KR102312180B1 - Personalized plants recommendation system - Google Patents

Abstract

A customized plant recommendation system is provided. The system includes an information input unit for receiving subjective information and objective information from a user; and a control unit for recommending a customized plant to the user according to priority in consideration of the user's personal tendency information based on the plant recommendation information; may include.

Description

Customized plant recommendation system {PERSONALIZED PLANTS RECOMMENDATION SYSTEM}

The present invention relates to a customized plant recommendation system for recommending a customized plant to a user according to a priority in consideration of the user's personal tendency information based on the psychological typology theory.

In general, potted plants are plants that can contain soil or other cultured soil to bring nature into the room or to grow plants of ornamental value in places where plants cannot be grown, such as indoors without soil or a narrow space in a city house. say courage.

In other words, any container that can contain soil for plant cultivation can be a pot, and cultivating a plant using the pot in this way is called pot cultivation. In addition, a potted plant is widely used as a term including a container containing soil and a plant planted in the soil of the container, and therefore, in the following description, the potted plant may be understood as a word referring to a state in which a plant is planted in the soil in the container.

Meanwhile, in recent years, as well-being and LOHAS (Lifestyle Of Health And Sustainability) type of cultural life progress rapidly, the consumption of flower crops is also increasing year-round.

For this reason, the demand for flowerpots is also greatly increasing, which also raises the task of effective management of flowerpots.

In other words, potted plants need to be supplied with water at regular intervals to benefit the growth of the plants, but this is common sense in pot cultivation. do. Therefore, depending on the potted plant, the water supply cycle and supply amount, sunlight time, temperature, and humidity must be properly adjusted to ensure healthy growth of the plant. will do

However, unless you are an expert who has studied plants professionally, you do not know the characteristics of each plant well. . And, this instills in people the perception that pot cultivation is difficult, leading to a phenomenon in which only potted plants of some plants that are easy to grow or avoid planting are intensively distributed.

Korean Patent Publication No. 10-2017-0101692, 2017.09.06

The problem to be solved by the present invention relates to a customized plant recommendation system.

The problem to be solved by the present invention relates to a customized plant recommendation system for recommending a customized plant to a user according to a priority in consideration of the user's personal tendency information based on the psychological type theory.

The problem to be solved by the present invention relates to a customized plant recommendation system that visually provides a customized plant to a user on a web page.

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

A customized plant recommendation system according to an embodiment of the present invention for solving the above-described problems includes an information input unit for receiving subjective information and objective information from a user; and a control unit for recommending a customized plant to the user according to priority in consideration of the user's personal tendency information based on the plant recommendation information; may include.

In one embodiment of the present invention, the control unit, based on the plant recommendation information by analyzing the subjective information to extract the personal tendency information information analysis module; a tendency classification module for classifying the customized plant in consideration of the personal tendency information based on the plant recommendation information; and a condition classification module for classifying the customized plant in consideration of the objective information based on the plant recommendation information. may include.

In an embodiment of the present invention, the information analysis module may extract physical environment information and plant involvement information by analyzing the objective information provided from the user.

In an embodiment of the present invention, the disposition classification module may classify the personal disposition information into the personal disposition information according to a recognition function, a judgment function, and an attitude type using a psychological type theory.

In an embodiment of the present invention, the disposition classification module may extract the recognition function and the judgment function in consideration of the introverted tendency and the extroverted tendency.

In an embodiment of the present invention, the disposition classification module may extract the attitude type in consideration of logical thinking, intuitive thinking, emotional thinking, and sensory thinking.

In an embodiment of the present invention, the disposition classification module classifies the personal disposition information into an introverted sensing type, an extroverted sensing type, an introverted intuition and an extroverted intuition type in consideration of the recognition function and the attitude type, and The disposition classification module may classify the personal disposition information into an introverted thinking type, an extroverted thinking type, an introverted emotional type and an extroverted emotional type in consideration of the judgment function and the attitude type.

In one embodiment of the present invention, an information providing unit for visually providing recommended image information so that the user can select the customized plant; may include.

In an embodiment of the present invention, the information providing unit sets the Z-index attribute, which is a default value of the order of the recommended image information arranged on a web page for the subjective information and the objective information, and an object of the same group as the same group attribute a ranking module for determining the priority of the recommended image information according to group attributes grouped to have ; and an image sorting module configured to set the group attribute to a priority over the Z-index attribute to align the subjective information and the recommended image information corresponding to the objective information according to the priority. may include.

In one embodiment of the present invention, the image alignment module is influenced by the group attribute within the parent stacking context based on the Z-index attribute, and the recommendation according to the child stacking order (Stacking Order) Image information can be sorted in priority order.

In one embodiment of the present invention, a management server for generating the plant recommendation information; may further include.

In addition, the customized plant recommendation system according to an embodiment of the present invention for solving the above-mentioned problems, the information analysis unit for extracting personal tendency information by analyzing the subjective information provided by the user; and a control unit for recommending a customized plant to the user according to a priority in consideration of the subjective information of the user, wherein the information analysis unit selects the customized plant in consideration of the personal tendency information based on the subjective information a propensity classification module to classify; may include.

In an embodiment of the present invention, the disposition classification module may classify the personal disposition information on a recognition function, a judgment function, and an attitude type into a plurality of user psychological types using a psychological type theory.

In addition, the program according to an embodiment of the present invention is stored in a computer-readable recording medium that is combined with a computer, which is hardware, so as to implement the customized plant recommendation system.

Other specific details of the invention are included in the detailed description and drawings.

According to the present invention, by providing a customized plant to the user in consideration of individual preferences, plants can be more easily cultivated and managed.

According to the present invention, when a user selects a plant on a web page, the user is visually provided with a customized plant, thereby helping to select a plant.

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

1 is a conceptual diagram for explaining a customized plant recommendation system according to an embodiment of the present invention.
FIG. 2 is a view for explaining the detailed configuration of the customized plant recommendation system shown in FIG. 1 .
3 is a view for explaining a method for recommending a customized plant according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a screen for inputting user information shown in FIG. 3 .
FIG. 5 is a view for explaining the step of recommending a customized plant shown in FIG. 3 .
FIG. 6 is a diagram illustrating a screen for collecting the objective information shown in FIG. 5 .
FIG. 7 is a diagram illustrating a screen for collecting subjective information shown in FIG. 5 .
8 is a diagram illustrating a screen for visually providing the recommended image information shown in FIG. 5 .

Advantages and features of the present invention, and methods of achieving them, will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

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. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components. Like reference numerals refer to like elements throughout, and "and/or" includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

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

1 is a conceptual diagram for explaining a customized plant recommendation system according to an embodiment of the present invention, FIG. 2 is a diagram for explaining a detailed configuration of the customized plant recommendation system shown in FIG. 1 , FIG. 2(a) is It is a diagram for explaining the detailed configuration of the user terminal, and Figure 2 (b) is a diagram for explaining the detailed configuration of the management server.

1 and 2 , the customized plant recommendation system 1 according to an embodiment of the present invention may include a user terminal 10 and a management server 20 .

Here, the user terminal 10 and the management server 20 may be synchronized in real time using a wireless communication network to transmit and receive data. The wireless communication network may support various long-distance communication methods, for example, wireless LAN (WLAN), DLNA (Digital Living Network Alliance), WiBro (Wireless Broadband: Wibro), and Wimax (World Interoperability for Microwave Access: Wimax). ), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA) , High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTEA), Broadband Wireless Mobile Communication Service (Wireless Mobile) Broadband Service: Various communication methods such as WMBS), BLE (Bluetooth Low Energy), Zigbee, RF (Radio Frequency), LoRa (Long Range), etc. may be applied, but are not limited thereto, and various well-known wireless or mobile communications method may be applied.

The user terminal 10 is a portable user terminal 10, and may be operated using an application program or application in the present disclosure, and such an application program is an external server or management server through wireless communication. It can be downloaded from (20).

As shown in FIG. 2 , the user terminal 10 includes an information input unit 100 , a communication unit 110 , a display unit 120 , a storage unit 130 , an information providing unit 140 , and a user control unit 150 ). may include.

The information input unit 100 may receive user information of a user who is provided with a customized plant from the user through the user terminal 10 . The user information may be directly input by the user through, for example, an input device (not shown) such as a mouse or a keyboard.

User information may include objective information and subjective information. The objective information may include physical environment information and plant involvement information. Physical environment information may include actual customized plant cultivation locations including temperature, humidity, insolation, air pollution, and moisture content of cultivated soil around plants, and plant involvement information may include plant cultivation experience, plant management time, etc. can, but is not limited thereto.

The subjective information may include, but is not limited to, the user's attitude type information on plants, and personal tendency information about the user's plants, including the user's plant recognition function and the user's plant judgment function. .

In this embodiment, subjective information is classified into extra-version-intro-version according to the user's attitude toward plants based on Carl G, Jung's psychological typology, and the user's According to the tendency of perception of plants, it is divided into sensing-intuition, and according to the user's tendency to judge plants, it is divided into thinking-feeling. It may be a form of analyzing psychological tendencies.

For example, the subjective information may include personal orientation information including an introverted sensing type, an introverted intuition type, an introverted thinking type, an introverted feeling type, an extraverted sensing type, an extraverted intuition type, an extraverted thinking type, and an extroverted feeling type. have.

The communication unit 110 may receive plant recommendation information to the management server 20 , and transmit customized plant selection information to the management server 20 .

Here, the plant recommendation information is information generated based on the psychological type theory, and includes basic plant information including plant types, plant cultivation information and plant purchase information, and recommended image information consisting of images or videos in response to the basic plant information. can do.

The customized plant selection information may be information on a plant selected by the user from among plants recommended according to priority by matching the objective information and subjective information of the user information based on the plant recommendation information.

According to an embodiment, the communication unit 110 may receive advertisement information from the management server 20 .

The display unit 120 may output the received plant recommendation information through the screen so that the user can visually check the customized plant.

The display unit 120 is a means for visually and audibly displaying the current operating state of the user terminal 10, and may output symbols, letters, numbers, etc. on the screen according to the operating state. It may include a lamp or a speaker outputting audio.

The storage unit 130 may store data transmitted and received through the communication unit 110 and data supporting various functions of the user terminal 10 .

The storage unit 130 may store a plurality of application programs (or applications) driven in the user terminal 10 , data for operation of the user terminal 10 , and commands. At least some of these application programs may be downloaded from an external server through wireless communication.

The information providing unit 140 may include such a ranking module 1400 and an image alignment module 1410 .

The ranking module 1400 assigns the Z-index attribute, which is the default value of the order of the recommended image information arranged on the web page, and the objects of the same group, to the group attribute grouped to have the same group attribute based on the subjective information and the objective information. Accordingly, the priority of the recommended image information may be determined.

The image sorting module 1410 may set the group attribute to a priority over the Z-index attribute to sort the recommended image information corresponding to the subjective information and the objective information according to the priority. In this case, the image sorting module may be influenced by the group attribute in the parent stacking context based on the Z-index attribute and sort the recommended image information in the priority order according to the child stacking order.

In other words, when providing the recommended image information, the information providing unit 140 may provide the group attribute with priority over the Z-index attribute.

The information providing unit 140 may visually provide recommended image information so that a user can select a custom plant and generate custom plant selection information.

The user control unit 150 may include an information analysis module 1500 , a tendency classification module 1510 , and a condition classification module 1520 .

The information analysis module 1500 may extract personal tendency information by analyzing subjective information based on the plant recommendation information.

The propensity classification module 1510 may classify customized plants in consideration of personal propensity information based on the plant recommendation information.

The condition classification module 1520 may classify the customized plant in consideration of objective information based on the plant recommendation information.

The user control unit 150 may generate customized plant selection information by recommending a customized plant to the user according to a priority in consideration of the user's personal tendency information based on the plant recommendation information.

According to an embodiment, the user control unit 150 may receive customized plant selection information from the management server 20 and provide it to the user.

The management server 20 may include a data communication unit 200 , a database unit 210 , a monitoring unit 220 , and a management control unit 230 .

The data communication unit 200 may transmit plant recommendation information to the user terminal 10 and receive customized plant selection information from the user terminal 10 .

According to an embodiment, the data communication unit 200 may transmit customized plant selection information to the user terminal 10 when the management server 20 receives user information from the user terminal 10 .

The database unit 210 may store data transmitted and received with the user terminal 10 through a wireless communication network. In this case, the customized plant selection information may be updated and stored in real time in response to the customized plant selection information.

The database unit 210 may store data supporting various functions of the management server 20 . The database unit 24 may store a plurality of application programs (application programs or applications) driven in the management server 20 , data for the operation of the management server 20 , and commands. At least some of these application programs may be downloaded from an external server through wireless communication.

The monitoring unit 220 monitors the operation state of the user terminal 10 by user manipulation, the operation state of the management server 20, and data transmitted/received between the user terminal 10 and the management server 20 through the screen. can be monitored. That is, by checking the usage state of the user terminal 10 in real time, it is possible to provide a more reliable feeling to the user by making the user's use convenient.

The management control unit 230 may generate customized plant selection information by matching the user information with the customized plant selection information. Although described as using deep learning in this embodiment, it is not limited thereto, and machine learning techniques such as a random forest and a support vector machine may be used.

According to an embodiment, when the management control unit 230 receives user information from the user terminal 10, based on the customized selection information, the user's personal tendency information is considered in consideration of the user's preference to provide a customized plant. You can create custom plant selection information.

Such a management server 20 may be implemented by a hardware circuit (eg, a CMOS-based logic circuit), firmware, software, or a combination thereof. For example, it may be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.

The operation of the customized plant recommendation system according to an embodiment of the present invention having such a structure is as follows. 3 is a view for explaining a method for recommending a customized plant according to an embodiment of the present invention, and FIG. 4 is a view showing a screen for inputting user information shown in FIG. 3 .

First, as shown in FIG. 3 , the management server 20 may generate plant recommendation information (S100).

Specifically, the management server 20 may generate plant recommendation information by repeatedly learning customized plant selection information matching user information input from a plurality of users based on psychological typology and basic plant information.

In this embodiment, the plant recommendation information may include recommended image information consisting of an image or a video corresponding to the basic plant information.

Next, the user terminal 10 may input user information (S110).

In this case, the user terminal 10 may proceed with the membership registration step in advance to use the customized plant recommendation system, but it is also possible to use the customized plant recommendation system once by inputting only user information without membership registration.

For example, as shown in FIG. 4 , user information including subjective information and objective information may be input. In this case, an advertisement window may be started in real time on the screen for inputting user information. In the present disclosure, although the advertisement window is shown to be launched at the bottom of the screen, the present disclosure is not limited thereto, and may be launched simultaneously or between input windows or as a pop-up window on the side or top or side and bottom. In this case, an advertisement including an image, a video, an advertisement web page link, etc. may be an advertisement related to a plant, but is not limited thereto.

Next, the user terminal 10 may receive the plant recommendation information from the management server 20 (S120).

On the other hand, the management server 20, step S120 of receiving the plant recommendation information from the management server 20 may be executed before the step S110 of inputting user information, or may be omitted.

Next, the user terminal 10 may analyze the user information based on the plant recommendation information (S130).

Specifically, the user terminal 10 may extract physical environment information and plant involvement information by analyzing the objective information provided from the user.

In addition, the user terminal 10 may extract personal tendency information by analyzing the subjective information provided by the user. At this time, subjective information is classified into extra-version-intro-version according to the user's attitude type toward plants based on Carl G, Jung's 　 psychological typology, and According to the tendency of recognition, it is divided into sensing-intuition, and according to the user's tendency to judge plants, it is divided into thinking-feeling, and the user's psychological tendency toward plants. may be in the form of analysis.

Next, the user terminal 10 may visually output the recommended image information for the customized plant classified based on the plant recommendation information (S140).

Specifically, it is possible to visually provide recommended image information so that a user can select a customized plant classified in consideration of subjective information and objective information.

Next, the user terminal 10 may recommend a customized plant to the user according to the priority in consideration of the user's personal tendency information based on the plant recommendation information (S150). Accordingly, the user terminal 10 is matched with the objective information and subjective information of the user information based on the plant recommendation information to generate customized plant selection information including information on the plant selected by the user from among the recommended plants according to the priority. can do.

Finally, the management server 20 may update and store the plant recommendation information using the received customized plant selection information (S160).

Meanwhile, FIG. 5 is a view for explaining the step of recommending a customized plant shown in FIG. 3 , FIG. 6 is a view showing a screen for collecting the objective information shown in FIG. 5 , and FIG. 7 is the subjective information shown in FIG. 5 . It is a view showing a screen for collecting , and FIG. 8 is a view showing a screen for visually providing the recommended image information shown in FIG. 5 .

The user terminal 10 may collect subjective information and objective information from the user information (S200).

Specifically, the user terminal 10 may collect subjective information and objective information from the user through a questionnaire requesting answers to a plurality of questions.

For example, in the case of objective information, the user terminal 10 asks the question 'How many plants have you grown?' shown in FIG. 6(a), 0 times / 1-5 times based on 3 months. / Collects other information, collects living room / veranda / rooftop / other information through the question 'Where is the space to put your plants?' shown in FIG. 6(b), FIG. 6(c) Good / bad / normal / other information is collected through the question 'What is the degree of exposure to sunlight in the space where your plants are placed?' Can you take care of me?' Yes / No / Depending on the situation / Other information can be collected.

And, in the case of subjective information, the user terminal 10 'If there is a garden in your space, as shown in Fig. 7 (a). Through the question 'What kind of plant would you like to grow?', information on plants with sharp and sharp leaves / plants with large and nice leaves / plants with round and soft leaves / plants with thin and lush leaves are collected, and Fig. 7 ( As shown in b) 'If you have received a nice flowerpot as a gift. How do you want to act?' to ask your acquaintances to keep them in one corner of your room with a pretty plant and manage them carefully You can collect information about gifts for friends or loved ones.

Next, when the user information to be analyzed by the user terminal 10 is objective information (S210), the user terminal 10 analyzes the objective information and extracts physical environment information and plant involvement information to classify the customized plants. (S220).

Specifically, since the question of FIG. 6( a ) is a question that confirms the overall level of experience with respect to plants, plants can be classified as customized plants in consideration of difficulty. For example, a user who selects '0' may classify a plant with easy difficulty as a customized plant, and a user who selects '1-5' may classify a plant with a normal difficulty as a customized plant.

In addition, since the question of FIG. 6(b) is a question that directly confirms the physical environment in which the plant is placed, the plant can be classified as a customized plant according to the function or characteristic of the plant. For example, a user who selects 'living room' may classify air purifying plants and/or oxygen-generating plants as customized plants, and a user who selects 'veranda and rooftop' may classify outdoor plants as custom plants.

In addition, since the question of FIG. 6( c ) is a question of confirming factors affecting the space in which plants are placed, plants can be classified as customized plants according to light conditions. For example, a user who selects 'Good' will classify a shady plant as a customized plant, a user who selects 'Bad' classifies a shady plant as a customized plant, and a user who selects 'Normal' will classify a shady plant as a customized plant. can be classified.

And, since the question of FIG. 6( d ) is a question for confirming the degree of involvement in plant management, plants can be classified according to the user's degree of involvement and classified as customized plants. For example, a user who selects 'Yes' classifies plants that require continuous management as customized plants, a user who selects 'No' classifies plants that do not need management as custom plants, and a user who selects 'Depending on the situation' Plants that do not require management can be classified as custom plants.

On the other hand, in the case of analyzing subjective information and classifying the customized plant according to the analysis (S230), the user terminal 10 may analyze the objective information to extract personal tendency information to classify the customized plant (S240).

Specifically, since the question of Figure 7 (a) is a question to confirm the user's personal tendency information, the user's recognition of plants and the user's judgment on plants are divided by the user's recognition of plants and the user's plants. It can be classified as a customized plant by classifying judgment. For example, a user who selects 'a plant with sharp and sharp leaves' has strong logical thinking, so the corresponding plant is classified as a customized plant, and the user who selects 'a plant with large and nice leaves' is intuitive Since the recognition of human information is strong, the corresponding plants are classified as customized plants, and the user who selects 'plants with round and soft leaves' can make judgments based on emotional thinking, so the corresponding plants can be classified as customized plants. The user who selects 'plants with large and nice leaves' has strong intuitive information recognition, so the corresponding plants are classified as customized plants, and the user who selects 'plants with thin and thick leaves' has a strong sense of information recognition. Therefore, it is possible to classify the corresponding plant as a customized plant.

And, since the question of FIG. 7(b) is a question for confirming the user's attitude type information, the user's attitude toward plants can be classified as a customized plant. For example, a user who selects 'Have a beautiful plant in one side of the room and cherish it' has a strong introversion tendency, so classifies the corresponding plant as a customized plant and 'takes a picture with a nice composition and shares it on social media' Since the user who selected ' has a strong extroversion tendency, the corresponding plant is classified as a customized plant. is a customized plant, and a user who selects 'Gift to a close friend or loving parent by planting pretty flowers' has a strong extrovert tendency, so the corresponding plant can be classified as a customized plant.

Next, the user terminal 10 may visually output the classified plants according to the priority in consideration of the physical environment information, the plant involvement information, and the personal tendency information (S250).

Specifically, the user terminal 10 may recommend the classified plants in consideration of the physical environment information, the plant involvement information, and the user's personal tendency information. For example, as shown in FIG. 8 , by visually providing recommended image information, it may be easier for a user to select a plant.

More specifically, if personal orientation information is an introverted intuition type, a plant with an intuitive appearance, a plant with low difficulty to grow, a plant known to the public, etc. are recommended, and in the case of an extroverted intuitive type, a plant with an intuitive appearance, relatively We recommend plants with high difficulty or unpopularity, and if you are an introverted thinking type, recommend plants with sharp leaves, low difficulty plants that are not difficult to grow, and plants with functional advantages. Plants with sharp leaves, plants with relatively high difficulty, plants with functional advantages, etc. are recommended for the case of the introverted emotional type, plants with round and soft curves, plants with relatively high difficulty, and plants with fragrant , plants with functional advantages, etc. are recommended. For the extroverted emotional type, a plant with a round and soft curve appearance, a plant with low difficulty without difficulty to grow, and a popularly known plant are recommended. Plants with leaves, plants with relatively high difficulty, and plants with unusual appearance are recommended, and for the extroverted sensory type, plants with thin and lush leaves, popularly known plants, plants with fragrance and functional advantages, etc. can be recommended. .

The steps of a method or algorithm described in relation to an embodiment of the present invention may be implemented directly in hardware, as a software module executed by hardware, or by a combination thereof. A software module may be a random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any type of computer-readable recording medium well known in the art.

As mentioned above, although embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing its technical spirit or essential features. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

1: Customized plant recommendation system
10: user terminal
20: management server

Claims (14)

A management server that repeatedly learns customized plant selection information matching user information input from a plurality of users based on psychological type theory and basic plant information to generate plant recommendation information composed of images or videos corresponding to the basic plant information; and
a user terminal that receives subjective information and objective information from a user, and recommends a customized plant to the user according to a priority in consideration of the user's personal tendency information based on the plant recommendation information; including,
The user terminal,
Classifying the personal tendency information by applying the subjective information to the psychological type theory based on the plant recommendation information, and classifying the customized plant in consideration of the objective information and the personal tendency information based on the plant recommendation information,
When classifying the personal preference information,
Based on the psychological typology, the subjective information is divided into extroverts or introverts according to the type of attitude toward plants of the user,
Based on the psychological typology, the subjective information is classified into an extraverted sensing type, an introverted sensing type, an extroverted intuition type, or an introverted sensing type according to the user's tendency to perceive plants,
Based on the psychological typology, the personal orientation information is classified by classifying the subjective information into an extroverted thinking type, an introverted thinking type, an extroverted emotional type or an introverted emotional type according to the user's judgmental propensity for plants, customized, Plant recommendation system. delete According to claim 1,
The user terminal,
A customized plant recommendation system for extracting physical environment information and plant involvement information by analyzing the objective information provided from the user. delete delete delete delete According to claim 1,
The user terminal,
A customized plant recommendation system, including; an information providing unit that visually provides recommended image information so that the user can select the customized plant. 9. The method of claim 8,
The information providing unit,
According to the Z-index attribute, which is a default value of the order of the recommended image information arranged on the web page for the subjective information and the objective information, and the group attribute grouping objects of the same group to have the same group attribute, a prioritization module for determining priorities; and
an image sorting module for setting the group attribute to a priority over the Z-index attribute to align the subjective information and the recommended image information corresponding to the objective information according to the priority; Including, a customized plant recommendation system. 10. The method of claim 9,
The image alignment module,
A customized plant recommendation system for arranging the recommended image information in priority order according to the child stacking order under the influence of the group attribute within the parent stacking context based on the Z-index attribute. delete delete delete A computer program stored in a computer-readable recording medium so as to be combined with a computer as hardware, and to implement the system of any one of claims 1, 3, and 8 to 10.

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