KR102290601B1 - System for recommending purchase products based on disease diagnosis information of companion animal - Google Patents

Abstract

The present invention relates to a purchase product recommendation system and, more specifically, to a system for recommending a purchase product based on companion animal disease diagnosis information, capable of preventing a companion animal from being harmed by a harmful effect caused by a product for companion animals by automatically recommending a product verified by an expert among various products such as feeds, nutritional supplements, snacks, shampoos and the like, which are essential for looking after companion animals, considering a disease record of the companion animal. To achieve the purpose, the purchase product recommendation system includes: a purchase product recommendation server for automatically recommending a product to be purchased based on received disease diagnosis record information including the age of a companion animal and enabling the recommended product to be purchased online; a customer terminal for transmitting the disease diagnosis record information to the purchase product recommendation server to receive a recommendation for a product to be purchased; and a veterinary clinic terminal for uploading reason information about a recommended or non-recommended product into the purchase product recommendation server in response to the disease diagnosis record information to enable the customer terminal to check the reason information.

Description

Companion animal disease diagnosis information-based purchase product recommendation system {SYSTEM FOR RECOMMENDING PURCHASE PRODUCTS BASED ON DISEASE DIAGNOSIS INFORMATION OF COMPANION ANIMAL}

The present invention relates to a purchase product recommendation system, and more specifically, by automatically recommending products verified by experts among various products such as feed, nutritional supplements, snacks, shampoos, etc. essential for raising companion animals in consideration of the disease history of companion animals. It relates to a purchase product recommendation system based on companion animal disease diagnosis information to prevent a situation in which a product for companion animals can harm companion animals due to a rather harmful effect due to disease.

In general, a companion animal is an animal that lives with people in daily life.

As the number of people living with such companion animals continues to increase, not only animal hospitals, but also the market for companion animal products such as pet food, nutritional supplements, snacks, shampoo, cushions, clothes, toys, pads, diapers, and other hygiene products. It is growing steadily.

As described above, while the companion animal market is rapidly expanding, products related to companion animals are being actively sold in online open markets or dedicated shopping malls in recent years.

However, like humans, companion animals inevitably get sick and receive treatment throughout their lives, and in some cases, they need to exercise, adjust their diet, and take medications continuously during a short period of receiving treatment or, in severe cases, throughout their lives. , At this time, it can be very dangerous to randomly purchase products for a companion animal with a disease without expert advice, because the above-mentioned products that you normally eat or come into contact with may rather aggravate the disease or harm your health. Considering this, it is necessary to come up with a way to support the purchase of products that do not have any problems after the person who keeps the companion animal checks the disease history of the companion animal with a specialist when purchasing products for companion animals.

Republic of Korea Patent Publication No. 10-2020-0029108 Republic of Korea Patent Publication No. 10-2018-0107630

The present invention has been devised to solve the problems of the prior art, and by allowing products verified by experts to be automatically recommended in consideration of the disease history of companion animals among various products used for raising companion animals, The purpose is to provide a purchase product recommendation system based on information on diagnosis of companion animals that can help prevent harmful ingredients from ingesting or coming into contact with companion animals.

In order to achieve the above object, the present invention provides a purchase product recommendation server for automatically recommending a product to be purchased based on the received disease diagnosis history information including the age of the companion animal and allowing the recommended product to be purchased online; a customer terminal for transmitting companion animal disease diagnosis history information to the purchased product recommendation server to receive product recommendations; and a veterinary hospital terminal for uploading reason information on a product to be recommended or not recommended in response to the disease diagnosis history information to a purchase product recommendation server so that a customer terminal can check it.

Here, the disease diagnosis history information is nutritional deficiency, renal failure, heart disease, allergy, patellar dislocation, arthritis, periodontitis, recovery after surgery, atopy, otitis externa, skin disease, disc, bronchial stenosis, obesity, at least any one or more of cataract and diabetes characterized by including.

In addition, the purchase product recommendation server allows the customer terminal to select the age, sex, disease name and disease period diagnosed from the past to the present for the companion animal through a pre-prepared selection box, thereby generating disease history information to generate disease diagnosis history information. It is characterized in that it comprises a module and a text analysis module for generating disease diagnosis history information by analyzing disease information in text format about companion animals transmitted by the customer terminal.

In addition, the purchase product recommendation server recognizes the disease information in voice form transmitted by the customer terminal and converts it into text, and then a voice analysis module for generating disease diagnosis history information in connection with the text analysis module; and an image analysis module for diagnosing a disease of a companion animal by analyzing at least one of images and videos transmitted by the terminal.

Additionally, the purchased product recommendation server relays the behavior information of companion animals received from the customer terminal to the veterinary hospital terminal to provide QnA support module to support QnA and product comparison information for the same product group to the customer terminal. It is characterized in that it comprises a comparison product information providing module for the purpose, and a new product information providing module for providing new product information for education to the member-registered veterinarian terminal.

As described above, the companion animal disease diagnosis information-based purchase product recommendation system according to the present invention can exhibit the following effects.

1. When purchasing products for companion animals, you can automatically and quickly receive feedback on products recommended by experts in the same product group considering the companion animal's disease history.

2. It can prevent pets from ingesting or coming into contact with product ingredients that may have a harmful effect due to disease or past disease

3. Even if companion animal disease information is obtained in various formats such as text/audio/video reception along with checking the checkbox, it can recommend products through its own analysis process.

4. It allows experts to reply to customers' questions about companion animals, and provides training on new products to experts, i.e., veterinarians, anytime, anywhere.

1 is a diagram schematically illustrating a system for recommending purchase products based on information on diagnosis of companion animal disease according to the present invention;
2 is a view showing the main components of a purchase product recommendation server among the purchase product recommendation system based on companion animal disease diagnosis information according to the present invention;
3 is a flowchart illustrating an example of a product purchase process using the companion animal disease diagnosis information-based purchase product recommendation system according to 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. It should be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle that there is.

Therefore, the configuration shown in the embodiments and drawings described in the present specification is only the most preferred embodiment of the present invention, and does not represent all the technical spirit of the present invention, so they can be substituted at the time of the present application It should be understood that various equivalents and modifications may be made.

Hereinafter, a purchase product recommendation system based on companion animal disease diagnosis information according to the present invention will be described with reference to the drawings.

1 is a diagram schematically illustrating a system for recommending purchase products based on information on diagnosis of companion animal disease according to the present invention;

The present invention is basically configured to include a purchase product recommendation server, a customer terminal and a veterinary hospital terminal.

More specifically, the present invention provides a purchase product recommendation server for automatically recommending a product to be purchased based on the received disease diagnosis history information including the age of the companion animal and supporting the purchase of the recommended product online, and a purchase product recommendation By sending companion animal disease diagnosis history information to the server, the customer terminal for receiving product recommendations, and the customer terminal can check the product by uploading the reason information about the product to be recommended or not recommended in response to the disease diagnosis history information to the purchase product recommendation server. It is made to include a veterinary hospital terminal to do so.

The purchased product recommendation server may be constructed to serve as a kind of web server, database server, or mobile server. For example, the processed result may be displayed on a web page through an online network, or required input data may be transmitted through the web page. In addition to simple text, image, sound, video, etc., the web page should be interpreted as including software for performing a specific task, such as a web application, and an application installed on a desktop, laptop, smartphone, tablet PC, etc. It can also be built to provide an interface with

The customer terminal and the veterinary hospital terminal connect to the purchase product recommendation server through the online network to transmit disease diagnosis history information and disease information, respectively, or communicate to handle the process related to the transmission of proprietary information about the product to be recommended or not recommended. These customer terminals and veterinary hospital terminals should be interpreted as including various communication means such as desktops, tablets, netbooks, personal digital assistants (PDAs), portable multimedia players (PMPs), smart phones, wearable smart devices, etc. Various functions provided by the purchased product recommendation server can be executed through the base or separate software/application.

In addition, the online network referred to in the present invention may be a core network integrated with a wired public network, a wireless mobile communication network, or the portable Internet, and various services existing in the TCP/IP protocol and its upper layers, that is, Hyper Text Transfer (HTTP). Protocol), HTTPS (Hyper Text Transfer Protocol Secure), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), etc. , which is not limited to these examples and refers to a comprehensive data communication network capable of transmitting and receiving data in various forms.

FIG. 2 is a diagram illustrating major components of a purchase product recommendation server in a purchase product recommendation system based on companion animal disease diagnosis information according to the present invention.

Hereinafter, details related to the purchased product recommendation server will be described.

<Main Components, Functions and Effects of Purchased Product Recommendation Server>

* Member registration module

- Receive member information such as gender, name, age, resident registration number, occupation, educational background, residence, contact information, etc. from the customer terminal for customer membership registration

- According to the membership system, product recommendations and sales services are provided, and points that can be used for product purchases are proportionally accumulated depending on the number of purchases and purchase amount of the customer, or different discount benefits are provided by classifying customers by grade. may provide

* Product recommendation module

- When disease diagnosis history information such as the type of companion animal, gender, age, disease name, disease period, etc. is received from the customer terminal, it functions to automatically recommend products matched in advance, or by machine learning In response, the product can be automatically recommended by learning the product to be recommended.

- We recommend products such as feed, nutritional supplements, snacks, shampoo, cushions, clothes, toys, pads, diapers, and other hygiene products suitable for use in consideration of the pet's health status from the past to the present.

- It is desirable to obtain advice from experts such as veterinarians for disease diagnosis history information and learning data for product matching or machine learning.

- For example, recommended products can be listed on the customer terminal or displayed in the form of a pop-up window

* Disease history generation module

- It functions to generate disease diagnosis history information by allowing the customer terminal to select the age, sex, disease name, disease period, etc. of the companion animal through the pre-prepared selection box.

- Companion animal disease diagnosis history information includes nutritional deficiencies, kidney failure, heart disease, allergies, patellar dislocation, arthritis, periodontitis, recovery after surgery, atopic dermatitis, otitis externa, dermatitis (specific types of skin diseases include dry keratin, seborrheic keratin, dermatitis, Various diseases such as hair loss, mold, etc.), disc, bronchial stenosis, obesity, cataract, diabetes, etc. etc.), gender, and period of illness are checked by checking the checkbox provided in advance.

- Support for non-expert customers to easily create disease diagnosis history information by resolving the inconvenience of having to write and upload text, audio, video, etc. of disease diagnosis history or disease information

- Experts by checking the history of disease diagnosis and linking with the product recommendation module when purchasing a product to prevent pets from ingesting or coming into contact with ingredients that are unrelated but may be harmful depending on the disease by checking whether the companion animal has a history of disease Recommend products based on opinions

* Text analysis module

- The disease diagnosis history information is generated by analyzing the disease information in text format about the companion animal transmitted by the customer terminal.

- In order to analyze texts that may have random shapes, natural language processing such as morpheme analysis, syntax analysis, and entity name recognition is performed in advance, and in relation to text analysis, classification, clustering, and association are performed. Association rule mining, etc. can be applied to text analysis

- For example, 'classification' refers to classifying only disease diagnosis history information into a predetermined category in a given text. 'Clustering' is a grouping of similar subjects among disease diagnosis history information. / Corresponding to self-learning, related word analysis can be applied as a method of finding correlations between words related to disease diagnosis history information by analyzing the relationships between words appearing in the text.

- In various situations, such as when a customer has difficulties in using the checkbox provided by the disease history generation module or when copying and pasting diagnostic information in text form, it automatically creates disease diagnosis history information and sends it to the product recommendation module. to be delivered

* Voice analysis module

- It recognizes the disease information in voice format about companion animals transmitted by the customer terminal and converts it into text, and then functions to generate disease diagnosis history information in connection with the text analysis module.

- According to the method of recognizing a voice signal through a voice-related file extension or recognizing a voice signal from a video, the disease information in the recognized voice format is converted into text, and then transmitted to the text analysis module to diagnose disease from the textualized disease information. After generating history information, it is transmitted to the product recommendation module.

* Video analysis module

- It is characterized in that it comprises an image analysis module for diagnosing diseases of companion animals by analyzing at least one of images and videos transmitted by the customer terminal.

- Image and video analysis can be performed through the Convolutional Neural Network (CNN) method, where CNN is a kind of artificial neural network that uses convolution operation by mimicking the structure of the human optic nerve. and has the form of Width x Height x Depth), and the biggest feature of such a CNN is that it enables feature extraction/classification by attaching several convolutional layers in front of a general neural network. This allows the classification process to proceed using the existing neural network based on the extracted characteristics.

- Study images related to disease diagnosis history information (including images extracted from videos) and check images, videos, and disease names that are judged to be similar or identical to the same or more to be reflected in disease diagnosis history information

* QnA support module

- Supports Q&A by relaying the behavioral information of companion animals received from the customer terminal to the animal hospital terminal

- For example, your pet has no disease, but has no appetite, is brittle and loses easily, is having a hard time with separation anxiety, chews and destroys furniture, eats feces, what needs after giving birth Allows you to ask questions about pet problems or conditions and get feedback from your veterinarian

* Module for providing comparative product information

- Provides product comparison information for the same product group to customer terminals

- Experts (veterinarians) write product comparison information for the same product group in the form of text, audio, video, etc. and upload it so that customers can check it, which can help customers to understand the pros and cons of each product and make a purchase.

* New product information provision module

- Function to provide new product information for education to registered veterinarian terminals

- In order to automatically recommend products to customers, it is necessary to match products in advance in response to disease diagnosis history information or input learning data for machine learning. Because it is desirable to enter directly or indirectly, when a new product is released or when a new product is sold on the purchase product recommendation server, we support veterinarians to acquire various information such as product-related ingredients, materials, functions, and handling methods.

* Disease diagnosis information collection module

- At the request of the customer's terminal, the companion animal's disease diagnosis certificate is collected from the terminal of the veterinary hospital, and the disease diagnosis history information is generated through the text analysis module of the collected disease diagnosis form in the form of a document, so that the customer can use the product reflecting the disease diagnosis history of the companion animal. to be recommended

- Since the veterinary hospital visited by the customer while raising a companion animal has a history of disease diagnosis, when a customer terminal requests issuance of a disease diagnosis through the veterinary hospital terminal, a reply is received and disease diagnosis history information is generated.

- For reference, considering that each companion animal can be given a unique identifier through the companion animal registration system, simply transmitting the unique identifier to the veterinary hospital terminal may allow the companion animal to receive a disease diagnosis certificate.

3 is a flowchart illustrating an example of a product purchase process using the companion animal disease diagnosis information-based purchase product recommendation system according to the present invention.

Hereinafter, an example of a product purchase process using the companion animal disease diagnosis information-based purchase product recommendation system according to the present invention will be described with reference to FIG. 3 .

1. Customer membership registration

2. Companion animal disease diagnosis history information generation (created based on the check box checked by the customer, or generated by automatically analyzing disease information such as text/audio/video provided by the customer)

3. Product recommendation according to customer's selection of product group to purchase (You can check the reason for product recommendation uploaded by an expert)

4. Proceed to purchase recommended products (customer level that can be paid or benefited from points can be adjusted in proportion to the number of product purchases, purchase amount, etc.)

In the above description of the present invention with reference to the accompanying drawings, a specific shape and direction have been mainly described, but the present invention can be variously modified and changed by those skilled in the art, and such modifications and changes are included in the scope of the present invention. should be interpreted as

Claims (9)

a purchase product recommendation server for automatically recommending a product to be purchased based on the received disease diagnosis history information including the age of the companion animal and allowing the recommended product to be purchased online;
a customer terminal for transmitting companion animal disease diagnosis history information to the purchased product recommendation server to receive product recommendations;
A veterinary hospital terminal for uploading reason information about a product to be recommended or not recommended in response to the disease diagnosis history information to a purchase product recommendation server so that a customer terminal can check it;
The disease diagnosis history information includes at least one or more of nutritional deficiency, renal failure, heart disease, allergy, patellar dislocation, arthritis, periodontitis, recovery after surgery, atopic dermatitis, otitis externa, skin disease, disc, bronchial stenosis, obesity, cataract, and diabetes. ,
The purchase product recommendation server has a disease history generation module for generating disease diagnosis history information by allowing the customer terminal to select the age, sex, disease name and disease period diagnosed from the past to the present for the companion animal through a pre-prepared selection box. provided,
The purchase product recommendation server collects the disease diagnosis certificate of the companion animal from the veterinary hospital terminal at the request of the customer terminal, and generates disease diagnosis history information through the text analysis module of the collected disease diagnosis form in the document format so that the customer can diagnose the disease of the companion animal. A disease diagnosis information collection module is provided to receive product recommendations reflecting the history,
The purchase product recommendation server extracts the characteristics of at least one of the images and videos transmitted by the customer terminal through convolutional layers through the CNN (Convolutional Neural Network) method, and analyzes the extracted characteristics based on the characteristics of the companion animal. Equipped with an image analysis module for diagnosing a disease,
The purchase product recommendation server includes a text analysis module for generating disease diagnosis history information by analyzing disease information in text format about companion animals transmitted by the customer terminal,
The purchase product recommendation server includes a voice analysis module for recognizing and converting disease information in voice form about companion animals transmitted by the customer terminal into text, and then generating disease diagnosis history information in connection with the text analysis module,
The text analysis module performs natural language processing using at least one of morpheme analysis, syntax analysis, and entity name recognition on a text having a random shape, and then classifies, clusters, and related words only the disease diagnosis history information into a predetermined category. Analyze the text by at least one of the analysis,
The classification of the text analysis classifies the disease diagnosis history information into a specific category of at least any one of age, sex, disease name, and disease period related to companion animals, and clustering of the text analysis is a similar subject among the disease diagnosis history information. If the grouping corresponds to supervised learning of grouping each other and classifying documents through a learning process, the clustering corresponds to unsupervised learning/autonomous learning in which similar information is grouped directly without a learning process, and related word analysis during the text analysis analyzes the relationship between words appearing in the text to find the correlation between words related to disease diagnosis history information,
The purchase product recommendation server is based on the disease diagnosis history information by machine learning method among feeds, nutritional supplements, snacks, shampoos, cushions, clothes, toys, pads and diapers in consideration of the health status of companion animals from the past to the present. and a product recommendation module for automatically recommending at least one or more products,
The purchase product recommendation server includes a comparison product information providing module for providing product comparison information for the same product group to a customer terminal,
The purchase product recommendation server is a companion animal disease diagnosis information-based purchase product recommendation system, characterized in that it includes a new product information providing module for providing new product information for education to a registered member veterinarian terminal.
delete delete delete delete delete The method according to claim 1,
The purchase product recommendation server includes a QnA support module for supporting the QnA response by relaying the behavior information of the companion animal received from the customer terminal to the veterinary hospital terminal. system.
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