Customized Travel Recommendation System

Abstract

A user-customized travel recommendation system comprises a user terminal including a user communication unit that communicates with an external device, a user input unit for inputting user commands, a display unit for displaying travel information, and a user control unit that controls the user communication unit to transmit user information to a preset external device when user information is input through the user input unit, and controls the display unit to display recommended travel information received in response to the transmission of user information; a recommendation server including a server communication unit that communicates with the user communication unit, and a server control unit that stores information on activities including leisure, sports, and food regarding multiple travel destinations and travel courses, identifies preferred user information including leisure, sports, and food preferred by the user using user information received through the server communication unit, calculates recommended travel destinations and recommended travel courses recommended to the user based on the identified preferred user information, and controls the server communication unit to transmit them to the user terminal.

Description

Technology Field

[0001] The present invention relates to a user-customized travel recommendation system, and more specifically, to a user-customized travel recommendation system that recommends travel that provides the user with the activities they prefer. Background Technology

[0003] Due to recent advancements in information and communication technology and the utilization of big data, various research and development efforts are underway to apply artificial intelligence, commonly known as AI, to diverse fields.

[0004] Meanwhile, due to improvements in transportation infrastructure and advancements in information and communication technology, many people are traveling domestically and internationally, and the number of people enjoying travel is steadily increasing due to the development of the internet and personal media.

[0005] Accordingly, although travel products and travel recommendation services are provided in various ways and forms, there were limitations in accurately providing the travel products or recommendation services users wanted due to the excessive number of factors to consider, such as transportation, accommodation, tourist attractions, restaurants, leisure, and sports.

[0006] In particular, for travel packages, most involved pre-determining transportation, accommodation, and tourist attractions, allowing users to select the travel package they desired.

[0007] Furthermore, even if users plan and execute their own travel itineraries, there is a problem in that it is difficult to individually verify whether transportation, accommodation, restaurants at tourist attractions, leisure activities, or sports can be booked and utilized for their desired schedule and at their preferred prices. Additionally, even if travel recommendation services are provided, there is a problem in that their active use is hindered due to low user trust. Prior art literature

[0009] Republic of Korea Published Patent No. 10-2025-0001362 {January 6, 2025} The problem to be solved

[0010] Therefore, the objective of the present invention is to provide a user-customized travel recommendation system capable of identifying the activities preferred by the user and calculating and providing recommended travel destinations and travel courses that match those preferences. means of solving the problem

[0012] A user-customized travel recommendation system according to the present invention for achieving the above objective comprises: a user terminal including a user communication unit communicating with an external device, a user input unit for inputting user commands, a display unit for displaying travel information, and a user control unit that controls the user communication unit to transmit user information to a preset external device when user information is input to the user input unit, and controls the display unit to display recommended travel information received in response to the transmission of user information; and a recommendation server including a server communication unit communicating with the user communication unit, and a server control unit that stores information on leisure, sports, and food regarding a plurality of travel destinations and travel courses, identifies preferred user information including leisure, sports, and food preferred by the user using the user information received by the server communication unit, calculates recommended travel destinations and recommended travel courses recommended to the user based on the identified preferred user information, and controls the server communication unit to transmit to the user terminal. By identifying the leisure activities preferred by the user using user information and providing recommended travel destinations and recommended travel courses that match the identified leisure activities, customized travel information desired by the user can be provided, and the user's satisfaction with the travel information can be improved.

[0013] Here, it is desirable that the aforementioned user information include SNS account information, user activity information regarding the user's daily life and travel activities, user payment information including payment history made during the user's daily life and travel, travel history information including leisure, sports, and food in the user's travel history, and user preference information regarding leisure, sports, and food the user wishes to do, as this enables accurate identification of the activities the user desires and the activities they do not enjoy.

[0014] Furthermore, the server control unit stores evaluation information for each of the enjoyment information, including leisure, sports, and food, for multiple travel destinations and travel courses. By assigning weights based on the evaluation information to calculate recommended travel destinations and travel courses according to user information, it is desirable to be able to select and provide places with good evaluations of enjoyment, as user satisfaction decreases if the evaluation of the enjoyment at a travel destination is poor, even if the enjoyment desired by the user is identified.

[0015] Here, the server control unit controls the server communication unit to collect user-related information, including images and phrases related to the user, on a network using the user information, learns and analyzes the collected user-related information using an artificial intelligence model, generates personalized gourmet experience information including ingredients, menus, restaurants, and regional information based on the analysis results, and when the generated gourmet experience information is provided to the user terminal, it collects user-related information using the user's basic information and analyzes it using an artificial intelligence model to generate and recommend personalized gourmet experience information including ingredients, menus, restaurants, and regional information, which is desirable as it can improve user satisfaction.

[0016] Furthermore, the server control unit, upon receiving user preference information from the user terminal, collects related materials, related menus, related restaurants, related regional information, and related evaluation information based on the received user preference information; learns and analyzes the collected related materials, related menus, related restaurants, related regional information, and related evaluation information using an artificial intelligence model; and corrects the gourmet experience information generated based on the analysis results, thereby enabling the correction of gourmet experience information by collecting and analyzing related materials, related menus, related restaurants, related regional information, and related evaluation information using the user preference information.

[0017] Here, the server control unit collects reviews regarding the related materials, related menus, related restaurants, and related regional information, learns and analyzes the collected reviews using an artificial intelligence model, and applies the analysis results to the related evaluation information. This allows for the generation and correction of gourmet experience information.

[0018] Furthermore, the server control unit collects information regarding recommendations, sharing, and downloads for each of the related materials, related menus, related restaurants, and related regional information, assigns evaluation weights to each of the collected recommendations, sharing, and downloads, and calculates an evaluation score based on the evaluation weights assigned to each of the related materials, related menus, related restaurants, and related regional information, thereby making it desirable to calculate an evaluation score using recommendations, sharing, and downloads of related materials, related menus, related restaurants, and related regional information. Effects of the invention

[0020] According to the present invention, user information is used to identify the activities preferred by the user, and recommended travel destinations and travel courses suitable for the identified activities are provided, thereby enabling the provision of customized travel information desired by the user and improving the user's satisfaction with the travel information.

[0021] In addition, it has the effect of accurately identifying what users enjoy and what they do not.

[0022] In addition, even if the activities users desire are identified, user satisfaction decreases if the reviews of the attractions at the travel destination are poor; therefore, this has the effect of selecting and providing places with good reviews for the attractions.

[0023] In addition, by collecting user-related information using basic user data and analyzing it using an artificial intelligence model, personalized gourmet experience information including ingredients, menus, restaurants, and local information can be generated, recommended, and provided, which has the effect of enhancing user satisfaction.

[0024] In addition, by utilizing user preference information to collect and analyze related ingredients, menus, restaurants, regional information, and evaluation information, it is possible to correct gastronomic experience information.

[0025] In addition, it has the effect of generating and correcting gourmet experience information by analyzing reviews of related ingredients, menus, restaurants, and local information and applying them to related evaluation information.

[0026] In addition, it has the effect of calculating evaluation scores by utilizing recommendations, sharing, and downloads of related materials, related menus, related restaurants, and related local information. Brief explanation of the drawing

[0028] FIG. 1 is an overall control block diagram of a user-customized travel recommendation system according to the present invention. Figure 2 is a control block diagram of a user terminal and a recommendation server. Figure 3 is a control block diagram of a manager terminal and an entertainment terminal. FIG. 4 is a flowchart of a first embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system according to the present invention. Figure 5 is a flowchart of a second embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system. Figure 6 is a flowchart of a third embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system. Figure 7 is a flowchart of a fourth embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system. FIG. 8 is a flowchart of the fifth embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system. Specific details for implementing the invention

[0029] Hereinafter, a user-customized travel recommendation system (1) according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings.

[0030] FIG. 1 is an overall control block diagram of a user-customized travel recommendation system (1) according to the present invention, FIG. 2 is a control block diagram of a user terminal (10) and a recommendation server (20), and FIG. 3 is a control block diagram of an administrator terminal (30) and an entertainment terminal (40).

[0031] The configuration of the user-customized travel recommendation system (1) is explained with reference to FIGS. 1 to 3.

[0032] The user-customized travel recommendation system (1) includes a user terminal (10), a recommendation server (20), an administrator terminal (30), and an entertainment terminal (40).

[0033] The user terminal (10) includes a user communication unit (11), a user display unit (12), a user input unit (13), a user camera (14), a user speaker (15), a user microphone (16), and a user control unit (17).

[0034] The user communication unit (11) communicates with an external device. The user communication unit (11) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The user communication unit (11) receives a video signal and transmits it to the user control unit (17) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the user communication unit (11) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the user communication unit (11) may include a tuner that tunes the broadcast signal by channel.

[0035] The user display unit (12) displays travel information. The user display unit (12) displays an image based on an image signal processed by image processing. The implementation method of the user display unit (12) is not limited and can be implemented using various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nanocrystal, etc.

[0036] The user display unit (12) may additionally include additional configurations depending on the implementation method. For example, if the user display unit (12) is a liquid crystal type, the user display unit (12) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The user display unit (12) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The user display unit (12) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the user display unit (12), and can select a command corresponding to the voice spoken by the user from among the displayed candidate commands by operating the user input unit (13) provided on the remote control, or select and check information related to the voice recognition result.

[0037] The user input unit (13) is an input means for inputting user commands. The user input unit (13) can receive user touch input or remote input using a remote controller and transmit it to the corresponding user control unit (117). Additionally, the user input unit (13) can receive voice input spoken by the user and transmit the voice signal to the user control unit (17). In that case, the user input unit (13) can be implemented, for example, as a microphone. The user input unit (13) may also perform signal processing on the received voice signal itself. However, the form of user input that the user input unit (13) can receive is not limited to this, and user input such as motion recognition can also be received.

[0038] The user camera (14) can photograph the outside and the front including the user.

[0039] The user speaker (15) can output a total of voices including the voice of the video, the voice of the application, and the voice of the user.

[0040] The user microphone (16) can receive a whole of voices including the voice of the video, the voice of the application, and the voice of the user.

[0041] The user control unit (17) controls the user communication unit (11) to transmit user information to a preset external device when user information is input to the user input unit (13), and controls the display unit (12) to display recommended travel information received in response to the transmission of user information.

[0042] The recommendation server (20) includes a server communication unit (21), a server display unit (22), a server input unit (23), and a server control unit (24).

[0043] The server communication unit (21) communicates with the user communication unit (11). The server communication unit (21) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The server communication unit (21) receives a video signal and transmits it to the server control unit (24) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the server communication unit (21) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the server communication unit (21) may include a tuner that tunes the broadcast signal by channel.

[0044] The server display unit (22) displays an image based on an image signal processed by image processing. The implementation method of the server display unit (22) is not limited and can be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nano-crystal, etc.

[0045] The server display unit (22) may additionally include additional configurations depending on the implementation method. For example, if the server display unit (22) is a liquid crystal type, the server display unit (22) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The server display unit (22) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The server display unit (22) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the server display unit (22), and can select a command corresponding to the voice spoken by the user from among the displayed candidate commands by operating the server input unit (23) provided on the remote control, or select and check information related to the voice recognition result.

[0046] The server input unit (23) may be composed of an input means through which a user can input user commands. The server input unit (23) may receive a user's touch input or a user's remote input using a remote controller and transmit it to the corresponding server control unit (24). Additionally, the server input unit (23) may receive voice input spoken by the user and transmit the voice signal to the server control unit (24). In that case, the server input unit (23) may be implemented, for example, as a microphone. The server input unit (23) may also perform signal processing on the received voice signal itself. However, the form of user input that the server input unit (23) can receive is not limited to this, and user input such as motion recognition may also be received.

[0047] The server control unit (24) stores information on leisure, sports, and food for a plurality of travel destinations and travel courses, identifies preferred user information including leisure, sports, and food preferred by the user using user information received by the server communication unit (21), and controls the server communication unit (21) to calculate recommended travel destinations and recommended travel courses recommended to the user based on the identified preferred user information and transmit them to the user terminal (10).

[0048] The server control unit (24) stores evaluation information for each of the leisure, sports, and food information for a plurality of travel destinations and travel courses, and can calculate recommended travel destinations and recommended travel courses according to user information by assigning weights based on the evaluation information.

[0049] The server control unit (24) controls the server communication unit (21) to collect user-related information including images and text related to the user on the network using user information, learns and analyzes the collected user-related information using an artificial intelligence model, generates personalized gourmet experience information including ingredients, menus, restaurants, and local information based on the analysis results, and can provide the generated gourmet experience information to the user terminal (10).

[0050] When the server control unit (24) receives user preference information from the user terminal (10), it collects related materials, related menus, related restaurants, related regional information, and related evaluation information based on the received user preference information, learns and analyzes the collected related materials, related menus, related restaurants, related regional information, and related evaluation information using an artificial intelligence model, and can correct the gourmet experience information generated based on the analysis results.

[0051] The server control unit (24) collects reviews regarding related materials, related menus, related restaurants, and related regional information, and uses an artificial intelligence model to learn and analyze the collected reviews and apply the analysis results to the related evaluation information.

[0052] The server control unit (24) collects information on recommendations, sharing, and downloads for each of the related materials, related menus, related restaurants, and related area information, assigns evaluation weights to each of the collected recommendations, sharing, and downloads, and can calculate an evaluation score based on the evaluation weights assigned to each of the related materials, related menus, related restaurants, and related area information.

[0053] The administrator terminal (30) includes an administrator communication unit (31), an administrator display unit (32), an administrator input unit (33), an administrator camera (34), an administrator speaker (35), an administrator microphone (36), and an administrator control unit (37).

[0054] The manager communication unit (31) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The manager communication unit (31) receives a video signal and transmits it to the manager control unit (37) described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the manager communication unit (31) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the manager communication unit (31) may include a tuner that tunes the broadcast signal by channel.

[0055] The manager display unit (32) displays an image based on an image signal processed by image processing. The implementation method of the manager display unit (32) is not limited and can be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nano-crystal, etc.

[0056] The manager display unit (32) may additionally include additional configurations depending on the implementation method. For example, if the manager display unit (32) is a liquid crystal type, the manager display unit (32) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The manager display unit (32) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The manager display unit (32) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the manager display unit (12), and can select a command corresponding to the voice spoken by the user from among the displayed candidate commands by operating the manager input unit (33) provided on the remote control, or select and check information related to the voice recognition result.

[0057] The administrator input unit (33) may be composed of an input means through which a user can input user commands. The administrator input unit (33) may receive a user's touch input or a user's remote input using a remote controller and transmit it to the corresponding administrator control unit (37). Additionally, the administrator input unit (33) may receive voice input spoken by the user and transmit the voice signal to the administrator control unit (37). In that case, the administrator input unit (33) may be implemented, for example, as a microphone. The administrator input unit (33) may also perform signal processing on the received voice signal itself. However, the form of user input that the administrator input unit (33) can receive is not limited to this, and user input such as motion recognition may also be received.

[0058] The manager camera (34) can photograph the outside and the front.

[0059] The manager speaker (35) can output a total of voices including the voice of the video, the voice of the application, and the voice of the user.

[0060] The manager microphone (36) can receive all voices including the voice of the video, the voice of the application, and the voice of the user.

[0061] The administrator control unit (37) controls the administrator communication unit (31) so that when an administrator's command is entered, the administrator command is transmitted to the recommendation server (20).

[0062] The entertainment terminal (40) includes an entertainment communication unit (41), an entertainment display unit (42), an entertainment input unit (43), an entertainment camera (44), an entertainment speaker (45), an entertainment microphone (46), and an entertainment control unit (47).

[0063] The entertainment communication unit (41) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The entertainment communication unit (41) receives a video signal and transmits it to the entertainment control unit (47) described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the entertainment communication unit (41) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the entertainment communication unit (41) may include a tuner that tunes the broadcast signal by channel.

[0064] The entertainment display unit (42) displays an image based on an image signal processed by image processing. The implementation method of the entertainment display unit (42) is not limited and can be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nano-crystal, etc.

[0065] The entertainment display unit (42) may additionally include additional configurations depending on the implementation method. For example, if the entertainment display unit (42) is a liquid crystal type, the entertainment display unit (42) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The entertainment display unit (42) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The entertainment display unit (42) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the entertainment display unit (42), and can select a command corresponding to the voice spoken by the user from among the displayed candidate commands by operating the entertainment input unit (43) provided on the remote control, or select and check information related to the voice recognition result.

[0066] The entertainment input unit (43) may be composed of an input means through which a user can input user commands. The entertainment input unit (43) may receive a user's touch input or a user's remote input using a remote controller and transmit it to the corresponding entertainment control unit (47). Additionally, the entertainment input unit (43) may receive voice input spoken by the user and transmit the voice signal to the entertainment control unit (47). In that case, the entertainment input unit (43) may be implemented, for example, as a microphone. The entertainment input unit (43) may also perform signal processing on the received voice signal itself. However, the form of user input that the entertainment input unit (43) can receive is not limited to this, and user input such as motion recognition may also be received.

[0067] The entertainment camera (44) can take pictures of the outside and the front.

[0068] The entertainment speaker (45) can output a total of voices including the voice of the video, the voice of the application, and the voice of the user.

[0069] The entertainment microphone (46) can receive all voices including the voice of the video, the voice of the application, and the voice of the user.

[0070] The entertainment control unit (47) can control the entertainment communication unit (41) to transmit images, evaluation information, and food information of the entertainment restaurant to the recommendation server (20) in response to a request to receive information about the entertainment restaurant received from the recommendation server (20).

[0071] User information may include SNS account information, user activity information regarding the user's daily life and travel activities, user payment information including payment history made during the user's daily life and travel, travel history information including leisure, sports, and food in the user's travel history, and user desire information regarding leisure, sports, and food the user wants to do.

[0072] FIG. 4 is a flowchart of a first embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system according to the present invention.

[0073] Information on activities including leisure, sports, and food for multiple travel destinations and travel courses is stored (S1).

[0074] The user inputs user information into the user terminal (10) (S2).

[0075] User information is transmitted from the user terminal (10) to the recommendation server (20) (S3).

[0076] The recommendation server (20) identifies user preference information including leisure, sports, and food preferred by the user using user information (S4).

[0077] Based on the preferred user information identified by the recommendation server (20), recommended travel destinations and recommended travel courses are calculated to be recommended to the user (S5).

[0078] The calculated recommended travel destination and recommended travel course information is transmitted to the user terminal (10) (S6).

[0079] Figure 5 is a flowchart of a second embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system.

[0080] Information on activities including leisure, sports, and food for multiple travel destinations and travel courses, and evaluation information for each of the information on activities including leisure, sports, and food for multiple travel destinations and travel courses are stored (S11).

[0081] User information is input into the user terminal (10), including SNS account information, user activity information regarding the user's daily life and travel activities, user payment information including payment history regarding payments made during the user's daily life and travel, travel history information including leisure, sports, and food in the user's travel history, and user wish information regarding leisure, sports, and food that the user wants to do (S12).

[0082] User information is transmitted from the user terminal (10) to the recommendation server (20) (S13).

[0083] The recommendation server (20) uses user information to identify preferred user information including leisure, sports, and food that the user prefers (S14).

[0084] Based on the preferred user information and evaluation information identified by the recommendation server (20), weights are assigned to calculate recommended travel destinations and recommended travel courses according to user information (S15).

[0085] The calculated recommended travel destination and recommended travel course information is transmitted to the user terminal (10) (S16).

[0086] Figure 6 is a flowchart of a third embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system.

[0087] Information on activities including leisure, sports, and food for multiple travel destinations and travel courses, and evaluation information for each of the information on activities including leisure, sports, and food for multiple travel destinations and travel courses are stored (S21).

[0088] User information is input into the user terminal (10), including SNS account information, user activity information regarding the user's daily life and travel activities, user payment information including payment history regarding payments made during the user's daily life and travel, travel history information including leisure, sports, and food in the user's travel history, and user wish information regarding leisure, sports, and food that the user wants to do (S22).

[0089] User information is transmitted from the user terminal (10) to the recommendation server (20) (S23).

[0090] The recommendation server (20) uses user information to identify preferred user information including leisure, sports, and food that the user prefers (S24).

[0091] Based on the preferred user information and evaluation information identified by the recommendation server (20), weights are assigned to calculate recommended travel destinations and recommended travel courses according to user information (S25).

[0092] The calculated recommended travel destination and recommended travel course information is transmitted to the user terminal (10) (S26).

[0093] User-related information including images and text related to the user is collected on the network using user information (S27).

[0094] User-related information collected using an artificial intelligence model is learned and analyzed, and based on the analysis results, personalized gourmet experience information including ingredients, menu, restaurant and local information is generated (S28).

[0095] Gourmet experience information generated by the user terminal (10) is provided (S29).

[0096] Figure 7 is a flowchart of a fourth embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system.

[0097] Receive user preference information (S31).

[0098] Based on the received user preference information, related materials, related menus, related restaurants, related regional information and related evaluation information are collected (S32).

[0099] The collected related materials, related menus, related restaurants, related regional information and related evaluation information are learned and analyzed using an artificial intelligence model (S33).

[0100] The culinary experience information generated based on the analysis results is corrected (S34).

[0101] FIG. 8 is a flowchart of the fifth embodiment of a user-customized travel recommendation method using a user-customized travel recommendation system.

[0102] Collect reviews on related ingredients, related menus, related restaurants, and related local information (S41).

[0103] The collected reviews are trained and analyzed using an artificial intelligence model, and the analysis results are applied to the relevant evaluation information (S42).

[0104] Information regarding recommendations, sharing, and downloads for each of the related materials, related menus, related restaurants, and related local information is collected (S43).

[0105] Each of the collected recommendations, shares, and downloads is assigned an evaluation weight (S44).

[0106] Evaluation scores are calculated based on evaluation weights assigned to each of the related materials, related menus, related restaurants, and related regional information (S45).

[0107] Modifiable embodiments other than the above embodiments are described.

[0108] The control unit requests video footage of a related restaurant from an entertainment terminal of a pre-set top-ranked related restaurant, and in response to the request, analyzes the received video footage of the related restaurant to analyze the age group of visitors to the related restaurant and provides it to the user terminal.

[0109] The control unit can use an artificial intelligence model to learn and analyze video footage of a relevant restaurant received in response to a request, calculate an evaluation score based on customer reactions of the relevant restaurant, and provide it to a user terminal.

[0110] The control unit stores region information for each of multiple regions and multiple recommended regions corresponding to each of multiple user information. Upon receiving multiple user information and a region recommendation request from a user terminal, it searches for multiple recommended regions corresponding to the multiple user information using an artificial intelligence model, and provides the multiple recommended regions corresponding to the received multiple user information and the region information for each of the multiple recommended regions to the user terminal.

[0111] The control unit stores evaluation information for each of a plurality of regions and can provide a plurality of recommended regions according to each of a plurality of user information by assigning weights based on the evaluation information.

[0112] The control unit can provide multiple recommended areas and regional information based on multiple user information including multiple activity base locations, such as the locations of the user and family's workplaces, activity sites, and schools; travel conditions, such as travel distances and travel times associated with each of the multiple activity base locations; and real estate conditions, such as the price of real estate and infrastructure surrounding the real estate.

[0113] The control unit collects traffic data for each of the multiple recommended areas through a network and can calculate and provide the average travel time from each of the multiple recommended areas to the multiple activity base locations during the activity travel time, based on the multiple activity base locations including workplaces, activity sites, and school locations, activity travel times, and traffic data.

[0114] The control unit stores regional environment images including popular locations, popular events, popular images, and popular videos for each of a plurality of regions, extracts sentiment keywords from a plurality of user information, and can provide regional information including a plurality of recommended regions to which sentiment keywords are applied and regional environment images for each of the plurality of recommended regions.

[0115] Regional information for each of the multiple regions may include population size, inflow / outflow ratio, population ratio by household, cost of living, cultural facilities, hospitals and clinics, festivals and events, weather, support policies, and public data.

[0116] Multiple user information may include age, gender, number of household members, children, presence of pets, occupation, region of origin, and interest information obtained through surveys.

[0117] Evaluation information for each of the multiple regions may include the evaluator's user information, type of stay, region, duration of residence, satisfaction, recommendation score, and reviews.

[0118] The control unit extracts information on multiple real estate brokers in a recommended area, collects information related to the multiple real estate brokers extracted through a network, and can calculate and provide to the user an evaluation score for each of the multiple real estate brokers based on the collected information related to the multiple real estate brokers.

[0119] The control unit can transmit multiple real estate recommendation requests corresponding to user information to the terminal of a real estate agent selected by the user.

[0120] When the control unit receives multiple recommended real estate information in response to multiple real estate recommendation requests from a real estate agent's terminal, it identifies the market price of the same property corresponding to the multiple recommended real estate information through the network and can provide the identified market price information to the user.

[0121] The control unit can calculate and provide the monthly average transportation cost to the user based on the average travel time from each of the multiple recommended areas to the multiple activity base locations.

[0122] The control unit has a travel schedule and recommends restaurants according to the schedule, and can make reservations and place orders in advance.

[0123] The control unit can analyze photos on social media to guide users toward restaurants they may be interested in, and can provide information to help them manage their travel itinerary efficiently without confusion.

[0124] The control unit sends an alarm to the restaurant if the travel schedule is delayed, and can also predict the time of arrival by considering the travel schedule and distance, and send the predicted time information to the restaurant.

[0125] The control unit can provide information on the ingredients used in the food on the menu of each restaurant. The control unit can primarily provide the ingredients to the user if they are stored or available for collection, but if there is no information about the ingredients, it requests the restaurant to provide information about the ingredients, and can provide the received ingredient information from the restaurant to the user and store it.

[0126] The control unit may also inform the user of the ingredients for restaurant food that has not been disclosed, through secondary photo analysis.

[0127] The control unit identifies which country and region the user is from and can provide gourmet experience information by prioritizing restaurants that offer food similar to the food of the identified country and region.

[0128] When the control unit receives input from a user to change a reservation for travel or a restaurant to delivery / takeout because the schedule does not match, it can transmit to the restaurant that the reservation information is being changed to delivery / takeout information.

[0129] The control unit can notify the user of the remaining time information before the preset time based on the reservation time of the reserved restaurant, and upon receiving input from the user regarding movement to the reserved restaurant, it can collect traffic information through the network to calculate the time of movement to the reserved restaurant and the time of arrival, and transmit this information to the user and the restaurant to notify them.

[0130] The control unit can recommend restaurants based on the user's location, recommend restaurants based on the number of visits, and identify the visit cycle to prioritize recommending restaurants with the longest history of visits.

[0131] The control unit may also recommend restaurants based on the user's situation, based on contextual information regarding the surrounding environment and user behavior, such as location information, weather information, temperature information, atmospheric measurement information, and day of the week information.

[0132] By using the above-described user-customized travel recommendation system (1) and user-customized travel recommendation method, user information is used to identify the activities preferred by the user, and recommended travel destinations and recommended travel courses are provided to match the identified activities, thereby providing customized travel information that the user wants and improving the user's satisfaction with the travel information.

[0133] In addition, it is possible to accurately identify what users enjoy and what they do not.

[0134] In addition, even if the activities desired by the user are identified, user satisfaction decreases if the reviews of the attractions at the travel destination are poor; therefore, places with good reviews of attractions can be selected and provided.

[0135] In addition, user-related information is collected using the user's basic information, and by analyzing it using an artificial intelligence model, personalized gourmet experience information including ingredients, menus, restaurants, and local information can be generated, recommended, and provided, thereby enhancing user satisfaction.

[0136] In addition, gastronomic experience information can be corrected by collecting and analyzing related ingredients, related menus, related restaurants, related regional information, and related evaluation information using user preference information.

[0137] In addition, reviews of related ingredients, menus, restaurants, and local information can be analyzed and applied to related evaluation information to generate and correct gourmet experience information.

[0138] In addition, evaluation scores can be calculated by utilizing recommendations, sharing, and downloads of related materials, related menus, related restaurants, and related local information. Explanation of the symbols

[0140] 1: User-customized travel recommendation system 10: User terminal 11: User Communication Department 12: User display section 13: User Input Section 14: User Camera 15: User Speaker 16: User Microphone 17: User Control Unit 20: Recommended Server 21: Server Communications Department 22: Server Display Section 23: Server Input Section 24: Server Control Unit 30: Administrator terminal 31: Administrator Communications Department 32: Administrator Display Section 33: Administrator Input Section 34: Administrator Camera 35: Admin Speaker 36: Admin Microphone 37: Administrator Control Unit 40: Entertainment terminal 41: Entertainment Department 42: Entertainment Display Section 43: Entertainment Input Section 44: Things to do Camera 45: Things to Enjoy Speaker 46: Things to Enjoy Microphone 47: Entertainment Control Unit

Claims

Claim 1 A user-customized travel recommendation system comprising: a user terminal including a user communication unit communicating with an external device, a user input unit for inputting user commands, a display unit for displaying travel information, and a user control unit that controls the user communication unit to transmit user information to a preset external device when user information is input to the user input unit, and controls the display unit to display recommended travel information received in response to the transmission of user information; and a recommendation server comprising a server communication unit communicating with the user communication unit and a server control unit that stores information on leisure, sports, and food regarding a plurality of travel destinations and travel courses, identifies preferred user information including leisure, sports, and food preferred by the user using the user information received by the server communication unit, and calculates recommended travel destinations and recommended travel courses recommended to the user based on the identified preferred user information and controls the server communication unit to transmit them to the user terminal. Claim 2 A user-customized travel recommendation system according to claim 1, wherein the user information comprises: SNS account information; user activity information regarding the user's daily life and travel activities; user payment information including payment history made during the user's daily life and travel; travel history information including leisure, sports, and food in the user's travel history; and user wish information regarding leisure, sports, and food that the user wants to do. Claim 3 A user-customized travel recommendation system according to claim 2, wherein the server control unit stores evaluation information for each of the enjoyment information including leisure, sports, and food for a plurality of travel destinations and travel courses, and calculates recommended travel destinations and recommended travel courses according to user information by assigning weights based on the evaluation information. Claim 4 A user-customized travel recommendation system according to claim 3, wherein the server control unit controls the server communication unit to collect user-related information including images and phrases related to the user on a network using the user information, learns and analyzes the collected user-related information using an artificial intelligence model, generates personalized gourmet experience information including ingredients, menus, restaurants, and regional information based on the analysis results, and provides the generated gourmet experience information to the user terminal. Claim 5 In claim 4, the server control unit, upon receiving user preference information from the user terminal, collects related materials, related menus, related restaurants, related regional information, and related evaluation information based on the received user preference information; learns and analyzes the collected related materials, related menus, related restaurants, related regional information, and related evaluation information using an artificial intelligence model; corrects the gourmet experience information generated based on the analysis results; collects reviews regarding the related materials, related menus, related restaurants, and related regional information; learns and analyzes the collected reviews using an artificial intelligence model; applies the analysis results to the related evaluation information; collects information regarding recommendations, sharing, and downloads for each of the related materials, related menus, related restaurants, and related regional information; assigns evaluation weights to each of the collected recommendations, sharing, and downloads; and calculates an evaluation score based on the evaluation weights assigned to each of the related materials, related menus, related restaurants, and related regional information.

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