KR20220045363A - User device with schedule recommend function related to chatbot and calendar, and operation method thereof - Google Patents

Abstract

Provided is a user terminal for performing a schedule recommendation function related to a chatbot function to automatically recommend schedules with another user to a user and a calendar function, and an operation method thereof. According to the present invention, the method comprises the following steps: providing a plurality of recommended dates and times on the basis of schedule data stored in a calendar function; receiving a first user input selecting at least one of the plurality of recommended dates and times; transmitting the at least one recommended date and time corresponding to the first user input to another user terminal; receiving a schedulable date and time among the at least one date and time from another user terminal; estimating a location of a user corresponding to a schedulable date and time; interactively notifying the schedulable date, time, and location by using a chatbot function; and entering the schedulable date, time, and location into the calendar function when a second user input for the interactive notification is received through the chatbot function.

Description

A user terminal that performs a schedule recommendation function associated with a chatbot function and a calendar function, and an operation method of the user terminal

The present invention relates to a user terminal including a calendar function and a schedule recommendation function associated with a chatbot function, and an operation method of the user terminal, and more particularly, to automatically schedule a schedule between a user and another user in connection with a calendar function and a chatbot function It relates to a method for performing a schedule recommendation function for scheduling with a , and a user terminal thereof.

Recently, services using chatbots have been launched in various industries. A chatbot is a service that allows users to obtain information as if they were having a conversation without running a separate website or app. The fact that existing users can obtain information through the messenger they use is now, as well as Google, Facebook, Microsoft, Telegram, and domestic IT (information technology) companies such as Naver and Daum are introducing chatbot-based messenger platforms. . In particular, in recent years, chatbots that do not just provide information, but appear to be talking with friends, such as random conversations, love counseling, and career counseling, are gaining popularity and the related market is also expanding. However, chatbots still play an ancillary role in providing information and have limitations in providing more active functions.

In addition, as technologies in the Internet, cloud computing, and mobile device fields develop, various cloud-based calendar management services such as Google Calendar, Microsoft Outlook, and iCloud are introduced. However, it still does not deviate from the classic method in that users must schedule separate events and store them in the calendar.

Therefore, in order to improve the usability of the chatbot function, the calendar function, and the like, there is a need for a method to provide a new service by utilizing them.

An object of the present invention is to provide a method for automatically recommending a schedule with another user to a user in connection with a chatbot function and a calendar function, and a user terminal for performing the method.

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.

According to an aspect of the present invention, there is provided an operating method of a user terminal for solving the above problems, the method comprising: providing a plurality of recommended dates and times based on schedule data pre-stored in the calendar function; receiving a first user input for selecting at least one of the plurality of recommended dates and times; transmitting at least one recommended date and time corresponding to the first user input to another user terminal; receiving a schedulable date and time from among the at least one date and time from the other user terminal; estimating the location of the user corresponding to the schedulable date and time; interactively notifying the scheduleable date, time, and location using the chatbot function; and when a second user input for the interactive notification is received through the chatbot function, writing the schedulable date, time, and location to the calendar function.

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

Embodiments of the present invention recommend a schedule between a user terminal and another user terminal, thereby reducing the search cost incurred while the user manually manages the necessary schedule. In addition, embodiments of the present invention can generate an effect of more friendly and convenient scheduling by interfacing with a user through a natural language-based interactive notification and response.

In addition, embodiments of the present invention may provide a service with high intimacy to users by providing a schedule recommendation function in connection with a calendar function, a chatbot function, and a character raising game.

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 diagram for explaining a schedule recommendation function associated with a calendar function and a chatbot function according to an embodiment of the present invention.
2 is a flowchart illustrating an operation of a user terminal according to an embodiment of the present invention.
3 is an example in which a user terminal provides a recommended date and time according to an embodiment of the present invention.
4 is another example in which a user terminal provides a recommended date and time according to an embodiment of the present invention.
5 is a flowchart illustrating a method of processing data of a chatbot function according to an embodiment of the present invention.
6 is a diagram illustrating an example in which a character raising game function is linked with a schedule recommendation function and a calendar function according to an embodiment of the present invention.
7 is a diagram illustrating an example in which a character raising game function is linked with a chatbot function and a schedule recommendation function according to an embodiment of the present invention.
8 is a block diagram of a user terminal according to an embodiment.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present 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. In this specification, 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.

In this specification, a user terminal means a hardware device including a wireless communication function including at least one processor, and may be understood as encompassing a software configuration operating in the corresponding hardware device according to an embodiment. For example, a user terminal may be understood as meaning including a smartphone, a mobile phone, a hand-held device, a tablet PC, a desktop, a notebook, and a user client and application running on each device, and also However, the present invention is not limited thereto.

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

Each of the steps described in this specification is described as being performed by the terminal, but the subject of each step is not limited thereto, and at least a portion of each step may be performed in different devices according to embodiments.

1 is a diagram for explaining a schedule recommendation function associated with a calendar function and a chatbot function according to an embodiment of the present invention.

The user may execute a service in which a calendar function, a chatbot function, and a schedule recommendation function are operated in connection with each other through an application or website pre-installed in the user terminal 10 . In particular, the schedule recommendation function according to an embodiment of the present invention can collect and analyze information about a user's schedule, location, taste, etc. from the calendar function and the chatbot function, and synthesize the information to recommend a schedule to the user. To this end, the user terminal 10 may perform machine learning by transmitting data while the calendar function, the chatbot function, and the schedule recommendation function are respectively performed to a server (not shown). That is, the user terminal 10 may generate a recommendation schedule based on output values of a machine-learned neural network. In addition, the user terminal 10 may interactively notify the recommended schedule through a chatbot function associated with the schedule recommendation function, and receive an interactive response (schedule confirmation or modification) thereto. Here, the interactive notification may be to provide the contents of the recommendation schedule in natural language.

In particular, the schedule recommendation function of the present invention communicates with other user terminals 20 to schedule schedules by synthesizing information on schedules, locations, tastes, etc. between the user and other users. Furthermore, the schedule recommendation function of the present invention may be linked to a character raising game to perform a schedule recommendation function using a character of the game.

Hereinafter, a calendar function, a chatbot function, a character raising game, and a schedule recommendation function related thereto of the present invention will be described in detail with reference to FIGS. 2 to 7 .

2 is a flowchart for explaining the operation of the user terminal 10 according to an embodiment of the present invention. In FIG. 2 , the operation of the user terminal 10 for recommending a schedule by communicating with another user terminal 20 will be described in detail.

The user terminal 10 provides at least one recommended date and recommended time based on data pre-stored in the calendar function (S210). In this case, the calendar function is a program in which the user's schedule information is stored, and schedule data for the past or future date and time, location, place, person, event (taste), etc. may be stored.

The user terminal 10 may extract a date and time without a schedule within a predetermined period (eg, one week, two weeks, or one month) from the calendar. Also, the user terminal 10 may analyze the user's schedule pattern from the schedule data previously stored in the calendar function. For example, the user terminal 10 classifies the time, day, week, month, etc., in which the user has a schedule within a certain period of time, day, week, month, etc. The recommendation date and the recommendation time may be determined based on the month or the like.

Alternatively, the user terminal 10 may transmit the schedule data pre-stored in the calendar to the server, and receive the recommended date and recommended time as a result of the neural network in which the schedule data is machine-learned. That is, the neural network may be a neural network that has been trained in advance to output a result value for a time, day, week, month, etc., when the user is most likely to schedule a schedule based on the user's schedule pattern. In this case, the user terminal 10 may extract schedule data from the natural language input history (ie, user input history) stored in the chatbot function, and machine-learning it together with the schedule data. A method in which the user terminal 10 extracts schedule data from the self-language input history will be described later with reference to FIG. 5 .

Meanwhile, the user terminal 10 may provide a plurality of recommended dates and recommended times through a graphical user interface (GUI) 300 as shown in FIG. 3 . In this case, dates and times that have other schedules or are not preferred may be provided in an inactive state ( 310 ) or may be provided in a blind state, but is not limited thereto.

Alternatively, unlike in FIG. 3 , the user terminal 10 may interactively notify a plurality of recommended dates and recommended times using a chatbot function. That is, as shown in FIG. 4 , the user terminal 10 may provide a natural language message including a recommended date and a recommended time to the chatting window 400 as a form of conversation with the user in the chatbot function.

Referring back to FIG. 2 , the user terminal 10 receives a first user input for selecting at least one from among a plurality of recommended dates and recommended times ( S220 ). That is, the user terminal 10 may receive a user input for selecting at least one from the GUI or may receive an interactive response (eg, message, voice, etc.) in a chatting window through a chatbot function.

The user terminal 10 transmits at least one recommended date and time corresponding to the first user input to the other user terminal 20 ( S230 ). The other user terminal 20 may perform the operations of steps S210 and S220 described above. However, the other user terminal 20 may perform step S210 based on the recommended date and time provided from the user terminal 10 . The user terminal 10 receives a schedulable date and time (ie, a schedulable date and time) from the other user terminal 20 ( S240 ). If there are a plurality of schedulable dates and times received from other user terminals 20 , the user terminal 10 may select one of them. This can be done by interactive notification and response in the chat window through the chatbot function, and one can be automatically selected based on the user's schedule pattern.

Meanwhile, the order of steps S220 to S240 described above may be changed. For example, the user terminal 10 may first perform steps S230 and S240 and then perform step S220. In this case, the user terminal 10 may select a schedulable date and time from among the dates and times previously determined by the other user terminals 20 .

Next, the user terminal 10 estimates the location of the user corresponding to the schedulable date and time (S250). The user terminal 10 may determine the location of the user corresponding to the date and time based on the user's movement pattern previously learned from the past or future location and/or location data stored in the calendar and chatbot function. Alternatively, the user terminal 10 may estimate the location of the user based on a meeting location with another user terminal 20 in the past, another schedule location on a schedulable date, and the like.

Alternatively, the user terminal 10 stores the user's movement route data when the calendar and chatbot functions are activated, and uses a pre-learned movement route pattern based on the stored movement route data, and the user's daily and/or hourly movement routes may be estimated, but is not limited thereto.

In addition, the user terminal 10 may search for and provide a place suitable for the user's taste in the above location based on the user's taste pattern pre-learned from past or future event data stored in the calendar function and the chatbot function. .

The user terminal 10 interactively notifies the scheduleable date, time, and location (and/or place) using the chatbot function (S260). In this case, the interactive notification may be to provide a natural language message including the date, time, and location (and/or place) in the chatting window, as described above with reference to FIG. 4 . When the second user input for the interactive notification is received from the user (S270), the user terminal 10 writes information about the selected date, time, and location (and/or place) in the calendar function (S280). In this case, the second user input is an interactive response in the chat window through the chatbot function, and may be a message or a voice.

If an interactive response requesting to adjust a location (or place) to the interactive notification is received from the user, the user terminal 10 recommends another location (or place) or selects a desired location (or place) from the user you can request

Meanwhile, steps S210 to S280 may be initiated when the user inputs an interactive query requesting a schedule with another person in a chatting window through a chatbot function. In this case, the user terminal 10 may analyze the interactive query to specify another person, and then search for another user terminal 20 corresponding to the other person based on the address book function of the user terminal 10 .

As described above, the embodiments of the present invention recommend a schedule between the user terminal 10 and another user terminal 20 to reduce the search cost incurred while the user manually manages the necessary schedule. In addition, embodiments of the present invention can make scheduling more friendly and convenient by interfacing with a user through a natural language-based interactive notification and response.

5 is a flowchart illustrating a method of processing data of a chatbot function according to an embodiment of the present invention. As described above, the chatbot function receives a natural language response or query from a user, and provides various data necessary for analyzing a schedule pattern, a movement pattern, and a taste pattern from the received natural language response or query. In particular, since the chatbot function stores data in the form of sentences based on natural language, the user terminal 10 needs to process it when using the data of the chatbot function.

When a natural language-based sentence is input (S510), the user terminal 10 may classify the sentence into morpheme units (S520), and then tag each morpheme with a category (S530). The category may include, for example, a date, time, location, place, person, event (taste), and the like.

The user terminal 10 may classify morphemes for each category ( S540 ), and use them to learn each schedule pattern, movement line pattern, and preference pattern. Specifically, the user terminal 10 extracts a morpheme tagged in at least one category (eg, date, time, location, person, event, etc.) related to schedule data and transmits it to a server (not shown), thereby transmitting it to a schedule pattern can be used as training data for Also, the user terminal 10 extracts a morpheme tagged in at least one category (eg, location, place, etc.) related to the movement data and transmits it to the server, so that it can be used as learning data of the movement pattern. In addition, the user terminal 10 extracts a morpheme tagged with at least one category (eg, event, etc.) related to taste data and transmits it to the server, so that it can be used as learning data of a taste pattern. However, the above description is an example, and it will be readily understood by those skilled in the art that morphemes can be classified by more categories.

Meanwhile, the schedule recommendation function, the calendar function, and the chatbot function according to an embodiment of the present invention may operate in connection with the character raising game function. The character raising game function is a game that grows a character, and it may be to give the character food/snack, take a walk, train, talk, etc., and obtain a reward (e.g., character growth, character item, etc.) . Through this, the user can become familiar with the character, and the user terminal 10 can naturally acquire information about the user's schedule, movement route, taste, and the like.

6 is a diagram illustrating an example in which a character raising game function is linked with a schedule recommendation function and a calendar function according to an embodiment of the present invention.

The user terminal 10 may display the game character raised by the user on the calendar screen of the calendar function by overlapping the calendar. In this case, the game character may be expressed differently according to the current state of the calendar function. For example, if there is no user schedule in the calendar, as shown in (a) of FIG. 6 , a lying game character 610 may appear overlapping the calendar, and the user terminal 10 according to FIGS. 1 to 5 described above. ) and another user terminal 20, when a new schedule 630 is created, as shown in FIG. For example, the user terminal 10 may display the game character of the user terminal 10 and the game character 620 of the other user terminal 20 overlapping the calendar.

7 is a diagram illustrating an example in which a character raising game function is linked with a chatbot function and a schedule recommendation function according to an embodiment of the present invention.

When the user activates the chatbot function of the user terminal 10 (ie, activates the chatting window), the chatbot function may interactively notify the schedule of the corresponding date. In this case, the interactive notification may be performed by a game character of the user terminal 10 . For example, if there is no schedule to notify on that date, a lying game character may be displayed in the chat window as shown in (a) of FIG. 7, and if there is a schedule, as shown in (b) of FIG. 7 Game characters of different shapes may be displayed in the chat window.

Meanwhile, when there is a schedule, the user terminal 10 may search for and recommend a specific place in a location related to the schedule based on a previously learned user's taste pattern, but is not limited thereto.

Meanwhile, as described above, the schedule recommendation function may be initiated and performed through the chatbot function. That is, when the user terminal 10 performs steps S210 to S280 of FIG. 2 , the aforementioned interactive notifications and the first and second user inputs may be made in the form of a conversation with a game character in a chatting window.

As described above, embodiments of the present invention provide a service with high intimacy to users by providing a schedule recommendation function in connection with a calendar function, a chatbot function, and a character raising game.

In one embodiment, the interaction is performed in the form of a conversation with the user in the form of a chatbot based on a game character, the user requests a scheduling in the form of a message to the game character, and the computer sends the result in the form of a message sent by the game character to the user after scheduling can be provided to

For example, the user may request to schedule a three-person meeting with two other people who use the app according to the disclosed embodiment. Since the app according to the disclosed embodiment manages the schedules of users who use each app, each app stores the corresponding user's schedule information or is configured to obtain the user's schedule information.

Accordingly, when the user wants to set up a meeting with two other people designated by the user, all three people preferentially designate a time zone when there is no schedule. In addition, each user can check what schedule there is before and after the corresponding time zone, select a place that can be reached within the time from the location of the corresponding schedule, and notify each user of the scheduling result. In this case, it is possible to request each user to confirm whether or not to perform the scheduling, and when all users agree to the corresponding scheduling, the scheduling is completed, and the completion result can be delivered to each user.

If even one person does not agree to the scheduling, the scheduling may be performed again.

According to an embodiment, even if there is an existing schedule, there may be a possibility that the corresponding schedule is delayed. When each schedule is a repetitive schedule, the computer can determine the possibility of the schedule ending late by referring to the existing history and collecting the number of cases in which the schedule actually ends late. If there is a possibility that the corresponding schedule will end late, scheduling may be performed in consideration of the possibility that the schedule will be delayed. For example, even if there is a schedule ending at 3 o'clock, if the probability that the schedule will be delayed by 30 minutes or more exists more than a preset reference value, it is assumed that the schedule ends at 4 o'clock and scheduling may be performed.

In addition, if it is not a repetitive schedule, whether to delay may be determined based on the properties of the corresponding schedule. For example, the computer can classify each type of schedule (eg, internal meeting, external meeting, customer meeting, seminar, presentation, etc.). In this case, the computer may determine the delay potential of each schedule based on each classified type and the user's existing schedule history. For example, in the case of an internal meeting, the possibility of delay is low because it is highly likely to adjust the schedule according to the user's will. can be viewed as high.

According to an embodiment, the computer may determine whether the user moves. For example, if the schedule ends at 3 o'clock, the next meeting starts at 4 o'clock, and the travel time is predicted to be 40 minutes, if the user's movement or movement is not detected even after 3 o'clock, a notification is provided to the user can do.

In addition, if the movement of the user is not detected even after 3:20 pm, the computer may use a chatbot character to notify the 4:00 schedule participants in advance in the form of a message that the user will be late for the meeting. In addition, it is possible to schedule other participants, and if each participant agrees, the schedule may be delayed by 30 minutes and a notification may be provided to the user.

Through this, it is possible to manage schedules as if a chatbot character became a user's assistant, and furthermore, schedule and manage multiple users' schedules, and even manage schedule adjustments such as schedule delay or lateness.

In the disclosed embodiment, a plurality of modularized artificial intelligence models for performing the above configuration and an artificial intelligence engine based thereon may be provided.

For example, a computer could provide an artificial intelligence model to automatically match each user's free time. For example, an artificial intelligence-based model for automating the derivation of a meeting available time by matching and matching a schedule database between each user may be provided. Such an AI-based model may only perform a role of setting an empty schedule through a simple comparison of databases, but as described above, it may also play a role of determining whether the corresponding schedule is realistically appropriate.

For example, whether there are other schedules before and after the free time, from the location of each schedule to the location of the schedule, whether it is possible to move during the time period - In this case, what means of transportation the user uses; The travel time can be calculated in consideration of the traffic situation in the corresponding time zone - and it can be determined by considering the possibility of delay or change of the schedule before and after. Even in the case of the delay possibility of the above-described schedule, after extracting the attribute of each schedule, the attribute is converted into a vector form and input to the pre-trained artificial intelligence model to calculate the delay time and the delay possibility. In this case, the corresponding model may be learned based on an existing schedule history, and whether the schedule is delayed may be determined based on the user's location movement data.

Also, it is possible to automatically classify each schedule type based on the user's behavior database. For example, the schedule type classification may be performed based on data included in schedule information or may be performed through comparison with other similar schedule information. Furthermore, based on the user's actions to schedule the appointment (e.g., conversations with friends, business partners, and co-workers - including information about who they are talking to and the content of the conversation - and information mentioned in the conversation to schedule) It can also be used to categorize schedules.

In addition, based on the above-mentioned contents, a chatbot artificial intelligence model that can provide natural language processing and results based on the log of the contents and its context based on the above contents, and each user's preference or existing behavior database based on each schedule A recommended AI model that recommends a specific meeting place, agenda, schedule, etc. based on time and space, participant information, characteristics of a schedule, etc. may be provided, but the type of AI model that can be provided is not limited thereto.

8 is a block diagram of the user terminal 10 according to an embodiment.

The processor 810 may include one or more cores (not shown) and a graphic processing unit (not shown) and/or a connection path (eg, a bus, etc.) for transmitting and receiving signals to and from other components. .

The processor 810 according to an embodiment executes one or more instructions stored in the memory 820 , thereby performing the method described with reference to FIGS. 1 to 7 . For example, the processor 810 provides a plurality of recommended dates and times based on schedule data pre-stored in the calendar function, and receives a first user input for selecting at least one of the plurality of recommended dates and times, , transmit at least one recommended date and time corresponding to the first user input to another user terminal, receive a schedulable date and time from among the at least one date and time from the other user terminal, and the schedulable date and estimating the location of the user corresponding to the time. In addition, the processor 810 interactively notifies the schedulable date, time, and location using the chatbot function, and when a second user input for the interactive notification is received through the chatbot function, the schedule is possible Write the date, time and location to the calendar function.

Meanwhile, the processor 810 includes a random access memory (RAM) and a read-only memory (ROM) that temporarily and/or permanently store signals (or data) processed inside the processor 810 . , not shown) may be further included. In addition, the processor 810 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processing unit, a RAM, and a ROM.

The memory 820 may store programs (one or more instructions) for processing and controlling the processor 810 . Programs stored in the memory 820 may be divided into a plurality of modules according to functions.

In addition, the user terminal 10 communicates with the display unit 830 that displays data processed in each function and receives a user input (eg, touch, etc.), other user terminals, servers, etc., in addition to the above components. It may further include a communication unit 840 including at least one component for receiving, a microphone (not shown) receiving a user's voice, and the like. However, it will be readily understood by those skilled in the art that the user terminal 10 of the present invention may be implemented by including more components.

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 contain 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 to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software components, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, including C, C++ , may be implemented in a programming or scripting language such as Java, assembler, or the like. Functional aspects may be implemented in an algorithm running on one or more processors.

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 know that the present invention may be embodied in other specific forms without changing the technical spirit or essential features thereof. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

10: user terminal
20: another user terminal
300: GUI (graphic user interface)
400: chat window

Claims (10)

A method of operating a user terminal for performing a function of recommending a user's schedule in connection with a calendar function and a chatbot function, the method comprising:
providing a plurality of recommended dates and times based on schedule data pre-stored in the calendar function;
receiving a first user input for selecting at least one of the plurality of recommended dates and times;
transmitting at least one recommended date and time corresponding to the first user input to another user terminal;
receiving a schedulable date and time among the at least one date and time from the other user terminal;
estimating the location of the user corresponding to the schedulable date and time;
interactively notifying the scheduleable date, time, and location using the chatbot function; and
and when a second user input for the interactive notification is received through the chatbot function, entering the schedulable date, time and location into the calendar function. According to claim 1,
The step of providing the plurality of recommended dates and recommended times
transmitting the schedule data including at least one of a past or future date and time, a location, a person, and an event pre-stored in the calendar function to a server; and
Receiving the plurality of recommended dates and recommended times as results of a neural network in which the schedule data is machine-learned, the method comprising the step of receiving. 3. The method of claim 2,
The step of providing the plurality of recommended dates and recommended times
extracting the schedule data from the natural language input history stored in the chatbot function; and
The method further comprising the step of transmitting the extracted schedule data to the server. 4. The method of claim 3,
The step of extracting the schedule data,
receiving a natural language sentence;
classifying the natural language sentence into morpheme units;
tagging at least one category to the classified morpheme unit; and
and extracting a morpheme tagged in at least one category related to the schedule data. 3. The method of claim 2,
The step of providing the plurality of recommended dates and recommended times
The method of interactively notifying the plurality of recommended dates and recommended times using the chatbot function. The method of claim 1,
The step of estimating the location of the user
The method of estimating the location of the user based on the user's movement pattern previously learned from location data including at least one of past or future locations and places stored in the calendar function and the chatbot function. 7. The method of claim 6,
The step of estimating the location of the user
searching for a place in the estimated location based on the user's taste pattern previously learned from past or future event data stored in the calendar function and the chatbot function; and
The method further comprising the step of providing the retrieved location. The method of claim 1,
The method of claim 1, wherein the first user input and the second user input are interactive responses in a chat window through the chatbot function. The method of claim 1,
the method
receiving an interactive query requesting a schedule with another person in a chat window through the chatbot function;
analyzing the interactive query to specify the other person; and
The method further comprising the step of searching for the other user terminal corresponding to the other person based on the address book function of the user terminal. The method of claim 1,
The function to recommend the above schedule is linked to the character raising game function,
the method
In response to the schedulable date, time and location being entered in the calendar function, the method further comprising the step of displaying the game character of the user terminal and the game character of the other user terminal overlapping the calendar.

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