CN112989214A - Tourism information display method and related equipment - Google Patents

Tourism information display method and related equipment Download PDF

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Publication number
CN112989214A
CN112989214A CN202110550020.6A CN202110550020A CN112989214A CN 112989214 A CN112989214 A CN 112989214A CN 202110550020 A CN202110550020 A CN 202110550020A CN 112989214 A CN112989214 A CN 112989214A
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China
Prior art keywords
information
scenic spot
target
user
target scenic
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CN202110550020.6A
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Chinese (zh)
Inventor
傅艺胜
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Hubei Youyou Zhiyou Network Technology Co ltd
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Hubei Youyou Zhiyou Network Technology Co ltd
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Priority to CN202110550020.6A priority Critical patent/CN112989214A/en
Publication of CN112989214A publication Critical patent/CN112989214A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/14Travel agencies

Abstract

The embodiment of the application provides a method, a device and a system for displaying tourist information, belongs to the technical field of data processing, and solves the problems that in the existing scheme, when the tourist information is displayed, the experience is poor, the interaction is lacked, and the route cannot be intelligently recommended according to the requirements of users. The method comprises the following steps: acquiring a user request and user history request information; acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information; analyzing the historical request information to obtain user habit information; screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot; and displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.

Description

Tourism information display method and related equipment
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to a tourism information display method and related equipment.
Background
In recent years, along with the continuous increase of domestic economy, the consumption level of residents is gradually improved, the temperature of the tourism market of China is continuously increased, and the tourism consumption becomes the normal choice of the daily life of the residents of China. For tourism consumers, advance knowledge of scenic spots in a scenic area before traveling is necessary, and advance planning of a tour route is also an effective method for improving the tourism experience. With the rapid development of the internet, tourism consumers increasingly rely on the network to obtain tourism information, and the current online tourism network platform mainly takes pictures and characters as the main display mode, and the plane video display is just started.
At present, rely on picture, characters and plane video when showing tourist information among the current scheme, and then bring tourist information unreal, not pertinent, experience sense poor, lack the mutual sensation, can't recommend the problem of route according to user's demand intelligence simultaneously, when the scenic spot that contains numerous sight spots, the user selects the scenic spot by oneself and generates the route of touring comparatively difficultly, and then can influence user's touring and experience.
Disclosure of Invention
An object of the embodiment of the application is to provide a method for displaying travel information, and the technical problems that the travel information is not real, is not appropriate, is poor in experience sense and lacks of mutual sensation and a route cannot be intelligently recommended according to user requirements in the prior art are solved.
In a first aspect, an embodiment of the present application provides a method for displaying travel information, including:
acquiring a user request and user history request information;
acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
analyzing the historical request information to obtain user habit information;
screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot;
and displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
Optionally, the step of obtaining the user request includes;
acquiring user input information and real-time hot spot travel information;
generating a prediction request according to the user input information and the real-time hot spot travel information;
displaying the prediction request to enable a user to select;
taking the prediction request selected by a user as the user request.
Optionally, the step of analyzing the historical request information to obtain the user habit information includes:
acquiring historical tour information corresponding to the historical request information, wherein the historical tour information comprises the types of the historical tour spots and tour times corresponding to the types of the historical tour spots;
training a deep learning model according to the types of the scenic spots visited in the history and the number of visits corresponding to the types of the scenic spots visited in the history to obtain a target model;
and taking the target model as the user habit information.
Optionally, the step of filtering the destination scenic spot information based on the user habit information to generate an initial recommended route, where the destination scenic spot information includes different types of destination scenic spot information in the destination scenic spot includes:
comparing whether the type of the target scenery spot information is matched with the user habit information or not;
if the type of the target scenery spot information is not matched with the user habit information, deleting the target scenery spot information;
and if the target sight spot information is matched with the user habit information, generating the initial recommended route according to the target sight spot information.
Optionally, before the step of generating the initial recommended route according to the destination point information, the method further includes:
recording the target scenery spot information which is not matched with the user habit information, and generating a standby tour list;
and displaying the standby tour list.
Optionally, the step of displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information includes:
acquiring recommended scenic spots in the initial recommended route;
judging whether the recommended scenic spot is displayed or not based on the strategy information of the target scenic spot information in the target scenic spot information;
if the score of the recommended scenic spot in the strategy information is less than or equal to a threshold value, the recommended scenic spot is not displayed;
if the score of the recommended scenic spot in the strategy information is larger than a threshold value, generating a target recommended route;
and displaying the destination scenic spot information according to the destination recommended route.
Optionally, before the step of displaying the destination scenic spot information according to the destination recommended route, the method further includes:
dividing the target recommended route into a target scenic spot area and a tour road;
generating an interaction component corresponding to the tour road based on the tour road;
acquiring user interaction information;
and generating feedback information based on the interaction information and the interaction component, wherein the feedback information is used for calculating the engagement data of the user.
In a second aspect, an embodiment of the present application provides a travel information display apparatus, including:
the data acquisition module is used for acquiring a user request and user history request information;
the data receiving module is used for acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
the analysis module is used for analyzing the historical request information to obtain user habit information;
the screening module is used for screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot;
and the display module is used for displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor being adapted to perform the steps of the method for presenting travel information as described above when executing the computer program stored in the memory.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored: which when executed by a processor, performs the steps of the travel information presentation method as described above.
According to the tourism information display method provided by the embodiment of the application, a user request and user history request information are obtained; by predicting the hot tourist information, the user can quickly, simply and conveniently select scenic spots meeting the user expectations, and requests can be generated more intelligently; acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information; analyzing the historical request information to obtain user habit information; by training the network learning model, the touring preference of the user can be obtained, and the target scenic spot can be processed according to the user preference; screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot; the scenic spots in the target scenic spot are screened according to the preference of the user, so that the process that the user carries out screening by himself can be avoided, the recommended tour route is closer to the requirements of the user, and the problems that when the number of the scenic spots is too large, tour information is unreal, not appropriate, poor in experience and lack of interaction, meanwhile, the route cannot be intelligently recommended according to the requirements of the user, or the recommended route does not accord with the requirements of the user are solved; the target scenic spot information is displayed based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information, the scenic spots in the scenic spots are screened according to the user preference, then the screened scenic spots are screened secondarily through the strategy information, and under the condition that the user preference is met, the situation that the scene points with low evaluation appear in the recommended route and influence the user experience is avoided; through increasing interactive component, know the user and in the participation condition when visiting the scenic spot according to recommended route, and then increased the interest for user's visit.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for displaying travel information provided in an embodiment of the present application;
FIG. 2 is a schematic view of a device for displaying travel information according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a storage electronic device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the embodiments in the present application.
The terms "comprising" and "having," and any variations thereof, as referred to in the embodiments of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the application provides a tourism information display method, which comprises the following steps:
s101, acquiring a user request and user history request information;
in a possible embodiment, the step of obtaining the user request includes;
acquiring user input information and real-time hot spot travel information;
generating a prediction request according to the user input information and the real-time hot spot travel information;
displaying the prediction request to enable a user to select;
taking the prediction request selected by a user as the user request.
Illustratively, the prediction request is generated according to the user input information and the real-time hot spot travel information, the user does not need to input complete information, fuzzy search is realized, selection is intelligently provided for the user, and the user can quickly, simply and conveniently select a scenic spot meeting the user expectation.
S102, acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
illustratively, tour information such as panoramic pictures and videos of tour spots, tour guide explanation and 3D geographic information is uploaded to a cloud server and is generated into a two-dimensional code, a user downloads VR tour information software on a computer or a mobile phone by scanning the two-dimensional code, clicks to enter any one of the sights marked on the map at any time, feels panoramic reality on site by VR placement, is accompanied with tour guide explanation and other information search, and acquires tour information such as hotel information, travel mode information or shopping information around six factors of eating, living, traveling, purchasing and entertaining in life of people.
S103, analyzing the historical request information to obtain user habit information;
in a possible embodiment, the step of analyzing the historical request information to obtain the user habit information includes:
acquiring historical tour information corresponding to the historical request information, wherein the historical tour information comprises the types of the historical tour spots and tour times corresponding to the types of the historical tour spots;
training a deep learning model according to the types of the scenic spots visited in the history and the number of visits corresponding to the types of the scenic spots visited in the history to obtain a target model;
and taking the target model as the user habit information.
Illustratively, the types of scenic spots liked by a user, such as performance performances, landscapes, animals or historical displays, are obtained by counting historical tour information of the user, the preference degree of the user to different types of scenic spots is analyzed to obtain the preference of the user, a deep learning model is trained according to the preference of the user, the trained model is used as the habit information of the user, the basic steps of intelligently screening the scenic spots are completed, and the following intelligent scenic spot screening and the intelligent generation of recommended routes can be realized.
S104, screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot;
in a possible implementation manner, the step of filtering the destination scenic spot information based on the user habit information to generate an initial recommended route, where the destination scenic spot information includes different types of destination scenic spot information in the destination scenic spot includes:
comparing whether the type of the target scenery spot information is matched with the user habit information or not;
if the type of the target scenery spot information is not matched with the user habit information, deleting the target scenery spot information;
and if the target sight spot information is matched with the user habit information, generating the initial recommended route according to the target sight spot information.
Illustratively, the target scenic spot information is screened according to the preference of the user, and scenic spots which the user does not like to visit are removed, so that intelligent scenic spot screening is realized, a recommended route is intelligently generated, the user does not need to screen one by one, the time of the user is saved, and the experience of the user for checking the target scenic spot information is also improved.
And S105, displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
In a possible implementation manner, the step of presenting the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information includes:
acquiring recommended scenic spots in the initial recommended route;
judging whether the recommended scenic spot is displayed or not based on the strategy information of the target scenic spot information in the target scenic spot information;
if the score of the recommended scenic spot in the strategy information is less than or equal to a threshold value, the recommended scenic spot is not displayed;
if the score of the recommended scenic spot in the strategy information is larger than a threshold value, generating a target recommended route;
and displaying the destination scenic spot information according to the destination recommended route.
Illustratively, the recommended scenic spots conforming to the preference of the user are screened through the strategy information, the recommended scenic spot information with the score higher than the threshold value is displayed, the condition that the user experience is not added due to other artificial reasons is avoided, and secondary screening is completed.
Obtaining a user request and user history request information; by predicting the hot tourist information, the user can quickly, simply and conveniently select scenic spots meeting the user expectations, and requests can be generated more intelligently; acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information; analyzing the historical request information to obtain user habit information; by training the network learning model, the touring preference of the user can be obtained, and the target scenic spot can be processed according to the user preference; screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot; the scenic spots in the target scenic spot are screened according to the preference of the user, so that the process that the user carries out screening by himself can be avoided, the recommended tour route is closer to the requirements of the user, and the problems that when the number of the scenic spots is too large, tour information is unreal, not appropriate, poor in experience and lack of interaction, meanwhile, the route cannot be intelligently recommended according to the requirements of the user, or the recommended route does not accord with the requirements of the user are solved; the target scenic spot information is displayed based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information, the scenic spots in the scenic spots are screened according to the user preference, then the screened scenic spots are screened secondarily through the strategy information, and under the condition that the user preference is met, the situation that the scene points with low evaluation appear in the recommended route and influence the user experience is avoided; through increasing interactive component, know the user and in the participation condition when visiting the scenic spot according to recommended route, and then increased the interest for user's visit.
In a possible implementation manner, before the step of generating the initial recommended route according to the destination point information, the method further includes:
recording the target scenery spot information which is not matched with the user habit information, and generating a standby tour list;
and displaying the standby tour list.
Illustratively, in order to avoid missing scenic spot information in a target scenic spot, the target scenic spot information which is intelligently rejected and is unmatched with the user habit information is recorded, a standby tour list is generated and displayed, and under the condition that the user temporarily changes tour preferences, the user can timely find the required scenic spot information, so that the scenic spot information is more humanized and can meet the user requirements.
In a possible implementation manner, before the step of presenting the destination scenic spot information according to the destination recommended route, the method further includes:
dividing the target recommended route into a target scenic spot area and a tour road;
generating an interaction component corresponding to the tour road based on the tour road;
acquiring user interaction information;
and generating feedback information based on the interaction information and the interaction component, wherein the feedback information is used for calculating the engagement data of the user.
Illustratively, by adding the interactive component, the participation condition of the user when visiting the scenic spot according to the recommended route is known, so that the interest is increased for the visiting of the user, and the participation sense of the user when watching the tour information is increased.
Illustratively, when a tourist enters the target scenic spot, the software of the product is opened, and according to various prompts on site, the tourist can enter a fruit picking and vegetable picking link to search for tasks of each corner of the collected scenic spot, and as more and more fruits are collected, points are more and more, wherein the points are exchanged by operations of sharing and inviting new members, donkey friends grouping tour, scenic spot comment, VR treasure searching and the like, and then the product is exchanged in a mall, and the exchanged gift is a scenic spot free tour, a bonus, a gift and the like.
Illustratively, when a tourist enters the target scenic spot, through the identification map or the scenic spot map poster, the VR instructor can appear on the identification map, and show scenic spot route information and scenic spot introduction to the tourist, so that the characteristics of the scenic spot are more unique.
Illustratively, the destination scenic spot information is VR video information, and the VR video information is produced by the following processes:
planning an optimal tour route according to the characteristics of the scenic spots, making tour spots needing to be shot according to the tour route, making how each sight spot arrives, and making and processing panoramic pictures and videos of the arrived sightseeing spots, tour guide explanation, 3D geographic information and other tour information to generate a planning document. The system of making a video recording team carries out panorama shooting in the live-action is looked a view, and output panorama or panoramic video, the designer carries out the processing of cutting, output panorama or video, and wherein, panorama shooting's requirement includes: data acquisition equipment requires, panorama data acquisition requires and gathers the environmental requirement, and when above-mentioned data acquisition equipment requires for gathering ground panorama, the collection of panorama adopts the 360 panoramic cameras of Insta, and panoramic video's collection adopts: google YI JUMP VR panoramic camera; the data acquisition equipment is required to adopt equipment above the level of Xinntom 3 Professional 4K in Xinjiang when acquiring high-altitude panorama. The panoramic data acquisition requirements are that the image size is required to be larger than 14000px 7000px, splicing dislocation is not allowed, overexposure or underexposure is not allowed, the image must be displayed clearly, blurring is not caused, the horizon must be ensured to be a horizontal straight line, the appearance of a tripod in the shadow or mirror surface of the tripod is not allowed, and the ground shooting height is not increased: not less than 155cm, the height of a spacious place needs to be more than 170cm, the height of high-altitude shooting: not less than 150 m. The weather that the above-mentioned collection environment requires for the shooting environment is: the method comprises the steps of automatically splicing and synthesizing panoramic images in a panoramic camera and a panoramic camera on sunny days or cloudy days (the scene needs to be transparent and bright, the environment without any fog or other substances for shielding remote scenes is not provided, tourists in the shooting environment cannot be too dense, the shooting environment needs to be clean and tidy, the clearness and the attractiveness of the panoramic images or panoramic videos are further ensured, the panoramic images or the panoramic videos can be automatically spliced and synthesized, the panoramic images and the videos without dead angles can be watched without post-processing, photo shop or other filter effect software can be used for processing the image effect in the later stage, the videos are cut, special effects or subtitles are added, video samples are output, VR panoramic images and videos are uploaded to a VR tourism information display system, tourism information such as tourist explanation and 3D geographic information related to each shooting scene point is added, a user experiences VR tourism video presented by the VR tourism information display system, and displays the virtual reality video with a completely, the tourism information is displayed in all directions by the intuitive feeling like the actual situation, the verisimilitude of the mode is displayed, and the accuracy of the tourism consumer in selecting the tourism product can be improved.
Illustratively, a user touches or clicks a turning map through a mobile phone or a computer based on the VR tourist information display system, selects a clicked area to know a tourist attraction wanted, and can enter a VR panorama page after clicking the selected attraction. Above-mentioned VR tourism information display system has accessed VR hotel, VR food and beverage, VR car of hiring, lets the tourist just can directly perceivedly know the room type in hotel in advance and arrange not enough going out, and the food and beverage gourmet that provides connects the motorcycle type and the seat of delivering, and the true one-stop service that brings for the tourist of experiencing the VR function.
In a possible implementation manner, since the number of pieces of attack information of the target scenic spot information in the target scenic spot information is large, in order to reduce the acquisition of the attack information, the method further includes acquiring user basic information, where the basic information includes the age and the gender of the user, and screening the attack information of the target scenic spot information in the target scenic spot information according to the age and the gender of the user, so as to reduce the number of pieces of attack information of the target scenic spot information in the target scenic spot information, thereby reducing the amount of calculation for data processing, so that the recommended route better meets the requirements of the user.
Illustratively, the method for filtering the attack information of the target scenic spot information in the target scenic spot information according to the age and the gender of the user comprises the steps of estimating the consumption capacity of the user according to the age and the gender of the user and the historical request information of the user, and filtering the attack information of the target scenic spot information in the target scenic spot information according to the consumption capacity of the user, for example, filtering the attack information of consumption scenes such as hotel attack and travel mode attack which are not consistent with the consumption capacity of the user, further reducing the attack information, and reducing the calculation amount of data processing, so that the recommended route is more consistent with the requirements of the user.
Illustratively, an embodiment of the present application provides a travel information display system, where the travel information display system may implement: acquiring a user request and user history request information; acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information; analyzing the historical request information to obtain user habit information; screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot; and displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
The tourism information display system has the following functions that: adding, sequencing and deleting the panoramic image; modifying the name of the scene; setting an initial visual angle and range; setting a hotspot function; and further, the panoramic management function of the target scenic spot is realized.
The above-mentioned tourism information display system still includes: setting a page title; background music; a scene explanation; a browsing mode; setting right key information; WeChat shares title, icon and description; people's qi and praise functions; saying one says a function; thereby realizing the function of the control panel.
The above-mentioned tourism information display system still includes:
a location point icon displayed on the map; setting the radius and color of the radar, enabling the radius of the radar to appear together with the mark point, and rotating the radar by 360 degrees; map positioning, which comprises nine positioning points, namely an upper positioning point, a lower positioning point, a left positioning point, a right positioning point and a middle positioning point; uploading a map; managing the position of a positioning point; thereby realizing the map setting function.
The above-mentioned tourism information display system still includes: the hot spot setting function: setting a page title; a picture type; a FLASH type; a dynamic sequence type. The work preview function: the effects of the work being edited can be quickly viewed. The two-dimension code generating function: and (5) generating a two-dimensional code by linking scenic spots, and popularizing and propagating the scenic spots in aspects. In one possible implementation, as shown in fig. 2, an embodiment of the present application provides a travel information display apparatus, including:
a data acquisition module 201, configured to acquire a user request and user history request information;
the data receiving module 202 is configured to obtain tourism information based on the user request, where the tourism information includes target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
the analysis module 203 is used for analyzing the historical request information to obtain user habit information;
the screening module 204 is configured to screen the target scenic spot information based on the user habit information to generate an initial recommended route, where the target scenic spot information includes different types of target scenic spot information in the target scenic spot;
a display module 205, configured to display the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
In one possible implementation, referring to fig. 3, an electronic system 300 is provided according to an embodiment of the present application, which includes a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320, and when the processor 320 executes the computer program 311, the steps of the big data based intelligent goods selling method are implemented as described above.
In one possible implementation, please refer to fig. 4, an embodiment of the present application provides a computer-readable storage medium 400, on which a computer program 411 is stored, where the computer program 411 is executed by a processor to implement the steps of the big-data based intelligent goods selling method as described above.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, the division of the above-mentioned units is only one logical function division, and there may be other division manners in actual implementation, and for another example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above functions, if implemented in the form of software functional units and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application, which essentially or partly contribute to the prior art, may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above methods of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above embodiments are merely specific implementations of the embodiments of the present application, which are used to illustrate the technical solutions of the embodiments of the present application and not to limit the embodiments, and the scope of the embodiments of the present application is not limited thereto, and although the embodiments of the present application are described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the embodiments of the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A travel information display method is characterized by comprising the following steps:
acquiring a user request and user history request information;
acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
analyzing the historical request information to obtain user habit information;
screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot;
and displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
2. The method for displaying travel information of claim 1, wherein the step of obtaining a user request includes;
acquiring user input information and real-time hot spot travel information;
generating a prediction request according to the user input information and the real-time hot spot travel information;
displaying the prediction request to enable a user to select;
taking the prediction request selected by a user as the user request.
3. The method of claim 1, wherein the step of analyzing the historical request information to obtain the user habit information comprises:
acquiring historical tour information corresponding to the historical request information, wherein the historical tour information comprises the types of the historical tour spots and tour times corresponding to the types of the historical tour spots;
training a deep learning model according to the types of the scenic spots visited in the history and the number of visits corresponding to the types of the scenic spots visited in the history to obtain a target model;
and taking the target model as the user habit information.
4. The method as claimed in claim 1, wherein the step of filtering the destination scenic spot information based on the user habit information to generate an initial recommended route, wherein the destination scenic spot information includes different types of destination scenic spot information in the destination scenic spot, comprises:
comparing whether the type of the target scenery spot information is matched with the user habit information or not;
if the type of the target scenery spot information is not matched with the user habit information, deleting the target scenery spot information;
and if the target sight spot information is matched with the user habit information, generating the initial recommended route according to the target sight spot information.
5. The method of claim 4, wherein prior to the step of generating the initial recommended route based on the destination point information, the method further comprises:
recording the target scenery spot information which is not matched with the user habit information, and generating a standby tour list;
and displaying the standby tour list.
6. The method as claimed in claim 1, wherein the step of presenting the target scenic spot information based on the initial recommended route and the strategy information of the target spot information in the target scenic spot information comprises:
acquiring recommended scenic spots in the initial recommended route;
judging whether the recommended scenic spot is displayed or not based on the strategy information of the target scenic spot information in the target scenic spot information;
if the score of the recommended scenic spot in the strategy information is less than or equal to a threshold value, the recommended scenic spot is not displayed;
if the score of the recommended scenic spot in the strategy information is larger than a threshold value, generating a target recommended route;
and displaying the destination scenic spot information according to the destination recommended route.
7. The travel information presentation method as claimed in claim 6, further comprising, before the step of presenting the destination scenic spot information according to the destination recommended route:
dividing the target recommended route into a target scenic spot area and a tour road;
generating an interaction component corresponding to the tour road based on the tour road;
acquiring user interaction information;
and generating feedback information based on the interaction information and the interaction component, wherein the feedback information is used for calculating the engagement data of the user.
8. A travel information display device, comprising:
the data acquisition module is used for acquiring a user request and user history request information;
the data receiving module is used for acquiring tourism information based on the user request, wherein the tourism information comprises target scenic spot information and strategy information of the target scenic spot information in the target scenic spot information;
the analysis module is used for analyzing the historical request information to obtain user habit information;
the screening module is used for screening the target scenic spot information based on the user habit information to generate an initial recommended route, wherein the target scenic spot information comprises different types of target scenic spot information in the target scenic spot;
and the display module is used for displaying the target scenic spot information based on the initial recommended route and the strategy information of the target scenic spot information in the target scenic spot information.
9. An electronic device, comprising: memory, processor and computer program stored in the memory and executable on the processor, characterized in that the processor is adapted to carry out the steps of the method of presenting travel information according to any one of claims 1 to 7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when being executed by a processor, carries out the steps of the method for presenting travel information according to any one of claims 1 to 7.
CN202110550020.6A 2021-05-20 2021-05-20 Tourism information display method and related equipment Pending CN112989214A (en)

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