KR102346521B1 - Pet recommendation system and method - Google Patents

Abstract

The present invention relates to a companion animal recommendation system and method for providing a companion animal matching and management service that is most suitable for a user who wants to adopt a companion animal, and the companion animal matching server provides a companion animal adopter's lifestyle from an application of a user terminal. Ranks companion animals based on data from the adopter database that stores user information by receiving weight information based on the companion animal database, which lists and registers companion animals and stores companion animal information, and the adopter database and companion animal database It includes a matching algorithm module recommended for each, and a management service providing module that monitors the lives of companion animals sold by the matching algorithm module and provides necessary services.

Description

Companion animal recommendation system and method {PET RECOMMENDATION SYSTEM AND METHOD}

The present invention relates to a companion animal recommendation system and method, and more particularly, to a companion animal recommendation system and method for matching a companion animal most suitable for a user who wants to adopt a companion animal and providing a management service for each life cycle.

Pets or companion animals refer to animals that humans raise mainly for pleasure. These pets are called companion animals in the sense of treating them as companions rather than possessions for human pleasure.

In particular, nowadays, with the increase of single-person households along with economic development, the number of people who have companion animals to relieve loneliness or obtain emotional sympathy is increasing.

As the number of people who keep such companion animals increases, the size of the related market continues to grow, moving away from the existing offline markets such as pet supply stores, pet beauty salons, hotels, and cafes, and gradually providing online brokerage services, information providing services and Social communities and the like are increasing.

However, among the services provided online through websites and applications, detailed information provision services and customized management services for companion animals of various species and breeds are insufficient, resulting in social problems leading to abandonment or abandonment. There is a problem with

Accordingly, recently in the United States, when adopting companion animals, a matching system culture in which people decide to live together only after confirming the 'compatibility' between humans and animals is being established.

This matching system observes an animal to be adopted to understand its characteristics, conducts a survey of prospective adoptees to classify the person's personality, and then selects the perfect mate for both sides. Even with the introduction of the system, it is reported that more than 1 in 10 adopted companion animals return to the shelter every year.

Therefore, there is a need for a system to provide optimal satisfaction to not only adoptees but also companion animals by upgrading the matching system that matches the tendencies of people and animals.

As a prior art for solving the above-mentioned problems, it is known in Republic of Korea Patent Publication No. 10-1873481 (2018.07.02.) that relates to an O2O matching platform system that provides a multifunctional service for companion animals.

However, the conventional technology provides new domestic travel products and contents related to travel with companion animals by providing information on all places that can be entered with companion animals around the travel destination as well as spaces for companion animals through PC and mobile applications. It provides technology for an integrated platform for companion animals that can be created, and it is different from the technology that matches the most suitable companion animal to the lifestyle of people who want to receive companion animals for sale.

The present invention was derived to solve the problems of the prior art described above, and an object of the present invention is to analyze personal patterns according to the lifestyles of people who want to receive companion animals and apply an algorithm through it to analyze the most suitable companion animals. An object of the present invention is to provide a system and method for providing a service that matches

In addition, another object of the present invention is to provide a system and method for providing customized products and service information for each life cycle required for raising a companion animal based on the data of the companion animal when a companion animal recommended by the companion animal adopter is sold. that you want to provide.

In addition, another object of the present invention is to advance the matching algorithm by continuously learning the personality patterns, life rules, activity styles, etc. inherent between the user's lifestyle and companion animal data.

Another object of the present invention is to extract more important information and service items of service items for each life cycle by analyzing and processing accumulated data based on the data of the companion animal by big data.

The present invention for solving the above technical problem consists of a companion animal matching server and a user terminal that interworks with the companion animal matching server and applies for a companion animal service by an application, wherein the companion animal matching server is configured from the application of the user terminal. An adopter database that stores user information by receiving weight information based on the lifestyle of a companion animal adopter; a companion animal database that lists and registers companion animals and stores companion animal information; It has a characteristic comprising a matching algorithm module that recommends companion animals by rank based on data, and a management service providing module that monitors the lives of companion animals sold by the matching algorithm module and provides necessary services.

In addition, the adoptive lifestyle of the present invention is any one of the user's gender, income, residence, physical data, activity style, allergy status, exercise amount, commuting time, expected time to spend with companion animals during the day, and user location It may be characterized in that the above information is an input item with a user weight applied to it.

In addition, companion animal information stored in the companion animal database of the present invention includes animal type, animal photo, gender, breed, salesperson information, health status, animal size, average daily feed value, average required exercise amount, hair loss, and loneliness. It may be characterized in that any one or more characteristic information of the degree of burning is recorded and stored.

In addition, the matching algorithm module of the present invention reflects the weight according to the user's lifestyle of the adoptee database, and uses the information in the companion animal database to rank the closest companion animal according to the user's location, according to the user's income. Companion animal recommendation ranking that compares operating and maintenance costs of companion animals, companion animal recommendation ranking reflecting the nature of companion animal according to user's activity style, companion animal recommendation ranking reflecting the fitness of companion animal according to user's health condition, and user's companion Companion animal recommendation rankings reflecting the behavioral habits of companion animals according to the available animal care time may be listed and provided to the application of the user terminal.

In addition, the present invention may be characterized in that if the user's lifestyle input weight value is changed through the application, the most suitable companion animal ranking may be reconfigured and provided to the application.

In addition, in the present invention, the matching algorithm module may be characterized by applying a matching algorithm created by learning the user lifestyle and personality patterns, life rules, and activity styles inherent in the information of the companion animal database through artificial intelligence machine learning. .

In addition, in the present invention, the management service providing module may be characterized in that it performs a function of extracting service items for each life cycle by analyzing and processing accumulated data based on data of companion animals sold for sale. .

In addition, the management service providing module of the present invention recommends service products for each life cycle of the companion animal according to the lifestyle of the companion animal adopter and the characteristic information of the companion animal, and provides website information or necessary products to the application of the user terminal. It may be characterized in that it provides location information of a service provider that provides it.

In addition, the present invention for solving the above technical problem is a method of using a companion animal recommendation system comprising a user terminal interworking with a companion animal matching server, personal ID issuance through membership registration and user registration through an application of the user terminal Step, inputting a lifestyle for any one or more of the user's location, income, activity style, allergy, and user's commuting time according to the application for each item, adding a weight for each item when entering the lifestyle A weight setting step of setting , transmitting the input lifestyle to the companion animal matching server, a recommendation ranking for each closest companion animal according to the user's location by the matching algorithm module of the companion animal matching server, and the user's income Comparison of operating and maintenance costs of companion animals according to the ranking, the personality ranking of the companion animal according to the user's activity style, the companion animal's fitness ranking according to the user's health condition, and the behavioral habits of the companion animal according to the user's available time to care for the companion animal Listing suitable rankings to receive a companion animal recommendation list, identifying companion animals provided by the matching algorithm module by ranking, selecting companion animals, and after selling or adopting the selected companion animal, the It may be characterized in that it comprises the step of receiving service information for each life cycle of the companion animal by the management service providing module of the companion animal matching server through the application.

In addition, the step of receiving the service product recommendation of the present invention is to receive information on the website of a blog or club that provides major information for each life cycle of the companion animal, or a location map of a service company that provides necessary products. can be characterized.

According to the companion animal recommendation system and method described above, the present invention can minimize social problems leading to divorce or abandonment when adopting a companion animal that is not suitable for them, and can reduce social costs such as operation of abandoned animal shelters. It provides a contributing effect.

In addition, the present invention has the effect of increasing the overall industry of companion animals by providing customized products and service information for each life cycle required for companion animals based on the data of the companion animal when a recommended companion animal is sold. .

In addition, the present invention has the effect of upgrading the matching algorithm by continuously learning the personality patterns, life rules, activity styles, etc. inherent between the user's lifestyle and companion animal data.

In addition, the present invention provides an optimal life cycle service to adoptees by extracting more important product information and service items of service items for each life cycle by analyzing and processing accumulated data based on companion animal data. has the effect of providing.

1 is a block diagram showing the configuration of a companion animal recommendation system according to an embodiment of the present invention.
2 is a flowchart illustrating a companion animal matching method of a companion animal recommendation system according to an embodiment of the present invention.

The terms or words used in the present specification and claims should not be construed as being limited to their ordinary or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. Based on the principle that there is, it should be interpreted as meaning and concept consistent with the technical idea of the present invention.

Therefore, the configuration shown in the embodiments and drawings described in this specification is only the most preferred embodiment of the present invention and does not represent all of the technical idea of the present invention, so various equivalents that can be substituted for them at the time of the present application It should be understood that there may be water and variations.

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

1 is a block diagram showing the configuration of a companion animal recommendation system according to an embodiment of the present invention.

Referring to FIG. 1 , the companion animal recommendation system according to an embodiment of the present invention provides a companion animal recommendation and service in conjunction with a user terminal 100 that requests for a companion animal service by an application and receives the service, and the user terminal 100 . Companion animal matching server 200 supporting the management service is included. The user may have the same meaning as a person who wants to adopt a companion animal or a companion animal adopter.

In the user terminal 100 , the terminal is capable of voice or wireless communication, and a smart device capable of mounting an application capable of receiving information by interworking with the companion animal matching server 200 , or A generic term for computer devices.

The companion animal matching server 200 receives weight information based on the lifestyle of the companion animal adopter from the application of the user terminal and stores the user information. The adopter database 210 lists and registers companion animals and provides companion animal information. Monitoring the life of companion animals sold by the matching algorithm module 230 and the matching algorithm module that recommends companion animals by rank based on the data of the companion animal database 220, the adopter database and the companion animal database, which stores A management service providing module 240 for providing necessary services is included. In addition, the companion animal matching server 200 may include a transmission/reception communication module for network interworking.

The user terminal 100 may be connected to the companion animal matching server 200 by wireless or wired connection through an application in advance for membership registration and user registration.

At the time of membership registration and registration, the user may search for a nearby companion animal providing location and type of companion animal based on his or her location.

The user may record the user's personal lifestyle through the application in order to receive a companion animal recommendation after membership registration and registration.

Lifestyle refers to a list of one or more of the user's gender, income, place of residence, physical data, activity style, allergy status, exercise amount, commuting time, and expected time (care time) that can be spent with pets during the day. As such, in this case, when the user inputs a lifestyle into the application, a weight score may be given according to each item.

The input user lifestyle is transmitted to the companion animal matching server 200 , which is stored in the adopter database 210 for a certain period of time.

In the companion animal database 220, the types of companion animals that can be sold (dogs and cats), gender, breed, salesperson information, health status, animal size, average daily feed price, average required exercise amount, the degree of hair loss, and the degree of loneliness among It is a storage in which one or more characteristic information is recorded and stored.

Here, the companion animal database 220 may include a database of image files such as photos and videos of companion animals.

The photo image may be at least one of an image file showing a front face, a side face, a body, and a tail of the companion animal.

At this time, the matching algorithm module 230 reflects the weight according to the user's lifestyle of the adopter database 210, and the personality of the companion animal database 220, appetite (feed price), hospital expenses, exercise amount, degree of loneliness, hair It performs a function of providing the most suitable type of companion animal to the user based on data such as the degree of falling out to the application of the user terminal 100 by rank.

To this end, in the matching algorithm module 230, the recommendation ranking for each closest companion animal according to the user's location, the ranking comparing the operation and maintenance cost of the companion animal according to the user's income, the personality ranking of the companion animal according to the user's activity style, an example Therefore, it is possible to perform an algorithm that suggests a suitable ranking by reflecting the companion animal's suitability ranking according to the user's health condition, such as an allergic reaction, and the companion animal's behavioral habits according to the user's available time to care for the companion animal.

In this case, the matching algorithm module 230 performs a function of preferentially providing to the application the ranking of companion animals that match the user's lifestyle input weight value.

The user may identify companion animals provided by the matching algorithm module 230 by rank through the application and search for the most suitable type.

In this case, the user may change the user's lifestyle input weight value through the application, and through this, the most suitable companion animal ranking may be reconfigured and provided to the application.

Accordingly, when a companion animal is selected or matched by the matching algorithm module 230, the animal can be adopted for free (animal protection center, home sale, club & online cafe, etc.) or paid (fat shop) for adoption. The URL or location and phone number of animal protection organizations and paid fat shops, information of the corresponding companion animal, etc. may be provided on the application.

In addition, in performing the algorithm of the matching algorithm module 230, a matching algorithm based on artificial intelligence (AI) learning may be applied.

This is an advanced matching made by continuously learning the personality patterns, living rules, activity styles, etc. inherent between the user lifestyle and the companion animal data in presenting an appropriate ranking according to the companion animal database 220 and the input user lifestyle. This is achieved by effectively applying the algorithm.

The management service providing module 240 recommends service products for each life cycle of the companion animal according to the lifestyle of the companion animal adopter and the characteristic information of the companion animal when the recommended companion animal is sold, and provides a function to the application of the user terminal. carry out

To this end, the management service providing module 240 provides useful information (major diseases and medical care, vaccination period, behavioral habits, personality, training method, favorite Food, food not to eat, etc.) to provide information on blogs and club cafes that provide important information about companion animals, or provide information that allows you to link to a website address (URL) that provides useful information can do. This may be provided by listing link information of the website address.

This is when the management service providing module 240 raises a companion animal according to the type and age after live adoption based on the data of the companion animal, and the necessary products (pet supplies, feed, medicine, etc.) and optimizing services (hospitals, training centers, hotels, kindergartens, etc.) and providing map information that prioritizes service providers in the user's vicinity to provide a function to connect when necessary.

In addition, the management service providing module 240 extracts more important product information and service items for each life cycle by analyzing and processing the accumulated data based on the data of the companion animal, and provides products and services through this. A matching function can be provided.

2 is a flowchart illustrating a companion animal matching method using a companion animal recommendation system according to an embodiment of the present invention.

Referring to FIG. 3 , the method of using the companion animal recommendation system is a method of using a companion animal recommendation system including a user terminal interworking with a companion animal matching server, and a personal ID through membership registration and user registration through an application of the user terminal Issuance step (S100), lifestyle input step (S200) of inputting a lifestyle for any one or more of the user's location, income, activity style, allergy, and user's commuting time according to the application by item (S200), life A weight setting step of additionally setting a weight for each item when a style is input (S300), a step of transmitting the entered lifestyle to the companion animal matching server (S400), the user's location by the matching algorithm module of the companion animal matching server Recommendation ranking for each closest companion animal, a ranking comparing the operating and maintenance costs of companion animals according to the user's income, a companion animal personality ranking according to the user's activity style, a companion animal suitability ranking according to the user's health condition, and the user's Companion animal recommendation list provided by listing the companion animal's behavioral habit suitability ranking according to the available time for caring for companion animals (S500), identifying companion animals provided by the matching algorithm module by ranking, and selecting companion animals (S600), and after receiving the sale or adoption of the selected companion animal, a step (S700) of receiving service information for each life cycle of the companion animal recommended by the management service providing module of the companion animal matching server through the application.

In the above steps, the companion animal recommendation list provision step (S500) is based on advanced artificial intelligence (AI) learning by continuously learning the personality patterns, life rules, and activity styles inherent between the user lifestyle and companion animal data. A matching algorithm may be applied.

In addition, in the step of selecting a companion animal (S600), the user can change the user's lifestyle input weight value through the application, and through this, the step of providing a companion animal recommendation list by the matching algorithm module of the companion animal matching server (S500) It can be reconfigured so that the most suitable companion animal rankings can be sent back.

If a companion animal is selected or matched through the step of selecting a companion animal (S600), then the application can be adopted for free (animal protection center, home sale, club or online cafe, etc.) or paid (fat shop). Additional information may be provided through To this end, in the step of selecting a companion animal (S600), a function is added to provide offline location information or online location information (URL) of animal protection centers, home sales, clubs and cafes, as well as location and search information on the map of paid fat shops. can be included as

In addition, the step of receiving service information by life cycle (S700) is useful information (major diseases and medical care, vaccination period, behavioral habits, personality, training method, Favorite food, food not to eat, etc.) and optimizing necessary products and services (hospital, training center, hotel, kindergarten, etc.) This includes receiving information on the club's website or a map of the location of a service provider that provides necessary products.

In the above step (S700), after adopting a companion animal, it provides necessary information (supply, feed & medicine, training method, etc.) A connection function can be provided.

In addition, in the step of receiving service information for each life cycle ( S700 ), the accumulated data based on the data of the companion animal is processed by big data analysis to extract more important information and service items, and information related to products and services is provided through this process. can provide

As described above, in the detailed description of the present invention, preferred embodiments have been described, but those of ordinary skill in the art will not depart from the spirit and scope of the present invention as set forth in the following claims. It will be understood that various modifications and variations of the present invention may be made.

Claims (10)

A companion animal recommendation system having a companion animal matching server connected to a user terminal through a network and providing companion animal matching and recommendation service,
The companion animal matching server,
An adopter database for receiving weight information based on the lifestyle of the companion animal adopter from the application of the user terminal and storing the user information;
A companion animal database that lists and registers companion animals and stores companion animal information;
A matching algorithm module that recommends companion animals by rank based on data of the adopter database and the companion animal database, and
and a management service providing module that monitors the lives of companion animals sold by the matching algorithm module and provides necessary services,
The companion animal adopter's lifestyle is at least one of gender, income, residence, physical data, activity style, allergy status, exercise amount, commuting time, estimated time to spend with companion animal during the day, and location of the companion animal adopter. It is an input item that is weighted for
Companion animal information stored in the companion animal database is any one of animal type, animal photo, gender, breed, seller information, health condition, animal size, average daily feed price, average exercise demand, hair loss, and loneliness. The above characteristic information is recorded and stored,
The matching algorithm module reflects the weight according to the user's lifestyle in the adopter database, and uses the information in the companion animal database to rank the closest companion animal according to the user's location, and the operating and maintenance cost of the companion animal according to the user's income Comparison of companion animal recommendation ranking, companion animal recommendation ranking reflecting the nature of companion animal according to the user's activity style, companion animal recommendation ranking reflecting the fitness of companion animal according to the user's health condition, and the user's companion animal care available time Companion animal recommendation rankings reflecting the behavioral habits of companion animals are listed and provided to the application of the user terminal,
The matching algorithm module applies a matching algorithm created by learning the user lifestyle and personality patterns, life rules, and activity styles inherent in the information of the companion animal database through artificial intelligence machine learning,
The management service providing module performs a function of extracting service items for each life cycle by analyzing and processing accumulated data based on the data of the sold companion animal by big data,
The management service providing module recommends a service product for each life cycle of a companion animal according to the lifestyle of the companion animal adopter and the characteristic information of the companion animal to provide a service company that provides website information or necessary products to the application of the user terminal. A companion animal recommendation system that provides connectable map information. delete delete delete The method according to claim 1,
Companion animal recommendation system, characterized in that when the user's lifestyle input weight value is changed through the application, the most suitable companion animal ranking can be reconfigured and provided to the application. delete delete delete delete delete

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