WO2019245183A1

WO2019245183A1 - Method, device, and program for selecting place and providing information

Info

Publication number: WO2019245183A1
Application number: PCT/KR2019/006477
Authority: WO
Inventors: 김보언
Original assignee: 김보언
Priority date: 2018-06-21
Filing date: 2019-05-30
Publication date: 2019-12-26
Also published as: KR101972552B1

Abstract

Disclosed is a method for selecting a place and providing information, performed by a computing device, the method comprising the steps of: collecting member information (S101); obtaining a list including one or more selectable places (S102); selecting one or more places from the list on the basis of the collected member information (S103); and providing information on the selected places (S104).

Description

Location selection and information provision method, apparatus and program

The present invention relates to a method, a device and a program for selecting a location and providing information.

Artificial Intelligence (AI) system is a computer system that implements human-level intelligence. Unlike conventional rule-based smart systems, the machine learns and judges itself and becomes smart. As the AI system is used, the recognition rate is improved and the user's taste can be understood more accurately. The existing Rule-based smart system is gradually replaced by the deep learning-based AI system.

AI technology is composed of elementary technologies that utilize machine learning (deep learning) and machine learning.

Machine learning is an algorithm technology that classifies / learns characteristics of input data by itself, and element technology is a technology that simulates the functions of human brain cognition and judgment by using machine learning algorithms such as deep learning. It consists of technical areas such as understanding, reasoning / prediction, knowledge representation, and motion control.

AI technology is applied in various fields, and in particular, it is possible to derive new information by collecting information, inferring conclusions based on the collected information, or by identifying correlations between data included in big data.

MICE is an abbreviation of English letters such as meetings, incentive trips, conventions, exhibitions and events, in a narrow sense a promising industry centered around international conferences and exhibitions. In the broader sense, it means a convergence industry that includes participant-centered reward tourism and mega events.

The problem to be solved by the present invention is to provide a place selection and information providing method, apparatus and program.

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

In accordance with an aspect of the present invention for solving the above-mentioned problem, the method of selecting a place and providing the information, collecting the member information (S101), obtaining a list including one or more selectable places (S102), collecting Selecting at least one place from the list based on the member information (S103) and providing information on the selected place (S104).

According to the disclosed embodiment, there is an effect that a method of selecting a place and providing information reflecting the intentions of members is provided.

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 flowchart illustrating a method of selecting a place and providing information according to an exemplary embodiment.

2 is a flowchart illustrating a method of collecting member information according to an exemplary embodiment.

3 is a flowchart illustrating a method of extracting a selectable place according to an exemplary embodiment.

4 is a flowchart illustrating a method of selecting one or more places according to an embodiment.

5 is a flowchart illustrating a grouping method according to an exemplary embodiment.

6 is a flowchart illustrating a method of providing information according to an exemplary embodiment.

7 is a flowchart illustrating a method for providing augmented reality service according to an exemplary embodiment.

8 is a flowchart illustrating a method of providing package information according to an exemplary embodiment.

9 is a block diagram of an apparatus according to an embodiment.

In addition, the step (S101) may include a step (S105) of collecting the questionnaire information of the member and a step (S106) of collecting the living information of the member.

In addition, the step S102 may include obtaining a place candidate group (S107) and extracting the at least one selectable place from the place candidate group based on cost, infrastructure, and availability (S108). have.

In addition, the step (S103), the step of obtaining the preference information of the member based on the collected survey information and living information (S109) and the step of selecting the one or more places from the list based on the preference information It may include (S110).

In addition, the step (S103), the step of grouping the selected one or more places into one or more groups based on the distance between the selected one or more places and the moving line (S111), determining the priority for each of the one or more groups However, determining the priority based on the preference information for one or more places included in each of the one or more groups (S112) and selecting at least one group based on the priority (S113). In addition, the step S104 may include providing information on the selected group (S114).

In addition, the step (S104), the step of providing an augmented reality (AR) image including the information on the selected group (S115) and using the augmented reality image to each of one or more places included in the selected group It may include the step (S116) for providing the survey information.

In addition, the step (S104) includes a step (S117) of providing guidance information for each of one or more places included in the selected group, the step (S116), one or more places included in the selected group Determining whether to replace the augmented reality for at least a portion of (S118) and providing augmented reality service corresponding to the determined location (S119) may be further included.

In addition, the step (S119), the step of providing an augmented reality service on the background of the image including one or more places included in the selected group (S120), the information on the selected group and the augmented reality service for The method may further include generating MICE package information including information (S121) and posting the MICE package information (S122).

In accordance with an aspect of the present invention, a place selection and information providing apparatus includes a memory for storing one or more instructions and a processor for executing the one or more instructions stored in the memory. Collecting one piece of member information by executing one or more instructions, obtaining a list comprising one or more selectable locations, selecting one or more places from the list based on the collected member information, and the selected place Providing information about may be performed.

In accordance with an aspect of the present invention for solving the above problems, there is provided a computer program stored in a computer-readable recording medium to perform the method according to the disclosed embodiment in combination with a computer that is hardware.

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

Advantages and features of the present invention, and methods for 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 can be embodied in various different forms, and the present embodiments only make the disclosure of the present invention complete, and those of ordinary skill in the art to which the present invention belongs. It is provided to fully inform the skilled worker of the scope of the invention, which is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the 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 mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used in a sense that can be commonly understood by those skilled in the art. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

As used herein, the term "part" or "module" refers to a hardware component such as software, FPGA, or ASIC, and the "part" or "module" plays certain roles. However, "part" or "module" is not meant to be limited to software or hardware. The “unit” or “module” may be configured to be in an addressable storage medium or may be configured to play one or more processors. Thus, as an example, a "part" or "module" may include components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and "parts" or "modules" may be combined into smaller numbers of components and "parts" or "modules" or into additional components and "parts" or "modules". Can be further separated.

It means a kind of hardware device, it can be understood as a meaning encompassing a software configuration that operates in the hardware device according to the embodiment. For example, a computing device may be understood as including, but not limited to, a smartphone, a tablet PC, a computer, and a user client and an application running on each device.

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

Each step described in connection with FIGS. 1 to 8 is described as being performed by a computing device, but the subject of each step is not limited thereto, and at least some of the steps may be performed in different devices according to embodiments. It may be.

Types of places and information selected and provided by a place selection and information providing method according to the disclosed embodiments are not limited.

For example, the method of selecting a place and providing the information according to the disclosed embodiment selects a place for reward tour (incentive tour) of the company, provides information on the place, further recommends an agency necessary for sightseeing, and makes a reservation. It can be used to perform.

In addition, the method of selecting a place and providing information according to the disclosed embodiment may be used to select various MICE places and establish a plan.

MICE is an abbreviation of English letters such as meetings, incentive trips, conventions, exhibitions and events, in a narrow sense a promising industry centered around international conferences and exhibitions. In the broader sense, it means a convergence industry that includes participant-centered reward tourism and mega events. However, the meaning of MICE herein is not limited to the term itself, and may be used in various terms according to time and region. In one embodiment, MICE may be used in the same manner as the terms of meeting, convention and incentive travel (MC & IT).

For example, the method of selecting a place and providing information according to the disclosed embodiment may plan a large and small international conference, invite greetings from each country, and comprehensively collect information for accommodation, exhibition, meeting, event, tourism, and the like. It can be used to make plans, make plans, make reservations, and the like.

In step S101, the computing device collects member information.

In an embodiment, the member may mean a member of a company that is a target of a reward, or may mean a target of participating in an MICE event, but is not limited thereto.

Member information may refer to personal information including the identity of the member, or may further include various other information. Specific types of member information will be described later with reference to FIG. 2.

In step S102, the computing device obtains a list that includes one or more selectable locations.

In one embodiment, the selectable locations may be divided into country units, city units, or larger or smaller regional units, or may be classified based on symbolic places such as famous tourist sites.

For example, in the case of award tourism, the selectable location may include one or more Unique Venues. Unique Vanue is a combination of 'unique' and 'vanue', which means places such as old houses, museums, villages, etc. For example, it may include a famous tourist destination.

In addition, the selectable place may further include information on one or more attractions, accommodations, restaurants, etc., to which each unique venue and the copper line may be connected.

In addition, in the case of a MICE event, the selectable place may include information on a conference hall, a grand ballroom, a hotel, an exhibition hall, and the like, where a large and small international conference may be performed. Also, in this case, the selectable place may further include information on a place of stay, a restaurant, a tourist destination, etc. for the people participating in the corresponding MICE event.

In addition, the selectable places may mean places included within a selectable range based on cost, schedule, availability, and the like. The specific method for setting the selectable range will be described later.

In step S103, the computing device selects one or more places from the list based on the collected member information.

For example, in the case of reward tourism, the computing device may select a place desired by the members based on the member information.

In step S104, the computing device provides information about the selected place.

In one embodiment, the computing device may assist the user's selection by providing information about the selected place, and if the user wishes to plan a rewards tour or MICE event for the place, the route setting, a base (eg, a property) , Restaurants, tourist attractions, conference venues, etc.)

In step S101, the computing device performs step S105 of collecting questionnaire information of a member.

In an embodiment of the present disclosure, the computing device may collect questionnaire information for selecting a place, which is performed on a member. For example, the questionnaire information may include a question for directly asking a place where each member wants, or may include a question for collecting information related to each member's taste or preference.

In an embodiment, the questionnaire information may include questions of relatively low relevance rather than directly asking for location selection and preference of members. In an embodiment, the question items may be automatically obtained based on the AI model.

In this specification, the artificial intelligence model means a model trained based on machine learning (machine learning). In one embodiment, the artificial intelligence model clusters questionnaires obtained from a database to select items that can collect information needed to select a place, that is, provide information that is meaningful for each member to select a desired place. can do.

For example, the training data used to train the artificial intelligence model may include information about a place that each member actually wants and information that the member responds to for each questionnaire. The AI model may learn by using the training data, and may select questionnaires having a predetermined relation between a place desired by a member and a questionnaire response.

In addition, the artificial intelligence model may be trained based on the questionnaire questions and the responses and the learning data labeled with information on the places (sightseeing places, MICE event places, etc.) desired by each respondent. In this case, the artificial intelligence model may obtain a place desired by each member based on a response to each member's questionnaire.

In addition, the computing device may perform a step (S106) of collecting living information of the member.

In one embodiment, the member's living information may include the conversation contents of each member. For example, the member's living information may include contents of conversations performed by each member using mail, messenger, and the like.

In addition, the member's living information may include various personal information parameters collected based on the member's commute time, work time, work performance, welfare point usage history, other welfare (language, physical education, etc.) usage history.

The computing device may recommend a suitable place for each member based on the collected living information of the member. The recommendation of a place may be performed based on the artificial intelligence model described above.

For example, the artificial intelligence model may be trained based on living information of each member and learning data labeled with a desired place of each member. According to an embodiment, the artificial intelligence model may be learned by using the survey information and the living information of each member.

In one embodiment, the AI model may obtain keywords necessary for selecting a place through natural language processing from the conversation contents of the member, and obtain a place desired by the member based on the acquired keyword.

In one embodiment, the artificial intelligence model determines one or more parameters having a meaningful correlation with the selection of a place among the living information of the member, extracts information corresponding to the parameter from the living information of the member, and learns using the extracted parameters. By doing this, members can obtain the desired place.

In one embodiment, the artificial intelligence model may collect information about places each member wants. For example, information about a place desired by each member may be obtained from direct questionnaire information, or may be obtained from an artificial intelligence model by the above-described method.

The AI model can collect and cluster information about the places each member wants. The AI model may select a place that more members want, or when different places are collected, clustering may generate a place map including information about each place based on the characteristics of each place.

For example, the place map may be a map that is clustered and organized based on the association of each place, and may be located closer to a place that is highly related to each other and farther to a place that is less related to each other. The place map may be configured in two or three dimensions, and in some embodiments, may be configured in a higher dimension.

The AI model may select a place located in the center of clusters included in the place map based on the place map. For example, even if 50% of members select Place A, 20% selects Place B, and 30% selects Place C, the median calculated based on the map of the place is close to Place B. In this case, place B may be finally selected.

The criteria for judging the relevance of places can be set differently according to the characteristics of each place. For example, in the case of reward tourism, whether each place is close to a resort, close to a tourist destination, hot, cold, or mountain. It can be classified based on various parameters, such as many, many seas.

The parameter for classifying each place may be preset or determined by clustering of the AI model.

In step S102 described above, the computing device may perform step S107 of obtaining a place candidate group.

In one embodiment, the place candidate group may be automatically extracted by recommending a place suitable for the purpose, or may be obtained based on information stored in an existing record or a database.

In one embodiment, the computing device may automatically select a predetermined place candidate group from a database based on a user input.

For example, the computing device receives an input for selecting a place from a user, receives a region range (for example, domestic / international, travel time, continent, etc.), and then automatically obtains a candidate group of the corresponding place. can do.

In addition, the computing device may perform step S108 of extracting the one or more selectable locations from the location candidate group based on cost, infrastructure, and availability.

For example, there may be a case where the candidates are unavailable due to out of budget, lack of infrastructure, or non-reservation. Thus, the computing device may extract one or more selectable places from the place candidates.

In the above-described step (S103), the computing device may perform the step (S109) of obtaining the preference information of the member based on the collected questionnaire information and living information.

For example, the computing device may extract characteristics of a place preferred by each member based on the survey information and the living information collected about each member. According to an embodiment, the computing device may directly extract the places preferred by each member.

In addition, the computing device may perform step S110 of selecting one or more places from the list based on the preference information.

For example, the computing device may select a place that each member prefers from the list based on the member's preference information, or select a place corresponding to the characteristic that the member prefers from the list.

In the above-described step S103, the computing device may perform the step S111 of grouping the selected one or more places into one or more groups based on the distance between the selected one or more places and the moving line.

For example, the selected place may include information about a specific country or city, and specifically, may include information about tourist attractions, lodgings, restaurants, landmarks, etc. included in each place.

The computing device may extract and group locations required for a tourism or MICE event based on the distance and the traffic between each location.

For example, the computing device may select and group tourist attractions, accommodations, restaurants, and the like included in the city in order to plan a reward for a particular city (eg, Paris, France).

In one embodiment, the computing device may select a base for each city. For example, the base may be a lodging facility or may include a resting place such as a city center, a restaurant, or a cafe.

The computing device may build a traffic line and select a location based on the selected base.

In addition, the computing device determines a priority for each of the one or more groups, but determines the priority based on the preference information for one or more places included in each of the one or more groups, step S112. can do.

For example, the computing device sets the accommodation of a specific city as a base, generates a moving line that can be moved within a predetermined time from the base, extracts a candidate group of one or more places that can be included in the moving line, and extracts the candidate group. Within each location, priority can be set based on the preference information of each member.

As another example, when planning a MICE event, use the main event location (for example, a meeting place) as a base, select accommodations, restaurants, etc. within a predetermined range from the base, and move within a time other than the main event. It is possible to generate a moving line, but to select a place that can be included in each moving line.

In addition, the computing device may select a place according to a priority within a predetermined time limit and a limitation of a moving line. In addition, the computing device may determine the priority for each group. For example, the priority for each group may be determined as the sum of the priorities for places included in each group.

In addition, the computing device may perform step S113 of selecting at least one group based on the priority.

For example, the computing device finally selects the highest priority group, provides information to plan awards for the group based on the selected group, and recommends an agency in the area to proceed with the reservation. can do.

Similarly, when planning a MICE event, the computing device may preferentially reserve a place to be a base and, if a reservation is possible, perform reservation and moving line setting of nearby places.

In operation S104, the computing device may perform operation S114 of providing information on the selected group.

The computing device may recommend and provide information on the agency at the same time as providing the information, and may perform a reservation by automatically communicating with the agency terminal according to a user input or a preset item.

In step S104, the computing device may perform step S115 of providing an augmented reality (AR) image including information on the selected group.

For example, the computing device may provide an augmented reality image that provides a 360 degree image of each place included in the selected group.

In the present specification, an AR (Augmented Reality) image may mean a kind of virtual reality image which shows a combination of a virtual image and an actual image, but is not limited thereto, and may include virtual reality (VR), It is understood as a concept encompassing all mixed reality (MR) and the like.

The augmented reality image may be provided using a head mount display (HMD), but is not limited thereto, and may be provided as a 360 degree image using a general display.

Therefore, before the reservation and planning stage for each place, the user can collect the necessary information through the augmented reality image without actually going to each place.

In addition, the computing device may perform the step S116 of providing the exploration information on each of the one or more places included in the selected group using the augmented reality image.

For example, the computing device may virtually visit and experience places included in the group through augmented reality, and update the augmented reality image by reflecting real-time information. For example, users can obtain up-to-date information by collecting and reflecting changes in real time, such as when a place is under construction, a road is under control, a restaurant is closed or closed, or a hotel reservation is changed. By doing so, it is possible to provide a service that can replace the actual survey.

In operation S104 described above, the computing device may perform operation S117 of providing guide information for each of one or more places included in the selected group.

For example, the computing device may provide detailed information about each place included in the selected group, information on usage precautions, information for reservation, and transportation.

In operation S116, the computing device may determine whether to replace augmented reality for at least some of the one or more places included in the selected group, in operation S118.

For example, there may be cases in which a certain tourist spot is under construction or cannot be admitted during a reward tour, and it may be difficult to visit due to a high preference of members or a line or time relationship. In this case, the computing device may decide to replace the location with augmented reality.

In addition, if you want to host an international conference, you may consider replacing the meeting with augmented reality if there are too many participants, if you are far from each other, or if you have insufficient budget. In this case, there is no need to visit the country, so the entire schedule can be replaced by augmented reality.

In addition, the computing device may perform a step S119 of providing an augmented reality service corresponding to the determined place.

For example, if a schedule that needs to be visited using augmented reality service is included during sightseeing, the schedule is provided as an augmented reality service using a display device in the accommodation, such as on the move (in a bus) or after finishing the schedule. Can be. In addition, the computing device may provide a page for purchasing a special product or souvenir that can be purchased at a corresponding place, and the ordered product may be delivered to an orderer's accommodation.

In addition, when the meeting is performed using the augmented reality service, information exchanged through the meeting may be organized and recorded by artificial intelligence, and the corresponding meeting scene may be disclosed to the outside according to embodiments. For example, in the case of a real meeting, the number of participants may be limited, but in the case of a meeting using augmented reality, observers or attendants other than the actual meeting participant may watch a video of a meeting in the corresponding space.

In operation S119, the computing device may perform operation S120 of providing an augmented reality service based on an image including one or more places included in the selected group.

For example, if an international conference is conducted in augmented reality, the background of the conference hall may be displayed as a video of the places included in the group, so that an indirect experience such as visiting selected places included in the group may be possible. have.

That is, when the international conference proceeds to augmented reality, it is not necessary to actually visit the selected places, so the entire schedule may be replaced with augmented reality. In this case, displaying an image of selected places in the background during a meeting using augmented reality may enable indirect experience even without actually visiting the selected places.

In addition, the background can be set in various ways in addition to a specific area, and if the entire schedule is replaced by augmented reality, the problem of moving lines is solved, and thus, groups are selected and grouped based on their preferences regardless of distance or moving lines. By displaying them in the background of the augmented reality image, it is possible to indirectly visit many places that members prefer.

In addition, the computing device may perform the step of generating MICE package information including the information on the selected group and the information on the augmented reality service (S121).

For example, a MICE package including information grouped by the above-described method, details are set, and whether augmented reality is replaced or the like may be generated. The computing device may store each setting for later reuse or recommend to other users.

In addition, the computing device may perform step S122 of posting the MICE package information.

That is, the computing device may post MICE package information through a network in an online space such as a shopping mall or a bulletin board, and receive an application and reservation for each MICE package through an application.

In addition, in the case of MICE package that includes augmented reality schedule, or the entire schedule is augmented reality, you can apply and book only a part of the augmented reality schedule, without limiting the number of people (for example, one to many You can apply and make reservations.

For large international conferences, there may be thousands or tens of thousands of participants, and there may be thousands and tens of thousands of thematic annual meetings across industry sectors. Accordingly, the computing device according to the disclosed embodiment may provide a platform service for brokering, selling, and providing various real and augmented reality MICE services based on a preset MICE package.

9 is a block diagram of an apparatus according to an embodiment.

The processor 102 may include a connection passage (eg, a bus, etc.) that transmits and receives signals with one or more cores (not shown) and graphics processor (not shown) and / or other components. .

The processor 102 according to one embodiment executes one or more instructions stored in the memory 104 to perform the method described in connection with FIGS. 1-8.

For example, the processor 102 collects member information by executing one or more instructions stored in memory, obtains a list including one or more selectable locations, and based on the collected member information, one or more from the list. A place may be selected and information on the selected place may be provided.

Meanwhile, the processor 102 may include random access memory (RAM) and read-only memory (ROM) for temporarily and / or permanently storing a signal (or data) processed in the processor 102. , Not shown). In addition, the processor 102 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processor, a RAM, and a ROM.

The memory 104 may store programs (one or more instructions) for processing and controlling the processor 102. Programs stored in the memory 104 may be divided into a plurality of modules according to functions.

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

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

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 may implement the present invention in other specific forms without changing the technical spirit or essential features. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

Claims

A place selection and information providing method performed by a computing device,

Collecting member information (S101);

Obtaining a list including one or more selectable places (S102);

Selecting one or more places from the list based on the collected member information (S103); And

Providing information on the selected place (S104); Including,

How to choose a location and provide information.
The method of claim 1,

The step (S101),

Collecting questionnaire information of the members (S105); And

Collecting life information of the member (S106); Including,

How to choose a location and provide information.
The method of claim 2,

The step (S102),

Obtaining a place candidate group (S107); And

Extracting the at least one selectable place from the place candidate group based on cost, infrastructure and availability (S108); Including,

How to choose a location and provide information.
The method of claim 3,

The step (S103),

Obtaining preference information of the member based on the collected questionnaire information and living information (S109); And

Selecting one or more places from the list based on the preference information (S110); Including,

How to choose a location and provide information.
The method of claim 4, wherein

The step (S103),

Grouping the selected one or more places into one or more groups based on a distance between the selected one or more places and a moving line (S111);

Determining priorities for each of the one or more groups, and determining the priorities based on the preference information for one or more places included in each of the one or more groups; And

Selecting at least one group based on the priority (S113); Including,

The step (S104),

Providing information on the selected group (S114); Including,

How to choose a location and provide information.
The method of claim 5,

The step (S104),

Providing an augmented reality (AR) image including information on the selected group (S115); And

Providing exploration information on each of one or more places included in the selected group by using the augmented reality image (S116); Including,

How to choose a location and provide information.
The method of claim 6,

The step (S104),

Providing guide information for each of one or more places included in the selected group (S117); Including,

The step (S116),

Determining whether to replace augmented reality for at least some of the one or more places included in the selected group (S118); And

Providing an augmented reality service corresponding to the determined place (S119); Further comprising,

How to choose a location and provide information.
The method of claim 7, wherein

The step (S119),

Providing an augmented reality service based on an image including at least one place included in the selected group (S120);

Generating MICE package information including information on the selected group and information on the AR service (S121); And

Posting the MICE package information (S122); Further comprising,

How to choose a location and provide information.
Memory for storing one or more instructions; And

A processor for executing the one or more instructions stored in the memory;

The processor executes the one or more instructions,

Collecting member information;

Obtaining a list comprising one or more selectable places;

Selecting one or more places from the list based on the collected member information; And

Providing information about the selected place; To do,

Place selection and information provision device.
A computer program, coupled to a computer, which is hardware, stored on a recording medium readable by a computer so as to perform the method of claim 1.