Tourist route customization method and system based on individual feature data

Abstract

The invention relates to the related field of characterization customization, and discloses a tourist route customization method and system based on individual feature data, and the method and system are realized by splitting and evaluating overall multi-feature information points of scenic spot objects in a delimited area and associating with the authority of a user terminal. Compared with an existing feature customization mode that a user side points to a screening object, a scenic spot matching selection mode of reversely matching user historical browsing behavior records based on scenic spot object features is achieved; according to the method, excessive screening of matching results by user preference information extreme caused by refining user popularity preferences by a promotion engine of a user side can be effectively avoided, and a retrieval behavior of classic matching is prevented from being caught in an information cocoon house.

Description

Technical Field

[0001] The present invention relates to the field of feature-based customization, and specifically to a method and system for customizing travel routes based on individual feature data. Background Art

[0002] With the rapid development of information technology and the rapid expansion of cloud big data volume, more and more intelligent auxiliary systems are used in all aspects of life. They can judge the preference characteristics of users based on the user's data records and cloud data content, and match and select appropriate information content for users from the massive data. This feature matching technology is widely applied in various fields such as product selection and private plan customization.

[0003] For feature-based travel customization, in the prior art, travel personality matching is obtained based on the statistics of existing user data. Therefore, there is an evaluation ratio problem caused by the data volume, that is, a large number of feature records in the data will occupy a larger tendency ratio during the evaluation process, resulting in the types with low data volume being ignored. Therefore, when matching features with scenic spots, these features will be ignored, and the matching results will be limited to the scenic spot objects with high data volume feature types. Especially after long-term use of the system, a situation will occur where the system induces and restricts and determines the user's preference trend. The system will continuously narrow the scope of the user's interested part for the adoption degree of the recommended content, that is, similar to the effect of the information cocoon. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for customizing travel routes based on individual feature data to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A method for customizing travel routes based on individual feature data, comprising: Obtaining the terminal association permission of the user, obtaining multiple information permission interfaces through the terminal association permission and performing information interaction connection, where the terminal association permission is used to represent the permission to obtain the recorded information of the user terminal software; Obtaining the travel target range of the user, and retrieving scenic spots based on the travel target range to obtain multiple scenic spot objects to be matched, where the travel target range is used to represent the user's city destination, and each city destination includes multiple scenic spot objects; Retrieving the evaluation information of multiple scenic spot objects to be matched through cloud data, statistically analyzing the evaluation information, generating multiple feature keywords and evaluation indexes corresponding to the feature keywords, and arranging them in order based on the evaluation indexes, where the evaluation index represents the satisfaction feedback of cloud users; Synchronize the user's historical browsing records through information interaction connection, search the historical browsing records based on characteristic keywords, match several matching records, and evaluate the interest based on the corresponding browsing behavior to obtain the user's characteristic preference index; Based on multiple feature preference indexes, the scenic spots to be screened are screened in descending order, multiple feature matching scenic spots are obtained, and corresponding customized travel routes are established.

[0006] As a further solution of the present invention: the step of establishing a customized travel route specifically includes: Search for multiple feature-matching attractions to obtain the corresponding average visit duration and location information; Based on the location information, traffic schemes are retrieved for multiple feature-matching scenic spots, and traffic schemes and corresponding time requirements between multiple sets of feature-matching scenic spots are obtained; The transportation schemes of the scenic spots are matched according to multiple sets of features for continuity simulation, so that the transportation schemes can be connected between the scenic spots based on the tour order in the customized route, and the total distance and total time in the transportation scheme are balanced, so as to establish the corresponding customized tourist routes.

[0007] As a further solution of the present invention: the step of establishing a customized travel route also includes: Obtain the user's travel preference time period as the start and end time of the customized route to conduct time management evaluation on the customized travel route; Obtaining the traffic efficiency status of several traffic plans in different time periods, wherein the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plans between scenic spots at different times; Based on the average playing time of the scenic spots in the customized travel route and the traffic efficiency status, cumulative time axis statistics are performed to divide the customized travel route into multiple natural day plans.

[0008] As a further solution of the present invention: it also includes the steps of: When the data volume of the characteristic keyword matching items in the historical browsing records is less than the evaluation requirement value, generating an evaluation linkage request; The evaluation linkage request is synchronized based on the information interaction connection and responded by the user terminal software, and multiple contents matching the characteristic keywords are obtained through cloud data retrieval and pushed to the user terminal; The browsing history is acquired by pushing feedback to update the feature preference index.

[0009] As a further solution of the present invention: it also includes the steps of: Obtaining user customization requirements, including scenic spot range requirements, transportation prices, scenic spot prices, and accommodation prices; Establish a screening plan based on user customization needs, and screen several attractions for customization needs before establishing a customized travel route; If the characteristic preference index of the scenic spot object is in the preset noun in the descending sequence or the scenic spot object is the main recommended scenic spot in the current scenic spot range, when the scenic spot object exceeds the user's customization requirements, an additional confirmation request is generated and pushed to the user terminal software.

[0010] The embodiment of the present invention aims to provide a travel route customization system based on individual feature data, comprising: A permission association module, used to obtain the user's terminal association permission, obtain multiple information permission interfaces through the terminal association permission and perform information interaction connection, and the terminal association permission is used to represent the permission to obtain the record information of the user's terminal software; A scenic spot exhaustive module is used to obtain the user's travel target range, and perform scenic spot search based on the travel target range to obtain multiple scenic spot objects to be matched. The travel target range is used to represent the user's city destination, and each city destination includes multiple scenic spot objects; A scenic spot evaluation module is used to retrieve evaluation information of multiple scenic spot objects to be matched through cloud data, collect statistics on the evaluation information, generate multiple feature keywords and evaluation indexes corresponding to the feature keywords, and arrange them in order based on the evaluation indexes, wherein the evaluation indexes represent satisfaction feedback from cloud users; The user matching module is used to synchronize the user's historical browsing records through information interaction connection, retrieve the historical browsing records based on characteristic keywords, match several matching records, and evaluate the interest based on the corresponding browsing behavior to obtain the user's characteristic preference index by statistics; The customized screening module is used to screen the scenic spots in descending order based on multiple feature preference indexes, obtain multiple feature matching scenic spots, and establish corresponding customized travel routes.

[0011] As a further solution of the present invention: the customized screening module includes: A classic search unit is used to search for multiple feature-matching scenic spots and obtain the corresponding average play time and location information; A traffic search unit, used to search for traffic plans for multiple feature-matching scenic spots based on location information, and obtain traffic plans and corresponding time requirements between multiple groups of feature-matching scenic spots; The route customization unit is used to perform continuity simulation of the transportation plan of the scenic spots according to multiple sets of feature matching, so that the transportation plan can be connected between the various scenic spots based on the tour order in the customized route, and the total distance and total time in the transportation plan are balanced, so as to establish a corresponding customized tourism route.

[0012] As a further aspect of the present invention: The customized screening module further includes: A start limiting unit for obtaining the user's preferred travel time period as the start and end time of the customized route to evaluate the time management of the tourism customized route; A traffic evaluation unit for obtaining the traffic efficiency status of several traffic plans at different time periods, where the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plan between scenic spots at different times; A cycle division unit for performing cumulative time axis statistics based on the average play duration of scenic spots in the tourism customized route and the traffic efficiency status to divide the tourism customized route into multiple natural day plans.

[0013] As a further aspect of the present invention: The linkage evaluation module specifically includes: An association trigger unit for generating an evaluation linkage request when the amount of data of the feature keyword matching items in the historical browsing record is less than the evaluation requirement value; An association push unit for synchronizing the evaluation linkage request based on the information interaction connection and responding by the user terminal software, retrieving multiple contents matching the feature keywords through cloud data and pushing them to the user side; A supplementary evaluation unit for obtaining browsing records through push feedback to update the feature preference index.

[0014] As a further aspect of the present invention: It further includes a customized screening module, specifically including: A customization acquisition unit for obtaining the user's customization requirements, where the user's customization requirements include scenic spot range requirements, transportation prices, scenic area prices, and accommodation prices; A customization screening unit for establishing a screening plan based on the user's customization requirements and screening the customization requirements of several scenic spots to be screened before establishing the tourism customized route; A screening confirmation unit for, when the feature preference index of the scenic spot object is in a preset position in the descending order sequence or the scenic spot object is the main promoted scenic spot in the current scenic spot range, generating an additional reconfirmation request and pushing it to the user terminal software when the scenic spot object exceeds the user's customization requirements.

[0015] Compared with the prior art, the beneficial effects of the present invention are: By splitting and evaluating the overall multi-feature information points of scenic spot objects within the defined area and realizing the association with the permissions of the user terminal, a scenic spot matching selection method based on the reverse matching of the historical browsing behavior records of users by the characteristics of scenic spot objects is achieved. Compared with the existing feature customization method of pointing to screening objects on the user side, it can effectively avoid the over-screening of the matching results caused by the extremeization of user preference information due to the refinement of the user popularity preference by the user-side promotion engine, and avoid the retrieval behavior of classic matching from falling into the information cocoon. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of a method for customizing a travel route based on individual characteristic data.

[0017] Figure 2 It is a flowchart of establishing a travel customized route in the method for customizing a travel route based on individual characteristic data.

[0018] Figure 3 It is a block diagram of the composition of a travel route customization system based on individual characteristic data. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] The following describes in detail the specific implementation manners of the present invention with reference to specific embodiments.

[0021] As Figure 1 described, a method for customizing a travel route based on individual characteristic data provided in an embodiment of the present invention includes the following steps: S10. Obtain the terminal association permission of the user, obtain a plurality of information permission interfaces through the terminal association permission and perform information interaction connection, where the terminal association permission is used to represent the permission to obtain the recorded information of the user terminal software; S20. Obtain the travel target range of the user, perform scenic spot retrieval based on the travel target range to obtain a plurality of to-be-matched scenic spot objects, where the travel target range is used to represent the city destination of the user, and each city destination includes a plurality of scenic spot objects; S30. Retrieve the evaluation information of a plurality of to-be-matched scenic spot objects through cloud data, count the evaluation information, generate a plurality of characteristic keywords and the evaluation indexes corresponding to the characteristic keywords, and perform sequential arrangement based on the evaluation indexes, where the evaluation index represents the satisfaction feedback of cloud users; S40. Synchronize the historical browsing records of the user through information interaction connection, retrieve the historical browsing records based on the characteristic keywords, match several matching records, and perform interest evaluation based on the corresponding browsing behaviors to statistically obtain the characteristic preference index of the user; S50. Perform descending order screening on the to-be-screened scenic spot objects based on a plurality of characteristic preference indexes, obtain a plurality of characteristic matching scenic spots, and correspondingly establish a travel customized route.

[0022] In this embodiment, a method for customizing a travel route based on individual feature data is provided. It is achieved by splitting and evaluating the overall multi-feature information points of scenic spot objects within a defined area and associating with the permissions of the user terminal, and a scenic spot matching and selection method based on reverse matching of the user's historical browsing behavior records with the characteristics of the scenic spot objects is achieved. Compared with the existing feature customization method that points to the screening object on the user side, it can effectively avoid the over-screening of the matching result caused by the polarization of the user preference information due to the refinement of the user popularity preference by the user-side promotion engine, and avoid the retrieval behavior of the classic matching from falling into the information cocoon. Specifically, in the existing technology, the matching process from the user side to the scenic spot side is usually adopted, that is, by analyzing the user's preference type, matching the observable scenic spot objects of the scenic area according to the preference type, and judging based on the coincidence degree to select the appropriate target object to set the tour plan. However, in the process of implementing this technical solution, the preference type of the user side is usually obtained based on the feedback of the user's browsing information, and the information push method in the existing technology is to perform repeated screening and refinement by judging the user's preferences. For example, every time ten pieces of information are pushed to the user, according to the user's click results, one or more ranges are determined for more refined information selection and push. This will lead to a result, that is, the polarization of the user's preferences caused by the system-dominated screening. For example, the user was originally interested in four types of ABC. Although ABC are all included in the ten pieces of information pushed for the first time, maybe the quality of A is higher. At this time, the user's browsing feedback information for A is better than BC. In order to improve the click-through rate of the pushed content to optimize the user stickiness, the system will further push the content associated with A and ignore the BC themes. This will lead to a single and extreme judgment of the user's preferences by the system. Therefore, if the matching method from the user side to the scenic spot is adopted, due to the polarization of the system, only the surface preferences polarized by the system will be used in the matching, resulting in the user missing a large number of potential contents that may actually be interested. The solution of this embodiment is that, first, regardless of the specific preferences of the user, but after learning that the user needs to customize a travel plan and determining the travel scope (such as a certain province or a certain city including multiple scenic spots), enumerate the scenic spots within this scope, and analyze and score each feature point of the scenic spot according to the feedback data of other users in the cloud (that is, the evaluation index), select the highest-scoring multiple feature points as the main tour feature points of the scenic area, and then match the user's historical push records and browsing records through these feature points. In this way, the possible preferences of the user can be mined, the user browsing click situation of the associated push information can be mined from a large number of historical browsing records, and the additional auxiliary push judgment can be performed through the user-side program to determine more diverse possibilities of the user's interest level in different scenic spots, thereby realizing a better push mechanism.

[0023] Such as Figure 2As shown, as another preferred embodiment of the present invention, the step of establishing a customized travel route specifically includes: S51, searching for multiple feature matching scenic spots to obtain corresponding average playing time and location information; S52, searching for transportation plans for multiple feature-matching scenic spots based on the location information, and obtaining transportation plans between multiple groups of feature-matching scenic spots and corresponding time requirements; S53, performing continuity simulation on the transportation schemes of the scenic spots according to the plurality of sets of feature matching, so that the transportation schemes can be connected between the scenic spots based on the tour sequence in the customized route, and the total distance and total time in the transportation scheme are balanced, so as to establish a corresponding customized tourism route.

[0024] In this embodiment, step S50 is further explained, especially the step of establishing a customized tourist route. The main considerations here are the continuity of the route during the tour (when the tourist route is completely customized), and the feasibility of transportation, that is, after coming out of scenic spot a, you can quickly go to scenic spot b and avoid useless repeated routes between multiple scenic spots. In addition, in the entire customized route, the total transportation time should be controlled within a lower time range. The specific simulation evaluation method here is the mathematical optimal solution evaluation. There are many optional technical implementation solutions suitable for different scenarios in the prior art, so no specific limitation is made.

[0025] As another preferred embodiment of the present invention, the step of establishing a customized travel route further includes: Obtain the user's travel preference time period as the start and end time of the customized route to conduct time management evaluation on the customized travel route; Obtaining the traffic efficiency status of several traffic plans in different time periods, wherein the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plans between scenic spots at different times; Based on the average playing time of the scenic spots in the customized travel route and the traffic efficiency status, cumulative time axis statistics are performed to divide the customized travel route into multiple natural day plans.

[0026] In this embodiment, the steps for establishing a customized travel route are further supplemented. In the previous embodiment, the sequence relationship between various scenic spots in the travel plan and the corresponding transportation implementation methods have been determined. However, for the actual travel process, time arrangement is also required. The travel time each day is limited, and for different users, the planned travel time each day is also different. Therefore, it is necessary to split the customized travel route based on the start and end times of the user's morning and evening travel, and divide it into a multi-day travel plan. Therefore, it is necessary to obtain the travel time consumption of different scenic spots and the time required for transportation in different time periods based on big data to make a rough time period plan.

[0027] As another preferred embodiment of the present invention, it further includes the steps: When the data volume of the feature keyword matching items in the historical browsing record is less than the evaluation requirement value, an evaluation linkage request is generated; Based on the information interaction connection, synchronize the evaluation linkage request and have the user terminal software respond. Retrieve multiple contents matching the feature keywords through cloud data and push them to the user side; Obtain the browsing record through the push feedback to update the feature preference index.

[0028] In this embodiment, based on the content of the foregoing embodiment, it can be understood that the reverse matching method in this embodiment can screen the feature content with a low data volume in the user's browsing record. Therefore, in order to determine whether the user has a certain interest in this part of the content, the user terminal software can also perform cloud data retrieval on the corresponding features and push the screening to the user, and judge the user's feature preference index according to the user's feedback. This process can be achieved by setting a customized solution generation cycle. When the user is about to travel to a certain place, inform the system of the travel scope several days in advance, and the system optimizes the user's daily information browsing push habits during this period to re-deliver the content of the insufficient user data type and complete the complement of the feature matching information.

[0029] As another preferred embodiment of the present invention, it further includes the steps: Obtain the user's customized requirements, where the user's customized requirements include scenic spot scope requirements, transportation prices, scenic spot prices, and accommodation prices; Based on the user's customized requirements, establish a screening plan, and screen the customized requirements for several scenic spots to be screened before establishing the customized travel route; If the feature preference index of the scenic spot object is in the preset name in the descending sequence or the scenic spot object is the main promoted scenic spot within the current scenic spot scope, when the scenic spot object exceeds the user's customized requirements, an additional confirmation request is generated and pushed to the user terminal software.

[0030] In this embodiment, the management steps of user-customized screening are supplemented. In the scheme customization and generation of the foregoing embodiment, it is all carried out by considering the matching degree between scenic spots and user characteristics, and does not consider more detailed related issues such as user acceptance, such as consumption issues. Therefore, in this embodiment, an additional range management method for user screening is set. Before scheme customization, the user inputs an acceptable consumption range (which can be the total consumption limit or the one-way consumption limit), and then screens the scenic spots and items; however, for most users, while setting consumption limits, if the interest in some items is relatively high, there may also be a situation where they want to try. Therefore, an additional step of reconfirmation request is set. When the system determines that the match is highly relevant but exceeds the limit, the user makes a subjective choice.

[0031] As Figure 3 shown, the present invention also provides a tourism route customization system based on individual characteristic data, which includes: A permission association module 100, configured to obtain the terminal association permission of the user, obtain a plurality of information permission interfaces through the terminal association permission and perform information interaction connection, and the terminal association permission is used to represent the permission to obtain the recorded information of the user terminal software; A scenic spot exhaustive module 200, configured to obtain the tourism target range of the user, perform scenic spot retrieval based on the tourism target range to obtain a plurality of scenic spot objects to be matched, and the tourism target range is used to represent the user's city destination, and each city destination includes a plurality of scenic spot objects; A scenic spot evaluation module 300, configured to retrieve the evaluation information of a plurality of scenic spot objects to be matched through cloud data, count the evaluation information, generate a plurality of feature keywords and evaluation indexes corresponding to the feature keywords, and perform sequential arrangement based on the evaluation indexes, and the evaluation index represents the satisfaction feedback of cloud users; A user matching module 400, configured to synchronize the historical browsing records of the user through information interaction connection, retrieve the historical browsing records based on the feature keywords, match several matching records, and perform interest evaluation based on the corresponding browsing behaviors to statistically obtain the user's feature preference index; A customization screening module 500, configured to perform descending screening on the scenic spot objects to be screened based on a plurality of feature preference indexes, obtain a plurality of feature-matched scenic spots, and correspondingly establish a tourism customization route.

[0032] As another preferred embodiment of the present invention, the customization screening module 500 includes: A classic retrieval unit, configured to retrieve a plurality of feature-matched scenic spots to obtain the corresponding average playing duration and location information; A traffic search unit, used to search for traffic plans for multiple feature-matching scenic spots based on location information, and obtain traffic plans and corresponding time requirements between multiple groups of feature-matching scenic spots; The route customization unit is used to perform continuity simulation of the transportation plan of the scenic spots according to multiple sets of feature matching, so that the transportation plan can be connected between the various scenic spots based on the tour order in the customized route, and the total distance and total time in the transportation plan are balanced, so as to establish a corresponding customized tourism route.

[0033] As another preferred embodiment of the present invention, the customized screening module 500 further includes: A start limit unit, used to obtain the user's travel preference period as the start and end time of the customized route, so as to perform time management evaluation on the customized travel route; A traffic evaluation unit, used to obtain the traffic efficiency status of several traffic plans in different time periods, wherein the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plans between scenic spots at different times; The period division unit is used to perform cumulative time axis statistics based on the average playing time of scenic spots in the customized travel route and the traffic efficiency status, so as to divide the customized travel route into multiple natural day plans.

[0034] As another preferred embodiment of the present invention, the linkage evaluation module specifically includes: An association triggering unit, configured to generate an evaluation linkage request when the amount of characteristic keyword matching item data in the historical browsing record is less than the evaluation requirement value; An associated push unit, used to synchronize the evaluation linkage request based on the information interaction connection and respond to it by the user terminal software, retrieve multiple contents matching the characteristic keywords through cloud data retrieval and push them to the user terminal; The supplementary evaluation unit is used to acquire browsing records by pushing feedback to update the feature preference index.

[0035] As another preferred embodiment of the present invention, it also includes a customized screening module, specifically including: A customization acquisition unit, used to acquire user customization requirements, wherein the user customization requirements include scenic spot range requirements, transportation prices, scenic spot prices, and accommodation prices; A customized screening unit is used to establish a screening plan based on user customization requirements and to screen several attractions to be screened for customization requirements before establishing a customized travel route; The screening confirmation unit is used to generate an additional confirmation request and push it to the user terminal software when the characteristic preference index of the scenic spot object is in a preset noun in a descending sequence or the scenic spot object is the main recommended scenic spot in the current scenic spot range, and when the scenic spot object exceeds the user's customization requirements.

[0036] 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 program can be stored in a non-volatile computer-readable storage medium. When the 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 various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various 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.

[0037] After considering the specification and the disclosure of the embodiments, those skilled in the art will readily conceive of other embodiments of the present disclosure. The present application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

[0038] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A travel route customization method based on individual characteristic data, characterized in that: Include: Obtain the user's terminal association authority, obtain multiple information authority interfaces through the terminal association authority and perform information interaction connection, and the terminal association authority is used to represent the authority to obtain record information of the user's terminal software; Acquire the user's travel target range, and perform scenic spot search based on the travel target range to acquire a plurality of scenic spot objects to be matched, wherein the travel target range is used to represent the user's city destination, and each city destination includes a plurality of scenic spot objects; Retrieving evaluation information of multiple scenic spots to be matched through cloud data, collecting statistics on the evaluation information, generating multiple characteristic keywords and evaluation indexes corresponding to the characteristic keywords, and arranging them in order based on the evaluation indexes, wherein the evaluation indexes represent satisfaction feedback from cloud users; Synchronize the user's historical browsing records through information interaction, search the historical browsing records based on characteristic keywords, match several matching records, and evaluate the interest based on the corresponding browsing behavior to obtain the user's characteristic preference index; Based on multiple feature preference indexes, the scenic spots to be screened are screened in descending order, multiple feature matching scenic spots are obtained, and corresponding customized travel routes are established.

2. The method for customizing a travel route based on individual characteristic data according to claim 1, characterized in that: The steps of establishing a customized travel route specifically include: Search for multiple feature-matching attractions to obtain the corresponding average visit duration and location information; Based on the location information, traffic schemes are retrieved for multiple feature-matching scenic spots, and traffic schemes and corresponding time requirements between multiple sets of feature-matching scenic spots are obtained; The transportation schemes of the scenic spots are matched according to multiple sets of features for continuity simulation, so that the transportation schemes can be connected between the scenic spots based on the tour order in the customized route, and the total distance and total time in the transportation scheme are balanced, so as to establish the corresponding customized tourist routes.

3. The method for customizing a travel route based on individual characteristic data according to claim 2, characterized in that: The step of establishing a customized travel route also includes: Obtain the user's travel preference time period as the start and end time of the customized route to conduct time management evaluation on the customized travel route; Obtaining the traffic efficiency status of several traffic plans in different time periods, wherein the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plans between scenic spots at different times; Based on the average playing time of the scenic spots in the customized travel route and the traffic efficiency status, cumulative time axis statistics are performed to divide the customized travel route into multiple natural day plans.

4. The method for customizing a travel route based on individual characteristic data according to claim 1, characterized in that: Also includes the steps: When the data volume of the characteristic keyword matching items in the historical browsing records is less than the evaluation requirement value, generating an evaluation linkage request; The evaluation linkage request is synchronized based on the information interaction connection and responded by the user terminal software, and multiple contents matching the characteristic keywords are obtained through cloud data retrieval and pushed to the user terminal; The browsing history is acquired by pushing feedback to update the feature preference index.

5. The method for customizing a travel route based on individual characteristic data according to claim 1, characterized in that: Also includes the steps: Obtaining user customization requirements, including scenic spot range requirements, transportation prices, scenic spot prices, and accommodation prices; Establish a screening plan based on user customization needs, and screen several attractions for customization needs before establishing a customized travel route; If the characteristic preference index of the scenic spot object is in a preset noun in the descending sequence or the scenic spot object is the main recommended scenic spot in the current scenic spot range, when the scenic spot object exceeds the user's customization requirements, an additional confirmation request is generated and pushed to the user terminal software.

6. A travel route customization system based on individual characteristic data, characterized in that: Include: A permission association module, used to obtain the user's terminal association permission, obtain multiple information permission interfaces through the terminal association permission and perform information interaction connection, wherein the terminal association permission is used to represent the permission to obtain the record information of the user's terminal software; A scenic spot exhaustive module is used to obtain the user's travel target range, and perform scenic spot search based on the travel target range to obtain multiple scenic spot objects to be matched. The travel target range is used to represent the user's city destination, and each city destination includes multiple scenic spot objects; A scenic spot evaluation module is used to retrieve evaluation information of multiple scenic spot objects to be matched through cloud data, collect statistics on the evaluation information, generate multiple feature keywords and evaluation indexes corresponding to the feature keywords, and arrange them in order based on the evaluation indexes, wherein the evaluation indexes represent satisfaction feedback from cloud users; The user matching module is used to synchronize the user's historical browsing records through information interaction connection, search the historical browsing records based on characteristic keywords, match several matching records, and evaluate the interest based on the corresponding browsing behavior to obtain the user's characteristic preference index by statistics; The customized screening module is used to screen the scenic spots in descending order based on multiple feature preference indexes, obtain multiple feature matching scenic spots, and establish corresponding customized travel routes.

7. The travel route customization system based on individual characteristic data according to claim 6, characterized in that: The customized screening module includes: A classic search unit is used to search for multiple feature-matching scenic spots and obtain the corresponding average play time and location information; A traffic search unit, used to search for traffic plans for multiple feature-matching scenic spots based on location information, and obtain traffic plans and corresponding time requirements between multiple groups of feature-matching scenic spots; The route customization unit is used to perform continuity simulation of the transportation plan of the scenic spots according to multiple sets of feature matching, so that the transportation plan can be connected between the various scenic spots based on the tour order in the customized route, and the total distance and total time in the transportation plan are balanced, so as to establish a corresponding customized tourist route.

8. The travel route customization system based on individual characteristic data according to claim 7, characterized in that: The customized screening module also includes: A start limit unit, used to obtain the user's travel preference period as the start and end time of the customized route, so as to perform time management evaluation on the customized travel route; A traffic evaluation unit, used to obtain the traffic efficiency status of several traffic plans in different time periods, wherein the traffic efficiency status is used to characterize the traffic duration of the time period for completing the traffic plans between scenic spots at different times; The period division unit is used to perform cumulative time axis statistics based on the average playing time of scenic spots in the customized travel route and the traffic efficiency status, so as to divide the customized travel route into multiple natural day plans.

9. The travel route customization system based on individual characteristic data according to claim 6, characterized in that: Linkage assessment module, including: An association triggering unit, configured to generate an evaluation linkage request when the amount of characteristic keyword matching item data in the historical browsing record is less than the evaluation requirement value; An associated push unit, used to synchronize the evaluation linkage request based on the information interaction connection and respond to it by the user terminal software, retrieve multiple contents matching the characteristic keywords through cloud data retrieval and push them to the user terminal; The supplementary evaluation unit is used to acquire browsing records by pushing feedback to update the feature preference index.

10. The travel route customization system based on individual characteristic data according to claim 6, characterized in that: Also included are custom screening modules, including: A customization acquisition unit, used to acquire user customization requirements, wherein the user customization requirements include scenic spot range requirements, transportation prices, scenic spot prices, and accommodation prices; A customized screening unit is used to establish a screening plan based on user customization requirements and to screen several attractions to be screened for customization requirements before establishing a customized travel route; The screening confirmation unit is used to generate an additional confirmation request and push it to the user terminal software when the characteristic preference index of the scenic spot object is in a preset noun in a descending sequence or the scenic spot object is the main recommended scenic spot in the current scenic spot range, and when the scenic spot object exceeds the user's customization requirements.

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