AI tourism recommendation method and device, equipment and medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses an AI tourism recommendation method and device, computer equipment and a storage medium. In an implementation scheme, video picture analysis can be performed on a video stored in a video platform, and tourism place labeling can be performed on scenic spots appearing in a video picture; and when the video platform plays the scenic spot marked by the travel place, popping up the travel service marked by the travel place, so that a user uses the travel service to plan a travel route. According to the method and the device, the scenic spots appearing in the video picture are automatically identified and marked in advance, so that the travel service information is triggered immediately when the video is played to the related scenic spots, convenient and instant travel inspiration and planning are provided for the user, and the dynamic and situational service presentation mode has the advantages that the user experience is improved, and the user experience is improved. And the watching experience and the participation sense of the user are greatly enhanced.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and particularly to an AI travel recommendation method, device, equipment and medium. Background Art

[0002] In the current field of digital entertainment and tourism service integration, as an important carrier of home entertainment, the travel-related content and services provided by the TV side are still relatively primary and lack innovation. Specifically, most of the travel-related information and services on the current TV platform rely on the simple integration of third-party applications. When users use these applications, they usually click on the application icon through the TV remote control to jump to an external web page or application to obtain travel information or perform reservation operations. This service mode is essentially not significantly different from the usage experience on mobile phones and fails to fully utilize the unique advantages of the large TV screen in visual display, family sharing, etc.

[0003] Furthermore, the existing TV travel services lack deep integration with video content and fail to achieve seamless docking between video content and travel services. When users watch TV programs or video content, even if a desirable tourist attraction appears in the picture, they cannot directly obtain travel service information related to the attraction, such as travel route planning, ticket reservation, hotel recommendation, etc. This break between information and services not only reduces the user's viewing experience but also limits the potential of the TV platform in promoting tourism consumption.

[0004] In summary, the existing TV-side travel services have obvious deficiencies and urgently need a method that can provide users with richer, more convenient and intuitive travel services. Summary of the Invention

[0005] The present invention provides an AI travel recommendation method, device, computer equipment and medium to solve the obvious deficiencies of the existing TV-side travel services and improve the user's TV viewing experience.

[0006] In the first aspect, an AI travel recommendation method is provided, including: Performing video frame analysis on the videos stored in the video platform and marking the attractions that appear in the video frames with travel locations; When the video platform plays to the attractions marked with travel locations, popping up the travel services marked with travel locations so that users can use the travel services to plan travel routes.

[0007] Furthermore, the performing video frame analysis on the videos stored in the video platform and marking the attractions that appear in the video frames with travel locations includes: Use AI to analyze the video content stored in the video platform to obtain the appearance time of the scenic spots in the video; Mark the travel destinations for the scenic spots in sequence according to the time sequence of the scenic spots in the video.

[0008] Furthermore, pop up the travel services marked with the travel destinations so that users can use the travel services to plan travel routes, including: The video platform analyzes the travel destinations that users are interested in based on the videos the users have watched, and pushes videos and film and television dramas containing the travel destinations that the users are interested in to the users during holidays; When the user is watching the videos and film and television dramas, remind the user to travel during the holidays and generate the travel route.

[0009] Furthermore, for the user to use the travel services to plan travel routes, it includes: The travel service generates multiple travel routes and the costs of each travel route based on the user's location and the locations of the marked scenic spots.

[0010] Furthermore, the travel route is sent by the travel service software to the user's mobile phone to enable the user to obtain the travel mode.

[0011] Furthermore, the travel service provides corresponding travel services for third-party travel software to access the video platform and the map platform.

[0012] In a second aspect, an AI travel recommendation device is provided, including: A marking module, which is used to analyze the video images of the videos stored in the video platform and mark the travel destinations for the scenic spots appearing in the video images; A planning module, which is used to pop up the travel services marked with the travel destinations when the video platform plays to the scenic spots marked with the travel destinations, so that users can use the travel services to plan travel routes.

[0013] Furthermore, the marking module is also used for: Use AI to analyze the video content stored in the video platform to obtain the appearance time of the scenic spots in the video; Mark the travel destinations for the scenic spots in sequence according to the time sequence of the scenic spots in the video.

[0014] In a third aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above AI travel recommendation method are implemented.

[0015] Fourthly, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned AI travel recommendation method are implemented.

[0016] In the solution implemented by the above-mentioned AI travel recommendation method, device, computer device and storage medium, video frame analysis can be performed on the videos stored in the video platform, and travel destination labels can be assigned to the scenic spots that appear in the video frames. When the video platform plays the scenic spots with travel destination labels, the travel services with the travel destination labels are popped up, so that users can use the travel services to plan travel routes. In the present invention, by automatically identifying and labeling the scenic spots in the video frames in advance, the travel service information is triggered immediately when the video plays to the relevant scenic spots, providing users with convenient and immediate travel inspiration and planning. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments of the present invention. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 is a schematic diagram of an application environment of the AI travel recommendation method in an embodiment of the present invention; Figure 2 is a schematic flowchart of the AI travel recommendation method in an embodiment of the present invention; Figure 3 is Figure 2 a schematic flowchart of a specific implementation manner of step S10 in Figure 4 is Figure 2 a schematic flowchart of a specific implementation manner of step S20 in Figure 5 is a schematic structural diagram of the AI travel recommendation device in an embodiment of the present invention; Figure 6 is a schematic structural diagram of a computer device in an embodiment of the present invention; Figure 7 is another schematic structural diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0020] It should be understood that when used in the specification of the present invention and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0021] It should also be understood that the term "and / or" as used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0022] As used in the specification of the present invention and the appended claims, the term "if" can be interpreted as "when", "once", "in response to determining", or "in response to detecting" according to the context. Similarly, the phrase "if determined" or "if detecting [the described condition or event]" can be interpreted as meaning "once determined", "in response to determining", "once detecting [the described condition or event]", or "in response to detecting [the described condition or event]" according to the context.

[0023] In addition, in the description of the specification of the present invention and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0024] The reference to "one embodiment" or "some embodiments" or the like described in the specification of the present invention means that a specific feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present invention. Thus, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0025] It should be understood that the magnitudes of the sequence numbers of the steps in the following embodiments do not mean the order of execution is prior or subsequent. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0026] An AI travel recommendation method provided by an embodiment of the present invention can be applied in an application environment such as Figure 1 . Among them, the client communicates with the server through the network. The server can analyze the video images stored in the video platform and label the scenic spots that appear in the video images with travel destinations. When the video platform plays the scenic spots labeled with travel destinations, the travel services labeled with travel destinations are popped up so that users can use the travel services to plan travel routes. In the present invention, the scenic spots that appear in the video images are automatically identified and labeled in advance, so that when the video plays to the relevant scenic spots, the travel service information is triggered immediately, providing users with convenient and instant travel inspiration and planning. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation. Among them, the client can be, but is not limited to, various personal computers, laptop computers, smart phones, and tablet computers. The server can be implemented by an independent server or a server cluster composed of multiple servers. The present invention will be described in detail through specific embodiments below.

[0027] Please refer to Figure 2 as shown in Figure 2 An AI travel recommendation method provided by an embodiment of the present invention, which includes the following steps: S10: Analyze the video images stored in the video platform and label the scenic spots that appear in the video images with travel destinations.

[0028] S20: When the video platform plays the scenic spots labeled with travel destinations, pop up the travel services labeled with travel destinations so that users can use the travel services to plan travel routes.

[0029] Specifically, the AI travel recommendation method provided by the present application can be applied in various video playback platforms and video storage platforms. The video playback platform and the video are implemented through the server. The server can analyze the scenic spots in the video images in real time and label the scenic spots in the video images so that when the user watches the video or the movie plays to the scenic spot, the travel services of the scenic spot can be popped up, so that the user can conveniently use the travel services to plan travel routes when watching the scenic spots they want to travel to.

[0030] Exemplarily, when the user is about to watch a video or a movie in which the scenic spot of "The Palace Museum" will appear, the video platform first analyzes the video images of the video or movie, marks the location of the scenic spot of "The Palace Museum" in the video, and when the user watches the video or movie and it plays to the part of "The Palace Museum", a travel service including travel recommendations for "The Palace Museum" pops up. If the user wants to visit the scenic spot of "The Palace Museum", they can click on the travel service to plan the travel route for this trip. It should be noted that the examples in this embodiment are only for illustration and do not impose any limitations on this application.

[0031] It should be understood that the travel location marking here refers to a technical means of marking the geographical location of the scenic spots to be played in the video or movie in a certain form (such as text, icons, etc.) on the video image or the video playback progress bar. This marking helps users more intuitively understand the travel locations in the video and enhances the viewing and information content of the video. The travel service refers to the business activities provided by travel software, which, based on the scenic spots appearing in the video and the user's location, organizes and arranges services such as transportation, sightseeing, accommodation, dining, shopping, entertainment, and business according to the user's requirements.

[0032] In this embodiment, by analyzing the video images of the videos stored in the video platform and marking the travel locations of the scenic spots appearing in the video images, when the video platform plays to the scenic spots marked with travel locations, the travel services marked with travel locations pop up, so that users can use the travel services to plan travel routes. In the present invention, by automatically identifying and marking the scenic spots in the video images in advance, when the video plays to the relevant scenic spots, the travel service information is triggered immediately, providing users with convenient and instant travel inspiration and planning. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation.

[0033] Please refer to Figure 3 as shown Figure 3 An AI travel recommendation method provided by an embodiment of the present invention. In S10, that is, analyzing the video images of the videos stored in the video platform and marking the travel locations of the scenic spots appearing in the video images, specifically includes the following steps: S11: Use AI to analyze the video content stored in the video platform to obtain the appearance time of the scenic spots in the video.

[0034] S12: Mark the travel locations of the scenic spots in sequence according to the time sequence of the scenic spots in the video.

[0035] Specifically, for steps S11 - S12, in order to enable users to know the travel guides and routes of each scenic spot in the video when watching the video, it is necessary to obtain the video frames of the scenic spots that will appear during the video playback in the order of their appearance time, and mark the travel locations of the scenic spots in the order of their appearance time in the video.

[0036] Exemplarily, first, assume there is a popular video platform filled with travel videos uploaded by users. These videos cover scenic spots around the world, such as the Eiffel Tower in Paris, the Colosseum in Rome, Times Square in New York, etc. Then, we use a pre - trained AI image recognition model to analyze this video. During the video analysis, the AI model scans the video content frame - by - frame or by key frames and identifies the images of each scenic spot. Once a scenic spot is recognized, the AI records the start time and duration of its appearance in the video. For example, the AI may identify that the Eiffel Tower appears between 00:01:30 and 00:02:00 in the video, the Colosseum appears between 00:15:00 and 00:16:30, and Times Square appears between 00:30:45 and 00:31:15. Finally, the video platform sorts the scenic spots identified by the AI and their appearance times in the order of time in the video and adds corresponding travel location labels. Here, the examples in this embodiment are for illustration only and do not impose any limitations on this application.

[0037] It should be noted that the time order of the scenic spots is the order of their appearance in the video, and the video can be uploaded by video creators to the video platform or a movie or TV drama already stored on the video platform.

[0038] In this embodiment, by using AI to analyze the video content stored in the video platform to obtain the appearance times of the scenic spots in the video, and in the order of the time of the scenic spots in the video, the travel location labels are sequentially added to the scenic spots. In this embodiment, the video platform sorts the scenic spots identified by the AI and their appearance times in the order of time in the video and adds corresponding travel location labels. When users want to visit the scenic spots they have watched, corresponding travel services can be provided to users based on the travel location labels, bringing a more convenient and rich viewing experience to users, and at the same time providing new technical support for the digital transformation of the tourism industry.

[0039] Please refer to Figure 4 as shown Figure 4 This is an AI tourism recommendation method provided by an embodiment of the present invention. In S20, the travel services of the travel location labels are popped up so that users can use the travel services to plan travel routes, which specifically includes the following steps: S21: The video platform analyzes the travel destinations that the user is interested in based on the videos the user has watched, and pushes videos and movies and TV dramas containing the travel destinations that the user is interested in to the user during holidays.

[0040] S22: When the user is watching the videos and movies and TV dramas, remind the user to travel during the holidays and generate the travel route.

[0041] Specifically, in S21 - S22, before planning the user's travel route, the video platform can, according to the travel destinations that the user may be interested in based on the videos the user has watched, push videos or movies and TV dramas containing the travel destinations that the user may be interested in to the user before or during the holidays. When the travel destination appears in the video or movie and TV drama, a reminder to travel is popped up. After the user clicks on the travel reminder, the travel service for that travel destination is popped up. The travel service includes the planning of the travel route, the push of hotel reservations, the push of round - trip train numbers or flights, the push of local cuisine, the push of the local weather during the travel, and the push of relevant clothing and dressing suggestions for traveling according to the weather of the travel destination, etc.

[0042] Exemplarily, suppose there is a user. The video platform uses big data analysis to determine the user's behavioral pattern of preferring historical sites and natural scenery, and decides to push a series of video content related to Nanjing to him one week before the holiday to attract the user to travel. When the documentary plays the magnificent scene of the cherry blossoms in Jiming Temple in full bloom, a warm travel reminder pops up on the screen in a timely manner: "Spring has arrived, and the cherry blossoms in Jiming Temple are in full bloom. It's time to plan your cherry - blossom viewing trip!" After the user clicks on the travel reminder, the travel service interface is presented to him, providing a customized one - day cherry - blossom viewing travel route plan in Nanjing, including the best time to leave the hotel, the visiting order, the estimated staying time at each scenic spot, and the recommended lunch location. At the same time, several hotel reservation options that are conveniently located in Nanjing, highly rated and within the user's budget will be planned, and clicking on them can view the detailed information and directly make a reservation. In addition, the system can also intelligently recommend round - trip flight information from the user's city to Nanjing Lukou Airport or Nanjing Ma'anshan International Airport, as well as convenient transportation methods from the airport to the urban area of Nanjing, including train schedules and estimated costs. Considering the details of the trip, the platform also thoughtfully pushes a guide to the local special cuisine in Nanjing and the weather forecast in Nanjing according to the travel date planned by the user, and especially gives dressing suggestions according to the weather conditions, such as a light windbreaker paired with comfortable walking shoes to ensure both warmth and convenience for sightseeing. Among them, the examples in this embodiment are only for illustration and do not impose any limitations on this application.

[0043] It should be noted that, based on the user's location and the location of the marked scenic spots, the travel service can generate multiple travel routes and the costs of each travel route. The travel service software of the travel service sends the travel route formulated by the travel service to the user's mobile phone so that the user can obtain the travel mode. The travel service provides corresponding travel services for third-party travel software to access the video platform and the map platform.

[0044] In this embodiment, the video platform analyzes the travel locations that the user is interested in based on the videos the user has watched, and pushes videos and movies and TV dramas containing the travel locations that the user is interested in to the user during holidays. When the user is watching the videos and movies and TV dramas, the user is reminded to travel during the holidays and the travel route is generated. The personalized travel service push of this application enables the user to not only feel the accurate grasp of the user's personal preferences by the video platform, but also easily complete the whole process from interest stimulation to specific itinerary arrangement, making the user full of expectations for the upcoming trip.

[0045] An AI travel recommendation method, device, computer device and storage medium provided in this application can analyze the video pictures of the videos stored in the video platform, and mark the scenic spots that appear in the video pictures with travel locations. When the video platform plays the scenic spots marked with travel locations, the travel service marked with travel locations is popped up so that the user can use the travel service to plan a travel route. In the present invention, the scenic spots that appear in the video pictures are automatically identified and marked in advance for the scenic spots in the video pictures, so that the travel service information is triggered immediately when the video plays to the relevant scenic spots, providing convenient and instant travel inspiration and planning for the user. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation.

[0046] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0047] In one embodiment, an AI travel recommendation device is provided, and this AI travel recommendation device corresponds one-to-one with the AI travel recommendation method in the above embodiment. As Figure 5 shown, this AI travel recommendation device includes a marking module 101 and a planning module 102. The detailed description of each functional module is as follows: The marking module 101 is used to analyze the video pictures of the videos stored in the video platform, and mark the scenic spots that appear in the video pictures with travel locations; The planning module 102 is used to pop up the travel service marked with travel locations when the video platform plays the scenic spots marked with travel locations, so that the user can use the travel service to plan a travel route.

[0048] Specifically, the AI travel recommendation device provided by the present application can be applied to various video playback platforms and video storage platforms. The video playback platform and the video are implemented through a server. The server can analyze the scenic spots in the video picture in real time and label the scenic spots in the video picture, so that when the user watches the video or the movie plays to the scenic spot, the travel service of the scenic spot can be popped up, so that the user can conveniently use the travel service to plan the travel route when watching the scenic spot they want to travel to.

[0049] Exemplarily, when the user is about to watch a video or a movie and the scenic spot of "The Palace Museum" will appear, the video platform first analyzes the video picture of the video or the movie and labels the travel destination of the scenic spot of "The Palace Museum" in the video. When the user watches the video or the movie play to "The Palace Museum", a travel service including travel recommendations for "The Palace Museum" is popped up. If the user wants to go to the scenic spot of "The Palace Museum", they can click on the travel service to plan the travel route for this trip.

[0050] It should be understood that the travel destination labeling here refers to a technical means of labeling the geographical location of the scenic spot to be played in the video or the movie in a certain form (such as text, icon, etc.) on the video picture or the video playback progress bar. This labeling helps users more intuitively understand the travel locations in the video and enhances the viewing and information content of the video. The travel service refers to the business activities provided by travel software, which organize and arrange transportation, sightseeing, accommodation, catering, shopping, entertainment, business and other services according to the scenic spots appearing in the video and the user's location, according to the user's requirements.

[0051] In this embodiment, by analyzing the video picture of the video stored in the video platform and labeling the travel destination of the scenic spots appearing in the video picture, when the video platform plays to the scenic spot with the travel destination labeling, the travel service with the travel destination labeling is popped up, so that the user can use the travel service to plan the travel route. In the present invention, by automatically identifying and labeling the scenic spots in the video picture in advance, the travel service information is triggered immediately when the video plays to the relevant scenic spots, providing users with convenient and instant travel inspiration and planning. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation.

[0052] Further, in one embodiment, the labeling module 101 is specifically used for: Using AI to analyze the video content stored in the video platform to obtain the appearance time of the scenic spots in the video; Sequentially labeling the travel destinations of the scenic spots in the order of the time of the scenic spots in the video.

[0053] Specifically, in order to enable users to learn about the travel guides and routes of each scenic spot in the video when watching the video, it is necessary to obtain the video frames of the scenic spots that will appear during the video playback in the order of their appearance time, and mark the travel locations of the scenic spots in the order of their appearance time in the video.

[0054] Exemplarily, first, assume there is a popular video platform filled with travel videos uploaded by users. These videos cover scenic spots around the world, such as the Eiffel Tower in Paris, the Colosseum in Rome, Times Square in New York, etc. Then, we use a pre-trained AI image recognition model to analyze this video. During the video analysis, the AI model scans the video content frame by frame or by key frames and identifies the images of each scenic spot. Once a scenic spot is recognized, the AI records the start time and duration of its appearance in the video. For example, the AI may identify that the Eiffel Tower appears between 00:01:30 and 00:02:00 in the video, the Colosseum appears between 00:15:00 and 00:16:30, and Times Square appears between 00:30:45 and 00:31:15. Finally, the video platform sorts the scenic spots identified by the AI and their appearance times in the order of time in the video and adds corresponding travel location markings.

[0055] It should be noted that the time order of the scenic spots is the order of their appearance in the video, and the video can be a travel video uploaded by the video creator to the video platform or a movie or TV drama already stored on the video platform.

[0056] In this embodiment, by using AI to analyze the video content stored in the video platform to obtain the appearance times of the scenic spots in the video, and in the order of the time of the scenic spots in the video, the travel location markings are sequentially added to the scenic spots. In this embodiment, the video platform sorts the scenic spots identified by the AI and their appearance times in the order of time in the video and adds corresponding travel location markings. When a user wants to visit the scenic spots they have watched, corresponding travel services can be provided to the user based on the travel location markings, bringing a more convenient and rich viewing experience to the user, and at the same time providing new technical support for the digital transformation of the tourism industry.

[0057] The present invention provides an AI travel recommendation device. By analyzing the video images stored in a video platform and marking the scenic spots that appear in the video images with travel locations, when the video platform plays the scenic spots marked with travel locations, the travel services marked with travel locations are popped up, so that users can use the travel services to plan travel routes. In the present invention, the scenic spots that appear in the video images are automatically identified and marked in advance, so that when the video plays to the relevant scenic spots, the travel service information is triggered immediately, providing users with convenient and immediate travel inspiration and planning. This dynamic and contextual service presentation method greatly enhances the user's viewing experience and sense of participation.

[0058] For the specific limitations of the AI travel recommendation device, reference can be made to the limitations of the AI travel recommendation method in the above text, which will not be elaborated here. Each module in the above AI travel recommendation device can be implemented in whole or in part by software, hardware and their combination. The above modules can be embedded in the processor of the computer device in the form of hardware or independent of it, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0059] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 6 shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage media. The network interface of the computer device is used to communicate with an external client through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the server side of an AI travel recommendation method.

[0060] In one embodiment, a computer device is provided. The computer device can be a client, and its internal structure diagram can be as Figure 7As shown in the figure. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the client side of an AI travel recommendation method.

[0061] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Perform video frame analysis on the videos stored in the video platform, and mark the travel destinations for the scenic spots appearing in the video frames; When the video platform plays to the scenic spot marked with the travel destination, pop up the travel service marked with the travel destination, so that users can use the travel service to plan travel routes.

[0062] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the following steps are implemented: Perform video frame analysis on the videos stored in the video platform, and mark the travel destinations for the scenic spots appearing in the video frames; When the video platform plays to the scenic spot marked with the travel destination, pop up the travel service marked with the travel destination, so that users can use the travel service to plan travel routes.

[0063] It should be noted that for the functions or steps that the above computer-readable storage medium or computer device can achieve, reference can be made to the relevant descriptions on the server side and the client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0064] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0066] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. An AI tourism recommendation method, characterized in that: include: Perform video analysis on the videos stored on the video platform and mark the scenic spots appearing in the video as travel destinations; When the video platform plays the scenic spot marked at the travel destination, the travel service marked at the travel destination pops up, so that the user can use the travel service to plan a travel route.

2. The AI ​​travel recommendation method according to claim 1, characterized in that: The video analysis of the video stored in the video platform and the marking of the scenic spots appearing in the video include: Using AI to analyze video content stored in the video platform to obtain the appearance time of the scenic spots in the video; According to the chronological order of the scenic spots in the video, the scenic spots are marked as travel destinations in sequence.

3. The AI ​​travel recommendation method according to claim 1, characterized in that: Popping up the travel service marked with the travel destination so that the user can use the travel service to plan a travel route includes: The video platform analyzes the travel locations that the user is interested in based on the videos that the user has watched, and pushes videos and TV series containing the travel locations that the user is interested in to the user during holidays; When the user is watching the video and the TV series, the user is reminded to travel during the holidays and the travel route is generated.

4. The AI ​​travel recommendation method according to claim 1, characterized in that: The user plans a travel route using the travel service, including: The travel service generates a variety of travel routes and the cost of each travel route according to the user's location and the marked location of the scenic spots.

5. The AI ​​travel recommendation method according to claim 4, characterized in that: The travel route is sent by the travel service software to the user's mobile phone to enable the user to obtain the travel method.

6. The AI ​​travel recommendation method according to any one of claims 1 to 5, characterized in that: The travel service provides corresponding travel services for third-party travel software to access the video platform and map platform.

7. An AI tourism recommendation device, characterized in that: include: A marking module is used to analyze the video images stored in the video platform and mark the scenic spots appearing in the video images as travel destinations; The planning module is used to pop up the travel service marked at the travel destination when the video platform plays the scenic spot marked at the travel destination, so that the user can use the travel service to plan the travel route.

8. The AI ​​travel recommendation device according to any one of claim 7, characterized in that: The annotation module is also used for: Using AI to analyze video content stored in the video platform to obtain the appearance time of the scenic spots in the video; According to the chronological order of the scenic spots in the video, the scenic spots are marked as travel destinations in sequence.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the AI ​​travel recommendation method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the AI ​​travel recommendation method according to any one of claims 1 to 6 are implemented.

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