Two-ticket system data acquisition method and device based on big data array

Abstract

The invention discloses a two-ticket system data acquisition method and device based on a big data array. The method comprises the following steps: acquiring first source data and second source data; inputting the first source data into a two-ticket system preliminary screening matrix to obtain a to-be-matched data identifier; generating a data acquisition strategy according to the to-be-matched data identifier, the second source data and a two-ticket system target identifier; and selectively collecting target data from an original data pool according to the data collection strategy. The technical problems that in the prior art, the data collection process of two systems is too single and low in efficiency, data collection precision is poor and speed is low in front of a complex system formed by diversified data, and directional collection cannot be achieved according to actual requirements are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of big data system optimization, and in particular, to a two-ticket system data acquisition method and device based on a big data array array. BACKGROUND

[0002] With the continuous development of intelligent technology, people's life, work and study increasingly use intelligent devices, and use intelligent technology to improve the quality of life and increase the efficiency of learning and work.

[0003] At present, the data acquisition process of the two-ticket system is only through various data source ports to acquire the data to be processed, and the data is cleaned, processed and disposed, so as to obtain the functional technical purpose of the two-ticket system. However, the two-ticket system data acquisition process in the prior art is too single and low in efficiency, and in the face of a complex system composed of diversified data, the data acquisition accuracy is poor, the speed is slow, and the actual demand cannot be collected in a certain direction.

[0004] For the above problems, no effective solution has been proposed so far. SUMMARY

[0005] The embodiments of the present application provide a two-ticket system data acquisition method and device based on a big data array array, to at least solve the technical problem that the two-ticket system data acquisition process in the prior art is too single and low in efficiency, and in the face of a complex system composed of diversified data, the data acquisition accuracy is poor, the speed is slow, and the actual demand cannot be collected in a certain direction.

[0006] According to one aspect of an embodiment of the present application, a two-ticket system data acquisition method based on a big data array array is provided, comprising: acquiring first source data and second source data; inputting the first source data into a two-ticket system preliminary screening matrix to obtain a to-be-matched data identifier; generating a data acquisition strategy according to the to-be-matched data identifier, the second source data and a two-ticket system targeting identifier; and selectively acquiring target data from an original data pool according to the data acquisition strategy.

[0007] Optionally, the inputting the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifier comprises: constructing the two-ticket system preliminary screening matrix

[0008]

[0009] wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; the first source data is input into the two-ticket system preliminary screening matrix, and the to-be-matched data identifier is obtained through a corresponding coordination algorithm.

[0010] Optionally, the generating the data collection strategy according to the to-be-matched data identifier, the second source data and the two-vote system targeting identifier comprises: calculating through a formula

[0011] C = σ (P (1, n) ·D' (1, n) )

[0012] fitting the to-be-matched data identifier, the second source data and the two-vote system targeting identifier to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-vote system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents a round calculation from a first data element to an n th data element.

[0013] Optionally, the original data pool comprises: the first source data, the second source data and other data.

[0014] According to another aspect of the embodiment of the present application, a two-vote system data collection device based on a big data array array is also provided, comprising: an acquisition module configured to acquire first source data and second source data; an input module configured to input the first source data into a two-vote system preliminary screening matrix to obtain to-be-matched data identifiers; a fitting module configured to generate a data collection strategy according to the to-be-matched data identifiers, the second source data and a two-vote system targeting identifier; and a selection module configured to selectively collect target data from an original data pool according to the data collection strategy.

[0015] Optionally, the input module comprises:

[0016] a construction unit configured to construct the two-vote system preliminary screening matrix

[0017]

[0018] wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; and an input unit configured to input the first source data into the two-vote system preliminary screening matrix to obtain the to-be-matched data identifiers through a corresponding coordination algorithm.

[0019] Optionally, the fitting module comprises: a calculation unit configured to calculate through a formula

[0020] C = σ (P (1, n) ·D' (1, n) )

[0021] fitting the to-be-matched data identifier, the second source data and the two-vote system targeting identifier to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-vote system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents a round calculation from a first data element to an n th data element.

[0022] Optionally, the original data pool comprises the first source data, the second source data and other data.

[0023] According to another aspect of the embodiments of the present application, a non-volatile storage medium is also provided, which comprises a stored program, wherein the program controls a device in which the non-volatile storage medium is located to execute a two-vote system data collection method based on a large data array array when running.

[0024] According to another aspect of the embodiments of the present application, an electronic device is also provided, which comprises a processor and a memory; the memory stores computer readable instructions, and the processor is configured to run the computer readable instructions, wherein the computer readable instructions execute a two-vote system data collection method based on a large data array array when running.

[0025] In the embodiments of the present application, the first source data and the second source data are acquired; the first source data is input into a two-vote system preliminary screening matrix to obtain to-be-matched data identifiers; a data collection strategy is generated according to the to-be-matched data identifiers, the second source data and two-vote system targeting identifiers; and target data is selectively collected from an original data pool according to the data collection strategy, which solves the technical problems in the prior art that the two-vote system data collection process is too single and inefficient, and in the face of a complex system constituted by diversified data, the data collection accuracy is poor, the speed is slow, and the actual demand cannot be collected in a directional manner. BRIEF DESCRIPTION OF DRAWINGS

[0026] The accompanying drawings, which are included to provide a further understanding of the application and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0027] Figure 1 is a flowchart of a two-vote system data collection method based on a large data array array according to an embodiment of the present application;

[0028] Figure 2 is a structural block diagram of a two-vote system data collection device based on a large data array array according to an embodiment of the present application;

[0029] Figure 3 is a block diagram of a terminal device for executing the method according to the present application according to an embodiment of the present application;

[0030] Figure 4 is a storage unit for holding or carrying program code for implementing the method according to the present application according to an embodiment of the present application. DETAILED DESCRIPTION

[0031] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts should fall within the scope of the present application.

[0032] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described accompanying drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product, or device.

[0033] According to the embodiments of the present application, a method embodiment of a big data array array-based two-vote system data acquisition method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0034] Embodiment one

[0035] Figure 1 is a flowchart of a big data array array-based two-vote system data acquisition method according to the embodiments of the present application, as Figure 1 shown, the method comprises the following steps:

[0036] Step S102, acquiring first source data and second source data.

[0037] Step S104, inputting the first source data to a two-vote system preliminary screening matrix to obtain to-be-matched data identification.

[0038] Step S106, generating a data acquisition strategy according to the to-be-matched data identification, the second source data, and a two-vote system targeting identification.

[0039] Step S108, selectively acquiring target data from an original data pool according to the data acquisition strategy.

[0040] Optionally, the inputting the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifier comprises: constructing the two-ticket system preliminary screening matrix

[0041]

[0042] wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; the first source data is input into the two-ticket system preliminary screening matrix, and the to-be-matched data identifier is obtained through a corresponding coordination algorithm.

[0043] Optionally, the generating the data collection strategy according to the to-be-matched data identifier, the second source data and the two-ticket system targeting identifier comprises: through a formula

[0044] C=σ(P(1,n)·D'(1,n))

[0045] the to-be-matched data identifier, the second source data and the two-ticket system targeting identifier are fitted to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-ticket system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents a round tour calculation from the first data element to the nth data element.

[0046] Optionally, the original data pool comprises: the first source data, the second source data and other data.

[0047] Through the above embodiment, the technical problem that the two-ticket system data collection process in the prior art is too single and low in efficiency, and in the face of a complex system constituted by diversified data, the data collection is poor in accuracy and slow in speed, and cannot be collected in a direction according to actual needs is solved.

[0048] Embodiment two

[0049] Figure 2 is a structure block diagram of a two-ticket system data collection device based on a big data array array according to an embodiment of the application, as Figure 2 shown, the device comprises:

[0050] The acquisition module 20 is configured to acquire first source data and second source data.

[0051] The input module 22 is configured to input the first source data into a two-ticket system preliminary screening matrix to obtain a to-be-matched data identifier.

[0052] The fitting module 24 is configured to generate a data collection strategy according to the to-be-matched data identifier, the second source data and a two-ticket system targeting identifier.

[0053] The selecting module 26 is configured to selectively collect target data from the original data pool according to the data collection strategy.

[0054] Optionally, the input module comprises:

[0055] The constructing unit is configured to construct the two-ticket system preliminary screening matrix.

[0056]

[0057] The input unit is configured to input the first source data into the two-ticket system preliminary screening matrix, and obtain the to-be-matched data identifier through a corresponding coordination algorithm.

[0058] Optionally, the fitting module comprises a calculation unit configured to calculate C according to the following formula:

[0059] C = σ (P (1, n) ·D' (1, n) )

[0060] The to-be-matched data identifier, the second source data and the two-ticket system targeting identifier are fitted to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-ticket system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents round-trip calculation from the first data element to the nth data element.

[0061] Optionally, the original data pool comprises the first source data, the second source data and other data.

[0062] The above embodiment solves the technical problem that the two-ticket system data collection process in the prior art is too single and inefficient, and in the face of a complex system composed of diversified data, the data collection accuracy is poor, the speed is slow, and the data cannot be collected in a specific direction according to actual needs.

[0063] According to another aspect of the embodiment of the present application, a non-volatile storage medium is also provided, which comprises a stored program, wherein the program controls a device in which the non-volatile storage medium is located to execute a two-ticket system data collection method based on a large data array array when the program is running.

[0064] Specifically, the method comprises: obtaining first source data and second source data; inputting the first source data into a two-ticket system preliminary screening matrix to obtain a to-be-matched data identifier; generating a data collection strategy according to the to-be-matched data identifier, the second source data and a two-ticket system targeting identifier; and selectively collecting target data from an original data pool according to the data collection strategy. Optionally, the inputting the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifier comprises: constructing the two-ticket system preliminary screening matrix

[0065]

[0066] wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; the first source data is input into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifier through a corresponding coordination algorithm. Optionally, the generating the data collection strategy according to the to-be-matched data identifier, the second source data and the two-ticket system targeting identifier comprises: obtaining the data collection strategy through a formula

[0067] C=σ(P(1,n)·D'(1,n))

[0068] fitting the to-be-matched data identifier, the second source data and the two-ticket system targeting identifier to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-ticket system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents round-trip calculation from the first data element to the n th data element. Optionally, the original data pool comprises: the first source data, the second source data and other data.

[0069] According to another aspect of the embodiment of the present application, an electronic device is also provided, comprising a processor and a memory; the memory stores computer readable instructions, and the processor is configured to run the computer readable instructions, wherein the computer readable instructions perform a two-ticket system data collection method based on a large data array.

[0070] Specifically, the method comprises: obtaining first source data and second source data; inputting the first source data into a two-ticket system preliminary screening matrix to obtain a to-be-matched data identifier; generating a data collection strategy according to the to-be-matched data identifier, the second source data and a two-ticket system targeting identifier; and selectively collecting target data from an original data pool according to the data collection strategy. Optionally, the inputting the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifier comprises: constructing the two-ticket system preliminary screening matrix

[0071]

[0072] Wherein, D1 to Dn are n first source data elements, P1 to Pn are corresponding n to-be-matched data identifiers; the first source data is input into the two-ticket system preliminary screening matrix, and the to-be-matched data identifiers are obtained through corresponding coordination algorithms. Optionally, the data collection strategy is generated according to the to-be-matched data identifiers, the second source data and the two-ticket system targeting identifier, and the data collection strategy is generated according to the to-be-matched data identifiers, the second source data and the two-ticket system targeting identifier.

[0073] C = σ (P (1, n) ·D' (1, n) )

[0074] The to-be-matched data identifiers, the second source data and the two-ticket system targeting identifier are fitted to obtain the data collection strategy, wherein C represents the data collection strategy, sigma represents the two-ticket system targeting identifier, P represents the to-be-matched data identifier, D' represents the second source data, and (1, n) represents round calculation from the 1th to the nth data element. Optionally, the original data pool comprises the first source data, the second source data and other data.

[0075] The above-mentioned embodiment numbers of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0076] In the above-mentioned embodiments of the application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0077] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.

[0078] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed to multiple units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0079] In addition, Figure 3 The hardware structure schematic diagram of the terminal equipment provided by an embodiment of the present application is shown in FIG. 1. Figure 3As shown, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to realize communication connections between components. The memory 33 may include high-speed RAM memory, and may also include non-volatile memory (NVM), such as at least one disk storage device. The memory 33 may store various programs for performing various processing functions and implementing the method steps of this embodiment.

[0080] Optionally, the processor 31 may be implemented as a central processing unit (CPU), application-specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field-programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components. The processor 31 is coupled to the input device 30 and output device 32 via wired or wireless connection.

[0081] Optionally, the input device 30 may include various input devices, such as a user interface, a device interface, a programmable software interface, a camera, and a sensor. Optionally, the device interface may be a wired interface for data transmission between devices, or a hardware interface (e.g., USB interface, serial port) for data transmission between devices. Optionally, the user interface may be a user-facing control button, a voice input device for receiving voice input, or a touch-sensing device for receiving user touch input (e.g., a touchscreen, touchpad, etc.). Optionally, the programmable software interface may be an entry point for users to edit or modify programs, such as a chip's input pin interface or input interface. Optionally, the transceiver may be a radio frequency transceiver chip with communication functions, a baseband processing chip, and a transceiver antenna. Audio input devices such as microphones can receive voice data. Output device 32 may include displays, speakers, and other output devices.

[0082] In this embodiment, the processor of the terminal device includes functions for executing the modules of the data processing device in each device. The specific functions and technical effects can be referred to in the above embodiments, and will not be repeated here.

[0083] Figure 4 This is a schematic diagram of the hardware structure of a terminal device provided in another embodiment of this application. Figure 4 Yes Figure 3 A specific implementation example in the implementation process. For example... Figure 4 As shown, the terminal device in this embodiment includes a processor 41 and a memory 42.

[0084] The processor 41 executes computer program codes stored in the memory 42 to implement the methods in the above embodiments.

[0085] The memory 42 is configured to store various types of data to support the operation of the terminal device. Examples of these data include instructions for any application program or method operating on the terminal device, such as messages, pictures, videos, etc. The memory 42 can contain random access memory (RAM) and can also include non-volatile memory, such as at least one disk memory.

[0086] Optionally, the processor 41 is disposed in the processing component 40. The terminal device can further include a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input / output interface 47, and / or a sensor component 48. The terminal device specifically contains components and the like according to the actual demand, which is not limited in the embodiment.

[0087] The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 can include one or more processors 41 to execute instructions to complete all or part of steps of the above methods. Moreover, the processing component 40 can include one or more modules to facilitate the interaction between the processing component 40 and other components. For example, the processing component 40 can include a multimedia module to facilitate the interaction between the multimedia component 45 and the processing component 40.

[0088] The power supply component 44 supplies various components of the terminal device with power. The power supply component 44 can include a power supply management system, one or more power supplies, and other components associated with generating, managing and distributing power to the terminal device.

[0089] The multimedia component 45 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen can include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, sliding and gestures on the touch panel. The touch sensor can not only sense the boundary of the touch or sliding action, but also detect the duration and pressure related to the touch or sliding operation.

[0090] The audio component 46 is configured to output and / or input audio signals. For example, the audio component 46 includes a microphone (MIC) that is configured to receive an external audio signal when the terminal device is in an operation mode, such as a voice recognition mode. The received audio signal can be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, the audio component 46 also includes a speaker for outputting audio signals.

[0091] The input / output interface 47 provides an interface between the processing component 40 and peripheral interface modules, which can be a click wheel, buttons, and the like. The buttons can include, but are not limited to, volume buttons, start buttons, and lock buttons.

[0092] The sensor component 48 includes one or more sensors for providing status assessments of various aspects of the terminal device. For example, the sensor component 48 can detect an open / closed state of the terminal device, relative positioning of components, presence or absence of user contact with the terminal device, and the like. The sensor component 48 can include a proximity sensor configured to detect presence of nearby objects without any physical contact, including detecting a distance between a user and the terminal device. In some embodiments, the sensor component 48 can also include a camera, and the like.

[0093] The communication component 43 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In one embodiment, the terminal device can include a SIM card slot for inserting a SIM card, such that the terminal device can log in to a GPRS network and establish communication with a server via the Internet.

[0094] As described above, the communication component 43, the audio component 46, the input / output interface 47, and the sensor component 48 can be implemented as an input device in the embodiments. Figure 4 Figure 3

[0095] In several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units can be a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.

[0096] ​​The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0097] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0098] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical scheme of the present application or the part of the present application which contributes to the prior art or the whole or part of the technical scheme can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various program code storage media.

[0099] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A two-vote system data acquisition method based on a large data array array, characterized by, The method comprises: acquiring first source data and second source data; inputting the first source data into a two-ticket system preliminary screening matrix to obtain to-be-matched data identifiers; generating a data collection strategy according to the to-be-matched data identifiers, the second source data, and two-ticket system targeting identifiers; selectively collecting target data from an original data pool according to the data collection strategy.

2. The method of claim 1, wherein, The inputting the first source data into a two-ticket system preliminary screening matrix to obtain to-be-matched data identifiers comprises: constructing the two-ticket system preliminary screening matrix wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; inputting the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifiers through a corresponding coordination algorithm.

3. The method of claim 1, wherein, The generating a data collection strategy according to the to-be-matched data identifiers, the second source data, and two-ticket system targeting identifiers comprises: fitting the to-be-matched data identifiers, the second source data, and two-ticket system targeting identifiers through a formula C = σ (P (1, n) ·D' (1, n)) to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-ticket system targeting identifiers, P represents the to-be-matched data identifiers, D' represents the second source data, and (1, n) represents a round calculation from the 1st to the nth data element.

4. The method of claim 1, wherein, The original data pool comprises the first source data, the second source data, and other data.

5. A two-vote system data acquisition device based on a large data array array, characterized by, The method comprises: an acquiring module configured to acquire first source data and second source data; an inputting module configured to input the first source data into a two-ticket system preliminary screening matrix to obtain to-be-matched data identifiers; a fitting module configured to generate a data collection strategy according to the to-be-matched data identifiers, the second source data, and two-ticket system targeting identifiers; a selecting module configured to selectively collect target data from an original data pool according to the data collection strategy.

6. The apparatus of claim 5, wherein, The inputting module comprises: a constructing unit configured to construct the two-ticket system preliminary screening matrix wherein D1 to Dn are n first source data elements, and P1 to Pn are corresponding n to-be-matched data identifiers; an inputting unit configured to input the first source data into the two-ticket system preliminary screening matrix to obtain the to-be-matched data identifiers through a corresponding coordination algorithm.

7. The apparatus of claim 5, wherein, The fitting module comprises: a calculating unit configured to fit the to-be-matched data identifiers, the second source data, and two-ticket system targeting identifiers through a formula C = σ (P (1, n) ·D' (1, n)) to obtain the data collection strategy, wherein C represents the data collection strategy, σ represents the two-ticket system targeting identifiers, P represents the to-be-matched data identifiers, D' represents the second source data, and (1, n) represents a round calculation from the 1st to the nth data element.

8. The apparatus of claim 5, wherein, The original data pool comprises the first source data, the second source data, and other data.

9. A non-volatile storage medium, comprising: The non-volatile storage medium comprises a stored program, wherein the program controls a device in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4 when the program is executed.

10. An electronic device, comprising: A computer readable storage medium having stored computer readable instructions, wherein the computer readable instructions, when executed by a processor, perform the method of any one of claims 1 to 4. A computer readable storage medium having stored computer readable instructions, wherein the computer readable instructions, when executed by a processor, perform the method of any one of claims 1 to 4.

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