Recommended methods, systems, devices, media and program products for ticket changes

Abstract

The present disclosure provides a method, system, device, medium and program product for recommending air ticket changes. The recommendation method includes: in response to the change instruction of the original air ticket, obtaining a candidate travel plan that matches the original air ticket; obtaining the user's historical travel data, and determining the user's preferred travel preference characteristics based on the historical travel data; wherein the historical travel data includes at least one travel preference characteristic of the user's travel duration, total travel price and travel habits; obtaining a target travel plan that meets the preferred travel preference characteristics from the candidate plans, and recommending and displaying the target travel plan to the user. By analyzing the user's historical travel data, accurately providing the user with a target travel plan that meets the user's expectations, improving the user's change efficiency, and meeting the user's personalized needs, it is possible to reduce user churn and improve user retention.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air ticket booking, and in particular to a method, system, device, medium and program product for recommending air ticket changes. Background Art

[0002] In the field of air travel, after planning and booking a flight ticket, passengers may encounter changes in their itinerary, such as delays or early termination of the trip. Such changes may cause passengers to be unable to catch their scheduled flights on time, or have to wait for a long time before the flight takes off. In order to adapt to changes in the itinerary, passengers often need to change their tickets to increase the flexibility of their itinerary.

[0003] However, in practice, when passengers choose to change flights, they need to invest a lot of time and energy to search for a variety of information, and often have to give up their trips because they cannot find a suitable flight. The process of obtaining and comparing this information is not only time-consuming, but also complicated, which brings inconvenience to passengers. Summary of the invention

[0004] The technical problem to be solved by the present disclosure is to overcome the defect in the prior art that there is a lack of reasonable itinerary plan recommendations after the user changes the ticket, and to provide a method, system, device, medium and program product for recommending ticket changes.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] In a first aspect, a method for recommending air ticket changes is provided, the method comprising:

[0007] In response to the rebooking instruction of the original ticket, obtaining a candidate travel plan matching the original ticket;

[0008] Acquire historical travel data of a user, and determine preferred travel preference characteristics of the user based on the historical travel data;

[0009] The historical travel data includes at least one travel preference feature of the user's travel duration, total travel price, and travel habits;

[0010] A target travel solution that meets the preferred travel preference characteristics is obtained from the candidate solutions, and the target travel solution is recommended and displayed to the user.

[0011] Preferably, the step of obtaining a candidate travel plan matching the original air ticket includes:

[0012] Obtaining route information of the original ticket;

[0013] The route information includes the starting point information, the destination information and the transfer information;

[0014] Based on the first route corresponding to the starting point information and the transfer information, a first travel plan is obtained; based on the second route corresponding to the destination information and the transfer information, a second travel plan is obtained; based on the third route corresponding to the starting point information and the destination information, a third travel plan is obtained;

[0015] At least one of the first travel plan, the second travel plan, and the third travel plan is a travel mode of airplane;

[0016] Combining the first travel plan and the second travel plan to obtain a candidate combined travel plan;

[0017] The candidate travel plan is obtained based on the candidate combined travel plan and the third travel plan.

[0018] Preferably, the step of obtaining a target travel plan satisfying the preferred travel preference characteristics from the candidate travel plans comprises:

[0019] In response to one of the candidate combined travel solutions being an airplane travel solution, obtaining a first target candidate solution from the corresponding airplane travel solution based on the preferred travel preference feature;

[0020] Select the travel plan with the lowest price from another travel plan as the second target candidate plan;

[0021] Obtaining the candidate combined travel plan based on the first target candidate plan and the second target candidate plan;

[0022] The target travel plan is obtained based on the candidate combined travel plan and the third travel plan.

[0023] Preferably, the preferred travel preference feature is travel habits, and the step of obtaining a first target candidate solution from corresponding travel solutions based on the preferred travel preference feature comprises:

[0024] In response to the airplane travel plan being unable to satisfy the travel habit, a travel plan with the shortest travel time is selected from the airplane travel plans as the first target candidate travel plan.

[0025] Preferably, the step of obtaining the target travel plan based on the candidate combined travel plan and the third travel plan further includes:

[0026] Selecting the plan with the shortest travel time from the third travel plans as the direct travel plan;

[0027] The candidate combined travel plan and the direct travel plan are used as the target travel plan.

[0028] Preferably, the recommendation method further comprises:

[0029] In response to the target travel plan being selected, ordering a target order based on the target travel plan, and canceling an original order corresponding to the original ticket;

[0030] The target order uses the order number of the original order.

[0031] In a second aspect, a recommendation system for air ticket changes is provided, the recommendation system comprising a candidate solution acquisition module, a preferred preference determination module and a target solution recommendation module;

[0032] The candidate plan acquisition module is used to respond to the change instruction of the original ticket and obtain the candidate travel plan matching the original ticket;

[0033] The preferred preference determination module is used to obtain the user's historical travel data and determine the user's preferred travel preference characteristics based on the historical travel data; wherein the historical travel data includes at least one travel preference characteristic of the user's travel duration, total travel price and travel habits;

[0034] The target travel plan recommendation module is used to obtain a target travel plan that meets the preferred travel preference characteristics from the candidate travel plans, and recommend and display the target travel plan to the user.

[0035] In a third aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, wherein when the processor executes the computer program, the recommended method for changing a flight ticket as described in the first aspect is implemented.

[0036] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method for recommending air ticket changes as described in the first aspect is implemented.

[0037] In a fifth aspect, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method for recommending air ticket changes as described in the first aspect is implemented.

[0038] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0039] The positive progressive effect of the present disclosure is that by analyzing the user's historical travel data, the user is accurately provided with a target travel plan that meets the user's expectations, the user's ticket change efficiency is improved, and the user's personalized needs are met, which can reduce user churn and improve user retention rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flowchart of a recommended method for changing a flight ticket provided by an exemplary embodiment of the present disclosure;

[0041] Figure 2 A flowchart of step S101 in a recommended method for changing a flight ticket provided by an exemplary embodiment of the present disclosure;

[0042] Figure 3 A flowchart of step S103 in a recommended method for changing a flight ticket provided by an exemplary embodiment of the present disclosure;

[0043] Figure 4 A schematic diagram of modules of a system for recommending air ticket changes provided by an exemplary embodiment of the present disclosure;

[0044] Figure 5 A schematic diagram of the hardware structure of an electronic device provided by an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0045] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0046] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0047] Example 1

[0048] This embodiment provides a recommended method for changing a flight ticket, such as Figure 1 As shown, the recommended method includes:

[0049] S101, in response to a rebooking instruction of an original ticket, obtaining a candidate travel plan matching the original ticket;

[0050] S102, obtaining historical travel data of a user, and determining a preferred travel preference feature of the user based on the historical travel data;

[0051] The historical travel data includes at least one travel preference feature of the user's travel duration, total travel price, and travel habits;

[0052] S103: Obtain a target travel plan that meets the preferred travel preference characteristics from the candidate travel plans, and recommend and display the target travel plan to the user.

[0053] In step S101, by responding to the user's change of ticket instruction, the candidate travel plans that match the travel time, departure airport, arrival airport and airline of the original ticket are obtained in a timely manner to reduce the time for the user to manually search for alternative travel plans;

[0054] In step S102, the user's preferences are understood by analyzing the user's historical data, and travel options that match the user's preferences are provided to the user to provide candidate travel plans that meet the user's expectations, thereby improving user satisfaction and loyalty.

[0055] Among them, travel duration represents the user's sensitivity to the length of travel time, especially for users who are short on time or have strict schedules, who are more sensitive to travel duration; for example, in historical data, users' preference for short trips or quick arrival at destinations shows that users value efficiency and are more inclined to choose direct flights or the shortest transfer time; conversely, if users are less sensitive to travel duration, they have a higher tolerance for travel duration, indicating a higher requirement for itinerary flexibility and are willing to spend more time on the road in exchange for other benefits, such as lower prices or more comfortable flight options.

[0056] The total travel price represents the user's sensitivity to travel costs, including airfare, taxes, and additional service fees, and indirectly reflects the user's economic status or consumption capacity.

[0057] Travel habits represent users' sensitivity to travel comfort. Travel habits include but are not limited to travel time period, departure airport, frequently selected airlines, usual cabin class, window seat, aisle seat and meals. They represent users' emphasis on consistency and reliability. Users may be more inclined to choose familiar options to reduce uncertainty.

[0058] In step S103, by analyzing the preferred travel preference characteristics of the user, a target travel plan that meets the user's expectations is accurately provided from the candidate travel plans, thereby improving the user's ticket change efficiency, meeting the user's personalized needs, reducing user churn, and improving user retention rate.

[0059] The target travel plan may include a combination travel plan and a direct travel plan. Based on the type of the original ticket, the corresponding combination travel plan or direct travel plan is recommended. If the original ticket is a transfer arrival type, the combination travel plan is recommended.

[0060] In one embodiment, when the display time of one of the recommended combined travel solutions or the direct travel solutions is longer than a preset recommended time, the other one of the recommended combined travel solutions or the direct travel solutions is recommended for display.

[0061] In this solution, by analyzing the user's historical travel data, we can accurately provide users with target travel plans that meet their expectations, improve the efficiency of user ticket changes, and meet their personalized needs, which can reduce user churn and improve user retention rate.

[0062] As a feasible approach, Figure 2 As shown, the step of obtaining a candidate travel plan matching the original air ticket in step S101 includes:

[0063] S1011, obtaining the route information of the original ticket;

[0064] The route information includes the starting point information, the destination information and the transfer information;

[0065] S1012, acquiring a first travel plan based on a first route corresponding to the origin information and the transfer information, acquiring a second travel plan based on a second route corresponding to the destination information and the transfer information, and acquiring a third travel plan based on a third route corresponding to the origin information and the destination information;

[0066] At least one of the first travel plan, the second travel plan, and the third travel plan is a travel mode of airplane;

[0067] S1013: Combining the first travel plan and the second travel plan to obtain a candidate combined travel plan;

[0068] S1014: Obtain the candidate travel plan based on the candidate combined travel plan and the third travel plan.

[0069] In this solution, for long-distance trips with transfers, there are fewer alternative options in the same time period. By comprehensively considering all travel combinations from the starting point to the transfer point, and from the transfer point to the destination, the comprehensiveness of the change plan is ensured, while taking into account travel efficiency, ensuring that the final recommended target travel plan includes an air travel plan. Candidate combination travel plans include travel modes of airplane and train, airplane and ship, airplane and car, or train and car. By integrating the resources of different travel modes, when air tickets are not available or there are no suitable flights, users can be provided with diversified and personalized travel plans to meet their travel needs.

[0070] As a feasible approach, Figure 3As shown, the step of obtaining a target travel plan satisfying the preferred travel preference characteristics from the candidate travel plans in step S103 includes:

[0071] S1031, in response to one of the candidate combined travel plans being an airplane travel plan, obtaining a first target candidate plan from the corresponding airplane travel plan based on the preferred travel preference feature;

[0072] S1032, selecting the travel plan with the lowest price from another travel plan as the second target candidate plan;

[0073] S1033, obtaining the candidate combined travel plan based on the first target candidate plan and the second target candidate plan;

[0074] S1034: Obtain the target travel plan based on the candidate combined travel plan and the third travel plan.

[0075] In this solution, for the selection of air travel options, the user's preference for the original ticket is maintained, and for other modes of travel options, the lowest-priced travel option is selected to reduce the user's rebooking costs. For example, if the itinerary changes due to climate change or emergencies, the user's preferences and price factors can be combined to balance the flexibility and economy of travel, providing users with a variety of choices.

[0076] As an achievable manner, the preferred travel preference feature is a travel habit, and the step of obtaining a first target candidate solution from a corresponding travel solution based on the preferred travel preference feature includes:

[0077] In response to the airplane travel plan being unable to satisfy the travel habit, a travel plan with the shortest travel time is selected from the airplane travel plans as the first target candidate travel plan.

[0078] In this scheme, the user's first choice travel preference characteristics are based on travel habits. If the user's second choice travel preference characteristics cannot be obtained from historical travel data, then based on the low sensitivity of such users to travel prices, the travel plan with the shortest travel time is used as the corresponding candidate plan to meet the user's travel needs.

[0079] In one embodiment, a secondary travel preference feature is obtained from historical travel data, and in response to the airplane travel plan failing to meet the travel habits, a corresponding travel plan is selected from the airplane travel plans based on the secondary travel preference feature as the first target candidate travel plan.

[0080] In one embodiment, in response to the fact that the airplane travel plan cannot meet the travel habits, information representing the user's travel habits, such as travel time, departure airport, airline and cabin class information in the original ticket is obtained, and the travel plan with the most information covering the user's travel habits is selected from the airplane travel plans as the first target candidate travel plan.

[0081] As an achievable manner, the step of obtaining the target travel plan based on the candidate combined travel plan and the third travel plan further includes:

[0082] Selecting the plan with the shortest travel time from the third travel plans as the direct travel plan;

[0083] The candidate combined travel plan and the direct travel plan are used as the target travel plan.

[0084] In this solution, based on the fact that users who choose combined travel plans are less sensitive to travel time, and users who choose direct travel plans are more sensitive to travel time, low-cost combined travel plans and direct travel plans with short travel time are provided respectively, balancing the flexibility and economy of travel and providing users with diverse choices.

[0085] As an achievable manner, the recommendation method further includes:

[0086] In response to the target travel plan being selected, ordering a target order based on the target travel plan, and canceling an original order corresponding to the original ticket;

[0087] The target order uses the order number of the original order.

[0088] In this solution, the travel needs of business travelers rely on the approval process. Usually, the information in the approval process is associated with the order corresponding to the original booked ticket. The new order formed after the change uses the original order number, which can save the user the procedure of repeated declaration and approval, and improve the user's ticket booking convenience.

[0089] The air ticket change recommendation method provided in this embodiment analyzes the user's historical travel data to accurately provide the user with a target travel plan that meets the user's expectations, thereby improving the user's change efficiency, meeting the user's personalized needs, reducing user churn, and improving user retention rate.

[0090] Example 2

[0091] This embodiment provides a recommendation system 100 for changing a flight ticket. Figure 2 As shown, the recommendation system 100 includes a candidate solution acquisition module 101, a preferred preference determination module 102 and a target solution recommendation module 103;

[0092] The candidate plan acquisition module 101 is used to respond to the change instruction of the original ticket and obtain the candidate travel plan matching the original ticket;

[0093] The preferred preference determination module 102 is used to obtain the user's historical travel data and determine the user's preferred travel preference characteristics based on the historical travel data; wherein the historical travel data includes at least one travel preference characteristic of the user's travel duration, total travel price and travel habits;

[0094] The target travel plan recommendation module 103 is used to obtain a target travel plan that meets the preferred travel preference characteristics from the candidate travel plans, and recommend and display the target travel plan to the user.

[0095] As an implementable manner, the candidate solution acquisition module 101 includes a route acquisition unit, a solution determination unit, a solution combination unit and a solution output unit;

[0096] A route acquisition unit, used to acquire the route information of the original ticket;

[0097] The route information includes the starting point information, the destination information and the transfer information;

[0098] a plan determination unit, configured to obtain a first travel plan based on a first route corresponding to the origin information and the transfer information, obtain a second travel plan based on a second route corresponding to the destination information and the transfer information, and obtain a third travel plan based on a third route corresponding to the origin information and the destination information;

[0099] At least one of the first travel plan, the second travel plan, and the third travel plan is a travel mode of airplane;

[0100] A plan combining unit, configured to combine the first travel plan and the second travel plan to obtain a candidate combined travel plan;

[0101] A plan output unit is used to obtain the candidate travel plan based on the candidate combined travel plan and the third travel plan.

[0102] As an implementable manner, the target solution recommendation module 103 is further configured to, in response to one of the candidate combined travel solutions being an airplane travel solution, obtain a first target candidate solution from the corresponding airplane travel solution based on the preferred travel preference feature;

[0103] The target solution recommendation module 103 is also used to select the travel solution with the lowest price from another travel solution as the second target candidate solution;

[0104] The target solution recommendation module 103 is further configured to obtain the candidate combined travel solution based on the first target candidate solution and the second target candidate solution;

[0105] The target plan recommendation module 103 is further configured to obtain the target travel plan based on the candidate combined travel plan and the third travel plan.

[0106] As an achievable manner, the preferred travel preference feature is travel habits, and the target plan recommendation module 103 is further used to select a travel plan with the shortest travel time from the airplane travel plans as the first target candidate travel plan in response to the airplane travel plan failing to meet the travel habits.

[0107] As an achievable method, the target plan recommendation module 103 is further configured to select a plan with the shortest travel time from the third travel plans as a direct travel plan;

[0108] The target solution recommendation module 103 is further configured to use the candidate combined travel solution and the direct travel solution as the target travel solution.

[0109] As an implementable manner, the recommendation system further includes an order generation module;

[0110] An order generation module is used to order a target order based on the target travel plan in response to the target travel plan being selected, and to cancel the original order corresponding to the original air ticket; wherein the target order uses the order number of the original order.

[0111] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, wherein the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution.

[0112] The air ticket change recommendation system provided in this embodiment analyzes the user's historical travel data to accurately provide the user with a target travel plan that meets the user's expectations, thereby improving the user's change efficiency, meeting the user's personalized needs, reducing user churn, and improving user retention rate.

[0113] Example 3

[0114] Figure 5This is a structural diagram of an electronic device shown in an exemplary embodiment of the present disclosure, wherein the electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor, and when the processor executes the computer program, the recommended method for changing a flight ticket described in any of the above embodiments is implemented. Figure 5 The electronic device 90 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0115] like Figure 5 As shown, the electronic device 90 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).

[0116] The bus 93 includes a data bus, an address bus, and a control bus.

[0117] The memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and / or a cache memory 922 , and may further include a read only memory (ROM) 923 .

[0118] The memory 92 may also include a program tool 925 (or utility) having a set (at least one) of program modules 924, such program modules 924 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0119] The processor 91 executes various functional applications and data processing by running the computer program stored in the memory 92, such as the recommended method for changing a flight ticket provided in any of the above embodiments.

[0120] The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 95. Furthermore, the electronic device 90 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 96. As shown, the network adapter 96 communicates with other modules of the electronic device 90 via a bus 93. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0121] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0122] Example 4

[0123] The embodiments of the present disclosure also provide a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the method for recommending air ticket changes provided in any of the above embodiments is implemented.

[0124] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0125] Example 5

[0126] The embodiment of the present disclosure also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for recommending ticket changes.

[0127] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0128] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A method for recommending air ticket changes, characterized in that: The recommended methods include: In response to the rebooking instruction of the original ticket, obtaining a candidate travel plan matching the original ticket; Acquire historical travel data of a user, and determine preferred travel preference characteristics of the user based on the historical travel data; The historical travel data includes at least one travel preference feature of the user's travel duration, total travel price, and travel habits; A target travel solution that meets the preferred travel preference characteristics is obtained from the candidate solutions, and the target travel solution is recommended and displayed to the user.

2. The method for recommending air ticket changes according to claim 1, characterized in that: The step of obtaining a candidate travel plan matching the original ticket comprises: Obtaining route information of the original ticket; The route information includes the starting point information, the destination information and the transfer information; Based on the first route corresponding to the starting point information and the transfer information, a first travel plan is obtained; based on the second route corresponding to the destination information and the transfer information, a second travel plan is obtained; based on the third route corresponding to the starting point information and the destination information, a third travel plan is obtained; At least one of the first travel plan, the second travel plan, and the third travel plan is a travel mode of airplane; Combining the first travel plan and the second travel plan to obtain a candidate combined travel plan; The candidate travel plan is obtained based on the candidate combined travel plan and the third travel plan.

3. The method for recommending ticket changes according to claim 2, characterized in that: The step of obtaining a target travel solution satisfying the preferred travel preference characteristics from the candidate travel solutions comprises: In response to one of the candidate combined travel solutions being an airplane travel solution, obtaining a first target candidate solution from the corresponding airplane travel solution based on the preferred travel preference feature; Select the travel plan with the lowest price from another travel plan as the second target candidate plan; Obtaining the candidate combined travel plan based on the first target candidate plan and the second target candidate plan; The target travel plan is obtained based on the candidate combined travel plan and the third travel plan.

4. The method for recommending ticket changes according to claim 3, characterized in that: The preferred travel preference feature is travel habits, and the step of obtaining a first target candidate solution from corresponding travel solutions based on the preferred travel preference feature includes: In response to the airplane travel plan being unable to satisfy the travel habit, a travel plan with the shortest travel time is selected from the airplane travel plans as the first target candidate travel plan.

5. The method for recommending ticket changes according to claim 3, characterized in that: The step of obtaining the target travel plan based on the candidate combined travel plan and the third travel plan also includes: Selecting the plan with the shortest travel time from the third travel plans as the direct travel plan; The candidate combined travel plan and the direct travel plan are used as the target travel plan.

6. The method for recommending ticket changes according to any one of claims 1 to 5, characterized in that: The recommended method also includes: In response to the target travel plan being selected, ordering a target order based on the target travel plan, and canceling an original order corresponding to the original ticket; The target order uses the order number of the original order.

7. A recommendation system for air ticket changes, characterized in that: The recommendation system includes a candidate solution acquisition module, a preferred preference determination module and a target solution recommendation module; The candidate plan acquisition module is used to respond to the change instruction of the original ticket and obtain the candidate travel plan matching the original ticket; The preferred preference determination module is used to obtain the user's historical travel data and determine the user's preferred travel preference characteristics based on the historical travel data; wherein the historical travel data includes at least one travel preference characteristic of the user's travel duration, total travel price and travel habits; The target travel plan recommendation module is used to obtain a target travel plan that meets the preferred travel preference characteristics from the candidate travel plans, and recommend and display the target travel plan to the user.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the method for recommending ticket changes according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for recommending ticket changes according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for recommending air ticket changes according to any one of claims 1 to 6 is implemented.

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