TW202103067A - Travel itinerary information processing method and application system thereof based on traffic approach, a starting city and a target location - Google Patents

Abstract

The present invention is a travel itinerary information processing method and an application system thereof. The method includes step S1 of obtaining an arrival station where the user reaches the target location through the traffic approach according to the traffic approach, a starting city and the target location; step S2 of obtaining each scenic spot corresponding to the target location as the target scenic spot according to the target location and getting the scenic spot information of each target scenic spot, wherein the scenic spot information includes an expected play time of the target scenic spot, an evaluation value of the scenic spot and the location information of the scenic spot; step S3 of selecting possible preferred scenic spot of the user from target scenic spots as a planned scenic spot according to the number of travel days, user's preferences and scenic spot information; and step S4 of generating an itinerary planning result containing the planned scenic spots sorted in the order of recommended tour according to the scenic spot information, the planned scenic spot and the arrival station.

Description

Tourism itinerary information processing method and its application system

The invention relates to an information processing method and its system, in particular to a travel itinerary information processing method and its application system.

With the development of transportation, people’s travel has become more and more convenient. Therefore, during holidays, people will prefer to travel independently so as to facilitate a relaxing tour with friends, family or themselves, and enjoy and group tours. Compared to a more free travel atmosphere.

However, before traveling independently, people usually need to make a lot of pre-preparation to develop a travel plan for themselves, so as to better choose some attractions that they or their relatives and friends prefer to visit, and avoid time due to poor planning when traveling. Problems with chaotic arrangements or forgetting to visit certain scenic spots during the trip.

Some existing travel customization services usually make a series of travel plans in advance based on the attractions of each city, and then let users travel according to these fixed travel plans; some travel customization services are manually customized for users’ travel itineraries, thereby Help users make a travel plan that is as reasonable as possible and meets the needs of users.

However, the former cannot meet the needs of diversified users. Some users want to emphasize scenery, and some users prefer romantic travel while also hoping to visit some cultural attractions. Fixed tourism customization services cannot meet the preferences of all users; the latter Although it is possible to customize travel plans for users, this service not only requires additional staff to spend energy to continuously communicate with users and formulate plans, but also incur additional itinerary customization costs for users. At the same time, manual planning is bound to be insufficient. Scientific arrangement.

In order to solve the above-mentioned problems, the main purpose of the present invention is to provide a travel itinerary information processing method and its application system, which can formulate travel itineraries that meet the user's expectations according to user needs, thereby saving the user's own planning time.

To achieve the above-mentioned purpose, the main technical means used in the present invention is to make the aforementioned travel itinerary information processing method, which is mainly used for information input by the user at least including a starting city, a target location, a way of going out, a user preference, and a number of travel days. The user's travel data planning a travel itinerary that can meet the user's expectations, the method includes the following steps: Step S1, according to the outgoing mode, the starting city, and the target location, obtain the arrival site of the user to reach the target location through the outing method; step S2, obtain each scenic spot corresponding to the target location as a target according to the target location Attractions, and obtain the scenic spot information of each target scenic spot, the scenic spot information includes the scenic spot location information of the target scenic spot, the expected play time of a scenic spot, and a scenic spot evaluation value; step S3, according to the number of travel days, the user preference and the scenic spot The message screens out the attractions that the user may prefer from each target attraction as a planned tourist attraction; step S4, according to the information of the attraction, the planned tourist attraction, and the arrival site, generate a list of planned tourist attractions in the order of recommended travel Itinerary planning results.

In order to achieve the above purpose, another main technical means adopted by the present invention is to make the aforementioned travel itinerary information processing method in the user’s itinerary suggestion process application system, when there are multiple user preferences in the user’s travel data, according to different weights The ratio multiplies the evaluation value of the attraction corresponding to the user's preference to obtain different comprehensive evaluation values, and generates multiple itinerary planning results through the aforementioned travel itinerary information processing method, and finally feedbacks the multiple itinerary planning results to the user to provide the user with a Suggested itinerary.

In order to achieve the above-mentioned purpose, another main technical means adopted by the present invention is to make the aforementioned travel itinerary information processing method in the user’s itinerary suggestion process application system. When there is one user preference in the user’s travel data, it is judged based on the user’s travel data The user’s possible preferences, thereby composing the user’s possible preferences and user preferences into a new speculative preference, and further multiplying the evaluation value of the scenic spot corresponding to the speculative preference according to different weight ratios to obtain different comprehensive evaluation values, and through the aforementioned The travel itinerary information processing method generates multiple itinerary planning results to feedback to the user so as to provide the user with an itinerary suggestion. Efficacy of the present invention

According to the travel itinerary information processing method and its application system of the present invention, since the scenic spots in the location are determined as the target scenic spots according to the target location selected by the user, and the target scenic spots are selected according to the user preferences, the user's travel time can be maximized The planned tourist attractions that meet the user’s preferences are selected, and the itinerary planning of the planned tourist attractions is further carried out, so as to obtain the itinerary planning results that contain not only the various attractions that meet the user’s preferences, but also the optimized tourist routes of the scenic spots. Arrange travel plans for users to the maximum within the travel days. The travel itinerary information processing method of the present invention can provide travel planning results that meet the user's preferences based on the travel data input by the user, so that the user does not need to make a lot of preparations in advance, and only needs to input preferences and travel-related information to get travel planning suggestions.

In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the following describes the travel itinerary information processing method of the present invention in detail with reference to the embodiments and drawings. <Example>

In this embodiment, the computer program that executes the travel itinerary information processing method of the present invention can automatically generate an outing plan composed of recommended tourist attractions based on the user travel information input by the user, which is displayed on the display of the computer held by the user It also provides travel itinerary suggestions. The following takes the travel itinerary information processing system 100 as an example to illustrate the travel itinerary information processing method of the present invention:

Fig. 1 is a structural block diagram of a travel itinerary information processing system in an embodiment of the present invention. As shown in FIG. 1, the travel itinerary information processing system 100 has a message acquisition module 1, a message storage module 2, a scenic spot screening module 3, an itinerary planning calculation module 4, an input display module 5, a communication module 6 and a control module. Module 7.

In this embodiment, the travel itinerary information processing system 100 is a computer held by a user, and each module is a computer program executed in the computer. In other embodiments, the travel itinerary information processing system 100 may also have a user-side communication module and a user-side control module. The information storage module 1, the information acquisition module 2, the scenic spot screening module 3, the itinerary planning calculation module The group 4, the communication module 6 and the control module 7 are executed on the platform server held by the travel service provider, and the input display module 5, the user-side communication module and the user-side control module are executed on the platform server held by the user. On the computer, the platform server communicates with the computer held by the user through a communication module.

In this embodiment, the communication module 6 is used to exchange data between the various components of the processing server and between the processing server and other terminals. The control module 7 contains a computer program for controlling the work of the information acquisition module 1, the information storage module 2, the scenic spot screening module 3, the itinerary planning calculation module 4, and the input display module 5.

In this embodiment, the user's travel information is input by the user through the input display module 5, including: user information, user's starting city, target location, way of going out, user preferences, travel days, and travel team information. Among them, the user information is the public information such as age and gender entered by the user; the starting city and target location are the user's departure place and destination; the user's way of going out is the mode of transportation between the starting city and the target location; the number of travel days is the user The maximum number of days to plan the tour; user preferences are pre-set tags and selected by the user, which are specifically divided into scenery, culture, romance, family, and adventure; the tour team information is the user’s team information for the tour (for example, The travel group information can be a one-person outing, a two-person outing, a multi-person outing, or a family outing). At the same time, the travel group information also includes information about whether the travel group has special groups such as the elderly and children.

The information acquisition module 1 is used to acquire information. After the information acquisition module 1 obtains the user travel data entered by the input and display unit 5 for the user, the information acquisition module 1 acquires the information needed for the itinerary planning process according to the preset acquisition method. The acquisition method is as follows: S1 and step S2.

Fig. 2 is a flowchart of a method for processing travel itinerary information in an embodiment of the present invention. As shown in Figure 2, the travel itinerary information processing method of the present invention includes the following steps:

In step S1, the information acquisition module 1 acquires the arrival site where the user arrives at the target location by going out according to the outgoing mode, starting city, and target location input by the user.

In this embodiment, the way of going out includes inter-city transportation such as airplanes, high-speed rail, trains, ships, rented cars, buses, etc. The user can choose the way of going out to obtain a plan for traveling according to the way the user wants.

In step S1 of this embodiment, the information acquisition module 1 automatically acquires public traffic information of the city (such as crawling traffic information in outbound applications such as Ctrip, China Railway, etc.) and geographic location information (such as GPS And other map software to crawl), so as to filter the data in the traffic information and geographic location information to obtain the site where the user reaches the target location through the corresponding way of going out as the arrival site.

Step S2: The information obtaining module 1 obtains each scenic spot corresponding to the target location as the target scenic spot according to the target location, and obtains scenic spot information of each target scenic spot. The scenic spot information includes the scenic spot location information of the target scenic spot, the expected play time of the scenic spot, and the scenic spot evaluation Numerical value.

In step S2 of this embodiment, the destination range of each target location (that is, the geographic range information of the target location) and the scenic spot information of each scenic spot are respectively the public area data obtained by the information acquisition module 1 through crawler technology ( For example, it can be crawled through GPS and other map software) and scenic spot data (such as scenic spot data obtained from the Internet through keywords such as scenic spot name), and further filter the scenic spot location information according to the destination range of the target location, so as to obtain the target location Target attractions.

In this embodiment, the target location is a city. In other embodiments, the target location can also be a province, an entire region, or a country, and the destination range is a regional range corresponding to the province, region, or country.

In this embodiment, the expected play time of the scenic spot is divided into three levels, and the play time of each level is 7 hours of play, 4 hours of play, and 2 hours of play. In other embodiments, the play time can also be set according to the scale of the scenic spot (for example, according to the area of the scenic spot, the larger the play time, the longer the play time), and the various levels of play time can also be set to play for 5-8 hours, Any value within 3~5 hours of play and 1~3 hours of play.

In this embodiment, the scenic spot evaluation value is a preset integer value corresponding to the user's preference and a value range of 1 to 5, including scenic value, cultural value, romantic value, family value, and adventure value.

The message storage module 2 is used to store the messages acquired by the message acquisition module 1. In this embodiment, the user travel data, traffic information, geographic location information, arrival site, destination range, and scenic spot information acquired by the information acquisition module 1 through the methods of step S1 and step S2 are all stored in the information storage module 2. .

The scenic spot screening module 3 is used to screen the user's preferred scenic spots as planned tourist spots, and its execution process is as step S3.

Step S3: The scenic spot screening module 3 selects scenic spots from each target scenic spot according to the number of travel days entered by the user, user preferences, and scenic spot information stored in the information storage module 2 and uses them as planned tourist spots, as shown in Figure 3, see the specific steps Step S3-1 to Step S3-3.

In step S3-1, the scenic spot selection module 3 selects the corresponding scenic spot evaluation value according to the preferences of each user, and multiplies the scenic spot evaluation value of each target scenic spot according to the preset weight ratio to obtain a comprehensive evaluation value, and further compares each target scenic spot according to the comprehensive evaluation value. Sort the evaluation value from high to low to get the sequence of preferred scenic spots.

In this embodiment, the weight ratio is preset. For example, when the user preference is 1, the weight ratio is 1, and when the user preference is 2, the weight ratio is 0.6:0.4. When the user preference is 3, the weight ratio is 0.6:0.4. The ratio is 0.4:0.4:0.2, and so on. At the same time, since the weight ratio is not set evenly, in order to balance the scheme, the weight ratio used in this embodiment is multiple, and the corresponding specific setting method is described in detail later.

In step S3-1 of this embodiment, the scenic spot screening module 3 calculates the comprehensive evaluation value according to the weight ratio, and multiplies the scenic spot evaluation value of each target scenic spot according to the preset weight ratio to obtain the comprehensive evaluation value, and further compares each target scenic spot Sorting from high to low according to the comprehensive evaluation value obtains the sequence of preferred scenic spots.

In step S3-2, the scenic spot screening module 3 calculates the available play time according to the number of travel days and the preset daily play time.

In this embodiment, the daily play time is set according to the user information and the travel team information. Specifically: the scenic spot screening module 3 determines the age in the user information and the age in the travel team information, if there are elderly people ( For groups such as age greater than 60) or children (ie, age less than 15), the daily play time is set to 8 hours of play per day; if it does not exist, the daily play time is set to 9 hours.

In step S3-2 of this embodiment, the available play time is obtained by multiplying the number of travel days input by the user by the daily play time.

In step S3-3, a target scenic spot is sequentially selected from the sequence of preferred scenic spots and the target scenic spot that can be accommodated within the available play time is calculated as the planned tourist spot according to the expected play time of the scenic spot of the target scenic spot.

In step S3-3 of this embodiment, the scenic spot screening module 3 initializes an overall play time (the initial value of the overall play time is zero), and then repeats the following operations: first, the estimated play time of the scenic spot of the target scenic spot is selected The time is accumulated to the overall play time, and secondly, it is determined whether the overall play time is greater than the available play time, if it is not greater, the target scenic spot is set as a planned tourist attraction, if it is greater than, step S3-3 is ended and step S4 is entered.

In this embodiment, after step S3 is completed, the planned tourist attractions selected by the scenic spot screening module 3 will also be temporarily stored in the message storage module 2.

The itinerary planning calculation module 4 is used to calculate the itinerary planning result including the planned tourist attractions sorted in the recommended travel order. The execution process of the itinerary planning calculation module 4 is as step S4.

In step S4, the itinerary planning calculation module 4 generates an itinerary planning result including the planned tourist attractions in the order of recommended travel based on the scenic spot information, planned tourist spots, and arrival stops stored in the information storage module 2.

Fig. 4 is a flowchart of the steps of calculating the itinerary planning result in the embodiment of the present invention. As shown in FIG. 4, the specific execution process of the itinerary planning calculation module 4 (ie, step S4) includes steps S4-1 to S4-10.

In step S4-1, the travel schedule of the corresponding number of days is set according to the number of travel days.

In this embodiment, the travel schedule is a schedule in which the daily planned sightseeing spots are sorted according to the recommended play order. In step S4-1, the travel schedule obtained by the itinerary planning calculation module 4 is set as a blank schedule with no planned tourist attractions added.

In step S4-2, the travel itinerary corresponding to the first day is acquired as the travel itinerary for that day.

Step S4-3: Calculate the distance to the arrival site based on the location information of all planned tourist attractions and the location information of the arrival site, and obtain the planned tourist attraction with the smallest distance value as the current attraction.

In step S4-4, the accumulated time of the day is initialized, and the estimated travel time of the current scenic spot is accumulated to the accumulated time of the day, and the current scenic spot is further added to the current travel schedule. In this embodiment, the initial value of the accumulated time of the day is zero.

In step S4-5, the planned tourist attraction closest to the current attraction is selected from the planned tourist attraction that has not been set as the current attraction as the current attraction.

In steps S4-3 and S4-5 of this embodiment, the distance determination is calculated through public location information (such as GPS data).

Step S4-6, accumulate the expected play time of the current scenic spot to the accumulated time of the day.

Step S4-7, judge whether the accumulated time of the day exceeds the preset daily play time, if not, add the current scenic spot to the current travel schedule and repeat steps S4-5 to S4-6, if yes, proceed to step S4-8.

In this embodiment, through steps S4-3 to S4-7, the planned tourist attractions are sequentially added to the current travel schedule in order, thereby forming a travel schedule with a route to nearby attractions.

In step S4-8, the current travel schedule is stored according to the number of days corresponding to the current travel schedule.

In step S4-8 of this embodiment, the itinerary planning calculation module 4 stores the travel itinerary in order according to the corresponding number of days. For example, the travel itinerary of the first day, the travel itinerary of the second day, and the third The day’s travel schedule and so on are stored sequentially.

In step S4-9, it is judged whether the current travel schedule is the last day of the travel schedule, if otherwise, the next day's travel schedule is taken as the current travel schedule and steps S4-4 to S4-8 are repeated, and if so, step S4-10 is entered.

In step S4-10, the stored travel itinerary is sequentially merged according to the number of days to form the itinerary planning result.

In this embodiment, after step S4 is completed, the itinerary planning calculation module 4 also selects a site that is closest to and corresponding to the way out as the return site according to the last planned tourist attraction in the itinerary planning result. At this time, the results of the itinerary plan, the arrival station and the return station form a complete outing plan.

In this embodiment, the travel itinerary information processing system 100 based on the above-mentioned travel itinerary information processing method can also generate multiple outing plans by executing the travel itinerary information processing method multiple times when the user selects multiple user preferences.

Specifically, by setting different weight ratios in step S3, corresponding different comprehensive evaluation values are obtained, and a plurality of out-going plans with different biases are further generated according to each comprehensive evaluation value. For example, when the user preference is 2, the weight ratios are 0.6:0.4 and 0.4:0.6; when the user preference is 3, the weight ratios are 0.4:0.4:0.2, 0.4:0.2:0.4, and 0.2:0.4:0.4. At the same time, since among the user preferences, the preferences corresponding to the romance value, the family value, and the adventure value are generally not generated at the same time, so there will not be more than 4 user preferences.

Take the user preference for scenery and culture as an example: First, the information acquisition module 1 performs step S1 and step S2 according to the input user travel data, and then the scenic spot screening module 3 determines the number of user preferences to obtain the corresponding weight ratio , Further obtain the scenery value and cultural value of each target scenic spot, and add the 0.6 times scenery value and 0.4 times the cultural value to obtain the first comprehensive evaluation value, and similarly obtain the second comprehensive evaluation value corresponding to the ratio of 0.4:0.6. Finally, through step S3 and step S4, the first comprehensive evaluation value and the second comprehensive evaluation value are respectively processed to obtain two outing plans. The travel itinerary information processing system 100 displays the two outing plans to the user through the input display module 5 after obtaining the outing plan to complete the travel itinerary suggestion.

In this embodiment, the input display module 5 includes a computer display and an input keyboard.

In addition, when the user preference is one, the travel itinerary information processing system 100 can also determine the user’s possible preference based on the user’s travel data (for example, when the user only selects the scenery preference, and the user’s age is in the middle or old age, then It is judged that the user may also like some culturally-preferred scenic spots), so that the preference and the original user preference are combined into a new user preference, and further calculations are performed to generate multiple outing plans. Effect of the embodiment of the present invention

According to the travel itinerary information processing method provided in this embodiment, the scenic spots in the location are determined as the target scenic spots according to the target location selected by the user, and the target scenic spots are selected according to the user preferences, thereby maximizing the screening during the user's travel time Develop the planned tourist attractions that meet the user preferences, and further plan the itinerary of the planned tourist attractions, so as to obtain the itinerary planning results that include not only the attractions that meet the user preferences, but also the optimized tourist routes of the scenic spots, and realize the limited number of travel days To maximize the arrangement of travel plans for users. The travel itinerary information processing method of the present invention can provide travel planning results that meet the user's preferences based on the travel data input by the user, so that the user does not need to make a lot of preparations in advance, and only needs to input preferences and travel-related information to get travel planning suggestions.

In this embodiment, by setting the travel schedule, and sequentially selecting the nearby tourist attractions to be added to the travel schedule, an itinerary planning result containing the travel schedule corresponding to each day is formed, which realizes the arrangement of the user’s daily itinerary, thereby allowing the user It is possible to travel directly according to the results of the itinerary planning, without the need to arrange the number of scenic spots and routes to travel every day.

In this embodiment, since the scenic spot evaluation value is set to the scenic value, cultural value, family value, romantic value, and adventure value, the user’s preferences are evaluated through social psychology, and the scenic spots corresponding to each preference can be screened out. It can better make the recommended attractions meet the needs of users.

In this embodiment, the daily play time can also be dynamically set according to the age of the user, whether there are groups such as the elderly and children in the travel team, so that the itinerary planning result can take more care of the energy shortage of the corresponding group. If there are no elderly or children in the team, it can be considered that the user has more energy to play for a longer time, so the play time is set to be longer to allow the user to enjoy the game.

In this embodiment, different weight ratios can also be assigned according to the multiple preferences of the user, thereby formulating multiple outing plans through the travel itinerary information processing method of the present invention, and further allowing the user to select travels that meet their inner expectations from the multiple plans. Routes to improve the effectiveness of the recommendations.

In this embodiment, when the user selects only one preference, the user’s travel data can be analyzed to generate recommended preferences to provide suggestions for the user, and further generate multiple outing plans for the user to choose, so that the user may not know himself In the case of preference, provide users with travel routes that may meet user expectations and improve the effectiveness of the recommendations.

The above-mentioned embodiments are only used to illustrate specific implementations of the present invention, and the present invention is not limited to the description scope of the above-mentioned embodiments.

For example, in step S3-1 of this embodiment, when the user preference is one, the weight ratio is 1, and the corresponding scenic spot evaluation value is directly used as the comprehensive evaluation value (that is, the scenic spot evaluation value is multiplied by 1 to obtain the comprehensive evaluation value) . In other embodiments of the present invention, when there is only one user preference, the sequence of preferred scenic spots can be obtained directly by sorting the corresponding scenic spot evaluation values.

In addition, in the above embodiment, if there are groups such as the elderly or children in the travel team, the daily play time is set to 8 hours of play per day; if not, the daily play time is set to 9 hours. In other embodiments of the present invention, when there are groups such as the elderly or children, the daily play time can be set to any value within 7 to 8 hours; when there are no groups such as the elderly or children, the daily play time The time can be set to any value within 8 to 10 hours.

In addition, in the above embodiment, if there are groups such as the elderly or children in the travel team, the daily play time is set to 8 hours of play per day; if not, the daily play time is set to 9 hours. In other embodiments of the present invention, the daily play time can also be a fixed value ranging from 7 to 10 hours. For example, 9 hours of play per day is a relatively reasonable time.

100: Travel Itinerary Information Processing System 1: Information acquisition module 2: Message storage module 3: Scenic spots screening module 4: Itinerary planning calculation module 5: Input display module 6: Communication module 7: Control module

Fig. 1 is a structural block diagram of a travel itinerary information processing system in an embodiment of the present invention. Fig. 2 is a flowchart of a method for processing travel itinerary information in an embodiment of the present invention. Fig. 3 is a flowchart of the steps of screening target scenic spots in an embodiment of the present invention. Fig. 4 is a flowchart of the steps of calculating the itinerary planning result in an embodiment of the present invention.

Claims (9)

A travel itinerary information processing method for automatically planning a travel itinerary that can meet the user's expectations based on user travel information input by the user that includes at least a starting city, a target location, a way of going out, a user preference, and a number of travel days. The method includes the following steps: Step S1: Acquire an arrival site for the user to reach the target location through the outgoing method according to the outgoing mode, the starting city, and the target location; Step S2: Obtain each scenic spot corresponding to the target location as the target scenic spot according to the target location, and obtain scenic spot information of each target scenic spot. The scenic spot information includes the location information of a scenic spot of the target scenic spot, an expected play time of the scenic spot, and a scenic spot Evaluation value In step S3, according to the number of travel days, the user's preference, and the information of the scenic spot, the scenic spot that the user may prefer is selected as a planned tourist spot from each of the target scenic spots; Step S4: According to the information of the scenic spot, the planned tourist spot and the arrival site, a itinerary planning result including the planned tourist spot sorted in the order of recommended travel is generated and output. For example, the travel itinerary information processing method of claim 1, wherein the step S4 includes the following sub-steps: In step S4-1, a travel schedule of corresponding days is set according to the travel days; Step S4-2, acquiring the travel itinerary corresponding to the first day as the travel itinerary of the day; In step S4-3, the planned tourist attraction that is the closest to the arrival site selected is selected as a current attraction; Step S4-4, accumulate the expected play time of the current scenic spot to the accumulated time of the day; Step S4-5, selecting the planned tourist attraction that is closest to the current attraction from the planned tourist attraction that has not been set as the current attraction as a current attraction; Step S4-6, initialize the accumulated time of the day, and accumulate the expected play time of the current scenic spot to the accumulated time of the day, and further add the current scenic spot to the current travel schedule; Step S4-7, judge whether the accumulated time of the day exceeds a preset daily play time, if otherwise, add the current scenic spot to the current travel schedule and repeat steps S4-5 to S4-6, if yes, proceed to step S4- 8; Step S4-8, storing the current travel itinerary according to the number of days corresponding to the current travel itinerary; Step S4-9, judge whether the current travel itinerary is the last day of the travel itinerary, if otherwise, take the travel itinerary of the next day as the current travel itinerary and repeat steps S4-4 to S4-8, if yes, proceed to step S4- 10; In step S4-10, the stored travel itinerary is sequentially merged according to the number of days to form the itinerary planning result. For example, the travel itinerary information processing method of claim 1, wherein the evaluation value of the scenic spot is a preset integer value corresponding to the user's preference and a value range of 1 to 5, including a scene value, a cultural value, and a Romance value, one family value, and one adventure value. For example, in the travel itinerary information processing method of claim 3, where the user preference is one, the step S3 further includes the following sub-steps: Step S3-1a, selecting the corresponding scenic spot evaluation value according to the user's preference, and sorting each target scenic spot according to the scenic spot evaluation value from high to low to obtain a preferred scenic spot sequence; Step S3-2a: Calculate the available play time according to the number of travel days and a preset daily play time; In step S3-3a, the target scenic spot is sequentially selected from the sequence of the preferred scenic spots, and the target scenic spot that can be accommodated in the playable time is calculated as a planned tourist spot according to the expected play time of a scenic spot of the target scenic spot. For example, in the travel itinerary information processing method of claim 3, where there are multiple user preferences, the step S3 further includes the following sub-steps: Step S3-1b: Select the corresponding scenic spot evaluation value according to each user preference, and multiply the scenic spot evaluation value of each target scenic spot according to a preset weight ratio to obtain a comprehensive evaluation value. The scenic spots are sorted from high to low according to the comprehensive evaluation value to obtain the preferred scenic spot sequence; Step S3-2b: Calculate the available play time according to the number of travel days and a preset daily play time; In step S3-3b, the target scenic spot is sequentially selected from the sequence of the preferred scenic spots, and the target scenic spot that can be accommodated in the playable time is calculated as a planned tourist spot according to the expected play time of the scenic spot of the target scenic spot. The travel itinerary information processing method in any one of 4 or 5, wherein the daily play time is 7-10 hours. The travel itinerary information processing method of any one of 4 or 5, wherein the user’s travel data further includes a user’s age and a travel group information, The travel group information is the judgment information about whether there are elderly or children in the travel group. The daily play time is set according to the travel team information and the user’s age. When the travel team information and the user’s age indicate that the travel team has elderly or children, the daily play time is set to a first duration. When the travel group information and the user’s age indicate that there are no elderly or children in the travel group, the daily play time is set to a second duration, The value of the first duration is 7 to 8 hours, and the value of the second duration is 8 to 10 hours. An application system for the travel itinerary information processing method in request item 5 in the process of user travel suggestion. When there are multiple user preferences in the user’s travel data, the evaluation values of the scenic spots corresponding to the user’s preference are compared according to different weight ratios. Multiply to obtain different comprehensive evaluation values, and generate multiple itinerary planning results through the travel itinerary information processing method, and finally feedback multiple the itinerary planning results to the user to provide the user with an itinerary suggestion. An application system for the travel itinerary information processing method of request item 5 in the process of suggesting a user’s itinerary. When the user preference in the user’s travel data is one, the user’s possible preference is judged based on the user’s travel data, and the preference is compared with the user’s travel data. User preferences constitute a new inferred preference, and further multiply the evaluation values of the scenic spots corresponding to the inferred preference according to different weight ratios to obtain different comprehensive evaluation values, and generate multiple itinerary planning results to feed back to the user through the travel itinerary information processing method So as to provide users with an itinerary suggestion.

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