suitability calculation module 100b comprehensively compares the weather menu score, the biorhythm menu score, and the food preference menu score of each beverage to which the price weight and the location weight are given, and selects a comprehensive recommendation menu corresponding to the highest score. P1300). The beverage suitability calculation module 100b reads the detailed information about the recommended beverage from the food DB 95b and transmits it to the data input / output controller 40, and the data input / output controller 40 recommends a menu according to the read weather. Detailed information on the recommendation menu according to the biorhythm, the recommendation menu according to the food preference, and the comprehensive recommendation menu in the form of a web page is provided to the computer 5, the mobile communication terminal 10, and the PDA 25, which are terminals. Transmit and display (P1400).

After providing all the above configurations and steps, in providing a customized menu optimization system and method using the user menu information according to the present invention, the user inputs his or her location and birthday, food or beverage preference to be most suitable for the user in the current state. Food and restaurant or beverage and cafe information can be obtained.

In the above described with reference to the accompanying drawings, preferred embodiments of the present invention in detail. However, embodiments of the present invention may be variously modified or applied by those skilled in the art, the scope of the technical idea according to the present invention should be determined by the claims below. will be.

According to an aspect of the present invention, when the user transmits his / her location, date of birth, and preference for food or drink to a menu recommendation server, the user recommends the most suitable food and restaurant or beverage and cafe information to the user's menu selection. Provide convenience.

According to another aspect of the present invention, the food or drink recommendation for the user based on the user's information scientifically and reasonably recommends a reliable advantage for food and restaurants or drinks and cafes.

According to another aspect of the present invention, by recommending the food and restaurants or drinks and cafes closest to the most preferred food or beverage in the current state, there is an effect that can satisfy the user's preference to the maximum.

Claims (23)

The present invention relates to a system for recommending a menu by receiving information including a user's preferred menu style through the Internet. A terminal device for inputting information including a menu style preferred by a user through the Internet; Data transmission and reception means for receiving information input using the terminal device and extracting data including an address or GPS coordinates for menu and restaurant recommendation, a menu preference weight, a date of birth, and a price; A plurality of databases storing information including address, weather, location, biorhythm, price, menu for calculating weights; A plurality of weight calculation modules for calculating weights from the data including the address or GPS coordinates extracted from the data transmission and reception means, menu preference weights, date of birth, price, and the plurality of databases; And And a menu suitability calculation module for recommending a menu most suitable for a user by using the menu preference weights extracted from the data transmission and reception means and the weight values extracted from the plurality of weight calculation modules. Menu optimization system. The data transmitting / receiving means according to claim 1, A server connection unit allowing a user to access through the Internet using a terminal device; And Transmits a user input interface page to each terminal device in response to the user's connection and receives user input for the same; The address or GPS coordinates, date of birth, and price included in the input information are transmitted to the plurality of weight calculation modules, and the menu preference weights are transmitted to the menu suitability calculation module. A customized menu optimization system using user menu information, characterized in that the data input and output control unit for controlling to transmit the result of the recommended menu information to each terminal device. The method of claim 1, wherein the plurality of databases, An address database storing a database table of addresses and GPS coordinates of a region that can be provided with a service provided by a menu recommendation server; A weather weighting database that stores a database table that gives different weights of menu attributes according to the weather; A location weighting database storing a database table for differently assigning weights to distances between the user's location and a restaurant according to traffic volume; A biorhythm weighting database that stores a database table for assigning different weights of menu attributes according to biorhythms; A price weight database for storing a database table for differently assigning weights according to a difference between a price input by a user and a price stored in a menu database; And And a menu database storing information on each menu provided by the menu recommendation server as a database table. According to claim 1, wherein the plurality of weight calculation module, A location calculation module that searches for an address output from the data input / output control unit in an address database to find a corresponding address, obtains a corresponding GPS coordinate value, and outputs the GPS coordinate value as it is when the user inputs the GPS coordinate value; A location weather weighting calculation module for calculating a weight for a weather from a weather weighting database from a GPS coordinate value of a location output from the location calculating module; A position weight calculation module for calculating a weight for a distance from a GPS coordinate value of a position output from the position calculation module to a restaurant from a position weight database; A biorhythm weighting module for calculating a biorhythm according to the date of birth input by the user and calculating a weight according to the biorhythm from the biorhythm data ace; And Price menu calculation module that compares the price entered by the user and the price stored in the menu database to calculate the weight according to the price difference from the price weight database; Custom menu optimization system using the user menu information comprising a . The terminal apparatus of claim 1, wherein the user inputs information. Custom menu optimization system using the user menu information, characterized in that any one of a computer, a mobile terminal, a PDA. The method of claim 1, wherein the menu suitability calculation module, The menu best suited to the user using the weights calculated through the location weather weighting module, the location weighting module, the biorhythm weighting module, and the price weighting module and the menu preference weight inputted from the data input / output control unit. Customized menu optimization system using the user menu information, characterized in that the recommendation according to the menu preference, comprehensive preference. According to claim 6, The recommendation of the menu according to the weather, Multiplying each weighted value of each menu in the menu database by the weighted value calculated from the location weather weighting module and adding the result, and recommending a menu having the highest result value among the multiplied positional weight and price weight. Customized menu optimization system using user menu information. The method of claim 6, wherein the recommendation of the menu according to the biorhythm is Multiplying the weighted value calculated by the biorhythm weighting module by each attribute value of each menu of the menu database, adding the result, and recommending the menu having the highest result value among the multiplied position weight value and the price weight value. Customized menu optimization system using user menu information. The method of claim 6, wherein the recommendation of the menu according to the menu preferences is The weight value outputted from the data input / output control unit is a formula of each attribute value of each menu of the menu database. Using the user menu information, characterized in that to obtain the result, and to recommend the menu having the highest result value of the score value obtained by multiplying again the position weight value and the price weight. The method of claim 6, wherein the recommendation of the menu according to the comprehensive evaluation is Custom menu optimization system using the user menu information, characterized in that for recommending a menu having the highest value among the results output from the weather, biorhythm, menu preferences. The method according to any one of claims 1 to 10, wherein the menu, Custom menu optimization system using the user menu information, characterized in that the food or drink. The method according to any one of claims 1 to 10, wherein the menu preferences, Customized menu optimization system using the user menu information, characterized in that the food preference or drink preference. The method according to any one of claims 1 to 10, wherein the menu preference weight, Custom menu optimization system using the user menu information, characterized in that the food preference weight or beverage preference weight. The method of any one of claims 1 to 10, wherein the menu suitability calculation module, Customized menu optimization system using the user menu information, characterized in that the food suitability calculation module or beverage suitability calculation module. The method according to any one of claims 1 to 10, wherein the menu database, Custom menu optimization system using the user menu information, characterized in that the food database or beverage database. The present invention relates to a method of recommending a menu by receiving information including a menu style preferred by a user through the Internet. (a) a user attempting to access a menu recommendation server recommending a desired menu and restaurant using an internet terminal device; (b) allowing the menu recommendation server to allow the user to access and receive data including an address or GPS coordinates, a menu preference weight, a date of birth, and a price inputted to the user through a web page; (c) the data input / output control unit of the menu recommendation server determining whether an address or a GPS coordinate is input from the received data; (d) If the address is input according to the judged result, the location calculation module converts the address from the address database into GPS coordinates and proceeds to step (e). (e) If the GPS coordinates are input according to the determined result, the position weather weighting calculation module calculates the weight of the menu attribute according to the current weather from the GPS coordinates from the database table of the weather weighting database and sends it to the menu suitability calculation module. step; (f) According to the determination result, if the GPS coordinates are input, the biorhythm weight calculation module calculates the biorhythm score based on the date of birth output from the data input / output controller, and calculates the weight of the menu attribute according to the biorhythm. Calculating from the database table of the table and transmitting to the food suitability calculation module; (g) The menu suitability calculation module performs a predetermined operation on the attributes of each menu stored in the menu database for the weather, biorhythm, and menu preference weights received in steps (e), (f), and (b). Calculating menu scores for weather, biorhythms, and menu preferences for each menu item; (h) The menu suitability calculation module calculates the price of each menu obtained from the database table of the price weight database by using the difference between the user input price received from the data input / output control unit and the price for each menu read from the menu database. Multiplying the weight by a weather menu score, a biorhythm menu score, and a menu preference menu score for each menu; (i) The menu suitability calculation module calculates the distance between the current location and the restaurant by using the GPS coordinates received by the location weighting module from the location calculation module and the GPS coordinates of the restaurants that provide each menu in the menu database. Multiplying the location weight of each menu with respect to the current location by referring to the database table of the database by the weather menu score, the biorhythm menu score, and the menu preference menu score of each menu reflecting the price weighting value; (j) The menu suitability calculation module compares the score of each menu in each category in the weather menu score, biorhythm menu score, and menu preference menu score of each menu to which price weight and location weight are assigned, and corresponds to the highest score. Selecting a recommendation menu according to the weather, biorhythm, and food preference; (k) The menu suitability calculation module selects a comprehensive recommendation menu corresponding to the highest score by comprehensively comparing weather menu scores, biorhythm menu scores, and menu preference menu scores of each menu to which price and location weights are assigned. ; And (l) the menu suitability calculation module transmits data including the recommended menu to a terminal device accessed by the user through a data input / output controller to a web page; and custom menu optimization using user menu information. Way. The method of claim 16, wherein step (g) is (g-1) the menu suitability calculation module calculating the weather menu score for each menu by multiplying the weights according to the received menu attributes by the attributes of each menu stored in the menu database and adding the results; (g-2) the menu suitability calculation module calculating the biorhythm menu score for each menu by multiplying the weights according to the received menu attributes by the attributes of each menu stored in the menu database and adding the results; And (g-3) The menu suitability calculation module receives the menu preference weights input by the user from the data input / output control unit and calculates the equations in the properties of each menu stored in the menu database. Computing a menu preference menu score for each menu using the; Custom menu optimization method using the user menu information comprising a. The method of claim 16, wherein the data including the menu recommended in step (l), Custom menu optimization using user menu information, characterized in that the menu suitability calculation module reads from the menu database a comprehensive recommendation menu, a recommendation menu according to the weather, a recommendation menu according to the biorhythm, and a recommendation menu according to the menu preference. Way. The method of claim 16, 17 or 18, wherein the menu, Custom menu optimization method using the user menu information, characterized in that the food or drink. The method according to claim 16, 17 or 18, wherein the menu preferences, Custom menu optimization method using the user menu information, characterized in that the food preference or drink preference. The method of claim 16, 17 or 18, wherein the menu preference weight, Custom menu optimization method using the user menu information, characterized in that the food preference weight or beverage preference weight. The method of claim 16, 17 or 18, wherein the menu suitability calculation module, Custom menu optimization method using the user menu information, characterized in that the food suitability calculation module or beverage suitability calculation module. The method of claim 16, 17 or 18, wherein the menu database, Custom menu optimization method using the user menu information, characterized in that the food database or beverage database.