KR20210061600A - Personalized plants recommendation system - Google Patents

Abstract

Provided is a customized plant recommendation system. The system may comprise: an information input part that receives subjective information and objective information from a user; and a control part that recommends a customized plant to the user according to a priority in consideration of the user's personal tendency information based on plant recommendation information. Therefore, the present invention is capable of allowing plants to be grown and managed more easily.

Description

Customized plant recommendation system {PERSONALIZED PLANTS RECOMMENDATION SYSTEM}

The present invention relates to a customized plant recommendation system that recommends a customized plant to a user according to priorities in consideration of personal preference information of a user based on psychological typology.

In general, a potted plant is a place where plants cannot be grown, such as indoors without soil or in a narrow space in an urban house, which can contain soil or other cultured soil to bring nature into the room or to cultivate plants of ornamental value. Says courage.

In other words, all containers that can hold soil for plant cultivation can be pots, and cultivating plants using pots 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 such a container, and therefore, in the following description, a 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, as well-being and LOHAS (Life Of Health And Sustainability)-type cultural life progress rapidly, consumption of flower crops is also increasing throughout the year.

For this reason, the demand for potted plants is also increasing significantly, which also raises the task of effective management of pots.

In other words, a potted plant is beneficial for the growth of the corresponding plant only when water is supplied at a certain period, but this is only common sense for cultivation of pots. Do. Therefore, the plant can grow healthily only if the water supply cycle and supply amount, sunlight time, temperature, and humidity are properly adjusted according to the pollen. If this operation is not smooth, the plant will not grow well, and will rot or die. It is done.

However, unless you are an expert who has specialized in learning about plants, you are not familiar with the characteristics of each plant described above, and this is a matter in common not only to general buyers who purchase and grow potted plants, but also to pot sellers who operate pot shop stores. . In addition, this leads to a phenomenon in which people avoid cultivation of potted plants by giving people the perception that cultivation of potted plants is difficult, or that only pots of some plants that are easy to cultivate 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 system for recommending customized plants.

The problem to be solved by the present invention relates to a customized plant recommendation system that recommends a customized plant to a user according to priority in consideration of the user's personal preference information based on psychological typology.

The problem to be solved by the present invention relates to a customized plant recommendation system that visually provides customized plants 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 that are 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 receiving subjective information and objective information from a user; And a control unit that recommends a customized plant to the user according to priority in consideration of the user's personal preference information based on the plant recommendation information. It may include.

In an embodiment of the present invention, the control unit includes: an information analysis module for extracting the personal preference information by analyzing the subjective information based on the plant recommendation information; A propensity classification module for classifying the customized plants in consideration of the personal propensity 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. It 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 according to a recognition function, a judgment function, and an attitude type using a psychological typology.

In an embodiment of the present invention, the propensity classification module may extract the recognition function and the determination function in consideration of introverts and extroverts.

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

In one embodiment of the present invention, the disposition classification module classifies the personal disposition information into an introverted sensation type, an extroverted sensation type, an introverted intuition type and an extroverted intuition type in consideration of the recognition function and the attitude type, and the 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, the information providing unit for visually providing recommended image information so that the user can select the customized plant; It may include.

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

In one embodiment of the present invention, the image sorting module is influenced by the group attribute in a parent stacking context based on the Z-index attribute, and the recommendation is made according to a stacking order of children. Image information can be sorted in order of priority.

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

In addition, a customized plant recommendation system according to an embodiment of the present invention for solving the above-described problem includes an information analysis unit for extracting personal preference information by analyzing subjective information provided from a 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 preference information based on the subjective information. A propensity classification module to classify; It may include.

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

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

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

According to the present invention, plants can be grown and managed more easily by providing customized plants to users in consideration of personal preferences.

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

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

Advantages and features of the present invention, and a method 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 a variety of different forms. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terms used in the present specification are for describing exemplary embodiments and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used herein, “comprises” and/or “comprising” do not exclude the presence or addition of one or more other elements other than the mentioned elements. Throughout the specification, the same reference numerals refer to the same elements, and "and/or" includes each and all combinations of one or more of the mentioned elements. Although "first", "second", and the like are used to describe various elements, it goes without saying that these elements are not limited by these terms. These terms are only used to distinguish one component from another component. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical idea of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used with meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

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

1 is a conceptual diagram illustrating a customized plant recommendation system according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating a detailed configuration of the customized plant recommendation system shown in FIG. 1, and FIG. 2(a) is It is a diagram for explaining a detailed configuration of a user terminal, and FIG. 2(b) is a diagram for explaining a detailed configuration of a 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 can support various telecommunication methods, for example, Wireless LAN (WLAN), Digital Living Network Alliance (DLNA), Wireless Broadband: Wibro, and Wimax (World Interoperability for Microwave Access: Wimax). ), Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (EV-DO), Wideband CDMA (WCDMA) , 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. The method may be applied.

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

As shown in FIG. 2, such a 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. It 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. User information may be directly input by the user through an input device (not shown) such as a mouse or keyboard.

User information may include objective information and subjective information. Objective information may include physical environment information and plant involvement information. Physical environment information may include actual customized plant cultivation sites including temperature, humidity, insolation, air pollution level, and moisture content of cultivated soil, etc., and plant involvement information includes plant regeneration experience, plant management time, etc. However, it is not limited thereto.

Subjective information may include, but is not limited to, user's attitude type information about plants, user's personal propensity information about plants, including user's plant recognition function and user's ability to judge plants. .

In this embodiment, subjective information is classified into extra-version-intro-version according to the type of attitude toward plants of the user based on the psychological typology of Carl G, Jung, and the user's Depending on the propensity to perceive plants, it is divided into sensing-intuiting, and according to the user's propensity to judge plants, from the form of thinking-feeling to the user's plants. It can be a form of analyzing psychological tendencies.

For example, subjective information may include personal disposition information including introverted sensory type, introverted intuition type, introverted thinking type, introverted emotional type, extroverted sensory type, extroverted intuition type, extroverted thinking type and extroverted emotional 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 psychological typology, and includes plant basic information including plant type, plant cultivation information, and plant purchase information, and recommended video information consisting of images or videos in response to the basic plant information. can do.

The customized plant selection information may be information of a plant selected by a user among plants recommended according to priority by matching objective information and subjective information of 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 through the screen so that the user can visually check the customized plant based on the received plant recommendation information.

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

Such a storage unit 130 may store a plurality of application programs or applications driven by 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 includes a Z-index attribute, which is a default value of the order of recommended image information arranged on a web page, based on subjective information and objective information, and an object of the same group to a group attribute grouped to have the same group attribute. Accordingly, the priority of the recommended video information can be determined.

The image sorting module 1410 may set the group attribute as a priority over the Z-index attribute to sort the subjective information and recommended image information corresponding to the objective information according to the priority. In this case, the image sorting module may sort the recommended image information in priority order according to the stacking order of children under the influence of the group attribute within the parent stacking context based on the Z-index attribute.

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

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

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

The information analysis module 1500 may extract personal preference 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 a customized plant in consideration of objective information based on the plant recommendation information.

Such a user control unit 150 may generate customized plant selection information by recommending a customized plant to a user according to priority in consideration of the user's personal preference 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/received to and from 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) running 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, the operation state of the management server 20, and data transmitted and received between the user terminal 10 and the management server 20 through a screen. Can be monitored. That is, by checking the state of use of the user terminal 10 in real time, it is possible to provide more confidence to the user by making it convenient for the user to use.

The management and control unit 230 may generate customized plant selection information by matching user information and customized plant selection information. Although it has been described that deep learning is used in the present 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 receiving user information from the user terminal 10, the management and control unit 230 provides a customized plant to the user according to priority in consideration of the user's personal preference information based on the customized selection information. You can create customized plant selection information.

The 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 diagram illustrating 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 the psychological typology and basic plant information.

In the present embodiment, the plant recommendation information may include recommended image information composed 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 pre-proceed in the membership registration step in order to use the customized plant recommendation system, but it is also possible to use the customized plant recommendation system once by entering 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 launched in real time on a screen for inputting user information. In the present disclosure, the advertisement window is shown to be launched at the bottom of the screen, but the present disclosure is not limited thereto, and may be launched at the same time at the side or at the top or at the side and at the bottom, or between input windows or as a pop-up window. In this case, the advertisement including an image, a video, a link to an advertisement web page, etc. may be an advertisement related to plants, but is not limited thereto.

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

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

Next, the user terminal 10 may analyze 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 objective information provided from the user.

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

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

Specifically, recommended image information may be provided visually 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 priority in consideration of the user's personal preference information based on the plant recommendation information (S150). Accordingly, the user terminal 10 is matched with objective information and subjective information of user information based on the plant recommendation information, and generates customized plant selection information including information of plants selected by the user among plants recommended according to 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 customized plants shown in FIG. 3, FIG. 6 is a view showing a screen for collecting objective information shown in FIG. 5, and FIG. 7 is a subjective information shown in FIG. 5. FIG. 8 is a diagram illustrating a screen for collecting images, and FIG. 8 is a diagram illustrating a screen for visually providing recommended image information shown in FIG. 5.

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

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

For example, in the case of objective information, the user terminal 10 answers 0 times / 1-5 times based on 3 months through the question'How many plants have you grown?' shown in FIG. 6(a). / Other information is collected, and the living room / veranda / rooftop / other information is collected through the question'Where is the space to place your plants?' shown in Fig. 6(b), and Fig. 6(c) Collecting good / bad / normal / other information through the question of'how is the degree of sunlight exposure in the space where your plants are placed?' shown in Figure 6(d) and frequently managing the plants 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 is shown in Fig. 7(a),'If there is a garden in your space. In response to the question,'What kind of plant would you like to grow', we collected information on plants with pointed and sharp leaves / plants with large and nice leaves / plants with round and soft leaves / plants with thin and lush leaves, and FIG. 7 ( b) As shown in'If you received a nice flower pot. How would you like to behave?” to acquaintances with pretty plants and keep them in a corner of your room / take pictures in a nice composition and share them on social media / find out the lowest prices on the Internet, and write them on a second-hand sale site / plant a pretty flower to be friendly You can collect information about gifts from friends or beloved parents.

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 customized plants. (S220).

Specifically, since the question of FIG. 6(a) is a question confirming the overall level of experience with the plant, the plant can be classified as a customized plant in consideration of the difficulty level. For example, a user who selects '0' may classify a plant with easy difficulty as a custom plant, and a user who selects '1-5' may classify a plant with normal difficulty as a custom 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, it is possible to classify the plant as a customized plant according to the function or characteristic of the plant. For example, a user who selects'living room' may classify an air purification plant and/or an oxygen generating plant as a custom plant, and a user who selects'Veranda and rooftop' may classify an outdoor plant as a custom plant.

In addition, since the question of FIG. 6(c) is a question for confirming an element influencing the space in which the plant is placed, it is possible to classify the plant as a customized plant according to the light conditions. For example, a user who selects'Good' classifies sunny plants as custom plants, a user who selects'bad' classifies shade plants as custom plants, and users who select'Normal' classify half-flowered plants as customized plants. Can be classified.

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

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

Specifically, since the question of FIG. 7(a) is a question that confirms the user's personal preference information, the user's perception of the plant and the user's judgment on the plant are divided to identify the user's perception of the plant and the user's plant. The judgment can be classified and classified as a customized plant. For example, a user who selects'plant with sharp and sharp leaves' has a strong judgment based on logical thinking, so the corresponding plant is classified as a custom plant, and the user who selects'plant with large and nice leaves' is intuitive. Since human information recognition is strong, plants corresponding to this are classified as customized plants, and users who select'plants with round and soft leaves' can make judgments based on emotional thinking, so plants corresponding to them can be classified as customized plants. Users who select'plants with large and nice leaves' have strong intuitive information recognition, so the corresponding plants are classified as customized plants, and users who select'plants with thin and lush leaves' have sensational information recognition. Since it is possible, plants corresponding thereto can be classified as customized plants.

In addition, since the question of FIG. 7(b) is a question for confirming the user's attitude type information, the user's attitude toward the plant can be classified as a customized plant. For example, a user who chooses ``Keep it in one corner of my room with pretty plants and manage it carefully'' has a strong introversion, so the corresponding plants are classified as customized plants, and ``take pictures in a nice composition and share them on social media''. The user who selects is highly extroverted, so the corresponding plant is classified as a customized plant, and the user who selects'Find the lowest price on the Internet and list it on a used for sale site' has a strong introverted tendency. A user who classifies as a customized plant and selects'Plant a pretty flower to give a gift to a close friend or a beloved parent' has a strong extroverted tendency, and thus can classify a plant corresponding thereto as a customized plant.

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

Specifically, the user terminal 10 may recommend customized plants classified in consideration of physical environment information, plant involvement information, and user's personal preference 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 the personal orientation information is introverted and intuitive, plants with an intuitive appearance, plants with low difficulty that do not have difficulty in raising, and plants known to the public are recommended. Plants with high difficulty and plants that are not popular are recommended.For introverted thinking, plants with sharp leaves, plants with low difficulty without difficulty in raising, and plants with functional advantages are recommended. Plants with sharp leaves, plants with relatively high difficulty, and plants with functional advantages are recommended.For introverted sentiment types, plants with round and smooth curves, plants with relatively high difficulty, plants with scents , Plants with functional advantages are recommended.For extroverted emotional types, plants with round and soft curves, plants with low difficulty that do not have difficulty in raising, and plants known to the public are recommended.For introverted sensory types, thin and lush plants are recommended. Plants with leaves, plants with relatively high difficulty, and plants with a peculiar appearance are recommended.For extroverted sensory types, plants with thin and lush leaves, popularly known plants, plants with scents, and functional advantages can be recommended. .

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. Software modules include 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 on any type of computer-readable recording medium well known in the art to which the invention pertains.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features. You will be able to understand. Therefore, the embodiments described above are illustrative in all respects, and should be understood as non-limiting.

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

Claims (14)

An information input unit for receiving subjective information and objective information from a user; And
A control unit for recommending customized plants to the user according to priority in consideration of the user's personal preference information based on the plant recommendation information; Containing, customized plant recommendation system. The method of claim 1,
The control unit,
An information analysis module for extracting the personal preference information by analyzing the subjective information based on the plant recommendation information;
A propensity classification module for classifying the customized plants in consideration of the personal propensity 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; Containing, customized plant recommendation system. The method of claim 2,
The information analysis module,
A customized plant recommendation system for extracting physical environment information and plant involvement information by analyzing the objective information provided by the user. The method of claim 1,
The propensity classification module,
A customized plant recommendation system that classifies the personal orientation information according to recognition function, judgment function, and attitude type using psychological typology. The method of claim 4,
The propensity classification module,
A customized plant recommendation system for extracting the recognition function and the judgment function in consideration of introverted tendency and extroverted tendency. The method of claim 5,
The propensity classification module,
A customized plant recommendation system that extracts the attitude type in consideration of logical thinking, intuitive thinking, emotional thinking, and sensory thinking. The method of claim 6,
The disposition classification module classifies the personal disposition information into an introverted sensory type, an extroverted sensory type, an introverted intuition type and an extroverted intuition type in consideration of the recognition function and the attitude type,
The propensity classification module classifies the personal propensity 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. The method of claim 2,
An information providing unit visually providing recommended image information so that the user can select the customized plant; Containing, customized plant recommendation system. The method of claim 8,
The information providing unit,
According to the Z-index attribute, which is a default value of the order of recommended image information arranged on the web page for the subjective information and the objective information, and a group attribute in which objects of the same group are grouped to have the same group attribute, A priority determining module for determining a priority; And
An image sorting module configured to set the group attribute as a priority over the Z-index attribute to arrange the subjective information and the recommended image information corresponding to the objective information according to a priority; Containing, customized plant recommendation system. 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 a stacking order of children under the influence of the group attribute within a parent stacking context based on the Z-index attribute. The method of claim 1,
A management server generating the plant recommendation information; A customized plant recommendation system further comprising a. An information analysis unit for extracting personal preference information by analyzing subjective information provided from a user; And
In consideration of the subjective information of the user, including a control unit for recommending a customized plant to the user according to the priority,
The information analysis unit,
A propensity classification module for classifying the customized plants in consideration of the personal propensity information based on the subjective information; Containing, customized plant recommendation providing system. The method of claim 12,
The propensity classification module,
A system for providing personalized plant recommendation, for classifying the personal disposition information for a recognition function, a judgment function, and an attitude type into a plurality of user psychological types using psychological typology. A computer program stored in a computer-readable recording medium to be combined with a computer that is hardware to implement the system of any one of claims 1 to 13.

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