CN114861084A

CN114861084A - Data processing method, device and storage medium

Info

Publication number: CN114861084A
Application number: CN202210320648.1A
Authority: CN
Inventors: 尹艺繁; 胡鹏; 王史远
Original assignee: Ctrip Travel Information Service Shanghai Co Ltd
Current assignee: Ctrip Travel Information Service Shanghai Co Ltd
Priority date: 2022-03-29
Filing date: 2022-03-29
Publication date: 2022-08-05

Abstract

The embodiment of the disclosure provides a data processing method, a data processing device and a storage medium, wherein the method is based on configuration parameters, a first freight rate set of each flight corresponding to each target route is inquired at a consumption user application end, and a second freight rate set of each flight corresponding to each target route is inquired at a business user application end; and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result. By collecting and comparing the freight rate differences between the consuming user application terminal and the business user application terminal, the reason can be determined according to the freight rate differences so as to be beneficial to aligning the freight rates at the two ends, thereby avoiding the problem that the user traffic inclines to the consuming user application terminal due to the freight rate differences in the related art.

Description

Data processing method, device and storage medium

Technical Field

The present disclosure relates to the field of information processing technologies, and in particular, to a data processing method and apparatus, and a storage medium.

Background

At present, corresponding Online Travel Agency (Online Travel Agency) service platforms are changed along with different user groups for Travel. For example, a consumer application (such as a travel APP client, referred to as "C-side") for individual consumer user groups and a business application (such as a business APP client, referred to as "B-side") for enterprise groups are provided.

However, the incomplete connection between end B and end C results in the price of the same flight for the same airline differing between end B and end C, resulting in a user's propensity to purchase products at lower price applications, resulting in a user's traffic being concentrated to one application and cold falling to another. For example, if the ticket for a flight purchased by the C-side has a customer member price, and the ticket for the flight on the B-side has only a discount price or an original price higher than the customer member price, the B-side user will be more inclined to purchase the ticket for the flight on the C-side, resulting in a decrease in the attention of the B-side.

Inventing messages

In view of the above disadvantages of the related art, it is an object of the present disclosure to provide a data processing method, apparatus, and storage medium to solve the problems in the related art.

A first aspect of the present disclosure provides a data processing method, including: based on the configuration parameters, inquiring a first freight rate set of each flight corresponding to each target route at a consumption user application end, and inquiring a second freight rate set of each flight corresponding to each target route at a business user application end; and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result.

In some embodiments, the data processing method further includes: and aligning a second freight rate set corresponding to at least one target route to the first freight rate set based on the freight rate comparison analysis result.

In some embodiments, the difference comprises at least one of: differences in freight categories; the difference of freight rates.

In some embodiments, the configuration parameters include: the identity of one or more users at the consuming user application end and the business user application end; and determining a time parameter and a number parameter of the target route.

In some embodiments, the time parameter comprises: the preset duration from the preset starting time point of the target route; the number of routes parameters include: n of the front n routes with the maximum order quantity of the target route; based on the configuration parameters, respectively inquiring at a consumer user application end and a business user application end to obtain each common target route, wherein the steps comprise: and inquiring to obtain each alternative route according to the time parameters, and screening to obtain each target route in each alternative route according to the quantity parameters of the routes.

In some embodiments, the preset starting time point is periodically set.

In some embodiments, the forming and displaying a freight rate comparison analysis result based on the difference of each of the first freight rate set and the second freight rate set on the same target route includes: differences are obtained for each of the first and second rates for flights screened over the modifiable at least one flight information dimension.

In some embodiments, the flight information dimension includes at least one of: a flight number; a departure date; a place of departure; to the ground; a cabin.

A second aspect of the present disclosure provides a data processing apparatus including: the query module is used for querying a first freight rate set of each flight corresponding to each target airline at a consumption user application end and querying a second freight rate set of each flight corresponding to each target airline at a business user application end based on the configuration parameters; and the analysis module is used for forming and displaying a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route.

A third aspect of the present disclosure provides a computer apparatus comprising: a communicator, a memory, and a processor; the communicator is used for communicating with the outside; the memory stores program instructions; the processor is configured to execute the program instructions to perform the data processing method according to any of the first aspect.

A fourth aspect of the present disclosure provides a computer-readable storage medium, characterized by program instructions stored thereon that are executed to perform the data processing method according to any one of the first aspects.

As described above, in the embodiments of the present disclosure, a data processing method, an apparatus, and a storage medium are provided, where the method queries, on a consuming user application side, a first freight rate set of flights corresponding to each target airline, and queries, on a business user application side, a second freight rate set of flights corresponding to each target airline, based on a configuration parameter; and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result. By collecting and comparing the freight rate differences between the consuming user application terminal and the business user application terminal, the reason can be determined according to the freight rate differences so as to be beneficial to aligning the freight rates at the two ends, thereby avoiding the problem that the user traffic inclines to the consuming user application terminal due to the freight rate differences in the related art.

Drawings

Fig. 1 shows a flow chart of a data processing method according to an embodiment of the disclosure.

Fig. 2A shows a header diagram of a statistical information table of a freight rate comparison result in an application example of the present disclosure.

Fig. 2B shows a header diagram of a comparison result analysis report of the freight rate comparison result in an application example of the present disclosure.

Fig. 3 shows a flow chart of a data processing method in an application example of the present disclosure.

Fig. 4 shows a block diagram of a data processing apparatus according to an embodiment of the disclosure.

Fig. 5 shows a schematic structural diagram of a computer device according to an embodiment of the disclosure.

Detailed Description

Embodiments of the present disclosure are described below with reference to specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure. The disclosure may be embodied or carried out in various other specific embodiments and with various modifications or alterations from various aspects and applications of the disclosure without departing from the spirit of the disclosure. It is to be noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings so that those skilled in the art to which the present disclosure pertains can easily carry out the embodiments. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein.

Reference in the representation of the present disclosure to the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. Furthermore, the particular features, structures, materials, or characteristics shown may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of different embodiments or examples presented in this disclosure can be combined and combined by one skilled in the art without contradiction.

Furthermore, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the expressions of the present disclosure, "plurality" means two or more unless specifically defined otherwise.

In order to clearly explain the present disclosure, components that are not related to the description are omitted, and the same reference numerals are given to the same or similar components throughout the specification.

Throughout the specification, when a device is referred to as being "connected" to another device, this includes not only the case of being "directly connected" but also the case of being "indirectly connected" with another element interposed therebetween. In addition, when a device "includes" a certain component, unless otherwise stated, the device does not exclude other components, but may include other components.

Although the terms first, second, etc. may be used herein to describe various elements in some instances, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, the first interface and the second interface are represented. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, modules, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, modules, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions, steps or operations performed are inherently mutually exclusive in some manner.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a", "an" and "the" include plural forms as long as the words do not expressly indicate a contrary meaning. The use of "including" in the specification is meant to specify the presence of stated features, regions, integers, steps, elements, and/or components, but does not preclude the presence or addition of other features, regions, integers, steps, elements, components, and/or groups thereof.

Terms representing relative spatial terms such as "lower", "upper", and the like may be used to more readily describe one element's relationship to another element as illustrated in the figures. Such terms are intended to have not only the meaning indicated in the drawings, but also other meanings or executions of the device in use. For example, if the device in the figures is turned over, elements described as "below" other elements would then be oriented "above" the other elements. Thus, the exemplary terms "under" and "beneath" all include above and below. The device may be rotated 90 or other angles and the terminology representing relative space is also to be interpreted accordingly.

Although not defined differently, including technical and scientific terms used herein, all have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. Terms defined in commonly used dictionaries are to be additionally interpreted as having meanings consistent with those of related art documents and currently prompted messages, and should not be excessively interpreted as having ideal or very formulaic meanings unless defined.

At present, the OTA platform has started to provide different application terminals for the user groups corresponding to different types of user groups, specifically, a consuming user application terminal for the personal consuming user to book the airline tickets and a business user application terminal for the enterprise user to book the airline tickets. The consumption user application can be presented as a travel APP, i.e. a C-side, and the business user application can be presented as a business travel APP, i.e. a B-side.

Since business and consumer user applications may have different rates of freight on the ticket products for each flight of the same airline, this may cause user traffic to be skewed towards a less expensive application with a better rate of freight. Illustratively, the multiple rates of travel that exist for each flight are related to compartments (e.g., economy and business), services (possibly with different discounts for different types and/or levels of membership), insurance (i.e., including different insurance), and the like. For these reasons, the same flight may have a difference in freight rate class, freight rate price at both applications, or there may also be a difference in freight rate between flights of different airlines of the same airline, with some inexpensive flights only at C and not at B.

Therefore, the scheme in the embodiment of the disclosure is to compare the freight rate data to obtain a freight rate comparison result related to the difference. Optionally, the reason for the difference can be analyzed and the difference can be eliminated according to the freight rate comparison result, for example, if a flight has no X product with a freight rate at the B end but has a freight rate at the C end, the X product with the a freight rate is introduced at the B end to eliminate the difference.

Therefore, a data processing method may be provided in the embodiments of the present disclosure.

Fig. 1 shows a schematic flow chart of a data processing method according to an embodiment of the present disclosure. The data processing method may be applied to a computer device, which may be implemented, for example, in a server, a desktop, etc. In a specific application example, the data processing method can be implemented in a data analysis center of a travel service platform.

In fig. 1, the data processing method includes:

step S101: based on the configuration parameters, a first freight rate set of each flight corresponding to each target route is inquired at a consumption user application end, and a second freight rate set of each flight corresponding to each target route is inquired at a business user application end.

In some embodiments, an airline refers to an airline route from an origin to a destination, which is the most intuitive presentation for a user, as typically the user would select "Beijing" to "Shanghai" as query parameters to query individual flights of the corresponding airline. The flights for each route may be distributed in flight number, time, and dimension. For example, each airline uniquely identifies its respective flight by a flight number, such as CZ8887, MU5112, etc.; the distribution of flights in the time dimension may be repetitive, for example flights on days today may be repetitive. As mentioned above, due to the influence of cabin, service, insurance, etc. of flights, flights will float on the basis of their original price, so as to generate different prices of the same flight, each flight has a plurality of prices to form a price subset, and the price subsets of each flight form a price set, i.e. the first price set and the second price set.

Illustratively, the identification refers to the user's ID at the consumer user application and the business user application, and may also be referred to as a "card number". In some examples, a user of a corresponding identity may be simulated by selecting a "card number," making the query and comparing the price. Therefore, it is necessary to select a first id of the consumer user application and a second id of the business user application to query the respective applications. Alternatively, the first identity and the second identity may belong to different users, but for comparison, their representations should be similar, e.g. the number of flights that can be queried is similar or the same. In order to obtain a large amount of information for comparison, when two identifiers are selected, the two identifiers capable of respectively querying the largest number of flights should be selected without being limited by whether the two identifiers belong to the same user.

Illustratively, the time parameter includes: the preset time length from the preset starting time point of the target route. The preset time period may be N days, for example, 14 days. Alternatively, the start-up time points may also be periodic, for example daily. That is, the query and comparison of the freight rate data 14 days after each day is performed.

Illustratively, the number of lanes parameter includes: and n of the top n routes with the largest order quantity as the target route. For example, the first 100 airlines with the largest order quantity, i.e., the first and second freight rate sets for each flight of the 100 airlines with the largest order quantity, may be determined from the airline quantity parameter.

In step S101, each target route may be obtained according to the time parameter and the route number parameter. For example, each alternative route is obtained through inquiring according to the time parameters, and each target route is obtained through screening in each alternative route according to the quantity parameters of the routes.

Additionally, in some embodiments, flight information for each queried flight is also collected as an information dimension for further classification and screening of flights. Illustratively, the flight information dimension may include at least one of: a flight number; a departure date; a place of departure; to the ground; a cabin, etc.

Step S102: and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result.

The comparison can be performed in a simple manner. Considering that the user may tend to select a lower rate, in some embodiments, step S102 may select the lowest rates of the same flight at the two applications to compare to find the difference.

As described in the previous example, the difference may include at least one of:

1) differences in the category of freight. That is, there are differences in the categories of rates of the same flight at different applications, such as one having a membership price and another not.

2) The difference of freight rates. Namely, the prices of the freight rates of the same flight at different application ends are different.

Therefore, the reason of the lack of the freight class and the application side with higher freight rate, such as "no member price", "no freight rate with xx service introduced", etc., can be determined according to the type of the difference.

In some embodiments, the difference between the first and second rates of flights screened over the modifiable at least one flight information dimension may also be obtained in step S102. The flight information dimensions are such as flight number, departure date, departure location, arrival location, cabin, etc. By modifying flight information dimension, such as modifying departure date from 3 months 27 to 3 months 28, modifying arrival place from Shanghai to Nanjing, and the like, different and diversified freight rate comparison results can be obtained. Furthermore, the situation of comparing the freight rates of all flights when different users select each air route at different time (which can be different landing and landing dates) can be realized by combining information dimensions such as each entry marked air route and user identity.

The freight rate comparison result can be presented through one or more reports, for example. For example, as shown in fig. 2A, a header diagram of a statistical information table showing a price comparison result in an application example of the present disclosure is shown. Fig. 2B shows a header diagram of a comparison result analysis report of the freight rate comparison result in an application example of the present disclosure. In some embodiments, the rates of the flights of the preset number of target routes at the two application ends may be aggregated to obtain a first rate set and a second rate set, and then the first rate set and the second rate set are compared.

In fig. 2A, a summary of statistics of information for a certain price comparison is shown. Exemplary data items of price comparison results, such as superiority and inferiority between the first and second freight rate sets of each flight of the plurality of airlines, ratios, such as flight number ratios, and/or freight rate number ratios of the first and second freight rate sets, number of items, such as how many airlines are compared, price difference and price difference ratios, such as overall price difference and price difference ratios, and the like, are displayed.

As shown in fig. 2B, the reason analysis of the inferior situation of a certain business travel product is shown, that is, the reason is analyzed when the freight category and/or the freight size on the business user application side in the statistical summary result of fig. 2A is deficient relative to the consumption user application side. Specifically, the header displays data items such as category, rate, number of bars, price difference ratio, etc., and the "category" may relate to a reason category caused by a lack of the consumer application end compared with factors such as a cabin, a service, an insurance, etc., and the following rate, number of bars, price difference ratio are statistical results of comparison of each freight price related to the reason category.

It should be noted that fig. 2A and fig. 2B are only exemplary to show possible display forms of the freight rate comparison result, and in other embodiments, the display forms may be changed according to the requirement, and are not limited thereto.

In some embodiments, the data processing method further includes: and aligning a second freight rate set corresponding to at least one target route to the first freight rate set based on the freight rate comparison analysis result. The alignment refers to eliminating price variances that can cause traffic skew. For example, if a flight at the B terminal is found to lack a low-priced member price ticket resource at the C terminal by comparing the differences, the member price ticket resource is introduced to align with the B terminal.

In a specific implementation example, the method in fig. 1 may be periodically executed according to a preset starting time to continuously obtain the freight rate comparison result, and may accordingly perform the above-mentioned alignment action.

For a visual explanation of the principle of the method, reference may be made to fig. 3, which shows a schematic flow chart of a data processing method in an application example of the present disclosure.

As shown, the interaction process between the user (which may be simulated), the data analysis platform performing the price comparison, and the B-side and C-side is shown.

By simulating the browsing operation behavior of the user on the air ticket prices (namely the freight rates) on the air ticket reservation pages of the C end and the B end, the advantages and disadvantages of flight ticket resources of the C end and the B end are compared and the missing price is compared, so that the reasons for the disadvantages of the price of the air ticket of the B end can be classified and counted, and the analysis and decision of the air ticket products are facilitated.

As shown, the process includes:

initial price comparison:

step S301: and setting configuration parameters corresponding to the user, and configuring the number of the price comparison card, the price comparison date (corresponding to the time parameter) and the number of the airlines (corresponding to the number parameter).

Step S302: and acquiring configuration parameters.

Step S303: and the data analysis platform starts price comparison according to preset starting time.

Step S304: and respectively requesting the terminal B and the terminal C to obtain the ticket prices of the corresponding flights according to the target routes (such as Beijing-Shanghai) based on the configuration parameters.

Illustratively, the target airline has a preset number of entries, such as the top 100 entries selected from the largest order size.

Step S305: and the terminal B returns the ticket prices of the flights of the target airline at the terminal B.

Step S306: and the C end returns the price of each ticket of each flight of the target airline at the C end.

Wherein the returned ticket prices correspond to a time parameter, such as each ticket price, i.e., a shipping price, for each flight associated with the target airline for 14 days from the start of the price comparison.

In a practical example, the B-side and the C-side may provide price download ports (e.g., API port implementation), and the computer device may import parameters through the price download ports to get the price of each ticket returned.

Step S307: and the data analysis platform performs information aggregation on each flight for obtaining the air ticket price, and compares the air ticket price sets obtained by the terminal B and the terminal C to obtain a freight price comparison result.

Specifically, the aggregated flight information has a plurality of flight information dimensions, such as the flight number, departure location, arrival location, departure date, cabin, and the like, as described above. By modifying the content of the flight information dimension, the required flights and the corresponding respective first and second rates can be filtered.

Step S308: and displaying the freight rate comparison result.

And ending the price comparison. And then, the steps can be periodically executed according to the preset starting time to obtain an updated freight rate comparison result.

Fig. 4 is a block diagram of a data processing apparatus according to an embodiment of the disclosure. Since the specific implementation of the data processing apparatus may refer to the previous data processing method embodiment, detailed description of technical details is not repeated here.

In fig. 4, the data processing apparatus 400 includes:

the query module 401 is configured to query, at the consuming user application end, a first freight rate set of each flight corresponding to each target airline based on the configuration parameters, and query, at the business user application end, a second freight rate set of each flight corresponding to each target airline;

and the analysis module 402 is used for forming and displaying a freight rate comparison analysis result based on the difference of each first freight rate set and each second freight rate set on the same target route.

In some embodiments, the data processing apparatus further comprises: and the alignment module is used for aligning the second freight rate set corresponding to at least one target route to the first freight rate set based on the freight rate comparison analysis result.

In some embodiments, the preset starting time point is periodically set.

It should be noted that, all or part of the functional blocks in the embodiment of fig. 4 may be implemented by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of program instruction products. The program instruction product includes one or more program instructions. The processes or functions according to the present disclosure are produced in whole or in part when program instruction instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The program instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.

In addition, the apparatus disclosed in the embodiment of fig. 4 can be implemented by other module division methods. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules described is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or modules may be combined or may be dynamic to another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in an electrical or other form.

In addition, each functional module and sub-module in the embodiment in fig. 4 may be dynamically in one processing unit, or each module may exist alone physically, or two or more modules may be dynamically in one unit. The dynamic component can be realized in a form of hardware or a form of a software functional module. The dynamic components described above, if implemented in the form of software functional modules and executed as separate products for sale or use, may also be stored in a computer readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.

It should be noted that the flowchart or method representations of the flowchart representations of the above-described embodiments of the present disclosure may be understood as representing modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved.

For example, the order of the steps in the embodiments of fig. 1 and 3 may be changed in a specific scenario, and is not limited to the above representation.

Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the disclosure.

In some embodiments, the computer device 500 is configured to load program instructions implementing the aforementioned method embodiments (e.g., fig. 1, fig. 3, etc.). The computer apparatus may be embodied as, for example, a server, desktop, laptop, mobile terminal, etc., which may be used by an implementer who stores and/or executes such program instructions for commercial purposes of development, testing, use, etc. Illustratively, the computer apparatus 500 may be applied to a data analysis center of an OTA service platform.

The computer device 500 illustrated in fig. 5 is only an example and should not bring any limitations to the functionality or scope of use of the embodiments of the present disclosure.

As shown in fig. 5, computer apparatus 500 is embodied in the form of a general purpose computing device. The components of computer device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.

Wherein the storage unit stores program code which can be executed by the processing unit 510 to cause a computer device to implement the method steps described in the above embodiments of the present disclosure.

In some embodiments, the memory unit 520 may include a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.

In some embodiments, storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating execution system, one or more application programs, other program modules, and program data, each of which, and in some combination, may comprise an implementation of a network environment.

In some embodiments, bus 530 may include a data bus, an address bus, and a control bus.

In some embodiments, computer apparatus 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, Bluetooth device, etc.), which may be through input/output (I/O) interface 550. Optionally, computer device 500 also includes a display unit 540 coupled to an input/output (I/O) interface 550 for displaying. Moreover, computer device 500 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 560. As shown, network adapter 560 communicates with the other modules of computer device 500 via bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Embodiments of the present disclosure may also provide a computer-readable storage medium, which may contain program code and may be executed on a device, such as a personal computer, to implement the execution of each step and sub-step in the above-described method embodiments (e.g., fig. 1, fig. 3, etc.) of the present disclosure. In the context of this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program code may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including user-oriented programming languages such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

In summary, embodiments of the present disclosure provide a data processing method, an apparatus, and a storage medium, where the method queries, based on a configuration parameter, a first freight rate set of each flight corresponding to each target airline at a consuming user application end, and queries, at a business user application end, a second freight rate set of each flight corresponding to each target airline; and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result. By collecting and comparing the freight rate differences between the consuming user application terminal and the business user application terminal, the reason can be determined according to the freight rate differences so as to be beneficial to aligning the freight rates at the two ends, thereby avoiding the problem that the user traffic inclines to the consuming user application terminal due to the freight rate differences in the related art.

The above-described embodiments are merely illustrative of the principles of the present disclosure and their efficacy, and are not intended to limit the disclosure. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present disclosure. Accordingly, it is intended that all equivalent modifications or changes be made by those skilled in the art without departing from the spirit and technical spirit of the present disclosure and be covered by the claims of the present disclosure.

Claims

1. A data processing method, comprising:

based on the configuration parameters, inquiring a first freight rate set of each flight corresponding to each target route at a consumption user application end, and inquiring a second freight rate set of each flight corresponding to each target route at a business user application end;

and forming a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route and displaying the result.

2. The data processing method of claim 1, further comprising: and aligning a second freight rate set corresponding to at least one target route to the first freight rate set based on the freight rate comparison analysis result.

3. A data processing method according to claim 1 or 2, wherein the difference comprises at least one of: differences in freight categories; the difference of freight rates.

4. The data processing method of claim 1, wherein the configuration parameters comprise: the identity of one or more users at the consuming user application end and the business user application end; and determining a time parameter and a number parameter of the target route.

5. The data processing method of claim 4, wherein the time parameter comprises: the preset duration from the preset starting time point of the target route; the number of routes parameters include: n of the front n routes with the maximum order quantity of the target route;

based on the configuration parameters, respectively inquiring at a consumer user application end and a business user application end to obtain each common target route, wherein the steps comprise:

and inquiring to obtain each alternative route according to the time parameters, and screening to obtain each target route in each alternative route according to the quantity parameters of the routes.

6. The data processing method according to claim 5, wherein the preset starting time point is periodically set.

7. The data processing method of claim 1, wherein the forming and displaying of the comparative freight rate analysis result based on the difference of each of the first freight rate set and the second freight rate set on the same target route comprises:

differences are obtained for each of the first and second rates for flights screened over the modifiable at least one flight information dimension.

8. The data processing method of claim 7, wherein the flight information dimension comprises at least one of: a flight number; a departure date; a place of departure; to the ground; a cabin.

9. A data processing apparatus, comprising:

the query module is used for querying a first freight rate set of each flight corresponding to each target airline at a consumption user application end and querying a second freight rate set of each flight corresponding to each target airline at a business user application end based on the configuration parameters;

and the analysis module is used for forming and displaying a freight rate comparison analysis result based on the difference of the first freight rate set and the second freight rate set on the same target route.

10. A computer device, comprising: a communicator, a memory, and a processor; the communicator is used for communicating with the outside; the memory stores program instructions; the processor is configured to execute the program instructions to perform the data processing method of any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that program instructions are stored which are executed to perform the data processing method of any one of claims 1 to 8.