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KR-20260063348-A - Interactive Tour Course Recommending System Based on AI

KR20260063348AKR 20260063348 AKR20260063348 AKR 20260063348AKR-20260063348-A

Abstract

The present invention provides an AI-based interactive travel course recommendation system in which various travel information, including tourism/travel experiences linked to yacht experiences, is converted into big data, a travel course recommendation algorithm is generated based on AI learning therefrom, and user-customized travel course recommendation information (such as yacht experience-linked travel course recommendation information) is produced and output through a user interface, tailored to information such as gender, age, nationality, travel purpose, desired tourist destination, travel period, preferred means of transportation, preferred food, budget range, and physical fitness level, which can be directly input by the user or analyzed through the collection of user information, and the user-customized travel course recommendation information can be modified in real time in accordance with user feedback.

Inventors

  • 도상민
  • 강솔

Assignees

  • 도상민
  • 강솔

Dates

Publication Date
20260507
Application Date
20241030

Claims (10)

  1. User terminal (100) operated by a user who wants to receive a travel course recommendation; Travel information DB (200) in which travel information including travel courses is accumulated and stored in a database; The system is configured to include a travel course recommendation management server (300) that receives user basic information and travel recommendation setting information from the user terminal (100), is equipped with a travel course recommendation algorithm (400) that is generated based on artificial intelligence learning of travel information big data accumulated and stored in the travel information DB (200), and generates user-customized travel course recommendation information by the travel course recommendation algorithm (400) that receives the user basic information and travel recommendation setting information. An AI-based interactive travel course recommendation system characterized in that the above user basic information includes gender information, age information, and nationality information, and the above travel recommendation setting information includes travel purpose information, desired tourist destination information, travel period information, preferred mode of transportation information, preferred food information, budget range information, and physical fitness level information.
  2. In Article 1, The above travel course recommendation management server (300) is, The system includes a yacht experience product DB (370) in which yacht experience products are classified by characteristics and stored in a database; and a yacht experience management unit (350) that is linked to the yacht experience product DB (370) and manages a user registration process, a user information input process, a user preference analysis process, and a yacht experience product recommendation process. An AI-based interactive travel course recommendation system characterized in that the above user terminal (100) performs information input/output for membership registration and information input/output for yacht experience product recommendation, and receives and outputs a customized yacht experience recommendation product calculated from the above yacht experience management unit (350) that performed the above user preference analysis process and yacht experience product recommendation process as user-customized travel course recommendation information.
  3. In Paragraph 2, The above travel course recommendation management server (300) is, A marine leisure activity product DB (380) in which marine leisure activity products that can be directly linked to yacht experience products are classified and databased; a yacht experience linked tourism information DB (390) in which beach tourist destination information, convenience facility information, accommodation information, and event information that can be indirectly linked to yacht experience products are classified and databased; and a yacht experience linked travel course recommendation management unit (360) that is linked to the marine leisure activity product DB (380) and the yacht experience linked tourism information DB (390), and calculates marine leisure activity recommendation information linked to customized yacht experience recommendation products produced through the yacht experience product recommendation process, while also calculating user-customized travel course recommendation information linked to customized yacht experience recommendation products based on the beach tourist destination information, convenience facility information, accommodation information, and event information. An AI-based interactive travel course recommendation system characterized in that the user terminal (100) performs information input and output for marine leisure activity recommendation information and yacht experience-linked travel course recommendation, and receives and outputs marine leisure activity recommendation information and yacht experience-linked travel course recommendation information calculated from the yacht experience-linked travel course recommendation management unit (360).
  4. In Article 1, The above travel course recommendation management server (300) includes a user information collection unit (320) that collects travel history information, search pattern information in the online space, and travel review information of a user who has registered as a member. An AI-based interactive travel course recommendation system characterized by generating user-customized travel course recommendation information through additional AI learning of information transmitted from the above-mentioned user information collection unit (320).
  5. In Article 1, The above user terminal (100) is a portable communication terminal (100a) that the user carries around, and The above travel course recommendation management server (300) is, The system further includes: a real travel course detection unit (330) that receives real-time GPS location information of the portable communication terminal (100a) carried by the user while traveling and generates the user's actual travel course information; and a recommendation-actual travel course analysis unit (340) that analyzes the degree of agreement between the user-customized travel course recommendation information and the user's actual travel course information. An AI-based interactive travel course recommendation system characterized by generating user-customized travel course recommendation information through additional AI learning on the results of the analysis of the degree of agreement between the user-customized travel course recommendation information and the user's actual travel course information.
  6. In Article 1, The user interface (500) outputs travel course mapping information graphically implemented on a map by the user-customized travel course recommendation management server (300) and receives real-time input of travel course adjustment information from a user who wishes to modify the travel course mapping information. An artificial intelligence-based interactive travel course recommendation system characterized in that the above travel course recommendation management server (300) modifies the user-customized travel course recommendation information in real time according to the travel course adjustment information transmitted in real time from the above user interface (500) and transmits it to the above user interface (500).
  7. In Article 1, The system further includes a weather information DB (600) that is linked to the above-mentioned travel course recommendation management server (300) and transmits the current weather information and weather forecast information of the travel course included in the above-mentioned user-customized travel course recommendation information to the above-mentioned travel course recommendation management server (300) in real time. The above travel course recommendation management server (300) is characterized by real-time adjustment of the user-customized travel course recommendation information initially generated in accordance with the above current weather information and weather forecast information, in an artificial intelligence-based interactive travel course recommendation system.
  8. In Article 1, A travel destination traffic condition information DB (700) that is linked to the travel course recommendation management server (300) and transmits in real-time to the travel course recommendation management server (300) traffic condition information of the travel destination to which the travel course included in the user-customized travel course recommendation information belongs; and a travel destination site information DB (800) that is linked to the travel course recommendation management server (300), has event information of the travel destination to which the travel course included in the user-customized travel course recommendation information belongs set and stored, and transmits the event information of the travel destination to the travel course recommendation management server (300); further including one or more selected from the above. The AI-based interactive travel course recommendation system is characterized by the fact that the travel course recommendation management server (300) adjusts the user-customized travel course recommendation information initially generated in real time according to one or more of the information selected from the travel destination traffic condition information and event information.
  9. In Article 1, The above travel information DB (200) generates travel information big data by database-izing 1) travel information collected through an online network and 2) travel information input and collected from an administrator according to information classification criteria keywords including gender, age, nationality, purpose of travel, tourist attraction, travel period, means of transportation, food, budget, and physical fitness level, etc. An AI-based interactive travel course recommendation system characterized by including: a public data collection unit (210) that receives and collects tourist information from a public institution data server (900) connected online; a social media data collection unit (220) that receives and collects social media shared travel information from a social media management server (1000) connected online; a review data collection unit (230) that receives and collects travel review information registered on a webpage (1110) of an online platform (1100) capable of acquiring travel information; and an administrator input travel information collection unit (240) that receives travel information from an administrator.
  10. In Article 9, The travel course recommendation algorithm (400) of the above-described travel course recommendation management server (300) calculates the suitability of one or more recommended travel courses that match the above-described user basic information and travel recommendation setting information, and then 1) calculates the travel course with the highest suitability as user-customized travel course recommendation information, or 2) calculates a set number of travel courses in order of high suitability as user-customized travel course recommendation information, characterized by an artificial intelligence-based interactive travel course recommendation system.

Description

Interactive Tour Course Recommending System Based on AI The present invention relates to an AI-based interactive travel course recommendation system, and more specifically, to an AI-based interactive travel course recommendation system in which various travel information, including tourism/travel experiences linked to yacht experiences, is converted into big data, a travel course recommendation algorithm is generated based on AI learning therefrom, and user-customized travel course recommendation information (such as yacht experience-linked travel course recommendation information) is produced and output through a user interface, tailored to information such as gender, age, nationality, travel purpose, desired tourist destination, travel period, preferred means of transportation, preferred food, budget range, and physical fitness level, which can be directly input by the user or analyzed through the collection of user information, and the user-customized travel course recommendation information can be modified in real time in accordance with user feedback. With the implementation of the five-day workweek, increased national income, and growing interest in leisure culture, the number of people enjoying yacht travel has been rapidly increasing in recent years. Accordingly, various yacht travel vouchers are being sold online in Korea. However, most of these services simply act as intermediaries for yacht experiences, which has resulted in a problem in that they cannot attract consumers to marine leisure activities linked to yacht experiences or travel to nearby tourist attractions linked to yacht experiences, or satisfy consumers who desire such activities. Meanwhile, most tourism products operate in a format where travel agencies set the itinerary and promote fixed-route travel packages to tourists. However, independent travel has recently become the preferred method of travel for tourists; they desire to know and prepare detailed information about tourist destinations, such as facilities, accommodations, and dining, in advance, and seek experiences that feel realistic when they cannot visit in person. Yet, there are problems with the current online information regarding tourist destinations, which is often extremely fragmentary or text-based, making it difficult or time-consuming to obtain vivid, lifelike information. Therefore, there is a need to develop technology that automatically provides recommended travel courses to enable more efficient and enjoyable trips, and allows users to conveniently plan their travels. FIG. 1 is a basic configuration block diagram of an artificial intelligence-based interactive travel course recommendation system according to the present invention; FIG. 2 is a block diagram of a travel information DB according to an embodiment of the present invention; FIGS. 3 to 5 are example diagrams of user basic information and travel recommendation setting information input screens of an artificial intelligence-based interactive travel course recommendation system according to an embodiment of the present invention; FIG. 6 is a block diagram of a travel course recommendation server according to an embodiment of the present invention; FIGS. 7 to 11 are example diagrams of screen output of user-customized travel course recommendation information of an artificial intelligence-based interactive travel course recommendation system according to an embodiment of the present invention; FIG. 12 is a block diagram of a travel course recommendation server according to an embodiment of the present invention for recommending a travel course linked to a yacht experience. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. Meanwhile, in the drawings and detailed description, the illustration and mention of configurations and operations that are easily understood by those skilled in the art have been simplified or omitted. In particular, in the drawings and detailed description, detailed descriptions and illustrations of specific technical configurations and operations of elements not directly related to the technical features of the present invention have been omitted, and only the technical configurations related to the present invention have been briefly illustrated or described. An artificial intelligence-based interactive travel course recommendation system according to an embodiment of the present invention is configured to include a user terminal (100), a travel information DB (200), a weather information DB (600), a travel destination traffic condition information DB (700), a travel destination field information DB (800), a travel course recommendation management server (300), and a user interface (500), as shown in FIG. 1. The user terminal (100) is operated by a user who wishes to receive a travel course recommendation. The user terminal (100) for receiving user basic information and travel recommendation setting information may