KR102280307B1 - METHOD AND APPARATUS FOR CURATING Companion animal feed and snack, and system using the same - Google Patents

Abstract

The present invention relates to a companion animal feed and snack curating method, a device thereof and a system using the same. The method comprises the following steps of: mining unstructured feed information related to feed or snacks consumed by a companion animal from a social network service (SNS); preprocessing the unstructured feed information into structured feed information by processing the unstructured feed information; and matching the feed for the companion animal according to companion animal information by using a built-up feed curation database.

Description

Companion animal feed and snack curation method, apparatus, and system using the same {METHOD AND APPARATUS FOR CURATING Companion animal feed and snack, and system using the same}

The present invention relates to a method and apparatus for curating companion animal feed and snacks and a system using the same. More specifically, it is possible to mine unstructured data on companion animal feed and snacks shared on social networks, and use the mined database to provide food and snacks optimized for companion animals input by users and It relates to a snack curation method, apparatus, and system using the same.

Recently, as the number of companion animals in homes increases, a lot of information is shared on social networks. The conventional companion animal app provides information by analyzing standardized data, but the reality is that data from the social network is not analyzed. Since the species of companion animals are innumerable and their behaviors and disease symptoms are also very diverse, there is a limit to the care of companion animals only with standardized data.

In addition, users who have companion animals prefer to purchase the latest products that are ahead of the trend for the health of their companion animals, and they prefer to purchase products of higher quality. In particular, the purchase of companion animal products used by famous influencers is preferred, but the conventional sales method for companion animal feed and snacks does not reflect the latest information shared on SNS at all, and it is simply product information. provides only. That is, the conventional sales method for feed and snacks for companion animals only provides simple information and fails to recommend food and snacks optimized for each companion animal.

Therefore, it is required to develop a technology that reflects the latest trends on companion animals, collects abundant information quickly, and uses this information to recommend the best customized products for companion animals that users wanting companion animals.

Korean Patent Publication No. 10-2017-0012498 A

The technical problem to be solved by the present invention is to provide a companion animal feed and snack curation method that can provide a user with a feed curation of rich and accurate information.

Another technical problem to be solved by the present invention is to provide a companion animal feed and snack curation method in which a user can freely feed a recommended feed to a companion animal by providing highly reliable feed curation information.

Another technical problem to be solved by the present invention is that it is possible to quickly collect a wealth of information on feed and snacks and a trend of new feed and snacks, and information on feed and snacks corresponding to companion animal information input from the user. It is to provide a method of curating companion animal food and snacks that can provide quickly and accurately.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

Companion animal feed and snack curation method according to an embodiment of the present invention for solving the above technical problem, in the method performed by a computing device, feed or snacks consumed by the companion animal from a social network service (SNS) Mining related unstructured feed information, processing the unstructured feed information to preprocess the unstructured feed information into structured feed information, collecting the structured feed information to build a feed curation database, reject from the user terminal receiving animal information; matching a feed for a companion animal according to the companion animal information using the built-up feed curation database; and feed curation information for recommending the matched feed to the companion animal. It may include the step of transmitting to the user terminal.

In one embodiment, the mining of the atypical feed information related to the feed or snack consumed by the companion animal includes accessing the SNS, and the companion animal and the feed or snack consumed by the companion animal from the SNS. and crawling the media content and text included together, wherein the pre-processing of the unstructured feed information by processing the unstructured feed information into the structured feed information comprises: With respect to the unstructured feed information comprising the media content and text, the The step of labeling the breed, date of birth, gender and weight of the companion animal, and the characteristics corresponding to the disease of interest and the function of interest, clustering based on the attribute of the labeled atypical feed information, and based on the similarity, the atypical feed information is categorized and outputting the raised standardized feed information, wherein the step of receiving the companion animal information from the user terminal includes essential information on the breed, date of birth, sex and weight of the companion animal and the disease and interest of the companion animal. and receiving selection information for a function, and matching the feed for the companion animal using the built-up feed curation database includes: based on the companion animal information, genetic diseases for each breed, required functions, Determining the required raw material/ingredient and feeding amount, comparing the determined genetic disease, required function, required raw material/ingredient and feeding amount information for each variety with the feed list stored in the feed curation database, and matching by the comparison Comprising the step of sorting the feed list based on the size of the data, and transmitting the feed curation information for recommending the matched feed to the companion animal to the user terminal, age information suitable for the feed, size In order from the largest data size in which information, the plurality of function information and the companion animal information match, the age information suitable for the feed, size information, and the data size in which the plurality of function information and the companion animal information match become smaller. recommending the feed can do.

In an embodiment, transmitting the feed curation information for recommending the matched feed to the companion animal to the user terminal further comprises verifying the reliability of the feed curation information, wherein the feed curation information The step of verifying the reliability of the information includes collecting evaluation information on the feed curation information from another user terminal, and calculating the reliability of the feed curation information according to the evaluation information on the feed curation information; Comparing the desired reliability information input from the user terminal inputting the companion animal information and the reliability of the feed curation information, and the feed curation only when the reliability of the feed curation information is higher than the desired reliability Comprising the step of transmitting information to the user terminal, the step of building a feed curation database by collecting the information of the companion animal and the fixed feed information includes the classification of the companion animal, age, breed size, desired major Function, desired main ingredient and brand of the above feed, product name, capacity, supply price, average online selling price, consumer price, list price, promotion status, main function, main ingredient, ingredients, manufacturing characteristics, country of origin, total raw material composition, feed amount, individual packaging Classifying and storing data by availability, expiration date, similar search terms, and brief description;

Classifying the age into puppies of less than 1 year, adult dogs of 1 year to less than 7 years, and old dogs of 7 years or more, classifying the size of the dog breed into small, medium and large according to the breed, the main function Immunity enhancement, digestion enhancement, tartar prevention/removal, joint/bone strengthening, skin (hair) improvement, diet, eye health, intestinal function improvement and respiratory health improvement. , may include the step of classifying into weight-to-weight ratio, basal metabolic rate, daily calorie intake, and daily intake.

Since the companion animal feed and snack curation system according to an embodiment of the present invention mines a wealth of information about companion animal feed and snacks from SNS, it is possible to provide users with rich and accurate informational feed curation. There is this.

Since the companion animal feed and snack curation method according to an embodiment of the present invention provides highly reliable feed curation information, the user can safely feed the recommended feed to the companion animal. In addition, the steady inflow and use of this service by pet owners who value trust can be guaranteed.

Since the companion animal feed and snack curation method according to an embodiment of the present invention collects atypical data from SNS in real time, it is possible to quickly collect abundant information about feed and snacks and trends of new feed and snacks, and the user It has the advantage of being able to quickly and accurately provide information on feed and snacks corresponding to the companion animal information entered from the

1 is a schematic diagram of a companion animal feed and snack curation system according to an embodiment of the present invention.
2 is a flowchart of a method for curating companion animal feed and snacks according to an embodiment of the present invention.
3 is a diagram illustrating an example of a companion animal feed and snack curation application according to an embodiment of the present invention.
FIG. 4 is a diagram for describing steps S100 to S300 of FIG. 2 in more detail.
5 is a diagram illustrating an example for each item of data constructed in a feed curation database.
6 is a diagram illustrating an example of another item of data constructed in a feed curation database.
7 is a diagram for explaining steps S500 and S600 of FIG. 2 in more detail.
8 is a diagram for explaining an example of matching a feed in a feed curation database according to companion animal information.
FIG. 9 is a diagram for explaining an operation additionally performed in FIG. 2 .
10 is a diagram illustrating an operation sequence of providing feed curation information using companion animal information according to an embodiment of the present invention.
11 is a hardware configuration diagram of an apparatus for curating companion animal feed and snacks according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the technical spirit of the present invention is not limited to the following embodiments, but may be implemented in various different forms, and only the following embodiments complete the technical spirit of the present invention, and in the technical field to which the present invention belongs It is provided to fully inform those of ordinary skill in the art of the scope of the present invention, and the technical spirit of the present invention is only defined by the scope of the claims.

In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless clearly defined in particular. The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase.

In addition, in describing the components of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the components from other components, and the essence, order, or order of the components are not limited by the terms. When a component is described as being “connected”, “coupled” or “connected” to another component, the component may be directly connected or connected to the other component, but another component is between each component. It should be understood that elements may be “connected,” “coupled,” or “connected.”

As used herein, “comprises” and/or “comprising” refers to the presence of one or more other components, steps, operations and/or elements mentioned. or addition is not excluded.

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

1 is a schematic diagram of a companion animal feed and snack curation system according to an embodiment of the present invention.

Referring to FIG. 1 , the companion animal feed and snack curation system according to an embodiment of the present invention may include a feed curation server 100 and a user terminal 200 .

The feed curation server 100 may build a database by mining atypical feed information about feed and snacks from a social network service (SNS). At this time, the feed curation server 100 may pre-process the unstructured data obtained from the SNS, process it into standardized feed information, and then categorize the standardized feed information to build a database. The feed curation server 100 may curate food and snacks for the user's companion animal to the user by using the database. The feed curation server 100 may provide feed curation to the user terminals 200 - 1 to 200 - 3 through a feed curation application that recommends feed and snacks.

In the present specification, the companion animal refers to a dog or a cat, but is not limited thereto. In addition, in the present specification, the feed refers to feed or snacks, but is not limited thereto, and may refer to various foods that the companion animal can consume.

The user terminals 200-1 to 200-3 are client terminals for accessing the companion animal feed and snack curation server 100, and include a smart phone, a laptop computer, a digital broadcasting terminal, and a PDA ( Personal digital assistants, portable multimedia players (PMPs), navigation, slate PCs, tablet PCs, wearable devices, for example, watch-type terminals (smartwatch), etc. may be included. On the other hand, the function execution apparatus of the present invention is not limited to the examples listed above.

The user terminals 200 - 1 to 200 - 3 may input companion animal information through the feed curation application and transmit it to the feed curation server 100 . Thereafter, the user terminals 200-1 to 200-3 may output a feed curation corresponding to the input of companion animal information.

Since the companion animal feed and snack curation system according to an embodiment of the present invention mines a wealth of information about companion animal feed and snacks from SNS, it is possible to provide users with rich and accurate informational feed curation. There is this.

So far, the configuration of the companion animal feed and snack curation system according to an embodiment of the present invention has been schematically described with reference to FIG. 1 . Hereinafter, a method for curating companion animal feed and snacks according to an embodiment of the present invention will be described with reference to FIGS. 2 to 10 . This embodiment may be performed by a computing device. For example, the computing device may be the feed curation server described with reference to FIG. 2 . In describing the present embodiment, descriptions of subjects performing some operations may be omitted. In this case, the performing subject is the computing device.

2 is a flowchart of a companion animal feed and snack curation method according to an embodiment of the present invention, and FIG. 3 is a diagram illustrating an example of a companion animal feed and snack curation application according to an embodiment of the present invention.

Referring to FIG. 2 , unstructured feed information may be mined from social network service (SNS) in step S100. The atypical feed information may be information related to feed or snacks consumed by the companion animal. In this case, atypical feed information about the feed of the companion animal may be mined by regularly or irregularly accessing the SNS. In an embodiment, a mining command is generated irregularly from the server, and atypical feed information may be collected by accessing the SNS according to the mining command.

In step S200, the unstructured feed information may be pre-processed into the structured feed information. The unstructured feed information may be processed into standardized information to be built into a database. The processed standardized feed information may be processed into information corresponding to various categories on the type of feed, the function of the feed, the target of the feed, and the like.

In step S300, the structured feed information may be collected to build a feed curation database. The feed curation database can be managed by collecting previously stored and managed information and information collected through mining.

The feed curation database can store and manage feeds according to detailed information about the feed, and can manage information about the relationship between the feed and companion animals. That is, the feed curation database may store and manage information on criteria for selecting a feed suitable for a specific companion animal.

In step S400, information on companion animals to be provided with feed curation from the user terminal may be input. The companion animal information may be divided into essential information on the breed, date of birth, gender, and weight of the companion animal and optional information on the disease and function of interest of the companion animal.

As shown in the screen 10 of FIG. 3, the companion animal information is selected in the order of breed and age, and as shown in the screen 11, information on gender, surgery or not, weight, disease of interest, and function of interest in feed snacks is entered and registered in the application. can be

In this case, according to another embodiment, the companion animal information may be inputted through photographing of the user terminal or input of media content. That is, companion animal information goes through image processing of the image taken by the user terminal to obtain essential information on the breed, date of birth, gender and weight of the companion animal, as well as optional information on the disease of interest and function of interest of the companion animal. It can be estimated and entered automatically.

Similarly, when a pre-captured photo or video is input to the application, the companion animal information may be automatically estimated and inputted through image processing.

A feed suitable for the companion animal information input by the user in step S500 may be matched. Feeds for companion animals can be matched using a curation database. By matching the companion animal information and information stored in the curation database, the feed that matches the most may be determined as the feed optimized for the companion animal.

Thereafter, by generating feed curation information in step S600 , feed curation information for a feed or snack most optimized for companion animals may be provided. Such feed curation information may be information consisting of text, image, or video on the type, price, and intake method of feed or liver. As shown in FIG. 3 , information on the registered companion animal is managed on the screen 12 , and feed can be recommended for the registered companion animal on the screen 13 . In addition, on the screen 14 , snacks may be selected, information on diseases or exercise may be additionally provided, and marketing information of related products may also be provided. In addition, on the screen 15, other users' reviews of the feed or information on an intake method may be provided.

FIG. 4 is a diagram for describing steps S100 to S300 of FIG. 2 in more detail.

As shown in FIG. 4 , steps S110 and S120 are performed when unstructured feed information is mined in step S100, steps S210 and S220 are performed when preprocessed into structured feed information in step S200, and steps S400 when companion animal information is input. S410 may be performed.

Specifically, the SNS may be accessed in step S110. SNS may refer to network services such as Twitter, Facebook, and Instagram, and may refer to interactive communication services such as KakaoTalk, Line, and Snapchat, but is not limited thereto. It can mean various flat bodies that can be.

In step S120, the companion animal and the media content and text including feed or snacks consumed by the companion animal may be crawled from the SNS. That is, when it is determined that the text, image, or image of the companion animal exists in the content, and it is determined that there is feed or snacks consumed by the companion animal together with the companion animal, it may be crawled by determining the atypical feed information.

When it is determined that a companion animal is present in the image or video, if a substance exists in or around the mouth of the companion animal, it may be determined as content including feed or snacks. Also, in the case of text, when a word of food or snack exists in a position adjacent to a word of a companion animal within a preset distance, it may be determined as atypical feed information.

In step S210, a feature may be labeled with respect to the unstructured feed information. Specifically, the breed, date of birth, sex and weight of the companion animal, and characteristics corresponding to the disease of interest and the function of interest may be labeled with respect to the atypical feed information composed of media content and text.

In step S220, the unstructured feed information may be clustered based on the similarity to the attribute of the labeled unstructured feed information. For example, similar unstructured feed information may be determined by clustering based on an attribute of labeled unstructured feed information, and similar unstructured feed information may be categorized. Accordingly, similar information with respect to the labeled feature may be managed as a relationship between similar information. In a subsequent step, the unstructured feed information may be categorized and the standardized feed information may be output.

In step S300, a feed curation database may be built using standardized feed information, and in step S400, essential information and optional information of a companion animal may be input as described above.

5 is a diagram illustrating an example of data constructed in a feed curation database for each item, and FIG. 6 is a diagram illustrating an example of data constructed in a feed curation database for each item.

As shown in FIG. 5, the feed curation database 20 includes feed/snack information 21 for manufacturers, brands, and feed names of feeds and snacks, recommended ages classified as all ages, puppies, adults, and seniors (22), amount, Main ingredients divided into chicken, brown rice and oats (23), crude protein, crude fat, and calcium (24), main functions for improving hair quality, improving immunity, strengthening joints (25), and It can be made of a feeding amount (26).

In one embodiment, the feed curation database 20 is the brand of the feed, product name, capacity, supply price, online average selling price, consumer price, list price, promotion status, main function, main ingredient, ingredients, manufacturing characteristics, country of origin, all raw materials Data can be classified and stored according to composition, amount of feeding, whether or not individually packaged, expiration date, similar search terms, and brief description.

In addition, as shown in FIG. 6 , the feed curation database 30 may include criteria for recommending a feed, and is divided into a dog, a cat classification 32 and a dog main breed 33 according to the breed classification 31 . can As another item, age and size information 33 for the age and age 32 and the selected breed according to age and size classification 31 may be managed. In addition, information on characteristics (31) and genetic diseases (31) by breed/age may also be included.

In one embodiment, the feed curation database 30 may store the classification of companion animals, age, dog breed size, desired main function, and desired main raw material, and age, Puppy less than 1 year, 1 year or more and less than 7 years It can be classified and stored as an adult dog of 7 years or older.

In addition, the feed curation database 30 classifies the breed size into small, medium, and large according to the breed, and the main function is to improve immunity, improve digestion, prevent/remove calculus, strengthen joints/bones, and improve skin (hair quality). , diet, eye health, improved intestinal function, and improved respiratory health. In addition, the feed curation database 30 may classify and manage the weight and feed amount suitable for the feed into the age of birth, the number of feeds relative to the weight, the basal metabolic rate, the daily feed calories and the daily intake.

This relates to an example of the feed curation database, and is not limited to the above.

7 is a diagram for explaining steps S500 and S600 of FIG. 2 in more detail, and FIG. 8 is a diagram for explaining an example of matching a feed in a feed curation database according to companion animal information.

Referring to FIG. 7 , when the feed for the companion animal is matched in step S500, steps S510 to S530 may be performed, and when the feed curation information is provided in step S600, step S610 may be performed.

Specifically, in step S510, a genetic disease for each breed, a required function, a required raw material/ingredient, and a feeding amount may be determined based on the companion animal information. These breed-specific genetic diseases, necessary functions, necessary raw materials/ingredients, and feeding amounts may be determined by searching the information of the corresponding companion animal in the feed curation database of FIG. 6 .

The genetic disease, required function, required raw material/ingredient, and feed amount information for each variety determined in step S520 may be compared with the feed list stored in the feed curation database. Specifically, based on the information determined in step S510, a feed with matching information may be searched from the feed list stored in the feed curation database of FIG. 6 . After the comparison process, the feed list may be sorted based on the size of matching data in step S530.

As shown in Fig. 8, companion animal information 40 is input, breed and age are set to "Shi Tzu / 3 years old", disease is set as "gingivitis", and the function of interest is input to improve immunity and improve digestion In this case, the necessary functions for the corresponding companion animal can be searched through the feed curation database. Through this, the necessary functions for the companion animal can be set as joint and bone strengthening, ear health, respiratory health improvement, eye health, tartar prevention/removal, nutrition supply, immunity improvement and digestion enhancement.

Feeds can be matched by searching for these necessary functions in the feed curation database. That is, in the feed product data (41), immunity enhancement, digestion enhancement, tartar prevention/removal, and joint bone strengthening functions exist, and the age corresponds to "A" and the size corresponds to "small" "Propolene small dog 13kg for adult dogs" “The feed can be selected as the most matching data. The data with the second most matching data was “ANF Minio Adult 12KG” feed, which corresponds to digestion improvement, joint bone strengthening, and tartar prevention/removal, and corresponds to “A” for age and “small” for size. can be selected as

In step S610, as shown in FIG. 8, the feeds matching the largest data size among the feed list may be sorted in descending order from the smallest size feeds, and feed curation information for the most matching feeds is generated and the user It may be provided as a terminal.

FIG. 9 is a diagram for explaining an operation additionally performed in FIG. 2 .

After step S600 of FIG. 2 is performed, step S700 may be additionally performed. Specifically, in this step, an operation for verifying the reliability of the feed curation information may be performed.

In step S710, evaluation information on the feed curation information is collected from another user terminal, and the reliability of the feed curation information may be calculated according to the evaluation information on the feed curation information.

That is, evaluation information on feed curation information previously recommended by another user terminal from another user terminal may be input. Such evaluation information may be input as a star point, a rating, and the like. However, if the reliability of the feed curation information is calculated based on the evaluation information received from one or two other users, since the accuracy of the reliability calculation may be low, evaluation information is collected from a plurality of user terminals and the collected evaluation Appropriate reliability can be calculated based on the variance and average of the information.

Also, a desired reliability may be input from the user terminal. The desired reliability may be a set value of the user that, when receiving the feed curation information, only receive the feed curation information to which the reliability above a predetermined criterion is given.

It can be determined whether the reliability of the feed curation information is higher than the desired reliability information in step S720, and only when the reliability of the feed curation information is higher than the desired reliability, the feed curation information is transmitted to the user terminal in step S730. can

According to the present invention, since the companion animal feed and snack curation method provides highly reliable feed curation information, the user can freely feed the recommended feed to the companion animal, and in addition, the companion animal who values trust is important. The steady inflow and use of this service by guardians can be guaranteed.

10 is a diagram illustrating an operation sequence of providing feed curation information using companion animal information according to an embodiment of the present invention.

In the operation sequence for providing feed curation information as shown in FIG. 10, companion animal information 50 is input on the companion animal feed and snack curation application, genetic diseases 51 for each breed are analyzed, and characteristics of each breed ( 52) can be analyzed. Based on such information, the necessary function 53 and the necessary raw materials and components 54 may be analyzed. In addition, the feed amount 55 is determined according to the breed, age, and size, and by integrating this, a curation message 56 that is various information such as diseases and exercise related to information on the most suitable feed for companion animals can be provided. .

Since the companion animal feed and snack curation method according to an embodiment of the present invention collects atypical data from SNS in real time, it is possible to quickly collect abundant information about feed and snacks and trends of new feed and snacks, and the user It has the advantage of being able to quickly and accurately provide information on feed and snacks corresponding to the companion animal information entered from the

So far, a method for curating companion animal feed and snacks and a method for providing a meat purchase and management service using the same have been described with reference to FIGS. 1 to 10 .

11 is an exemplary hardware configuration diagram illustrating the computing device 500 .

11 , the computing device 500 loads one or more processors 510 , a bus 550 , a communication interface 570 , and a computer program 591 executed by the processor 510 . It may include a memory 530 and a storage 590 for storing the computer program (591). However, only the components related to according to an embodiment of the present invention are shown in FIG. 11 . Accordingly, a person skilled in the art according to an embodiment of the present invention can know that other general-purpose components in addition to the components shown in FIG. 11 may be further included.

The processor 510 controls the overall operation of each component of the computing device 500 . The processor 510 is a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), GPU (Graphic Processing Unit), or any form well known in the art according to an embodiment of the present invention. It may be configured to include at least one of the processors. In addition, the processor 510 may perform an operation on at least one application or program for executing the method/operation according to various embodiments described herein. Computing device 500 may include one or more processors.

The memory 530 stores various data, commands, and/or information. Memory 530 may load one or more programs 591 from storage 590 to execute methods/operations according to various embodiments described herein. An example of the memory 530 may be a RAM, but is not limited thereto.

The bus 550 provides communication between components of the computing device 500 . The bus 550 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

The communication interface 570 supports wired/wireless Internet communication of the computing device 500 . The communication interface 570 may support various communication methods other than Internet communication. To this end, the communication interface 570 may be configured to include a communication module well-known in the art according to an embodiment of the present invention.

The storage 590 may non-temporarily store one or more computer programs 591 . The storage 590 is a non-volatile memory such as a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, or according to an embodiment of the present invention. It may be configured to include any type of computer-readable recording medium well known in the art.

The computer program 591 may include one or more instructions in which methods/acts according to various embodiments described herein are implemented. When the computer program 591 is loaded into the memory 530 , the processor 510 may execute the one or more instructions to perform methods/operations according to various embodiments described herein.

The methods according to the embodiments described so far may be performed by executing a computer program implemented as computer readable code. The computer program may be transmitted from the first computing device to the second computing device through a network such as the Internet and installed in the second computing device, thereby being used in the second computing device. The first computing device and the second computing device include all of a server device, a physical server belonging to a server pool for a cloud service, and a stationary computing device such as a desktop PC.

The computer program may be stored in a recording medium such as a DVD-ROM or a flash memory device.

Although the embodiments have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which an embodiment of the present invention pertains do not change the technical spirit or essential features of an embodiment of the present invention. It can be understood that it may be implemented in other specific forms without Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

Claims (3)

A method performed by a computing device, comprising:
Mining atypical feed information related to feed or snacks consumed by companion animals from a social network service (SNS);
preprocessing the unstructured feed information into structured feed information by processing the unstructured feed information;
building a feed curation database by collecting the structured feed information;
receiving companion animal information from a user terminal;
matching a feed for a companion animal according to the companion animal information using the built-up feed curation database; and
and transmitting feed curation information for recommending the matched feed to the companion animal to the user terminal,
The step of mining the atypical feed information related to the feed or snack consumed by the companion animal,
accessing the SNS;
When the content of the SNS is an image or a video, when a companion animal is included in the content and a substance exists in or around the mouth of the companion animal in the content, it is determined that the feed exists, and the content of the SNS determining that the text about the companion animal is included in the content and the feed exists within a preset word interval in the text about the companion animal in the content when is text;
determining the content of the SNS as the atypical feed information based on a result of determining that the feed exists;
and
Comprising the step of crawling the content of the SNS determined by the atypical feed information,
Transmitting feed curation information for recommending the matched feed to the companion animal to the user terminal,
Further comprising the step of verifying the reliability of the feed curation information,
The step of verifying the reliability of the feed curation information,
collecting evaluation information on the feed curation information from another user terminal, and calculating reliability of the feed curation information according to the evaluation information on the feed curation information;
comparing the desired reliability information input from the user terminal inputting the companion animal information and the reliability of the feed curation information; and
Transmitting the feed curation information to the user terminal only when the reliability of the feed curation information is higher than the desired reliability,
The step of processing the unstructured feed information to pre-process the unstructured feed information into structured feed information,
labeling the breed, date of birth, sex and weight of the companion animal, and characteristics corresponding to a disease of interest and a function of interest on the atypical feed information comprising the image or video content and text;
Comprising the step of clustering based on the attribute of the labeled unstructured feed information and outputting the structured feed information in which the unstructured feed information is categorized based on the similarity,
The step of receiving companion animal information from the user terminal comprises:
Receiving essential information on the breed, date of birth, gender and weight of the companion animal and selection information on the disease of interest and function of interest of the companion animal,
The step of matching the feed for the companion animal using the built-up feed curation database includes:
determining genetic diseases, necessary functions, necessary raw materials/ingredients and feeding amounts for each breed based on the companion animal information;
comparing the determined genetic disease, required function, required raw material/ingredient, and feed amount information for each variety with a feed list stored in the feed curation database; and
Sorting the feed list based on the size of the data matched by the comparison,
Transmitting feed curation information for recommending the matched feed to the companion animal to the user terminal,
Age information, size information, a plurality of function information suitable for the feed and the companion animal information are matched from the feed with the largest data size to which the age information, size information, and a plurality of function information suitable for the feed match the companion animal information and recommending the feeds in the order of decreasing data size,
The step of building a feed curation database by collecting the information of the companion animal and the fixed feed information includes:
Classification of companion animal, age, dog breed size, desired main function, desired main ingredient and brand of the feed, product name, capacity, supply price, online average selling price, consumer price, list price, promotion status, main function, main ingredient, ingredient, manufacturing Classifying and storing data by characteristics, country of origin, composition of all raw materials, amount of feeding, whether individual packaging is carried out, expiration date, similar search terms, and brief description;
Classifying the age into a puppy of less than 1 year, an adult dog of 1 year or more and less than 7 years, and an elderly dog of 7 years or more;
Classifying the dog breed size into small, medium and large according to the breed;
Classifying the main functions into immunity improvement, digestion enhancement, tartar prevention/removal, joint/bone strengthening, skin (hair) improvement, diet, eye health, intestinal function improvement, and respiratory health improvement; and
Comprising the step of classifying the weight and feeding amount suitable for the feed into the age of birth, the number of feeding times relative to the body weight, the basal metabolic rate, the daily feeding calorie and the daily intake,
How to curate pet food and treats.
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