KR101798616B1 - Method of providing recipe and server performing the same - Google Patents

Method of providing recipe and server performing the same Download PDF

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KR101798616B1
KR101798616B1 KR1020160013602A KR20160013602A KR101798616B1 KR 101798616 B1 KR101798616 B1 KR 101798616B1 KR 1020160013602 A KR1020160013602 A KR 1020160013602A KR 20160013602 A KR20160013602 A KR 20160013602A KR 101798616 B1 KR101798616 B1 KR 101798616B1
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recipe
information
food
vector
web
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KR20170092364A (en
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이희정
구승엽
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주식회사 원더풀플랫폼
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Priority to PCT/KR2017/001205 priority patent/WO2017135742A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G06F17/30864—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/12—Cash registers electronically operated
    • G07G1/14—Systems including one or more distant stations co-operating with a central processing unit

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Abstract

The recipe providing server according to an embodiment of the present invention includes a recipe management block that receives a recipe from a cooking expert or collects recipe web information on the web space and manages a recipe, a food material that receives and manages food ingredient information existing in the refrigerator from a user An information management block, a member information management block for receiving and managing member information from a user, and a recipe recommendation block for extracting and recommending a recipe to be recommended to the user using the recipe, the food material information, and the member information. Accordingly, the present invention is advantageous in that a recipe for making food using the food material in the user's refrigerator is presented to prevent the residue from being left.

Description

METHOD OF PROVIDING RECIPE AND SERVER PERFORMING THE SAME [0002]

Embodiments of the present invention relate to a recipe providing method and a server for executing the recipe providing method.

It is a common practice for a user to cook with prepared ingredients referring to a cooking program, a cookbook, or a web page that is displayed on a TV when the user is cooking.

If the user cooks according to the recipe, he / she should always purchase additional food ingredients before cooking. In particular, if the user cooks according to a recipe of a particular dish, he or she must purchase and prepare additional special ingredients. In such a case, the user uses the remaining food ingredients in the refrigerator and can not utilize it for other dishes, so it is stored in the refrigerator for a long time and then is discarded as food waste.

Even if the user tries to cook using the food stored in the refrigerator, there is no way to cook other than the recipe known to him, so it is very common to simply store the food in the refrigerator or to purchase another food to buy another food. Accordingly, even if the food left over or the remaining food is not related to the recipe, the user would use the food material in the form of a rampant type to be used in the refrigerator.

In addition, in the case of a family with a large number of families or a family member, the housewife can recycle the remaining food because the family member has to prepare several meals at different times of the meal, but in the case of a family with few families or alone, When I tried to minimize the time and effort of food, I ate only the food that I always ate, I ate the leftover food simply by eating it, and when I thought that it was too old, As a result, the amount of food waste increases, which is also a problem in the environment.

Korean Patent Laid-Open Publication No. 10-2013-0117255 relates to a recipe storage board for recipe storage. When referring to a recipe as a recipe storage board, it is possible to store a recipe on one side of the board so that the recipe can be easily referenced without restriction of space And a transparent window is formed on the upper side of the accommodation side so as to make it easy to see the recipe. However, a method for solving the above problems is not disclosed.

Korean Patent Publication No. 10-2013-0117255

It is an object of the present invention to provide a recipe providing method and a server for executing the recipe, in which a recipe capable of making food using a food material in a user's refrigerator is presented so as not to leave a residue.

It is another object of the present invention to provide a recipe providing method and a server for executing the recipe, which allow a user to use a food material without leaving a food material in a refrigerator by making and eating food through a recipe.

It is another object of the present invention to provide a recipe providing method and a server for executing the recipe providing a recipe that does not overlap with a recipe used by a user so that a user can cook in various ways to eat various foods instead of the same food each time .

It is another object of the present invention to provide a recipe providing method and a server for executing the recipe providing a recipe according to personal information of a user, do.

The problems to be solved by the present invention are not limited to the above-mentioned problem (s), and another problem (s) not mentioned can be clearly understood by those skilled in the art from the following description.

Among the embodiments, the recipe providing server includes a recipe management block for receiving a recipe from a cooking expert or collecting recipe web information on a web space to manage a recipe, a food material information management block for receiving and managing food ingredient information existing in the refrigerator from a user, A member information management block for receiving and managing member information from a user, and a recipe recommendation block for extracting and recommending a recipe to be recommended to the user using the recipe, the food material information, and the member information.

Among the embodiments, the recipe providing method executed in the recipe providing server includes receiving a recipe from a cooking expert or collecting recipe web information on a web space to manage a recipe, receiving food ingredient information existing in the refrigerator from a user, Receiving member information from the user, and extracting and recommending a recipe to be recommended to the user using the recipe, the food material information, and the member information.

The details of other embodiments are included in the detailed description and the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and / or features of the present invention, and how to accomplish them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

According to the present invention, there is an advantage that a recipe capable of making food using the food material in the refrigerator of the user is presented to prevent the residue from being left.

According to the present invention, there is an advantage that the user can use the food material without leaving the food material in the refrigerator by disposing the food through the recipe.

Also, according to the present invention, a recipes that do not overlap with recipes used by the user are provided, so that the user can cook in various ways and eat various foods instead of the same food each time.

Also, according to the present invention, recipes are provided according to personal information of a user according to a meal number, disease information, and the like, so that a user can provide an appropriate recipe in a personalized manner.

1 is a network configuration diagram for explaining a recipe providing system according to an embodiment of the present invention.
FIG. 2 is a block diagram for explaining an internal structure of the recipe providing server of FIG. 1. FIG.
3 is a block diagram for explaining an internal structure of the recipe management block of FIG.
4 is a block diagram for explaining the internal structure of the web information processing unit of FIG.
Fig. 5 is an exemplary diagram for explaining a recipe workflow generated by the recipe workflow generation unit of Fig. 4; Fig.
FIG. 6 is a block diagram for explaining an internal structure of the member information management unit of FIG. 2. FIG.
FIG. 7 is a block diagram for explaining the internal structure of the recipe recommendation unit of FIG. 2. FIG.
FIG. 8 is a flowchart for explaining an embodiment of a recipe providing method according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a network configuration diagram for explaining a recipe providing system according to an embodiment of the present invention.

1, the recipe providing system includes a recipe providing server 100 and a user terminal 200. The recipe providing server 100 generates a recipe according to the member information and the meal information received from the user terminal 200, And provides it to the user terminal 200.

In one embodiment, the recipe providing server 100 may extract a recipe according to the food ingredient information received from the user terminal 200 held by the general member, and provide the extracted recipe to the user terminal 200. The recipe providing server 100 pays a point according to the activity of the general member, and enables the paid member to perform the function using the accumulated points. For example, the recipe providing server 100 may evaluate a recipe by a general member, or a recipe may be uploaded to a recipe providing server 100 by a general member, or a food image cooked by a general member according to a recipe may be recipe And can pay out points when uploaded to the providing server 100.

In another embodiment, the recipe providing server 100 extracts a recipe by referring to the food material information received from the user terminal 200 held by the paid member and the member information DB previously registered by the paid member, and transmits the recipe to the user terminal 200 ).

The recipe providing server 100 generates and manages a recipe DB in order to provide a recipe at the request of the user terminal 200 as described above.

In one embodiment, the recipe providing server 100 provides a recipe input interface at the request of a cooking expert so that the recipe can be entered by the cooking expert through the recipe input interface. These recipes are stored in the recipe DB and provided according to the user's request.

In another embodiment, the recipe providing server 100 creates a recipe using a recipe web page on the web space. These recipes are stored in the recipe DB and provided according to the user's request.

More specifically, the recipe providing server 100 collects a recipe web page by crawling a recipe web page on the web space, and generates a parse tree by parsing a recipe web page. That is, the recipe providing server 100 can decompose a text into a meaningful token and generate a parse tree composed of tokens for the text of a recipe web page.

Then, the recipe providing server 100 extracts parsing information corresponding to the predetermined tag information by applying a text mining technique (e.g., Conditional Random Fields) to the parse tree. For example, when the predetermined tagging information is food material, quantity, cooking utensil, time, food condition, and cooking expert action, parsing information corresponding to the food material, quantity, cooking utensil, time, Can be extracted.

Then, the recipe providing server 100 stores parsing information and tag information in association with each other. For example, when the "carrot" is extracted from the parse tree as the information corresponding to the tag information "food material" predetermined from the pastry, the information and the tag information correspond to each other and can be stored as "carrot / food material" have. For example, when "four servings" are extracted from the parcel and the information corresponding to the tag information "amount" predetermined from the parcel tree, the parsing information and the tag information correspond to each other and "4 servings / Lt; / RTI >

In addition, the recipe providing server 100 determines a recipe to be recommended to the user using the member information and food ingredient information received from the user terminal 200, and recipe information stored in the recipe DB, and provides the recipe to the user terminal 200.

More specifically, the recipe providing server 100 stores a member information vector generated based on the member information received from the user terminal 200, a food ingredient vector created based on the food ingredient information received from the user terminal 200, And generates a matrix using the generated recipe vector. That is, the recipe providing server 100 can generate the metrics composed of food ingredients, member information, and recipes. At this time, the recipe providing server 100 reduces the dimension of the metrics by using the dimension reduction method (for example, PCA, SVD, etc.) because the amount of data of the matrix composed of the food ingredient × the member information × the recipe is large.

The recipe providing server 100 measures the similarity of each of the information stored in the reduced-size metrics, and clusters similar information to generate clustering information. That is, the recipe providing server 100 stores 1. the food material × the member information × recipe, 2. the food ingredient × the member information × the recipe, 3. the food ingredient × the member information × the recipe, 4. the food ingredient × the member information × Recipe and so on. If 1 and 3 are similar to each other, clustering information of 1 and 3 is generated to generate clustering information, and if 2 and 4 are similar, clustering of information of 2 and 4 can be performed to generate plural groups have.

The recipe providing server 100 may determine whether or not each piece of information is similar according to how much information stored in the reduced-size metrics matches. For example, the recipe providing server 100 judges whether or not the " food ingredients x member information x recipes ", " food ingredients x member information x recipes " Recipe " is similar.

Then, the recipe providing server 100 recommends a recipe based on a plurality of groups. At this time, the recipe providing server 100 recommends the recipe in the order of high recipe according to the rank (i.e., the score of the user evaluation result) in the recipe of each of the plurality of groups.

Unlike the above embodiment, the recipe providing server 100 extracts an appropriate recipe according to the member information and the food ingredients image received from the user terminal 200, provides the recipe to the user terminal 200, The information of the food ingredients is corrected and provided to the user terminal 200 or the other recipes are extracted using the corrected food ingredients information and provided to the user terminal 200. [

That is, the recipe providing server 100 can check what kind of food ingredients are using the food ingredients image received from the user terminal 200, extracts the recipes, provides them to the user terminal 200, The amount of the food material that has been reduced is checked again and provided to the user terminal 200 or another recipe that can use the remaining food materials is extracted and provided to the user terminal 200.

In the above embodiment, the recipe providing server 100 provides the recipe together with the essential ingredients and the selected ingredients information. That is, the recipe providing server 100 may provide essential ingredients and selected ingredients to help the user make intelligent decisions to cook even if a few ingredients are lacking.

The recipe providing server 100 provides the recipe together with the necessary seasoning and the selected seasoning. However, the recipe providing server 100 allows the user to confirm the presence or absence of the seasoning in advance in case of the necessary seasoning, and manages the seasoning in such a manner that the recipe is not problematic.

In the above embodiment, the recipe providing server 100 provides the cyber money or incentive coupon to the professional chef who inputs the recipe according to the feedback on the recipe.

In addition, the recipe providing server 100 provides a more detailed input function when requesting the user to input member information.

In one embodiment, the recipe providing server 100 provides a function of selecting the time until cooked food is cooked in the case of cooking time.

In another embodiment, the recipe providing server 100 provides a function to select from diet meals, health (e.g., diabetes, hypertension, etc.) meals, and patient hospital meals in the case of meals.

In another embodiment, the recipe providing server 100 may be a recipe providing server (e.g., a recipe providing server 100) for a special day (holiday, anniversary, birthday, etc.) , The number of participants in the meal, the sex of the participant, and the non-preferred ingredients (food or recipe that is excluded if you do not like garlic).

In another embodiment, the recipe providing server 100 may be configured to perform a quick selection (e.g., a general dish, a food utilizing a food material, etc.) or a new selection (a new dish or something that has not been eaten for the first time) It provides a function that can do.

In another embodiment, the recipe providing server 100 provides a food interval selection function (e.g., luxury, general, inexpensive, etc.) so that the user can configure the meal at a desired price.

In another embodiment, the recipe providing server 100 provides a recipe information input function, thereby recommending a recipe not to duplicate the latest recipe, and at the same time recommending a recipe can do.

In another embodiment, the recipe providing server 100 provides a menu selection function (for example, daily, weekly, 2-week, etc.) to the currently stored foodstuffs and foodstuffs to be purchased in a weekly, . At this time, the recipe providing server 100 also calculates the food material cost for the food materials to be purchased in the future, and provides the food material cost.

In the above embodiment, the recipe providing server 100 recommends a food material purchasing place where the food materials can be purchased with respect to the food materials to be purchased in the future. For example, the recipe providing server 100 allows the user to select the closest mart to purchase the ingredients, and automatically connects to the mart application on the mobile.

At this time, the recipe providing server 100 provides the function of allowing the user to receive the food material delivery reservation information and deliver the food material according to the delivery reservation information. In addition, the recipe providing server 100 can connect with a mart app so that a user can purchase a discount at a price through the same effect as a group order. This is because, as a result of determining the discount rate of today's day based on the purchase made up to the previous day in consultation with the shopping mart app, the discount rate can be provided to the consumer using the recipe providing server 100 at a group price.

In the above embodiment, the recipe providing server 100 can give a gift certificate at random to the purchaser so that the gift certificate can be purchased free of charge in accordance with the random purchase order.

In addition, the recipe providing server 100 provides a recipe for using the food material when the user presents the food material, and provides a coupon for purchasing the subsidiary material used together with the food material. For example, when a user purchases food materials such as ribs and fish for a gift, the recipe providing server 100 may provide a recipe for using ribs and fish, and may purchase supplementary materials used together with the food materials The coupon is paid.

In addition, the recipe providing server 100 provides a marketplace where the food materials are exchanged with each other, so that the users can exchange the food materials. At this time, the recipe providing server 100 can not exchange food materials that are likely to be damaged or should be refrigerated. Since the recipe providing server 100 needs to guarantee the quality of the replacement product, it is necessary to inform the user who receives the food material that there is no problem by uploading photographs and videos of the food materials. Also, the user who receives the food materials immediately checks the photos and videos of the food materials And to refuse receipt when it occurs.

In addition, the recipe providing server 100 can link and rent a kitchenware, a table, a container, and the like so that the user can borrow it only when necessary.

FIG. 2 is a block diagram for explaining an internal structure of the recipe providing server of FIG. 1. FIG.

Referring to FIG. 2, the recipe providing server 100 includes a recipe management block 110, a food material information managing unit 120, a member information managing unit 130, and a recipe recommending unit 140.

The recipe management block 110 manages a recipe to be provided according to a user's request. To this end, the recipe management block 110 receives a recipe from a cooking expert or manages recipe web information in the recipe DB 111 on the web space.

In one embodiment, the recipe management block 110 provides a recipe input interface at the request of a culinary expert to enable the culinary expert to enter the recipe via the recipe input interface. When the recipe input through the recipe input interface is completed, the recipe management block 110 stores the recipe in the recipe DB 111 and manages the recipe.

In another embodiment, the recipe management block 110 collects recipe web pages by crawling recipe web pages on the web space, and parses the recipe web pages to generate a parse tree. That is, the recipe management block 110 can decompose a string into a meaningful token for a text of a recipe web page, and generate a parse tree composed of tokens.

Then, the recipe management block 110 extracts parsing information corresponding to the predetermined tag information by applying a text mining technique (e.g., Conditional Random Fields) to the parse tree. For example, when the predetermined tagging information is food material, quantity, cooking utensil, time, food condition, and cooking expert action, parsing information corresponding to the food material, quantity, cooking utensil, time, Can be extracted.

Then, the recipe management block 110 stores parsing information and tag information in association with each other. For example, when the "carrot" is extracted from the parse tree as the information corresponding to the tag information "food material" predetermined from the pastry, the information and the tag information correspond to each other and can be stored as "carrot / food material" have. In another example, when the "four servings" are extracted from the parcel with the information corresponding to the predetermined amount of tag information "amount", the recipe management block 110 associates the parsing information with the tag information, Lt; / RTI >

The recipe management block 110 arranges the parsing information and the tag information according to a predetermined rule to generate a series of workflows of the cooking process.

The food material information management block 120 receives and stores the food material information inputted from the user. At this time, when the user inputs the food material information stored in his / her refrigerator into the food material text, the food material image, etc., the food material information management block 120 receives and stores the food material information.

At this time, the food material information management block 120 can check what kind of food materials are using by using the food material image received from the user. After extracting and providing the recipe to the user terminal, the amount of food materials reduced according to the recipe is re- And provides it to the user terminal or extracts another recipe that can utilize the remaining food materials and provides it to the user terminal.

The membership information management block 130 receives the membership information from the user, stores the membership information in the membership information DB 131, and manages the membership information. For example, the member information management block 130 may store a predetermined number of favorite foods, a specific number of disliked foods, recipe difficulty, healthful information, special schedule information, new food creation level, sex, And stores the member information in the member information DB 131 to manage the member information. The member information stored in the member information DB 131 is used by the recipe recommending unit 140 in a process of selecting a recipe for a recommendation target from among a plurality of recipes.

The recipe recommendation block 140 may recommend a recipe using the recipe management block 110, the food material information management unit 120, and the member information management unit 130. [

For this, the recipe recommendation block 140 converts the member information stored in the member information DB 131 into a member information vector model to generate a member information vector, and stores the food ingredient information stored in the food ingredient DB 121 as food ingredients And converts the recipe stored in the recipe DB 111 into a recipe vector model to generate a recipe vector.

Then, the recipe recommendation block 140 generates the metrics using the member information vector, the food ingredient vector, and the recipe vector. That is, the recipe recommendation block 140 is capable of generating a matrix composed of food ingredients, member information, and recipes. At this time, the recipe recommendation block 140 reduces the dimension of the metrics by using the dimension reduction method (for example, PCA, SVD, etc.) because the amount of data of the matrix composed of the food ingredient x member information x recipe is large.

The recipe recommendation block 140 measures the similarity of each of the pieces of information stored in the reduced-size metrics, and clusters similar information to generate clustering information. That is, the recipe recommendation block 140 stores 1. the food ingredient × the member information × recipe, 2. the food ingredient × the member information × the recipe, 3. the food ingredient × the member information × the recipe, 4. the food ingredient × the member information × Recipe and so on. If 1 and 3 are similar to each other, we can group the information of 1 and 3 to create a grouped group. If 2 and 4 are similar, we can group groups of information of 2 and 4.

The recipe recommendation block 140 then recommends a recipe based on a plurality of groups. At this time, the recipe recommendation block 140 recommends the recipe in the order of high recipe according to the rank (i.e., the score of the user evaluation result) in the recipe of each of the plurality of groups.

3 is a block diagram for explaining an internal structure of the recipe management block of FIG.

3, the recipe management block 140 includes a recipe DB 111, a web information processing unit 112, a recipe workflow generation unit 113, a similarity analysis unit 114, and a recipe input interface unit 115 .

The recipe DB 111 is stored with a recipe inputted from the cooking expert through the recipe input interface unit 115 or the recipe workflow generated by the recipe workflow generation unit 113 is automatically stored in the recipe input interface unit 115 The converted recipe is stored.

The web information processing unit 112 collects recipe web pages by crawling recipe web pages on the web space, and generates recipe web pages by parsing the recipe web pages. Then, the web information processing unit 112 extracts parsing information corresponding to the predetermined tag information by applying a text mining technique (e.g., Conditional Random Fields) to the parse tree. Then, the web information processing unit 112 stores parsing information and tagging information in association with each other.

The recipe workflow generation unit 113 generates a series of recipe workflows in the cooking process by arranging the tagging information processed by the web information processing unit 112 according to predetermined rules.

The similarity analyzing unit 114 calculates the similarity between the food materials in the process of creating the recipe workflow by the recipe workflow creating unit 113 to generate the substitute food material information. That is, the similarity analyzing unit 114 calculates the similarity between the information of the food materials in the attribute values of the nodes on the recipe workflow in the process of creating the recipe workflow by the recipe workflow generating unit 113 to generate the substitute food material information do.

Thus, the present invention can propose a substitute material, so that it is possible to use the substitute foodstuffs stored in the refrigerator or the household, so that the use of the foodstuffs in storage is always guided and the fresh foodstuffs and the foodstuffs operation can be efficiently .

4 is a block diagram for explaining the internal structure of the web information processing unit of FIG.

Referring to FIG. 4, the web information processing unit 112 includes a web crawling module 112a, an information parsing module 112b, and an information extraction module 112c.

The web crawling module 112a crawls recipe web information on the web space and provides it to the information parsing module 112b.

The information parsing module 112b parses the recipe web information crawled by the web crawling module to generate a parse tree. That is, the information parsing module 112b can decompose the string into a meaningful token for the text of the recipe web page, and generate a parse tree composed of tokens.

The information extraction module 112c extracts parsing information corresponding to the predetermined tagging information in the parse tree generated by the information parsing module.

Then, the information extraction module 112c extracts parsing information corresponding to the predetermined tag information by applying a text mining technique (e.g., Conditional Random Fields) to the parse tree. For example, when the predetermined tagging information is food material, quantity, cooking utensil, time, food condition, and cooking expert action, parsing information corresponding to the food material, quantity, cooking utensil, time, Can be extracted.

Fig. 5 is an exemplary diagram for explaining a recipe workflow generated by the recipe workflow generation unit of Fig. 4; Fig.

Referring to FIG. 5, the recipe management block 110 generates a parse tree by parsing recipe web information collected in the web space, extracts parsing information corresponding to predetermined tagging information from the parse tree, Information is stored in correspondence with each other.

Then, the recipe management block 110 arranges the generated information corresponding to the parsing information and the tagging information in accordance with the rules generated in advance, and generates a recipe workflow indicating the cooking process.

The recipe workflow is composed of a plurality of nodes, each of the plurality of nodes is assigned an attribute value (for example, food ingredient information), and the link between the node and the node represents a state change.

FIG. 6 is a block diagram for explaining an internal structure of the member information management unit of FIG. 2. FIG.

Referring to FIG. 6, the member information block 130 includes a member information DB 131, a preferred food receiving unit 132, a non-preferred food receiving unit 133, and a personal information receiving unit 134.

The member information DB 131 stores member information received by the favorite food receiving unit 132, the non-preferred food receiving unit 133, and the personal information receiving unit 134, respectively.

The preferred food receiving unit 132 receives a plurality of preferred foods from the user, and the non-preferred food receiving unit 133 receives a plurality of non-preferred foods from the user. At this time, the reason for receiving the plurality of preferred foods and the plurality of non-favorable foods is to filter the recipe to be recommended by analyzing the food materials included therein as well as the foods preferred or not preferred by the user who has recommended the recipe.

The personal information receiving unit 134 receives personal information (for example, recipe difficulty, healthy food information, special schedule information, new food creation level, sex, age, family member, etc.) from the user.

At this time, the personal information receiver 134 provides a more detailed input function when requesting the user to input the member information.

In one embodiment, the personal information receiver 134 provides a function of selecting the time until the food is cooked and cooked in the case of cooking time.

In another embodiment, the personal information receiver 134 provides a function to select a diet meal, health (for example, diabetes, hypertension, etc.) meal, patient hospital meal, etc. in case of a meal type.

In another embodiment, the personal information receiver 134 may be configured to receive personal information (such as a holiday, anniversary, birthday, etc.), a nonuse method (e.g., an oven, a microwave oven, , The number of participants in the meal, the sex of the participant, and the non-preferred ingredients (food or recipe that is excluded if you do not like garlic).

In another embodiment, the personal information receiver 134 may be a personal information receiver (e.g., a personal computer, a personal computer, a personal digital assistant, a personal digital assistant, It provides a function that can do.

In another embodiment, the personal information receiver 134 provides a food interval selection function (e.g., luxury, general, inexpensive, etc.) so that the user can configure the meal at a desired price.

In another embodiment, the personal information receiver 134 provides recipe information input function, thereby recommending recipes not to be duplicated with the most recently consumed food, and recommending recipe can do.

In another embodiment, the personal information receiver 134 may be configured to provide a menu selection function (e.g., daily, weekly, biweekly, etc.) to the currently stored foodstuffs and foodstuffs to be purchased in a weekly, .

FIG. 7 is a block diagram for explaining the internal structure of the recipe recommendation unit of FIG. 2. FIG.

7, the recipe recommendation block 140 includes a food ingredient vector generation unit 141, a member information vector generation unit 142, a recipe vector generation unit 143, a matrix generation unit 144, a clustering recipe generation unit 145 and a recommended recipe selection unit 146.

The food material vector generating unit 141 converts the food material information stored in the food material DB 121 into a food material vector model to generate a food material vector.

The member information vector generation unit 142 converts the member information stored in the member information DB 131 into a member information vector model to generate a member information vector.

The recipe vector generating unit 143 converts the recipe stored in the recipe DB 111 into a recipe vector model, and generates a recipe vector.

The matrix generation unit 144 generates a matrix vector by using the food ingredient vector generated by the food ingredient vector generation unit 141, the member information vector generated by the member information vector generation unit 142 and the recipe vector generated by the recipe vector generation unit 143 To generate the metrics. , The metrics generating unit 144 can generate the metrics composed of the food material x member information x recipe. At this time, the matrix generator 144 reduces the dimension of the matrix by using the dimension reduction method (for example, PCA, SVD, etc.) because the amount of data of the matrix composed of the food ingredient × the member information × the recipe is large.

The clustering recipe generation unit 145 measures the similarity of each of the information stored in the reduced-size matrix by the metrics generation unit 144, and clusters similar information to generate clustering information. That is, the clustering recipe generation unit 145 stores 1. the food ingredient × the member information × recipe, 2. the food ingredient × the member information × the recipe, 3. the food ingredient × the member information × the recipe, 4. the food ingredient × the member information And recipes. If 1 and 3 are similar, the information of 1 and 3 is clustered to generate clustered information. If 2 and 4 are similar, information of 2 and 4 is clustered to generate a plurality of groups .

The recommended recipe selection unit 146 recommends a recipe based on a plurality of groups generated by the clustering recipe generation unit 145. [ At this time, the recommended recipe selection unit 146 recommends the recipe in the order of high recipe according to the rank (i.e., the score of the user evaluation result) in the recipe of each of the plurality of groups.

FIG. 8 is a flowchart for explaining an embodiment of a recipe providing method according to the present invention.

Referring to FIG. 8, the recipe providing server 100 receives a recipe from a cooking expert or collects recipe web information on a web space to manage a recipe (step S810). The recipe providing server 100 receives the food ingredient information existing in the refrigerator from the user (step S820). The recipe providing server 100 receives the member information from the user (step S830). The recipe providing server 100 extracts and recommends a recipe to be recommended to the user using the recipe, the food material information, and the member information (step S840).

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the scope of the appended claims and equivalents thereof.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Modification is possible. Accordingly, the spirit of the present invention should be understood only in accordance with the following claims, and all equivalents or equivalent variations thereof are included in the scope of the present invention.

100: Recipe providing server
110: Recipe management block
111: Recipe DB
112: Web information processing unit
112a: Web crawling module
112b: Information parsing module
112c: information extraction module
113: Recipe workflow generator
114:
115: Recipe input interface part
120: food material information management block
130: Member information management block
131: Membership Information DB
132: Preferred food receiver
133: Non-favorable food receiver
134: personal information receiver
140: Recipe recommendation block
141: Food ingredient vector generation unit
142: Member information vector generation unit
143: Recipe vector generation unit
144: Matrix generation unit
145: Clustering Recipe Generator
146: Recommended recipe selection
200: user terminal

Claims (10)

A recipe management block for receiving a recipe from a cooking expert or collecting recipe web information on the web space and managing the recipe;
A food material information management block for receiving and managing food material information existing in a refrigerator from a user;
A member information management block for receiving and managing member information from a user; And
And a recipe recommendation block for extracting and recommending a recipe to be recommended to the user using the recipe, the food material information, and the member information,
The recipe management block includes:
A web information processing unit for parsing recipe web information collected in the web space to generate a parse tree, extracting parsing information corresponding to predetermined tagging information from the parse tree, and storing the parsing information in association with the tagging information Include;
A workflow generator for generating a recipe workflow indicating a cooking process by disposing information generated by the web information processing according to a rule generated in advance;
A similarity analyzer for analyzing the similarities of the recipe workflows;
A recipe input interface unit for providing a recipe input procedure to the cooking expert or converting the recipe workflow according to a recipe input procedure; And
And a recipe DB storing a recipe received through the recipe input interface unit,
The web information processing unit,
A web crawling module for crawling recipe web information on the web space;
An information parsing module for parsing the recipe web information crawled by the web crawling module; And
And an information extraction module for extracting parsing information corresponding to predetermined tagging information from the parse tree generated by the information parsing module and storing the parsing information in association with the tagging information,
Recipe Provisioning Server.
delete delete The method according to claim 1,
The member information management block
A preferred food receiving module for receiving a predetermined number of favorite foods from the user;
A non-preferred food receiving module for receiving a specific number of disliked foods from the user;
A personal information receiving module for receiving information including at least one of recipe difficulty, health information, special schedule information, new food creation level, gender, age, and family members; And
And a member information DB in which information received via the preferred food receiving module, the non-preferred food receiving module, and the personal information receiving module is stored
Recipe Provisioning Server.
5. The method of claim 4,
The recipe recommendation block
A member information vector generation unit for generating a member information vector by converting member information stored in the member information DB into a member information vector model;
A food material vector generating unit for converting food material information stored in the food material DB into a food material vector model to generate a food material vector;
A recipe vector generating unit for generating a recipe vector by converting a recipe stored in the recipe DB into a recipe vector model;
A matrix generator for generating a matrix for a recipe set composed of ingredients, member information, and recipes using the member information vector, the food ingredient vector, and the recipe vector;
A clustering recipe generation unit for clustering according to similarity of each of the recipe sets to generate a plurality of groups; And
And a recommendation recipe selection unit for recommending a recipe according to a rank in a recipe of each of the plurality of groups
Recipe Provisioning Server.
A recipe providing method executed by a recipe providing server,
Receiving a recipe from a cooking expert or collecting recipe web information on a web space to manage a recipe;
Receiving food ingredient information existing in the refrigerator from a user;
Receiving member information from the user; And
Extracting and recommending a recipe to be recommended to the user using the recipe, the food material information, and the member information,
Wherein the managing the recipe comprises:
Parsing the recipe web information collected in the web space to generate a parse tree, extracting parsing information corresponding to predetermined tagging information from the parse tree, storing the parsing information in association with the tagging information,
Generating a recipe workflow indicating a cooking process by disposing the tagging information according to a rule generated in advance;
Providing a recipe input procedure to the cooking expert or converting the recipe workflow according to a recipe input procedure; And
And storing the recipe received through the recipe input procedure in a recipe DB,
Storing the parsing information and the tagging information in association with each other,
Crawling recipe web information on the web space;
Parsing the crawled recipe web information to generate a parse tree; And
Extracting parsing information corresponding to predetermined tagging information in the parse tree, and storing the parsing information in association with the tagging information
Recipe delivery method.
delete delete The method according to claim 6,
The step of receiving the member information from the user
Receiving a predetermined number of favorite foods from the user;
Receiving a predetermined number of disliked foods from the user; Receiving information including at least one of recipe difficulty, health information, special schedule information, new food creation level, gender, age, and family members; And
And storing the received information in a member information DB
Recipe delivery method.
10. The method of claim 9,
The step of extracting and recommending the recipe
Generating a member information vector by converting member information stored in the member information DB into a member information vector model;
Converting food material information stored in the food material DB into a food material vector model to generate a food material vector;
Converting a recipe stored in the recipe DB into a recipe vector model to generate a recipe vector;
Generating a matrix of a recipe set including a food ingredient, member information, and a recipe using the member information vector, the food ingredient vector, and the recipe vector;
Performing clustering according to similarity of each of the recipe sets to generate a plurality of groups; ??
Recommending a recipe according to a rank within a recipe of each of the plurality of groups
Recipe delivery method.
KR1020160013602A 2016-02-03 2016-02-03 Method of providing recipe and server performing the same KR101798616B1 (en)

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