Smart travel platform based on ChatGPT

Abstract

The invention provides a smart travel platform based on ChatGPT, and belongs to the technical field of travel platforms. Comprising a terminal used for collecting and processing all data, the terminal is connected with an interface module, a question and answer and consultation module, a guide module and a user community module, the interface module is connected with a mobile phone application and a webpage, and the question and answer and consultation module comprises an information query unit, a journey planning unit and a question answering unit. And the user community module comprises an information acquisition unit and a personalized recommendation unit. Search records, page browsing records and evaluation feedback records of users can be collected through an information collection unit in the user community module, personalized scenic spot recommendation services are provided for the users through the information, and the users are helped to better plan travel itineraries.

Description

Technical Field

[0001] The present invention relates to the technical field of tourism travel platforms, and in particular to a smart tourism travel platform based on ChatGPT. Background Art

[0002] Smart tourism, also known as intelligent tourism, is to use new technologies such as cloud computing and the Internet of Things to actively perceive information on tourism resources, tourism economy, tourism activities, and tourists through the Internet / mobile Internet and portable terminal Internet devices, and publish it in a timely manner so that people can understand this information in a timely manner, arrange and adjust work and travel plans in a timely manner, thereby achieving the effect of intelligent perception and convenient use of various types of tourism information. The construction and development of smart tourism will ultimately be reflected in the three levels of tourism management, tourism services, and tourism marketing.

[0003] Traditional tourism platforms can often only recommend attractions based on some general standards, such as popularity, distance, etc., and cannot deeply understand the unique needs and interests of each tourist to provide personalized travel plans, and cannot provide tourists with customized itinerary planning services. Tourists need to spend a lot of time and energy to study the location, transportation methods, etc. of each attraction, and then manually plan the itinerary. This is a big challenge for tourists who are not familiar with the tourist destination. Therefore, this application provides a smart tourism travel platform based on ChatGPT to meet the needs. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a smart tourism travel platform based on ChatGPT to solve the existing problems of being unable to recommend personalized travel plans and unable to provide customized itinerary planning.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The smart travel platform based on ChatGPT includes a terminal for collecting and processing all data, and the terminal is respectively connected to an interface module, a question-and-answer and consultation module, a navigation module and a user community module.

[0007] In a possible implementation, the interface module is connected to a mobile phone application and a web page respectively, and a user can connect to the terminal through the mobile phone application and the web page.

[0008] In one possible implementation, the question-and-answer and consultation module includes an information query unit, an itinerary planning unit and a question-answering unit. The information query unit is used for users to ask questions to the platform through text or voice to obtain various information about the tourist destination, such as opening hours of attractions, ticket prices, best visiting seasons, local customs and habits, etc.

[0009] In one possible implementation, the itinerary planning unit includes traffic and weather information, route planning and navigation services. The traffic and weather information enables users to query real-time traffic and weather conditions through the platform. The route planning can plan the best traffic route for the user based on the user's departure place, destination and travel time. The navigation service can provide real-time navigation services during the user's travel to help the user reach the destination accurately.

[0010] In one possible implementation, the problem-solving unit includes online consultation and user feedback. The online consultation allows users to consult the platform at any time when encountering emergencies or temporary problems during travel, and the user feedback allows users to submit their own questions and suggestions at any time and take corresponding improvement measures.

[0011] In one possible implementation, the guide module includes a virtual guide unit and a voice guide unit. The virtual guide unit can provide a virtual guide function for the user before the user arrives at the tourist destination, allowing the user to understand the situation of the scenic spot in advance through pictures, videos, 3D models and other forms. The voice guide unit can provide voice guide services through mobile phone applications and web pages when the user visits the scenic spot in person.

[0012] In a possible implementation, the user community module includes an information collection unit and a personalized recommendation unit, and the information collection unit is used to collect the user's search history, page browsing history, and evaluation feedback history.

[0013] In a possible implementation, the personalized recommendation unit includes scenic spot recommendations and catering and accommodation recommendations, and the scenic spot recommendations and catering and accommodation recommendations can be made to the user through the user information collected by the information collection unit.

[0014] In a possible implementation, the implementation of the scenic spot recommendation includes the following steps:

[0015] S1, collect scenic spot information and establish scenic spot database;

[0016] S2, analyzing the user information collected by the information collection unit;

[0017] S3, recommends attractions through algorithms;

[0018] S4, display recommended attractions.

[0019] In a possible implementation, the algorithm in S3 includes content-based recommendation, collaborative filtering recommendation and hybrid recommendation. The content-based recommendation uses a vector space model to represent scenic spots and user interests, and calculates the similarity between the two. The more similar the scenic spots are, the more likely they are to be recommended to the user. For example, the user's interest is represented as a vector where t ui Indicates the user's preference for feature i; the scenic spot is represented as a vector where t vi It indicates the degree of performance of the scenic spot on feature i. The similarity between the two can be calculated using cosine similarity:

[0020]

[0021] The collaborative filtering recommendation is to find other users similar to the target user and then recommend the attractions that these users like; the item-based collaborative filtering is to find other attractions similar to the attractions that the target user likes and then recommend them to the target user. For example, the Pearson correlation coefficient is used to calculate the similarity between users:

[0022]

[0023] where r ui represents the rating of user u on scenic spot i, represents the average rating of user u, I is the set of all attractions, and the hybrid recommendation combines content-based recommendation and collaborative filtering recommendation, comprehensively considering the user's personal interests and the behaviors of other users to improve the accuracy and diversity of recommendations. The two recommendation results can be fused in a weighted manner, for example: recommendation = α × content based recommendation + (1-α) × collaborative_filtering, where α is a weight coefficient that can be adjusted according to actual conditions.

[0024] Compared with the prior art, the present invention has at least the following beneficial effects:

[0025] The user's search history, page browsing history and evaluation feedback history can be collected through the information collection unit in the user community module, and personalized attraction recommendation services can be provided to users through this information to help users better plan travel itineraries. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings, which are incorporated herein and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, further serve to explain the principles of the present disclosure and to enable those skilled in the relevant art to make and use the present disclosure.

[0027] Figure 1 This is a structural diagram of the smart tourism travel platform based on ChatGPT;

[0028] Figure 2 This is a flow chart of scenic spot recommendation in the smart tourism travel platform based on ChatGPT.

[0029] As shown in the figure, in order to clearly implement the structure of the embodiment of the present invention, specific structures and devices are marked in the figure, but this is only for illustrative purposes and is not intended to limit the present invention to the specific structure, device and environment. According to specific needs, ordinary technicians in this field can adjust or modify these devices and environments, and the adjustments or modifications made are still included in the scope of the attached claims. DETAILED DESCRIPTION

[0030] The following is a detailed description of the ChatGPT-based smart travel platform provided by the present invention in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternative methods to implement some known technologies; and the accompanying drawings are only for a more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0031] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0032] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but rather can be alternative, depending, at least in part, on the context, allowing for the presence of other factors that are not necessarily explicitly described.

[0033] It will be understood that the meaning of “on,” “over,” and “above” in this disclosure should be interpreted in the broadest manner, so that “on” means not only “directly on” something, but also includes the meaning of being “on” something with intervening features or layers therebetween, and “on” or “over” means not only “on” or “above” something, but also includes the meaning of being “on” or “above” something with no intervening features or layers therebetween.

[0034] Additionally, spatially relative terms such as "under," "beneath," "lower," "above," "upper," and the like may be used herein for descriptive convenience to describe the relationship of one element or feature to another element or features, as shown in the accompanying drawings. Spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the accompanying drawings. The device may be oriented in other ways, and the spatially relative descriptors used herein may be similarly interpreted accordingly.

[0035] Example 1

[0036] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a smart tourism travel platform based on ChatGPT, including a terminal for collecting and processing all data, and the terminal is respectively connected to an interface module, a question and answer and consultation module, a navigation module and a user community module.

[0037] In some examples, the interface module is connected to a mobile phone application and a web page respectively, and the user can connect to the terminal through the mobile phone application and the web page.

[0038] In some examples, the question-and-answer and consultation module includes an information query unit, an itinerary planning unit, and a question-answering unit. The information query unit is used for users to ask questions to the platform through text or voice to obtain various information about the tourist destination, such as the opening hours of attractions, ticket prices, best visiting seasons, local customs and habits, etc.

[0039] In some examples, the itinerary planning unit includes traffic and weather information, route planning and navigation services. Traffic and weather information allows users to query real-time traffic and weather conditions through the platform. Route planning can plan the best traffic route for users based on the user's departure point, destination and travel time. Navigation services can provide real-time navigation services during the user's travel to help users reach their destination accurately.

[0040] In some examples, the problem-solving unit includes online consultation and user feedback. Online consultation allows users to consult the platform at any time when they encounter emergencies or temporary problems during travel, and user feedback allows users to submit their own questions and suggestions at any time and take corresponding improvement measures.

[0041] In some examples, the guide module includes a virtual guide unit and a voice guide unit. The virtual guide unit can provide a virtual guide function for the user before the user arrives at the tourist destination, allowing the user to understand the situation of the scenic spot in advance through pictures, videos, 3D models and other forms. The voice guide unit can provide voice guide services through mobile applications and web pages when the user visits the scenic spot in person.

[0042] In some examples, the user community module includes an information collection unit and a personalized recommendation unit, and the information collection unit is used to collect the user's search history, page browsing history, and evaluation feedback history.

[0043] In some examples, the personalized recommendation unit includes scenic spot recommendations and catering and accommodation recommendations, and the scenic spot recommendations and catering and accommodation recommendations can be made to the user through the user information collected by the information collection unit.

[0044] In some examples, the implementation of attraction recommendation includes the following steps:

[0045] S1, collect scenic spot information and establish scenic spot database;

[0046] S2, analyzing the user information collected by the information collection unit;

[0047] S3, by representing the user's interest as a vector where t ui Indicates the user's preference for feature i; the scenic spot is represented as a vector where t vi It indicates the degree of performance of the scenic spot on feature i. The similarity between the two can be calculated using cosine similarity:

[0048]

[0049] S4, display recommended attractions.

[0050] Example 2

[0051] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a smart tourism travel platform based on ChatGPT, including a terminal for collecting and processing all data, and the terminal is respectively connected to an interface module, a question and answer and consultation module, a navigation module and a user community module.

[0052] In some examples, the interface module is connected to a mobile phone application and a web page respectively, and the user can connect to the terminal through the mobile phone application and the web page.

[0053] In some examples, the question-and-answer and consultation module includes an information query unit, an itinerary planning unit, and a question-answering unit. The information query unit is used for users to ask questions to the platform through text or voice to obtain various information about the tourist destination, such as the opening hours of attractions, ticket prices, best visiting seasons, local customs and habits, etc.

[0054] In some examples, the itinerary planning unit includes traffic and weather information, route planning and navigation services. Traffic and weather information allows users to query real-time traffic and weather conditions through the platform. Route planning can plan the best traffic route for users based on the user's departure point, destination and travel time. Navigation services can provide real-time navigation services during the user's travel to help users reach their destination accurately.

[0055] In some examples, the problem-solving unit includes online consultation and user feedback. Online consultation allows users to consult the platform at any time when they encounter emergencies or temporary problems during travel, and user feedback allows users to submit their own questions and suggestions at any time and take corresponding improvement measures.

[0056] In some examples, the guide module includes a virtual guide unit and a voice guide unit. The virtual guide unit can provide a virtual guide function for the user before the user arrives at the tourist destination, allowing the user to understand the situation of the scenic spot in advance through pictures, videos, 3D models and other forms. The voice guide unit can provide voice guide services through mobile applications and web pages when the user visits the scenic spot in person.

[0057] In some examples, the user community module includes an information collection unit and a personalized recommendation unit, and the information collection unit is used to collect the user's search history, page browsing history, and evaluation feedback history.

[0058] In some examples, the personalized recommendation unit includes scenic spot recommendations and catering and accommodation recommendations, and the scenic spot recommendations and catering and accommodation recommendations can be made to the user through the user information collected by the information collection unit.

[0059] In some examples, the implementation of attraction recommendation includes the following steps:

[0060] S1, collect scenic spot information and establish scenic spot database;

[0061] S2, analyzing the user information collected by the information collection unit;

[0062] S3, by finding other users similar to the target user and then recommending the attractions these users like or finding other attractions similar to the attractions the target user likes and then recommending them to the target user, using the Pearson correlation coefficient to calculate the similarity between users:

[0063]

[0064] where r ui represents the rating of user u on scenic spot i, represents the average rating of user u, and I is the set of all attractions;

[0065] S4, display recommended attractions.

[0066] Example 3

[0067] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a smart tourism travel platform based on ChatGPT, including a terminal for collecting and processing all data, and the terminal is respectively connected to an interface module, a question and answer and consultation module, a navigation module and a user community module.

[0068] In some examples, the interface module is connected to a mobile phone application and a web page respectively, and the user can connect to the terminal through the mobile phone application and the web page.

[0069] In some examples, the question-and-answer and consultation module includes an information query unit, an itinerary planning unit, and a question-answering unit. The information query unit is used for users to ask questions to the platform through text or voice to obtain various information about the tourist destination, such as the opening hours of attractions, ticket prices, best visiting seasons, local customs and habits, etc.

[0070] In some examples, the itinerary planning unit includes traffic and weather information, route planning and navigation services. Traffic and weather information allows users to query real-time traffic and weather conditions through the platform. Route planning can plan the best traffic route for users based on the user's departure point, destination and travel time. Navigation services can provide real-time navigation services during the user's travel to help users reach their destination accurately.

[0071] In some examples, the problem-solving unit includes online consultation and user feedback. Online consultation allows users to consult the platform at any time when they encounter emergencies or temporary problems during travel, and user feedback allows users to submit their own questions and suggestions at any time and take corresponding improvement measures.

[0072] In some examples, the guide module includes a virtual guide unit and a voice guide unit. The virtual guide unit can provide a virtual guide function for the user before the user arrives at the tourist destination, allowing the user to understand the situation of the scenic spot in advance through pictures, videos, 3D models and other forms. The voice guide unit can provide voice guide services through mobile applications and web pages when the user visits the scenic spot in person.

[0073] In some examples, the user community module includes an information collection unit and a personalized recommendation unit, and the information collection unit is used to collect the user's search history, page browsing history, and evaluation feedback history.

[0074] In some examples, the personalized recommendation unit includes scenic spot recommendations and catering and accommodation recommendations, and the scenic spot recommendations and catering and accommodation recommendations can be made to the user through the user information collected by the information collection unit.

[0075] In some examples, the implementation of attraction recommendation includes the following steps:

[0076] S1, collect scenic spot information and establish scenic spot database;

[0077] S2, analyzing the user information collected by the information collection unit;

[0078] S3, by combining content-based recommendation and collaborative filtering recommendation, comprehensively considering the user's personal interests and the behavior of other users, improves the accuracy and diversity of recommendations. The two recommendation results can be fused in a weighted manner, recommendation = α × content based recommendation + (1-α) × collaborative_filtering, where α is a weight coefficient that can be adjusted according to actual conditions;

[0079] S4, display recommended attractions.

[0080] The technical solution provided by the present invention can collect the user's search history, page browsing history and evaluation feedback history through the information collection unit in the user community module, and provide the user with personalized scenic spot recommendation services through this information, so as to help the user better plan travel itineraries.

[0081] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0082] A person skilled in the art will appreciate that all or part of the steps in the above-mentioned embodiment method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc.

[0083] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. The smart travel platform based on ChatGPT is characterized by: It includes a terminal for collecting and processing all data, and the terminal is respectively connected with an interface module, a question-answering and consulting module, a navigation module and a user community module.

2. The ChatGPT-based smart travel platform according to claim 1 is characterized in that: The interface module is connected to a mobile phone application and a web page respectively, and a user can connect to the terminal through the mobile phone application and the web page.

3. The ChatGPT-based smart travel platform according to claim 1 is characterized in that: The question-and-answer and consultation module includes an information query unit, an itinerary planning unit and a question-answering unit. The information query unit is used for users to ask questions to the platform through text or voice to obtain various information about the tourist destination, such as opening hours of attractions, ticket prices, best visiting seasons, local customs and habits, etc.

4. The ChatGPT-based smart travel platform according to claim 3 is characterized in that: The itinerary planning unit includes traffic and weather information, route planning and navigation services. The traffic and weather information enables users to query real-time traffic and weather conditions through the platform. The route planning can plan the best traffic route for users based on the user's departure place, destination and travel time. The navigation service can provide real-time navigation services during the user's travel to help users reach their destination accurately.

5. The ChatGPT-based smart travel platform according to claim 3 is characterized in that: The problem-solving unit includes online consultation and user feedback. The online consultation allows users to consult the platform at any time when encountering emergencies or temporary problems during travel, and the user feedback allows users to submit their own questions and suggestions at any time and take corresponding improvement measures.

6. The ChatGPT-based smart travel platform according to claim 1 is characterized in that: The guide module includes a virtual guide unit and a voice guide unit. The virtual guide unit can provide a virtual guide function for the user before the user arrives at the tourist destination, allowing the user to understand the situation of the scenic spot in advance through pictures, videos, 3D models and other forms. The voice guide unit can provide voice guide services through mobile phone applications and web pages when the user visits the scenic spot in person.

7. The ChatGPT-based smart travel platform according to claim 1 is characterized in that: The user community module includes an information collection unit and a personalized recommendation unit. The information collection unit is used to collect the user's search history, page browsing history and evaluation feedback history.

8. The ChatGPT-based smart travel platform according to claim 7 is characterized in that: The personalized recommendation unit includes scenic spot recommendation and catering and accommodation recommendation, and the scenic spot recommendation and catering and accommodation recommendation can make scenic spot and catering and accommodation recommendations to the user through the user information collected by the information collection unit.

9. The ChatGPT-based smart travel platform according to claim 8 is characterized in that: Implementation of the attraction recommendation The following steps are involved: S1, collect scenic spot information and establish scenic spot database; S2, analyzing the user information collected by the information collection unit; S3, recommends attractions through algorithms; S4, display recommended attractions.

10. The ChatGPT-based smart travel platform according to claim 9 is characterized in that: The algorithms in S3 include content-based recommendation, collaborative filtering recommendation and hybrid recommendation. The content-based recommendation uses a vector space model to represent attractions and user interests and calculates the similarity between the two. The attractions with higher similarity are more likely to be recommended to users. For example, the user's interest is represented as a vector where t ui Indicates the user's preference for feature i; the scenic spot is represented as a vector where t vi It indicates the degree of performance of the scenic spot on feature i. The similarity between the two can be calculated using cosine similarity: The collaborative filtering recommendation is to find other users similar to the target user and then recommend the attractions that these users like; the item-based collaborative filtering is to find other attractions similar to the attractions that the target user likes and then recommend them to the target user. For example, the Pearson correlation coefficient is used to calculate the similarity between users: where r ui represents the rating of user u on scenic spot i, represents the average rating of user u, I is the set of all attractions, and the hybrid recommendation combines content-based recommendation and collaborative filtering recommendation, comprehensively considering the user's personal interests and the behaviors of other users to improve the accuracy and diversity of recommendations. The two recommendation results can be fused in a weighted manner, for example: recommendation = α × content based recommendation + (1-α) × collaborative_filtering, where α is a weight coefficient that can be adjusted according to actual conditions.

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