CN110264305B - Data processing method, processing device, storage medium and terminal equipment - Google Patents
Data processing method, processing device, storage medium and terminal equipment Download PDFInfo
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- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus, a storage medium, and a terminal device. The method comprises the following steps: acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement; acquiring a second data requirement of the first user, and performing matching analysis on the target data sets according to the second data requirement to obtain target data meeting the second data requirement in each target data set; determining a data label corresponding to the target data, and sending the data label to the first user, so that the first user selects data according to the data label and feeds back a selection result; receiving a selection result fed back by the first user, and sending the selection result to the corresponding second user, so that the second user performs data packaging according to the selection result, and feeds back a packaged data subset; and receiving the data subset fed back by the second user and sending the data subset to the first user.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus, a computer-readable storage medium, and a terminal device.
Background
With the maturity and development of big data technology, big data is more and more widely applied to business, and thus data transaction also comes. The existing data transaction is mainly carried out by taking a data set as a unit, and the data set is often determined by a data provider, so that if the data set of the data provider is unreasonable in determination, the data purchased by a data purchasing party often contains a large amount of data which is not needed by the data purchasing party, the purchasing cost of the data purchasing party is increased, the purchasing intention of the data purchasing party is greatly reduced, and the development of a data transaction market is not facilitated.
Disclosure of Invention
Embodiments of the present invention provide a data processing method, a processing apparatus, a computer-readable storage medium, and a terminal device, which can implement on-demand purchase of data to improve flexibility of data transaction, reduce purchasing cost of a data purchasing party, improve purchasing willingness of the data purchasing party, and promote flexible development of a data transaction market.
In a first aspect of the embodiments of the present invention, a data processing method is provided, including:
acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement;
acquiring a second data requirement of the first user, and performing matching analysis on the target data sets according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
determining a data label corresponding to the target data, and sending the data label to the first user, so that the first user selects data according to the data label, and feeds back a selection result;
receiving a selection result fed back by the first user, and sending the selection result to a corresponding second user, so that the second user performs data packaging according to the selection result, and feeds back a packaged data subset;
and receiving a data subset fed back by the second user, and sending the data subset to the first user.
In a second aspect of the embodiments of the present invention, there is provided a data processing apparatus, including:
the data set retrieval module is used for acquiring a first data requirement of a first user and retrieving a target data set required by the first user according to the first data requirement;
the target data acquisition module is used for acquiring a second data requirement of the first user, and performing matching analysis on the target data sets according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
the data tag sending module is used for determining a data tag corresponding to the target data and sending the data tag to the first user so that the first user can select data according to the data tag and feed back a selection result;
the data subset packing module is used for receiving the selection result fed back by the first user and sending the selection result to a corresponding second user so that the second user can pack data according to the selection result and feed back the packed data subset;
and the data subset sending module is used for receiving the data subset fed back by the second user and sending the data subset to the first user.
In a third aspect of the embodiments of the present invention, a computer-readable storage medium is provided, where computer-readable instructions are stored, and when executed by a processor, implement the steps of the data processing method according to the first aspect.
In a fourth aspect of the embodiments of the present invention, there is provided a terminal device, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, where the processor executes the computer-readable instructions to implement the following steps:
acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement;
acquiring a second data requirement of the first user, and performing matching analysis on the target data sets according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
determining a data tag corresponding to the target data, and sending the data tag to the first user, so that the first user performs data selection according to the data tag, and feeds back a selection result;
receiving a selection result fed back by the first user, and sending the selection result to a corresponding second user, so that the second user performs data packaging according to the selection result, and feeds back a packaged data subset;
and receiving a data subset fed back by the second user, and sending the data subset to the first user.
According to the technical scheme, the embodiment of the invention has the following advantages:
in the embodiment of the invention, the initial retrieval of the target data set can be carried out according to the first data requirement of the first user, the accurate matching of the data can be carried out in the target data set according to the second data requirement of the first user to obtain the target data actually required by the first user, and the data label corresponding to the target data is sent to the first user for the first user to select the final data, so that the data processing is carried out according to the final selection result of the first user, the data purchasing party can purchase the data as required, the flexibility of data transaction is improved, the purchase of irrelevant data is reduced to the greatest extent, the purchasing cost of the data purchasing party is reduced, the purchasing willingness of the data purchasing party is improved, and the flexible development of a data transaction market is greatly promoted.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of an embodiment of a data processing method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a data processing method sending a selection result to a second user in an application scenario according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a data processing method sending a selection result to a second user in another application scenario according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating that a data processing method obtains preprocessed data in an application scenario according to an embodiment of the present invention;
FIG. 5 is a block diagram of an embodiment of a data processing apparatus according to the present invention;
fig. 6 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a data processing method, a processing device, a computer readable storage medium and a terminal device, which are used for realizing data purchase on demand so as to improve the flexibility of data transaction, reduce the purchase cost of a data purchasing party, improve the purchase intention of the data purchasing party and promote the flexible development of a data transaction market.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a data processing method, where the data processing method includes:
step S101, acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement;
the data processing in the embodiment of the present invention may be data transaction, and the execution subject in the embodiment of the present invention may be a data transaction center, for example, may be a terminal device corresponding to the data transaction center, where the terminal device includes but is not limited to: the system comprises devices such as a server, a computer, a smart phone and a tablet computer, wherein a first user can be a data buyer, a second user can be a data provider, a data set provided by the data provider can provide retrieval and query services through the data transaction center, when the data purchasing party needs to purchase data, the data purchasing party can send a first data demand to the data transaction center, for data retrieval by the data transaction center, for example, a first procurement requirement containing a specific keyword may be sent to the data transaction center, which, after receiving the first procurement requirement, the retrieval of the data set can be performed according to the specific keyword contained to retrieve the target data set required by the data purchasing party and feed back the retrieved target data set to the data purchasing party.
Step S102, acquiring a second data requirement of the first user, and performing matching analysis on the target data sets according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
in the embodiment of the present invention, after receiving the target data set fed back by the data transaction center, the first user, i.e., the data purchasing party, may determine a second data requirement according to the received target data set, and may further send the second data requirement to the data transaction center, and the data transaction center may perform accurate matching analysis on the target data set according to the received second data requirement to obtain target data satisfying the second data requirement in each target data set, so that the target data of the current transaction may be accurately determined according to the purchasing requirement of the first user, thereby reducing irrelevant data in the current transaction, and reducing the purchasing cost of the data purchasing party.
Step S103, determining a data tag corresponding to the target data, and sending the data tag to the first user, so that the first user selects data according to the data tag and feeds back a selection result;
in order to further reduce the purchase of unrelated data and further reduce the purchase cost of a data purchasing party, in the embodiment of the invention, after target data meeting the second data requirement in each target data set is determined, a data tag corresponding to each target data can be determined firstly, wherein the data tag can be attribute information such as region information, type information or brand information corresponding to the target data, and then the data tag corresponding to each target data can be sent to the first user, and the first user can select data according to the data tag and feed back the final selection result.
In the embodiment of the invention, after the target data required by the first user is analyzed according to the purchasing requirement in a matching manner, the data transaction center only feeds back the data labels for simply describing the target data to the first user, but does not feed back the specific content of the target data, so that the exposure or leakage of the target data can be avoided, and the data security of the second user can be ensured to the greatest extent on the basis of meeting the purchasing requirement of the first user.
Step S104, receiving a selection result fed back by the first user, and sending the selection result to a corresponding second user, so that the second user performs data packaging according to the selection result and feeds back a packaged data subset;
in the embodiment of the invention, after the data transaction center receives the selection result fed back by the first user, the specific target data which the first user wants to purchase can be determined, and the specific target data which the first user wants to purchase can be sent to the corresponding second user, here, the specific target data that the first user wants to purchase, which is determined by the data transaction center, is often only a data name or the like corresponding to each target data, therefore, the data transaction center can send the data name corresponding to the specific target data which the first user wants to purchase to the corresponding second user, after the corresponding second user receives each data name, the specific data content of each target data can be determined, and uniformly packing the specific data content of all the target data to obtain a packed data subset and then feeding back the packed data subset to the data transaction center.
It should be noted that, in order to ensure the security of data transmission, after the second user, i.e., the data provider, performs uniform data packaging on specific data contents of all target data to obtain a data subset, the second user may also perform encryption processing on the data subset, and feed back the encrypted data subset to the data transaction center, so as to avoid data exposure or leakage in the transmission process, and improve the transaction security of data transaction.
Further, as shown in fig. 2, the receiving a selection result fed back by the first user and sending the selection result to the corresponding second user may include:
step S201, receiving a selection result fed back by the first user;
step S202, classifying the target data corresponding to the selection result according to a preset classification mode to obtain a plurality of classification groups;
step S203, determining a second user corresponding to each of the classified groups, and sending each of the classified groups to the determined second user.
As for the above steps S201 to S203, it can be understood that, because there is often more than one second user interfacing with the data transaction center, the target data matched according to the purchase requirement of the first user often comes from multiple second users, in this embodiment of the present invention, after receiving the selection result fed back by the first user, the target data corresponding to the selection result may be firstly classified according to a preset classification manner to obtain multiple classification groups, for example, the target data corresponding to the selection result may be classified according to the second user to which each target data belongs to obtain multiple classification groups belonging to different second users, and then the data name of the target data corresponding to each classification group may be sent to the corresponding second user.
For example, in a specific application scenario, when it is determined that the second user to which the target data in the classification group a belongs is the second user a, the second user to which the target data in the classification group B belongs is the second user B, and the second user to which the target data in the classification group C belongs is the second user C, the data name corresponding to each target data in the classification group a may be sent to the second user a, the data name corresponding to each target data in the classification group B may be sent to the second user B, and the data name corresponding to each target data in the classification group C may be sent to the second user C.
Further, as shown in fig. 3, the receiving a selection result fed back by the first user and sending the selection result to the corresponding second user may include:
step S301, receiving a selection result fed back by the first user, and obtaining preprocessing data according to the selection;
step S302, sending the preprocessed data to the first user to enable the first user to process and confirm and feed back a confirmation result;
and step S303, when the confirmation result is confirmation processing, sending the selection result and the preprocessing data to a corresponding second user.
As for the above steps S301 to S303, it can be understood that, after the first user selects data and feeds back a selection result, whether to purchase the selected target data or not may further need to be determined according to the preprocessed data corresponding to the target data, where the preprocessed data may be a transaction amount corresponding to the target data, and therefore, in an embodiment of the present invention, after receiving the selection result fed back by the first user, the transaction amount of the transaction may be determined according to the selection result, and the determined transaction amount may be sent to the first user, for example, the transaction amount may be displayed on a terminal device corresponding to the first user, and after receiving the transaction amount, the first user may determine whether to purchase the selected target data or not, and if so, may send a confirmation result of determining the transaction to the data transaction center, after receiving the confirmation result of confirming the transaction, the data transaction center can send the target data selected by the first user and the transaction amount of the transaction to the corresponding second user, so that the corresponding second user can clearly know the transaction condition and prepare specific data content.
Here, it should be noted that, after receiving the transaction amount, the first user may further perform corresponding adjustment on the selected selection result according to specific needs, and feed back the adjusted selection result to the data transaction center, and the data transaction center may determine and feed back the transaction amount again according to the adjusted selection result.
Preferably, in a specific application scenario, the obtaining of the preprocessed data according to the selection result may include:
obtaining the preprocessed data according to the following formula:
wherein, TranSum is the preprocessing data, N is the total number of items of the target data corresponding to the selection result, PricenThe matching data corresponding to the nth entry label data, the quitynAnd marking a preset coefficient corresponding to the data of the nth item.
Here, the matching data may be a transaction price corresponding to each target data. In this scenario, the transaction price and the preset coefficient corresponding to each target data may be set in advance according to the specific requirements of each second user, where the preset coefficient is used to represent the importance of the target data, for example, the preset coefficient corresponding to the target data with higher importance is larger, and the preset coefficient corresponding to the target data with lower importance is smaller. It can be understood that, after receiving the selection result fed back by the first user, the data transaction center may obtain the transaction price and the preset coefficient of each target data corresponding to the selection result, and may calculate the transaction amount of the data transaction according to each transaction price and the corresponding preset coefficient.
In this scenario, when the target data selected by the first user is from a plurality of second users, the transaction amounts corresponding to the second users may also be obtained according to the above formula, and then the transaction amounts corresponding to the second users are added to obtain the final transaction amount of the transaction, and the final transaction amount is sent to the first user, and if the first user determines the transaction, the data transaction center may send the target data and the transaction amount corresponding to the second users to the corresponding second users, so that the second users perform packing of corresponding data subsets.
Optionally, as shown in fig. 4, in another specific application scenario, the obtaining of the preprocessed data according to the selection result may include:
step S401, acquiring the history processing times and the first history matching data corresponding to each target data in the selection result;
step S402, determining the same-level data corresponding to each target data in the selection result, and acquiring second history matching data of each same-level data;
and S403, obtaining the preprocessed data according to the historical processing times, the first historical matching data and corresponding second historical matching data of the data with the same grade.
Specifically, the obtaining the preprocessed data according to the historical processing times, the first historical matching data, and the second historical matching data of the corresponding data of the same level may include:
obtaining the preprocessed data according to the following formula:
wherein, TranSum is preprocessed data, HistoPriceijThe jth first history matching data, HistopWeight, corresponding to the ith entry mark dataijThe reference weight, Histonum, of the jth first history matching data corresponding to the ith item index dataiThe history processing times corresponding to the ith entry mark data, AverpiceiSecond History match data, AverWeight, for the same level data corresponding to the ith entry tag dataiThe reference weight, Quotiety, of the second history matching data of the same-level data corresponding to the ith entry index dataiAnd M is the total number of items of the target data corresponding to the selection result.
As for the above steps S401 to S403, it can be understood that, in this scenario, the first history matching data may be a history transaction price corresponding to each target data, the second history matching data may be a history average transaction price corresponding to each equivalent data, and the history processing number may be a history transaction number corresponding to each target data, and the data transaction center may record and store the transaction number and the transaction price of each target data and may also obtain the history average transaction price of the equivalent data corresponding to each target data, so that, in performing a new data transaction, the transaction price of each target data in the next transaction may be determined according to the history transaction number, the history transaction price and the history average transaction price of the equivalent data, so as to achieve the purpose that the transaction price of the target data is specifically determined by the transaction market and the transaction situation, thereby increasing the flexibility of data transaction price determination.
And S105, receiving the data subset fed back by the second user, and sending the data subset to the first user.
It can be understood that, in the embodiment of the present invention, after receiving the data subsets fed back by the second users, the data transaction center may integrate the data subsets and send the integrated data subsets to the first user, thereby completing the current data transaction process. It should be noted that, before sending the data subset to the first user, the data transaction center may also send a payment request to the first user to request the first user to pay the transaction amount corresponding to the data transaction, and after receiving the transaction amount paid by the first user, send the data subset to the first user, thereby completing the current data transaction.
In the embodiment of the invention, the initial retrieval of the target data set can be carried out according to the first purchasing requirement of the data purchasing party, the accurate matching of the data can be carried out in the target data set according to the second purchasing requirement of the data purchasing party to obtain the target data actually required by the data purchasing party, and the data label corresponding to the target data is sent to the data purchasing party for the data purchasing party to select the final transaction data, so that the data transaction is carried out according to the final selection result of the data purchasing party, the data purchasing party can purchase the data as required, the flexibility of the data transaction is improved, the purchase of irrelevant data is reduced to the maximum extent, the purchasing cost of the data purchasing party is reduced, the purchasing willingness of the data purchasing party is improved, and the flexible development of the data transaction market is greatly promoted.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The above mainly describes a data processing method, and a data processing apparatus will be described in detail below.
As shown in fig. 5, an embodiment of the present invention provides a data processing apparatus, including:
a data set retrieving module 501, configured to obtain a first data requirement of a first user, and retrieve a target data set required by the first user according to the first data requirement;
a target data obtaining module 502, configured to obtain a second data requirement of the first user, and perform matching analysis on the target data sets according to the second data requirement, so as to obtain target data in each of the target data sets, where the target data meets the second data requirement;
a data tag sending module 503, configured to determine a data tag corresponding to the target data, and send the data tag to the first user, so that the first user performs data selection according to the data tag, and feeds back a selection result;
a data subset packing module 504, configured to receive a selection result fed back by the first user, and send the selection result to a corresponding second user, so that the second user performs data packing according to the selection result, and feeds back a packed data subset;
a data subset sending module 505, configured to receive the data subset fed back by the second user, and send the data subset to the first user.
Further, the data subset packing module 504 may include:
the preprocessing data obtaining unit is used for receiving a selection result fed back by the first user and obtaining preprocessing data according to the selection result;
the processing confirmation unit is used for sending the preprocessing data to the first user so that the first user can perform processing confirmation and feed back a confirmation result;
and the preprocessing data sending unit is used for sending the selection result and the preprocessing data to a corresponding second user when the confirmation result is confirmation processing.
Preferably, the preprocessed data obtaining unit is specifically configured to obtain the preprocessed data according to the following formula:
wherein, TranSum is the preprocessing data, N is the total number of items of the target data corresponding to the selection result, PricenThe matching data, the query, corresponding to the nth entry label datanAnd marking a preset coefficient corresponding to the data of the nth item.
Optionally, the preprocessing data obtaining unit may further include:
a first history matching data obtaining subunit, configured to obtain a history processing frequency and first history matching data corresponding to each target data in the selection result;
the second history matching data acquisition subunit is used for determining the same-level data corresponding to each target data in the selection result and acquiring second history matching data of each same-level data;
and the preprocessing data obtaining subunit is used for obtaining the preprocessing data according to the historical processing times, the first historical matching data and the corresponding second historical matching data of the same-grade data.
Further, the preprocessed data obtaining subunit is specifically configured to obtain the preprocessed data according to the following formula:
wherein, TranSum is preprocessed data, HistoPriceijMatching the jth first history corresponding to the ith entry mark dataData of HistoWeightijThe reference weight, Histonum, of the jth first history matching data corresponding to the ith item index dataiThe history processing times corresponding to the ith entry mark data, AverpiceiSecond History match data, AverWeight, for the same level data corresponding to the ith entry tag dataiA reference weight, Quotity, of second history matching data of the same-level data corresponding to the ith entry index dataiAnd M is the total number of items of the target data corresponding to the selection result.
Preferably, the data subset packing module 504 may further include:
a selection result receiving unit, configured to receive a selection result fed back by the first user;
the target data classification unit is used for classifying the target data corresponding to the selection result according to a preset classification mode to obtain a plurality of classification groups;
and the classified group sending unit is used for determining the second user corresponding to each classified group and sending each classified group to the determined second user respectively.
Fig. 6 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 6, the terminal device 6 of this embodiment includes: a processor 60, a memory 61, and computer readable instructions 62, such as a data processing program, stored in the memory 61 and executable on the processor 60. The processor 60, when executing the computer readable instructions 62, implements the steps in the various data processing method embodiments described above, such as the steps S101-S105 shown in fig. 1. Alternatively, the processor 60, when executing the computer readable instructions 62, implements the functions of the modules/units in the device embodiments, such as the functions of the modules 501 to 505 shown in fig. 5.
Illustratively, the computer readable instructions 62 may be partitioned into one or more modules/units that are stored in the memory 61 and executed by the processor 60 to implement the present invention. The one or more modules/units may be a series of computer-readable instruction segments capable of performing specific functions, which are used to describe the execution process of the computer-readable instructions 62 in the terminal device 6.
The terminal device 6 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of a terminal device 6 and does not constitute a limitation of terminal device 6 and may include more or less components than those shown, or some components in combination, or different components, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the terminal device 6, such as a hard disk or a memory of the terminal device 6. The memory 61 may also be an external storage device of the terminal device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the terminal device 6. The memory 61 is used for storing the computer readable instructions and other programs and data required by the terminal device. The memory 61 may also be used to temporarily store data that has been output or is to be output.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A method of data processing, comprising:
acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement;
acquiring a second data requirement determined by the first user according to the received target data set, and performing matching analysis on the target data set according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
determining a data tag corresponding to the target data, and sending the data tag to the first user, so that the first user performs data selection according to the data tag, and feeds back a selection result; the data label is attribute information corresponding to the target data;
receiving a selection result fed back by the first user, and sending the selection result to a corresponding second user, so that the second user performs data packaging according to the selection result, and feeds back a packaged data subset;
receiving a data subset fed back by the second user and sending the data subset to the first user;
the receiving of the selection result fed back by the first user and the sending of the selection result to the corresponding second user includes:
receiving a selection result fed back by the first user, and obtaining preprocessing data according to the selection result; sending the preprocessed data to the first user to enable the first user to perform processing confirmation and feed back a confirmation result; when the confirmation result is confirmation processing, the selection result and the preprocessing data are sent to a corresponding second user;
receiving a selection result fed back by the first user; classifying the target data corresponding to the selection result according to a preset classification mode to obtain a plurality of classification groups; and determining a second user corresponding to each classified group, and respectively sending each classified group to the determined second user.
2. The data processing method of claim 1, wherein the obtaining of the preprocessed data according to the selection result comprises:
obtaining the preprocessed data according to the following formula:
wherein, TranSum is the preprocessing data, N is the total number of items of the target data corresponding to the selection result, PricenThe matching data corresponding to the nth entry label data, the quitynAnd marking a preset coefficient corresponding to the data of the nth item.
3. The data processing method of claim 1, wherein the obtaining of the preprocessed data according to the selection result comprises:
acquiring historical processing times and first historical matching data corresponding to each target data in the selection result;
determining the equivalent level data corresponding to each target data in the selection result, and acquiring second history matching data of each equivalent level data;
and obtaining the preprocessed data according to the historical processing times, the first historical matching data and the second historical matching data of the corresponding same-grade data.
4. The data processing method according to claim 3, wherein the obtaining the preprocessed data according to the historical processing times, the first historical matching data and the second historical matching data of the corresponding data of the same grade comprises:
obtaining the preprocessed data according to the following formula:
wherein, TranSum is preprocessed data, HistoPriceijThe jth first history matching data, HistopWeight, corresponding to the ith entry mark dataijThe reference weight, Histonum, of the jth first history matching data corresponding to the ith item index dataiThe history processing times corresponding to the ith entry mark data, AverpiceiSecond history matching data of the same-level data corresponding to the ith entry mark data, AverWeightiThe reference weight, Quotiety, of the second history matching data of the same-level data corresponding to the ith entry index dataiAnd M is the total number of items of the target data corresponding to the selection result.
5. A data processing apparatus, comprising:
the data set retrieval module is used for acquiring a first data requirement of a first user and retrieving a target data set required by the first user according to the first data requirement;
a target data acquisition module, configured to acquire a second data requirement determined by the first user according to the received target data set, and perform matching analysis on the target data set according to the second data requirement, so as to obtain target data in each target data set, where the target data meets the second data requirement;
the data tag sending module is used for determining a data tag corresponding to the target data and sending the data tag to the first user so that the first user can select data according to the data tag and feed back a selection result; the data label is attribute information corresponding to the target data;
the data subset packing module is used for receiving the selection result fed back by the first user and sending the selection result to a corresponding second user so that the second user can pack data according to the selection result and feed back the packed data subset;
a data subset sending module, configured to receive a data subset fed back by the second user, and send the data subset to the first user;
wherein the data subset packing module comprises:
the preprocessing data obtaining unit is used for receiving a selection result fed back by the first user and obtaining preprocessing data according to the selection result; the processing confirmation unit is used for sending the preprocessing data to the first user so that the first user can perform processing confirmation and feed back a confirmation result; the preprocessing data sending unit is used for sending the selection result and the preprocessing data to a corresponding second user when the confirmation result is confirmation processing;
a selection result receiving unit, configured to receive a selection result fed back by the first user; the target data classification unit is used for classifying the target data corresponding to the selection result according to a preset classification mode to obtain a plurality of classification groups; and the classified group sending unit is used for determining the second user corresponding to each classified group and sending each classified group to the determined second user respectively.
6. A computer-readable storage medium storing computer-readable instructions, which when executed by a processor implement the steps of the data processing method according to any one of claims 1 to 4.
7. A terminal device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor when executing the computer readable instructions performs the steps of:
acquiring a first data requirement of a first user, and retrieving a target data set required by the first user according to the first data requirement;
acquiring a second data requirement determined by the first user according to the received target data set, and performing matching analysis on the target data set according to the second data requirement to obtain target data meeting the second data requirement in each target data set;
determining a data tag corresponding to the target data, and sending the data tag to the first user, so that the first user performs data selection according to the data tag, and feeds back a selection result; the data label is attribute information corresponding to the target data;
receiving a selection result fed back by the first user, and sending the selection result to a corresponding second user, so that the second user performs data packaging according to the selection result, and feeds back a packaged data subset;
receiving a data subset fed back by the second user and sending the data subset to the first user;
the receiving of the selection result fed back by the first user and the sending of the selection result to the corresponding second user includes:
receiving a selection result fed back by the first user, and obtaining preprocessing data according to the selection result; sending the preprocessing data to the first user to enable the first user to perform processing confirmation and feed back a confirmation result; when the confirmation result is confirmation processing, the selection result and the preprocessing data are sent to a corresponding second user;
receiving a selection result fed back by the first user; classifying the target data corresponding to the selection result according to a preset classification mode to obtain a plurality of classification groups; and determining a second user corresponding to each classified group, and respectively sending each classified group to the determined second user.
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