KR102644622B1 - Tour guide service system and method for fan of artist - Google Patents

Abstract

A travel guide service system and method for artist fans is disclosed. The present invention can search for location information and content information related to artists based on the user's travel schedule information and preference information, and generate and provide a travel itinerary reflecting the search results.

Description

Travel guide service system and method for artist fans {TOUR GUIDE SERVICE SYSTEM AND METHOD FOR FAN OF ARTIST}

The present invention relates to a travel guide service system and method for artist fans. More specifically, the present invention relates to a travel guide service system and method for artist fans, and more specifically, searches place information and content information related to an artist based on the user's travel schedule information and preference information, and travels reflecting the search results. This relates to a travel guide service system and method for artist fans that creates and provides schedules.

In travel product services using the Internet, travel agencies, etc. generally provide predetermined travel information and travel package information to users, and users select the desired travel product by referring to the provided travel service information.

With these travel product services, travel agencies unilaterally provide only pre-determined travel information and travel packages, making it difficult for users to select travel products that take into account their desired itinerary or conditions, and making it difficult for travel agencies to appropriately respond to the user's requirements. There is a point.

Recently, the field of providing user-customized services has become more diverse, and the provision of such user-customized services mainly consists of targeted advertising services.

In other words, advertisements for specific content, products, and services are selected based on the user's search word history or preference information and exposed to the user, thereby encouraging the user to purchase the product or service.

Meanwhile, the usage rate of brokerage platforms for travel products such as travel or activities is greatly increasing due to the diversity of information and convenience of use, and users obtain information about travel products online and through this, they can find information about specific accommodations or activities. You are using the service through reservation.

However, these travel products reflect the user's preferences only for individual travel products, or recommend products customized to the user's preferences only for advertising products, so the travel products do not actually lead to the user's purchase and use. There is a problem.

In addition, due to the recent Korean wave craze and the influence of K-POP, the number of visits by foreign tourists, especially 'Korean wave tourists' by fans of celebrity artists such as singers and actors, is increasing.

However, these Korean Wave tourists, or fans of artists, visit Korea for the purpose of actually participating in 'Korean Wave activities', i.e., Korean Wave cultural content and related activities, rather than 'Korea travel' itself, and thus are not able to visit conventional travel. There is a problem that satisfaction with the product is very low.

In addition, information on travel places that Korean Wave tourists want to visit includes, for example, 'artist's album jacket filming location', 'music video filming location', 'goods store', 'favorite restaurant', and 'artist performance hall' as travel destinations. However, the Korean Wave tourism information in current travel products is not related to artists, for example, 'Myeongdong Street', 'Gyeongbokgung Palace', 'Hongdae Street', and 'Namsan Tower' are provided as travel locations, so the actual travel desired by Korean Wave tourists is provided. There is a problem with not being able to provide information.

Additionally, in the case of Korean Wave tourists, it is difficult to collect information related to artists due to differences in language and environment, which requires a lot of time and effort to plan travel itineraries.

Korean Patent Publication No. 10-2021-0092920 (Title of invention: System and method for providing travel services considering traveler characteristics)

In order to solve this problem, the present invention is a travel guide for artist fans that searches place information and content information related to the artist based on the user's travel schedule information and preference information, and creates and provides a travel itinerary reflecting the search results. The purpose is to provide service systems and methods.

In order to achieve the above object, an embodiment of the present invention is a travel guide service system for artist fans, which collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal, Information on the artist is collected by connecting to one or more of the agency server, fan club server, SNS server, and travel product provider terminals that provide artist-related locations and content, which provide information about the artist, and the user information collected above. Set up a reinforcement learning environment based on and artist information, perform a simulation to predict one or more user-customized travel products through the actions of reinforcement learning, and review scores and reviews of travel products predicted according to the simulation results. A travel guide server that predicts the optimal user-customized travel product by performing reinforcement learning that reflects the price as reward information, generates travel guide information based on the predicted travel product, and provides it to the user terminal; Includes.

Additionally, the travel product according to the above embodiment is characterized by at least one of a place and content related to an artist.

In addition, the travel guide information according to the above embodiment is characterized by including one or more of travel itinerary, travel product, transportation, travel route for each destination, travel time, and map information.

Additionally, the travel guide information according to the above embodiment is characterized in that it can be changed according to selection and non-selection information input from the user terminal among the predicted travel products.

In addition, information on selection or non-selection of travel products according to the above embodiment is characterized in that it is individually stored in an arbitrary storage space.

In addition, the travel guide server according to the above embodiment includes a user information collection unit that collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal; An artist information collection unit that collects information about the artist by connecting to one or more of an agency server that provides information about the artist, a fan club server, a SNS server, a location related to the artist, and a travel product provider terminal that provides content; Set up a reinforcement learning environment based on the collected user information and artist information, perform a simulation to predict one or more user-customized travel products through reinforcement learning actions, and review the travel products predicted according to the simulation results. Predicts the optimal user-customized travel product by performing reinforcement learning that reflects the score and price as reward information, and generates travel guide information from the results determined according to the selected or unselected information input from the user terminal based on the predicted travel product. a travel guide management unit that transmits the information to the user terminal; and a database storing the user information, artist information, and travel guide information.

In addition, the travel guide server according to the above embodiment extracts location information of the user terminal based on the GPS signal, and further includes an additional information management unit that searches for unselected travel products located within a certain range from the current location and transmits the information to the user terminal. It is characterized by:

In addition, the travel guide server according to the above embodiment extracts the location information of the user terminal based on the GPS signal, searches for an image of the artist taken at a specific location corresponding to the location information, and retrieves the artist's silhouette and An augmented reality service management unit that divides the surrounding environment into identification elements and divides the identified elements, and displays the divided identification elements on the screen when taking pictures using the user terminal through visualization using an augmented reality (AR) object model. It is characterized by further including ;.

In addition, the travel guide server according to the above embodiment provides a chatbot service through a chatbot program running on the user terminal, and includes location information of the user terminal based on GPS signals, user information collected from the user terminal, artist information, and travel information. Extract and store keywords based on schedule information, compare query keywords extracted from random queries input from the user terminal with keywords based on the user information, artist information, and travel itinerary information, and search for the query information in a preset manual. It is characterized in that it further includes a Deokjil Mate service management unit that searches for an answer sentence format related to and provides it to the user terminal.

Additionally, the artist information collection unit according to the above embodiment includes a pre-processing unit that corrects incorrectly written words or character strings in the collected artist information based on preset rules; a reliability evaluation unit that uses a classification model to determine whether the collected artist information is information about the artist, outputs a probability value as a prediction result, and evaluates whether the collected artist information is information about the artist based on the prediction result; and an artist information management unit that classifies and stores artist information based on the evaluation results.

In addition, the travel guide management unit according to the above embodiment sets a reinforcement learning environment based on the collected user information and artist information, performs a simulation to predict one or more user-customized travel products through reinforcement learning actions, and An artificial intelligence modeling unit that predicts the optimal user-customized travel product by performing reinforcement learning that reflects the review score and price of the travel product predicted according to the simulation results as reward information; A travel prediction product that generates travel guide information by matching the travel product determined according to the selected or unselected information input from the user terminal based on the predicted travel product with the travel itinerary, transportation, travel route by destination, travel time, and map information. matching department; and a travel product management unit that matches the generated travel guide information with user information and manages it to be stored.

In addition, an embodiment of the present invention is a travel guide service method for artist fans, wherein a) the travel guide server includes an agency server 300 that provides information on an arbitrary artist, a fan club server, an SNS server, and an artist-related Collecting relevant artist information by connecting to one or more travel product provider terminals that provide locations and content; b) the travel guide server collecting user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal; c) The travel guide server sets up a reinforcement learning environment based on the collected user information and artist information, performs a simulation to predict one or more user-customized travel products through actions of reinforcement learning, and Predicting the optimal user-customized travel product by performing reinforcement learning that reflects the review score and price of the travel product predicted according to the simulation results as reward information; and d) the travel guide server generates and stores travel guide information by matching the selected and unselected information of the travel product input from the user terminal based on the predicted travel product, and transmits the generated travel guide information to the user terminal. Step; includes.

In addition, the above embodiment includes e) the travel guide server extracting location information of the user terminal based on the GPS signal, searching for unselected travel products located within a certain range from the extracted current location, and transmitting the search to the user terminal; It is characterized in that it further includes.

In addition, step a) according to the above embodiment corrects incorrectly written words or strings in the collected artist information based on a preset rule, and uses the collected artist information to classify information about the artist. The method further includes outputting the probability value determined as a prediction result, evaluating whether the information is about the corresponding artist based on the prediction result, and classifying and storing the artist information according to the evaluation result.

In addition, the travel guide information in step d) according to the above embodiment is characterized by being generated by matching travel schedule, transportation, travel route for each destination, travel time, and map information based on the predicted travel product.

The present invention has the advantage of searching for location information and content information related to artists based on the user's travel schedule information and preference information, and generating and providing a travel itinerary reflecting the search results.

Additionally, the present invention has the advantage of improving satisfaction with travel products by providing travel information corresponding to the travel purposes of artists' fans.

1 is an example diagram illustrating a travel guide service system for artist fans according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of a travel guide server of a travel guide service system for artist fans according to the embodiment of Figure 1.
Figure 3 is a block diagram showing the configuration of an artist information collection unit according to the embodiment of Figure 2.
Figure 4 is a block diagram showing the configuration of a travel guide management unit according to the embodiment of Figure 2.
Figure 5 is a block diagram showing the database configuration according to the embodiment of Figure 2.
Figure 6 is a flow chart showing a travel guide service method for artist fans according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to preferred embodiments of the present invention and the accompanying drawings, assuming that the same reference numerals in the drawings refer to the same components.

Before describing specific details for implementing the present invention, it should be noted that configurations that are not directly related to the technical gist of the present invention have been omitted to the extent that they do not distract from the technical gist of the present invention.

In addition, the terms or words used in this specification and claims have meanings and concepts that are consistent with the technical idea of the invention, based on the principle that the inventor can define the concept of appropriate terms in order to explain his or her invention in the best way. It should be interpreted as

In this specification, the expression that a part “includes” a certain element does not mean excluding other elements, but means that it may further include other elements.

In addition, terms such as "‥unit", "‥unit", and "‥module" refer to a unit that processes at least one function or operation, which can be divided into hardware, software, or a combination of the two.

In addition, the term "at least one" is defined as a term including singular and plural, and even if the term "at least one" does not exist, each component may exist in singular or plural, and may mean singular or plural. This can be said to be self-evident.

Hereinafter, a preferred embodiment of a travel guide service system and method for artist fans according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is an example diagram showing a travel guide service system for artist fans according to an embodiment of the present invention, and Figure 2 is a travel guide server of the travel guide service system for artist fans according to the embodiment of Figure 1. It is a block diagram showing the configuration, Figure 3 is a block diagram showing the composition of the artist information collection unit according to the embodiment of Figure 2, Figure 4 is a block diagram showing the composition of the travel guide management unit according to the embodiment of Figure 2, Figure 5 is a block diagram showing the database configuration according to the embodiment of Figure 2.

1 to 5, in an embodiment of the present invention, a travel guide service system for artist fans searches place information and content information related to the artist based on the user's travel schedule information and preference information, and provides search results. It may be configured to include a user terminal 100 and a travel guide server 200 so that a travel itinerary reflected can be generated and provided.

In addition, the travel guide service system according to an embodiment of the present invention is connected through a network to search and provide artist-related information, and includes the agency server 300 of the entertainment company to which the artist belongs, and the artist's fan club. It further includes a server 400, an SNS server 500 that provides SNS information about the artist, and at least one travel product provider terminal 600 that provides content information such as location information or performances related to the artist. It can be configured.

The user terminal 100 receives user profile information such as name, gender, age, and nationality from the user, preferred artist information, travel schedule information, and the user's favorite travel patterns (e.g., visiting a specific place, purchasing a specific product, User information, including user preference information (such as performance or event participation, photo taking, food or activity experience, etc.), is input and transmitted to the travel guide server 200 connected through the network.

In addition, the user terminal 100 receives and displays information such as predicted travel products, travel guide information, and additional travel products transmitted from the travel guide server 200, and displays the information on desktop PCs, laptop PCs, tablet PCs, and servers. It may be configured as a mobile terminal such as a cell phone capable of installing a system or application program, and preferably may be configured as a mobile terminal capable of receiving GPS signals and displaying location information.

In addition, the user terminal 100 has an application (app) installed and executed to connect to the travel guide server 200, and through this, user information is transmitted to the travel guide server 200 and received from the travel guide sub 200. Provided travel products, travel guide information, etc. can be displayed.

In addition, in this embodiment, the user terminal 100 is described as an example for convenience of explanation, but the configuration is not limited thereto, and further includes a plurality of different user terminals 1 (100a) to user terminal n (100b). It can be.

The travel guide server 200 is a server system that includes one or more of an agency server 300, a fan club server 400, an SNS server 500, and a travel product provider terminal 600 that provide information about an arbitrary artist. You can collect information about the artist by logging in.

Here, the travel product provider terminal 600 is a component that provides information such as places and contents related to the artist, such as the artist's favorite restaurant, a curation location for each artist, a pop-up store operated by a specific fan, and the artist's clothing. It may be a PC or server system that is installed at product and related props and clothing stores, filming locations, performance locations, fan signing locations, lodging locations, and experience locations, and provides information related to the artist.

Additionally, the travel guide server 200 may receive user information including user profile information, preferred artist information, travel schedule information, and user preference information such as the user's favorite travel pattern from the user terminal 100.

In addition, the travel guide server 200 sets up a reinforcement learning environment based on the collected user information and artist information, and conducts a simulation to predict one or more customized travel products that the user may prefer based on the action. can be performed.

In other words, the travel guide server 200 can predict the travel product that the user may prefer based on the user's preferred artist information and the user's travel pattern through reinforcement learning.

In addition, the travel guide server 200 reflects the review score of the travel product and the price of the travel product as reward information in relation to the travel product predicted through reinforcement learning to provide the optimal user-customized travel product for the user. It predicts and recommends the optimal user-tailored travel product to the user.

Additionally, the travel guide server 200 may generate travel guide information that combines predicted travel products, distances between travel products, travel times, etc., and provide the travel guide information to the user terminal 100.

To this end, the travel guide server 200 includes a user information collection unit 210, an artist information collection unit 220, a travel guide management unit 230, an additional information management unit 240, and an augmented reality service management unit 250. ), a Deokjil Mate service management unit 260, and a database 270.

The user information collection unit 210 collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal 100.

The artist information collection unit 220 includes an agency server 300 that provides information about the artist, a fan club server 400, an SNS server 500, and a travel product provider terminal 600 that provides locations and content related to the artist. It is a configuration that collects the artist information using crawling, etc. by connecting to one or more of the following, and may include a preprocessing unit 221, a reliability evaluation unit 222, and an artist information management unit 223. there is.

The pre-processing unit 221 corrects incorrectly written words or character strings in the collected artist information based on preset correction rules and classifies the collected artist information into text data and image data.

Here, the correction rule can distinguish between typos and correct answers for extracted words or strings, and generate correction information by matching the separated typos and correct answers.

In addition, the preprocessor 221 may set words and strings used for each artist as keyword information and extract keyword information for the artist using the BERT model, a natural language model, from the collected artist information.

The reliability evaluation unit 222 uses a classification model to determine whether the collected artist information is information about the artist, outputs a probability value as a prediction result, and can evaluate whether the information is about the artist based on the prediction result.

That is, the reliability evaluation unit 222 may perform a prediction using the classification model to determine whether the artist information collected is information related to the artist.

In addition, the reliability evaluation unit 222 determines whether the artist's information is 'correct' or 'wrong' according to the prediction result of the classification model, and determines one or more of the probability value, annotation information, and annotation score for the judgment result. is output as a prediction result to classify the artist's information, and verification information according to the classification result can also be provided.

In addition, the classification results predicted by the reliability evaluation unit 222 may be provided to the manager through an administrator terminal (not shown), and the classification results may be classified into the artist's information according to approval information input from the administrator terminal. there is.

The artist information management unit 223 classifies the collected artist information by artist based on the evaluation results of the reliability evaluation unit 222 and manages it to be stored in the database 270.

The travel guide management unit 230 sets up a reinforcement learning environment based on the collected user information and artist information and performs a simulation to predict one or more customized travel products that the user may prefer based on the action.

In addition, the travel guide management unit 230 can predict the optimal travel product for the user by performing reinforcement learning that reflects the travel product predicted according to the simulation results and the review score and price of the corresponding travel product as compensation information.

Additionally, the travel guide management unit 230 may transmit the predicted travel product to the user terminal 100 and separately store selected or unselected information about any travel product input from the user terminal 100.

In addition, the travel guide management unit 230 generates travel guide information by combining the user's travel schedule for the selected travel product, the distance and travel time between each travel product, and sends the generated travel guide information to the user terminal 100. ) can be transmitted.

To this end, the travel guide management unit 230 may be configured to include an artificial intelligence modeling unit 231, a travel prediction product matching unit 232, and a travel product management unit 233.

The artificial intelligence modeling unit 231 sets up a reinforcement learning environment based on the collected user information and artist information, and can perform a simulation to predict one or more customized travel products that the user may prefer through reinforcement learning. .

Reinforcement learning aims to find out which action or behavior the reinforcement learning agent, the subject of learning, should take to receive more rewards, and uses trial and error even when there is no set answer. It is an artificial intelligence model that performs a learning process to maximize rewards.

In other words, the artificial intelligence modeling unit 231 performs actions based on the collected user information and artist information to predict travel products that the user may prefer, and rewards review scores and price information for the predicted travel products. By performing reinforcement learning based on information, you can predict the optimal customized travel product for the user.

Here, travel products include places related to the artist, such as the artist's flagship store, artist-specific curation locations, the artist's favorite restaurant, music video filming locations, pictorial filming locations, drama or movie filming locations, goods stores, and fan clubs. Or, a pop-up store operated by a specific fan, a performance location, a pop-up store related to the artist, a place for selling products, props and related products worn or used by the artist, a place for taking photos uploaded by the artist to SNS, etc., and a fan signing event. It may be a place, a place to stay, a place to experience something, etc.

Additionally, the travel product may be content related to the artist, for example, the artist's performance, fan signing event, or specific event.

The travel prediction product matching unit 232 generates travel guide information that combines the predicted travel products and the distance and travel time between each predicted travel product, and transmits the generated travel guide information to the user terminal 100. You can.

Additionally, the travel prediction product matching unit 232 may generate changed travel guide information including a travel product determined according to information on selection or non-selection of a travel product input from the user terminal 100 among the predicted travel products.

That is, the travel prediction product matching unit 232 provides selection information such as the user's ability to add or delete another travel product or change the travel order from the travel guide information based on the travel product predicted through the artificial intelligence modeling unit 231. You can also create changed travel guide information by reflecting it in the travel guide information.

Here, the travel guide information is the user's travel schedule based on a plurality of travel products selected through the user terminal 100, transportation for moving between travel products, travel route for each destination, travel time, and map information based on the location of the travel product. It can be created by matching with .

Additionally, the travel guide information may further include link information for reservations for accommodations, transportation, restaurants, etc.

Additionally, the travel prediction product matching unit 232 may store the travel products selected by the user and the travel products not selected by the user for the predicted travel products, respectively, in separate storage spaces such as a 'shopping cart'.

The travel product management unit 233 matches the generated travel guide information with user information and manages it to be stored in the database 270.

When a user is traveling based on travel guide information, the additional information management unit 240 may extract location information of the user terminal 100 based on a GPS signal.

In addition, the additional information management unit 240 searches for unselected travel products located within a certain range in the shopping cart space storing the unselected travel products, based on the extracted current location of the user terminal 100, and searches for unselected travel products. If so, information about the corresponding travel product can be transmitted to the user terminal 100.

That is, the additional information management unit 240 searches for travel products not included in the current travel guide information among the travel products predicted through the artificial intelligence modeling unit 231, but searches for travel products within a certain range (e.g. For example, by additionally providing information on other unselected travel products located within a 5km radius), it is possible to provide additional experiences of various travel products according to the user's travel situation.

The augmented reality service management unit 250 visualizes and displays the artist's Augmented Reality (AR) object when the user is located at a specific location related to the artist while traveling, so that the reality visible through cameras, etc. at the location related to the artist The image and the virtual image can be overlapped and provided.

To this end, the augmented reality service management unit 250 extracts location information of the user terminal 100 based on the GPS signal when taking a photo, and searches for images of the artist taken at a specific location related to the artist in response to the extracted location information. do.

Additionally, the augmented reality service management unit 250 may classify the artist's silhouette and the surrounding environment into identification elements from the searched image, divide the identified identification elements, and store them.

In addition, the augmented reality service management unit 250 visualizes the divided identification elements, such as artists, surrounding buildings, terrain, etc., using an augmented reality (AR) object model, and visualizes the visualized artists, By providing the surrounding environment, such as buildings and terrain, to the user terminal 100 and displaying a virtual image on the screen of the user terminal 100 when taking a photo using the user terminal 100, the user's travel satisfaction will be increased. make it possible

The Deokjil Mate service management unit 260 can provide a chatbot service using a chatbot program, and the chatbot program can be installed on the user terminal 100.

In addition, the Deokjil Mate service management unit 260 may extract and store location information of the user terminal 100 based on GPS signals, and keywords based on user information, artist information, and travel itinerary information collected from the user terminal 100. .

In addition, the Deokjil Mate service management unit 260 extracts query keywords from random inquiries input from the user terminal 100 through a chatbot program, and converts the extracted query keywords into keywords based on user information, artist information, and travel schedule information. In comparison, the answer sentence or answer form related to the inquiry can be searched in the preset manual and provided to the user terminal 100.

The database 270 stores user information, artist information, and travel guide information, and may include a user information database 271, an artist information database 272, and a travel guide information database 273.

The following describes a travel guide service method for artist fans according to an embodiment of the present invention.

Figure 6 is a flowchart illustrating a travel guide service method for artist fans according to an embodiment of the present invention.

1 to 6, the travel guide service method for artist fans according to an embodiment of the present invention includes the travel guide server 200, an agency server 300 providing information about an arbitrary artist, and a fan club. Information on the artist is collected through crawling by connecting to one or more of the server 400, the SNS server 500, and the travel product provider terminal 600 that provides places and content related to the artist (S100).

In step S100, the travel guide server 200 corrects incorrectly written words or strings in the collected artist information based on preset correction rules and classifies the collected artist information into text data and image data. .

Additionally, the travel guide server 200 can set words and strings used for each artist as keyword information and extract keyword information for the artist using the BERT model, a natural language model, from the collected artist information.

Additionally, the travel guide server 200 may determine whether the collected artist information is information about the artist using a classification model and output a probability value as a prediction result.

Additionally, the travel guide server 200 may evaluate whether the information belongs to the corresponding artist based on the prediction result, and, if the information belongs to the corresponding artist, classifies and stores the information by artist in the database 270.

After performing step S100, the travel guide server 200 collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal 100 (S200), and collects the collected user information. is stored in the database 270.

Continuing, the travel guide server 200 sets up a reinforcement learning environment based on the collected user information and artist information, performs a simulation to predict one or more user-customized travel products through actions, and travels according to the simulation results. The optimal user-customized travel product is predicted (S300) by predicting the product and performing reinforcement learning that reflects the review score and price of the predicted travel product as reward information.

In addition, the travel guide server 200 transmits the predicted travel product to the user terminal 100 in step S300, and based on the predicted travel product, the user's travel schedule, transportation for moving between travel products, and travel route for each destination. , travel time, and travel product location are matched with map information to generate travel guide information (S400), and the generated travel guide information is matched with user information and stored in the database 270 (S500).

Additionally, the travel guide server 200 may generate travel guide information using a travel product determined according to selection or non-selection information of the travel product input from the user terminal 100 among the travel products predicted in step S300.

Additionally, the travel guide server 200 may store travel products selected by the user and travel products not selected by the user in separate storage spaces such as a 'shopping cart'.

Continuing, the travel guide server 200 checks whether the user is traveling based on the generated travel guide information, and if the user is traveling according to the travel guide information, extracts location information of the user terminal 100 based on the GPS signal You can perform analysis on travel situations.

In addition, the travel guide server 200 searches for unselected travel products located within a certain range in the shopping cart space storing the unselected travel products, based on the extracted current location of the user terminal 100, and searches for unselected travel products. Then, information about the corresponding travel product can be transmitted to the user terminal 100 (S600).

That is, in step S600, the travel guide server 200 searches for travel products that are not included in the current travel guide information among travel products predicted through reinforcement learning modeling, and unselected travel products located within a certain range around the currently traveling travel product. By additionally providing information on other travel products, it is possible to provide additional experiences of various travel products according to the user's travel situation.

Through this, the user can easily change the travel itinerary using information on other travel products that can be changed during the scheduled travel schedule, thereby further increasing travel satisfaction.

In addition, when the trip ends, the travel guide server 200 requests evaluation information about travel products, travel guide information, etc. from the user terminal 100, analyzes the evaluation results input from the user terminal 100, and stores them (S700). ) However, reviews and prices for the relevant travel product are extracted and reflected in the reward information of reinforcement learning.

Therefore, location information and content information related to the artist can be searched based on the user's travel schedule information and preference information, and a travel itinerary reflecting the search results can be created and provided.

Additionally, by providing travel information that corresponds to the travel purposes of artists' fans, satisfaction with travel products can be improved.

As described above, the present invention has been described with reference to preferred embodiments, but those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

In addition, the drawing numbers described in the claims of the present invention are only used for clarity and convenience of explanation and are not limited thereto. In the process of explaining the embodiment, the thickness of the lines shown in the drawings, the size of the components, etc. may be exaggerated for clarity and convenience of explanation.

In addition, the above-described terms are terms defined in consideration of the functions in the present invention, and may vary depending on the intention or custom of the user or operator, so interpretation of these terms should be made based on the content throughout the present specification. .

In addition, even if not explicitly shown or explained, a person skilled in the art to which the present invention pertains can make various modifications including the technical idea of the present invention from the description of the present invention. It is self-evident, and it still falls within the scope of the present invention.

In addition, the above embodiments described with reference to the accompanying drawings are described for the purpose of explaining the present invention, and the scope of the present invention is not limited to these embodiments.

100: User terminal 100a: User terminal 1
100b: User terminal n 200: Travel guide server
210: User information collection unit 220: Artist information collection unit
221: Preprocessing unit 222: Reliability evaluation unit
223: Artist information management department 230: Travel guide management department
231: Artificial intelligence modeling unit 232: Travel prediction product matching unit
233: Travel product management department 240: Additional information management department
250: Augmented reality service management department 260; Deokjil Mate Service Management Department
270: Database 271: User information database
272 ; Artist Information Database 273: Travel Guide Information Database
300: Agency server 400: Fan club server
500: SNS server 600: Travel product provider terminal

Claims (15)

Collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal 100,
By connecting to one or more of the agency server 300, the fan club server 400, the SNS server 500, which provides information about an artist, and the travel product provider terminal 600, which provides places and content related to the artist, Collect information about the artist,
Set up a reinforcement learning environment based on the collected user information and artist information, and perform a simulation to predict one or more user-customized travel products through the actions of reinforcement learning.
According to the above simulation results, user-customized travel products are predicted by performing reinforcement learning that reflects the review scores and prices of the predicted travel products as reward information,
A travel guide server 200 that generates travel guide information based on the predicted travel product and provides it to the user terminal 100,
The travel guide server 200 uses a classification model to output a probability value for determining whether the collected artist information is information about the artist as a prediction result, and classifies the collected artist information based on the prediction result. The prediction result for the collected artist information is judged to be 'correct' or 'wrong' based on information related to the artist, and verification information including probability values, annotation information, and annotation scores for the judgment result is provided to the administrator terminal. , according to the approval information input from the manager terminal, the collected artist information is classified and stored as the information of the corresponding artist,
Extract and store keywords based on location information of the user terminal 100 based on GPS signals, user information, artist information, and travel itinerary information collected from the user terminal 100, and extract and store keywords from the user terminal 100 through a chatbot program. Extract query keywords from random inquiries, collect the extracted query keywords from the user terminal 100, compare them with keywords based on stored user information, artist information, and travel itinerary information, and provide answers related to the inquiries in a preset manual. A travel guide service system for artist fans, characterized in that it searches for sentences or answer forms and transmits them to the user terminal (100). delete delete According to claim 1,
A travel guide service system for artist fans, wherein the travel guide information can be changed according to selection and non-selection information of a travel product input from the user terminal 100 among predicted travel products. According to claim 4,
A travel guide service system for artist fans, wherein information on selection and non-selection of the travel product is individually stored in a random storage space. According to claim 1,
The travel guide server 200 includes a user information collection unit 210 that collects user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal 100;
Crawling by accessing one or more of the agency server 300, the fan club server 400, the SNS server 500, which provides information about the artist, and the travel product provider terminal 600, which provides places and content related to the artist. Collect the relevant artist information through crawling, correct incorrectly written words or strings in the collected artist information based on preset correction rules, and then identify the artist using a natural language model from the corrected artist information. Keyword information about the artist is extracted based on words and strings set for each artist, and the probability value determined whether the collected artist information is information about the artist is output as a prediction result using a classification model. Based on the prediction result, Classify the collected artist information, determine whether the prediction result for the collected artist information is 'correct' or 'wrong' based on information related to the artist, and determine the probability value, annotation information, and annotation score for the judgment result. An artist information collection unit 220 that provides the included verification information to an administrator terminal and classifies and stores the collected artist information as information about the artist according to approval information input from the administrator terminal;
A reinforcement learning environment is set up based on the collected user information and classified artist information, and a simulation is performed to predict one or more user-customized travel products based on the user's preferred travel pattern through reinforcement learning actions, According to the simulation results, reinforcement learning is performed by reflecting the review score and price of the predicted travel product as compensation information to predict a user-customized travel product, and based on the predicted travel product, the travel product input from the user terminal 100 is a travel guide management unit 230 that generates travel guide information from results determined according to selection and non-selection information and transmits it to the user terminal 100;
Based on the location information of the user terminal 100 traveling according to the travel guide information provided to the user terminal 100 based on the GPS signal, and the user information, artist information, and travel schedule information collected from the user terminal 100 Extract keywords, search for other travel product information located within a certain range based on the extracted current location of the user terminal 100, and transmit it to the user terminal 100, with travel guide information changed according to the user's selection information. Generates and transmits to the user terminal 100, extracts query keywords from random inquiries from the user terminal 100 through a chatbot program, and collects and stores the extracted query keywords from the user terminal 100. User information , an additional information management unit 240 that searches for answer sentences or answer forms related to the inquiry in a preset manual by comparing them with keywords based on artist information and travel itinerary information and transmits them to the user terminal 100; and
A travel guide service system for artist fans, comprising a database 270 that stores the user information, artist information, and travel guide information. delete According to claim 6,
The travel guide server 200 extracts location information of the user terminal 100 based on the GPS signal,
Search for images of artists taken at a specific location corresponding to the location information, divide the artist's silhouette and surrounding environment into identification elements from the searched images, and divide the identified elements into identification elements.
The divided identification element further includes an augmented reality service management unit 250 that displays the divided identification element on the screen when taking pictures using the user terminal 100 through visualization using an augmented reality (AR) object model. Travel guide service system for fans. According to claim 6,
The travel guide server 200 provides a chatbot service through a chatbot program running on the user terminal 100,
Extract and store location information of the user terminal 100 based on GPS signals, and keywords based on user information, artist information, and travel itinerary information collected from the user terminal 100,
By comparing query keywords extracted from arbitrary inquiries input from the user terminal 100 with keywords based on the user information, artist information, and travel itinerary information, an answer sentence format related to the inquiry is searched in a preset manual. A travel guide service system for artist fans, further comprising a Deokjil Mate service management unit 260 provided to the user terminal 100. The method according to any one of paragraphs 8 and 9 of paragraph 6,
The artist information collection unit 220 corrects incorrectly written words or strings in the collected artist information based on preset correction rules, and then uses a natural language model from the corrected artist information to create words and strings set for each artist. A preprocessor 221 that extracts keyword information about the artist based on the string;
Using the classification model, the probability value determined whether the collected artist information is information about the artist is output as a prediction result, and the collected artist information is classified based on the prediction result. The prediction result for the collected artist information determines 'correct' or 'wrong' based on information related to the artist in question, provides verification information including probability value, annotation information, and annotation score for the judgment result to the administrator terminal, and approves the approval input from the administrator terminal. a reliability evaluation unit 222 that classifies the collected artist information as information of the corresponding artist according to the information; and
A travel guide service system for artist fans, comprising: an artist information management unit 223 that classifies and manages the collected artist information to be stored as information about the artist based on the classification results. The method according to any one of paragraphs 8 and 9 of paragraph 6,
The travel guide management unit 230 sets up a reinforcement learning environment based on the collected user information and artist information, performs a simulation to predict one or more user-customized travel products through reinforcement learning actions, and reports the simulation results. An artificial intelligence modeling unit 231 that predicts user-customized travel products by performing reinforcement learning that reflects the review scores and prices of the predicted travel products as reward information;
Based on the predicted travel product, the travel product selection and non-selection information input from the user terminal 100 is reflected, and the travel product is matched with the travel itinerary, transportation, travel route for each destination, travel time, and map information to provide a travel guide. A travel prediction product matching unit 232 that generates information; and
A travel guide service system for artist fans, comprising: a travel product management unit 233 that matches the generated travel guide information with user information and manages it to be stored. a) The travel guide server 200 includes an agency server 300, a fan club server 400, an SNS server 500 that provides information about an arbitrary artist, and a travel product provider terminal that provides locations and content related to the artist. Collecting corresponding artist information by accessing one or more of (600);
b) the travel guide server 200 collecting user information including user profile information, artists information, travel schedule information, and user preference information from the user terminal 100;
c) The travel guide server 200 uses a classification model to output a probability value determined as whether the collected artist information is information about the artist as a prediction result, and classifies the collected artist information based on the prediction result. ,
The prediction result for the collected artist information is judged to be 'correct' or 'wrong' based on information related to the artist, and verification information including probability value, annotation information, and annotation score for the judgment result is provided to the administrator terminal. And, according to the approval information input from the administrator terminal, the collected artist information is classified and stored as the artist's information, a reinforcement learning environment is set based on the collected user information and the classified artist information, and reinforcement learning is performed. A simulation is performed to predict one or more user-customized travel products through the actions of
Predicting a user-customized travel product by performing reinforcement learning that reflects the review score and price of the travel product predicted according to the simulation results as reward information;
d) The travel guide server 200 generates and stores travel guide information by matching it with the selection and non-selection information of the travel product input from the user terminal 100 based on the predicted travel product, and stores the generated travel guide information. Transmitting to the user terminal 100; and
e) the travel guide server 200 extracts and stores keywords based on location information of the user terminal 100 based on GPS signals, user information, artist information, and travel itinerary information collected from the user terminal 100, Query keywords are extracted from random inquiries from the user terminal 100 through a chatbot program, and the extracted query keywords are collected from the user terminal 100 and compared with keywords based on stored user information, artist information, and travel itinerary information. A travel guide service method for artist fans, comprising: searching for answer sentences or answer forms related to the inquiry in a preset manual and transmitting them to the user terminal (100). delete According to claim 12,
In step c), incorrectly written words or strings in the collected artist information are corrected based on preset correction rules, and then the corrected artist information is corrected based on the words and strings set for each artist using a natural language model. Extract keyword information about the artist,
Using the classification model, the probability value determined whether the collected artist information is information about the artist is output as a prediction result, and the collected artist information is classified based on the prediction result. The prediction result for the collected artist information determines 'correct' or 'wrong' based on information related to the artist in question, provides verification information including probability values, annotation information, and annotation scores for the judgment result to the administrator terminal, and approves input from the administrator terminal. A travel guide service method for artist fans, further comprising: classifying and storing the collected artist information as information about the artist according to the information. According to clause 12,
A travel guide service method for artist fans, wherein the travel guide information in step d) is generated by matching travel itinerary, transportation, travel route for each destination, travel time, and map information based on the predicted travel product.

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