CN110264305A - A kind of data processing method, processing unit, storage medium and terminal device - Google Patents
A kind of data processing method, processing unit, storage medium and terminal device Download PDFInfo
- Publication number
- CN110264305A CN110264305A CN201910423188.3A CN201910423188A CN110264305A CN 110264305 A CN110264305 A CN 110264305A CN 201910423188 A CN201910423188 A CN 201910423188A CN 110264305 A CN110264305 A CN 110264305A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- selection result
- sent
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
Abstract
The present invention relates to technical field of data processing more particularly to a kind of data processing method, device, storage medium and terminal devices.The described method includes: obtaining the first data requirements of the first user, and the target data set according to needed for the first data requirements the first user of retrieval；The second data requirements of the first user is obtained, and the matching analysis is carried out to target data set according to the second data requirements, each target data is obtained and concentrates the target data for meeting the second data requirements；It determines the corresponding data label of target data, and data label is sent to the first user, so that the first user carries out data selection according to data label, and feed back selection result；The selection result of the first user feedback is received, and selection result is sent to corresponding second user, so that second user carries out data packing according to selection result, and feeds back the data subset after being packaged；The data subset of second user feedback is received, and data subset is sent to the first user.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of data processing method, device, computer-readable deposit
Storage media and terminal device.
Background technique
With the maturation and development of big data technology, the application of big data commercially is also more and more extensive, thus data
Transaction is also come into being.Existing data trade is mainly to be carried out as unit of data set, and data set is often mentioned by data
Supplier determined, if therefore the data set of data providing determine the data unreasonable, data buying side can be made to be bought
In usually contained its a large amount of unwanted data of institute, increase the purchase cost of data buying side, significantly reduce data
The purchase intention of buying side is unfavorable for the development in data trade market.
Summary of the invention
The embodiment of the invention provides a kind of data processing method, processing unit, computer readable storage medium and terminals
Equipment can be realized the on-demand purchase of data, to improve the flexibility of data trade, reduce the purchase cost of data buying side,
The purchase intention of data buying side is improved, the flexible development in data trade market is promoted.
The embodiment of the present invention is in a first aspect, provide a kind of data processing method, comprising:
The first data requirements of the first user is obtained, and according to needed for first data requirements retrieval, first user
Target data set；
The second data requirements of first user is obtained, and according to second data requirements to the target data set
The matching analysis is carried out, each target data is obtained and concentrates the target data for meeting second data requirements；
It determines the corresponding data label of the target data, and the data label is sent to first user, with
So that first user carries out data selection according to the data label, and feed back selection result；
The selection result of first user feedback is received, and the selection result is sent to corresponding second user,
So that the second user carries out data packing according to the selection result, and feed back the data subset after being packaged；
The data subset of the second user feedback is received, and the data subset is sent to first user.
Second aspect of the embodiment of the present invention provides a kind of data processing equipment, comprising:
Data set retrieval module, for obtaining the first data requirements of the first user, and according to first data requirements
Target data set needed for retrieving first user；
Target data obtains module, for obtaining the second data requirements of first user, and according to second number
The matching analysis is carried out to the target data set according to demand, each target data concentration is obtained and meets second data requirements
Target data；
Data label sending module, for determining the corresponding data label of the target data, and by the data label
It is sent to first user, so that first user carries out data selection according to the data label, and feeds back selection
As a result；
Data subset packetization module, for receiving the selection result of first user feedback, and by the selection result
It is sent to corresponding second user, so that the second user carries out data packing according to the selection result, and feeds back and beats
Data subset after packet；
Data subset sending module, for receiving the data subset of second user feedback, and by the data subset
It is sent to first user.
The third aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer-readable instruction, realizes when the computer-readable instruction is executed by processor such as aforementioned first aspect institute
The step of stating data processing method.
Fourth aspect of the embodiment of the present invention, provides a kind of terminal device, including memory, processor and is stored in institute
The computer-readable instruction that can be run in memory and on the processor is stated, the processor executes described computer-readable
Following steps are realized when instruction:
The first data requirements of the first user is obtained, and according to needed for first data requirements retrieval, first user
Target data set；
The second data requirements of first user is obtained, and according to second data requirements to the target data set
The matching analysis is carried out, each target data is obtained and concentrates the target data for meeting second data requirements；
It determines the corresponding data label of the target data, and the data label is sent to first user, with
So that first user carries out data selection according to the data label, and feed back selection result；
The selection result of first user feedback is received, and the selection result is sent to corresponding second user,
So that the second user carries out data packing according to the selection result, and feed back the data subset after being packaged；
The data subset of the second user feedback is received, and the data subset is sent to first user.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
In the embodiment of the present invention, the preliminary search of target data set can be carried out according to the first data requirements of the first user,
And the accurate matching for carrying out data can be concentrated in target data according to the second data requirements of the first user, to obtain the first user
Actually required target data, and data label corresponding to target data is sent to the first user, for the first user into
The selection of row final data, so that data processing is carried out according to the final choice result of the first user, so that data buying can
Purchase data on demand, improve the flexibility of data trade, farthest to reduce the purchase of extraneous data, reduce data and adopt
The purchase cost of purchaser improves the purchase intention of data buying side, is greatly promoted the flexible development in data trade market.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of one embodiment flow chart of data processing method in the embodiment of the present invention；
Fig. 2, which issues for data processing method a kind of in the embodiment of the present invention in an application scenarios, send selection result to second
The flow diagram of user；
Fig. 3 is that a kind of data processing method issues in another application scenarios and send selection result to the in the embodiment of the present invention
The flow diagram of two users；
Fig. 4 obtains the stream of preprocessed data for data processing method a kind of in the embodiment of the present invention under an application scenarios
Journey schematic diagram；
Fig. 5 is a kind of one embodiment structure chart of data processing equipment in the embodiment of the present invention；
Fig. 6 is a kind of schematic diagram for terminal device that one embodiment of the invention provides.
Specific embodiment
The embodiment of the invention provides a kind of data processing method, processing unit, computer readable storage medium and terminals
Equipment reduces the purchase cost of data buying side for realizing the on-demand purchase of data to improve the flexibility of data trade,
The purchase intention of data buying side is improved, the flexible development in data trade market is promoted.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, the embodiment of the invention provides a kind of data processing method, the data processing method includes:
Step S101, the first data requirements of the first user is obtained, and according to first data requirements retrieval described the
Target data set needed for one user；
The data processing of the embodiment of the present invention can be data trade, and the executing subject of the embodiment of the present invention then can be
Data trade center can be such as the corresponding terminal device in data trade center, and the terminal device includes but is not limited to: service
The equipment such as device, computer, smart phone and tablet computer, wherein the first user can be data buying side, and second user is then
It can be data providing, the data set that data providing provides can provide retrieval by the data trade center, look into
Service is ask, and when data buying side needs procurement data, data buying side then can be to data trade center transmission the
One data requirements to carry out the retrieval of data by the data trade center, such as can be sent out to the data trade center
Send the first procurement demand comprising special key words, the data trade center after receiving first procurement demand,
The retrieval of data set can be carried out, according to the special key words for being included then to retrieve number of targets required for data buying side
Data buying side is fed back to according to collection, and by the target data set retrieved.
Step S102, the second data requirements of first user is obtained, and according to second data requirements to described
Target data set carries out the matching analysis, obtains each target data and concentrates the target data for meeting second data requirements；
In the embodiment of the present invention, first user, i.e., the described data buying side is receiving the data trade center
After the target data set of feedback, then the second data requirements can be determined according to the received target data set of institute, and can will be described
Second data requirements is further sent to the data trade center, and the data trade center then can be based on the received
Second data requirements carries out accurate the matching analysis to target data set, meets second number to obtain each target data concentration
According to the target data of demand, so as to accurately determine the target data currently traded according to the procurement demand of first user,
The extraneous data in current transaction is reduced, the purchase cost of data buying side is reduced.
Step S103, it determines the corresponding data label of the target data, and the data label is sent to described
One user so that first user carries out data selection according to the data label, and feeds back selection result；
For the purchase for being further reduced extraneous data, and then reduce the purchase cost of data buying side, the embodiment of the present invention
In, after being determined that each target data concentration meets the target data of second data requirements, it can first determine that each number of targets
According to corresponding data label, wherein the data label can be the corresponding regional information of target data, type information or product
The corresponding data label of each target data, can be then sent to first user by the attribute informations such as board information, and described first
User then can carry out data selection according to the data label, and feed back last selection result.
In the embodiment of the present invention, the data trade center is going out the first user institute according to procurement demand the matching analysis
After the target data needed, the data label of each target data only is briefly described to first user feedback, and does not feed back
The particular content of each target data, so as to exposure or the leakage etc. for avoiding target data, to meet first use
On the basis of the procurement demand at family, the data safety of the second user is farthest ensured.
Step S104, the selection result of first user feedback is received, and the selection result is sent to corresponding
Second user so that the second user carries out data packing according to the selection result, and feeds back data after being packaged
Collection；
In the embodiment of the present invention, the data trade center after the selection result for receiving first user feedback,
It can determine that first user thinks the objectives data of purchase, and first user can be thought to the objectives number of purchase
According to corresponding second user is sent to, here, first user determined by the data trade center thinks the specific of purchase
Target data is often only corresponding data name of each target data etc., and therefore, the data trade center can be by described first
User thinks that data name corresponding to the objectives data of purchase is sent to corresponding second user, and corresponding second user connects
After receiving each data name, then it can determine the specific data content of each target data, and by the specific data of all target datas
Content carries out unified data and is packaged, to feed back to the data trade center after the data subset that is packaged.
It should be noted that the second user, i.e., the described data providing is right for the safety for ensuring data transmission
The specific data content of all target datas carries out unified data and is packaged after obtaining data subset, can also be to the data
Subset is encrypted, and the data subset after encryption is fed back to the data trade center, to avoid transmitting
Data exposure or leakage in the process etc., to improve the transaction security of data trade.
Further, as shown in Fig. 2, the selection result for receiving first user feedback, and by selection knot
Fruit is sent to corresponding second user, may include:
Step S201, the selection result of first user feedback is received；
Step S202, classify according to default mode classification to the corresponding target data of the selection result, obtain more
A sorting group；
Step S203, it determines the corresponding second user of each sorting group, and each sorting group is respectively sent to institute
Determining second user.
For above-mentioned steps S201 to step S203, it is to be understood that because docked with the data trade center
Two users often and more than one so that the target data matched according to the procurement demand of first user is often
It, therefore,, can after the selection result for receiving first user feedback in the embodiment of the present invention from multiple second users
Classify first, in accordance with default mode classification to the corresponding target data of the selection result, to obtain multiple sorting groups, such as
It can be classified according to second user belonging to each target data to target data corresponding to the selection result, to obtain
Belong to multiple sorting groups of different second users, then can then send the data name of the corresponding target data of each sorting group
To corresponding second user.
For example, in a concrete application scene, when determining that second user belonging to the target data in sorting group A is second
Second user belonging to target data in user A, sorting group B is belonging to the target data in second user B and sorting group C
Second user be second user C when, then the corresponding data name of target data each in sorting group A can be sent to second user
A, the corresponding data name of target data each in sorting group B can be sent to second user B and can be by target each in sorting group C
The corresponding data name of data is sent to second user C.
Further, as shown in figure 3, the selection result for receiving first user feedback, and by selection knot
Fruit is sent to corresponding second user, may include:
Step S301, the selection result of first user feedback is received, and preprocessed data is obtained according to the selection；
Step S302, the preprocessed data is sent to first user, so that first user is handled
Confirmation, and feedback acknowledgment result；
Step S303, when the confirmation result is confirmation processing, the selection result and the preprocessed data are sent out
It send to corresponding second user.
For above-mentioned steps S301 to step S303, it is to be understood that the first user progress data selection is simultaneously anti-
After feedback selection result, if buy selected target data, need the pretreatment according to corresponding to target data toward contact
Data determine that the preprocessed data can be the target data corresponding transaction amount, therefore, the embodiment of the present invention
In, after the selection result for receiving first user feedback, the friendship of this time transaction can be determined according to the selection result
The easy amount of money, and identified transaction amount can be sent to first user, as described in being shown in the transaction amount
On the corresponding terminal device of first user, first user then can be determined whether to need after receiving the transaction amount
Its selected target data is bought, if if desired buying, then can be sent to the data trade center and determine transaction
Confirmation as a result, the data trade center after the confirmation result for receiving confirmation transaction, then can will be selected by first user
The target data selected and the transaction amount of this transaction are sent to corresponding second user, so that corresponding second user can be bright
It knows and knows this trading situation, and prepare specific data content.
Herein, it should be noted that, can also be according to specific needs after first user receives the transaction amount
The selection result of its aforementioned selection is adjusted correspondingly, and to the selection knot after the feedback adjustment of the data trade center
Fruit, the data trade center can then re-start the determination and feedback of transaction amount according to selection result adjusted.
Preferably, described that preprocessed data is obtained according to the selection result in a concrete application scene, it can wrap
It includes:
The preprocessed data is obtained according to following formula:
Wherein, TranSum is preprocessed data, and N is the entry sum of the corresponding target data of selection result, PricenFor
The corresponding matched data of nth target data, QuotietynFor the corresponding predetermined coefficient of nth target data.
Here, the matched data can be the corresponding transaction value of each target data.It, can be according to each second in this scene
The specific requirement of user is the corresponding transaction value and predetermined coefficient of each target data setting in advance, wherein the default system
Count the importance for indicating target data, such as predetermined coefficient corresponding to the higher target data of importance is then bigger, and
Predetermined coefficient corresponding to the lower target data of importance is then smaller.It is understood that the data trade center is connecing
After the selection result for receiving first user feedback, then the settlement price of the corresponding each target data of the selection result can be obtained
Lattice and predetermined coefficient, and the transaction amount of this data trade can be calculated according to each transaction value and corresponding predetermined coefficient.
It, can also be first when the selected target data of the first user is from multiple second users in this scene
The corresponding transaction amount of each second user is respectively obtained according to above-mentioned formula, then by the corresponding transaction amount phase of each second user
Add the final transaction amount this time traded, and final transaction amount is sent to first user, and described first uses
Family determine transaction if, the data trade center then can will target data corresponding with each second user and transaction amount difference
It is sent to corresponding second user, so that each second user carries out the packing of corresponding data subset respectively.
Optionally, described that pre- place is obtained according to the selection result as shown in figure 4, in another concrete application scene
Data are managed, may include:
Step S401, the corresponding history number of processes of each target data in the selection result and the first history match are obtained
Data；
Step S402, the corresponding ad eundem data of each target data in the selection result are determined, and obtain each ad eundem
Second history match data of data；
Step S403, according to the history number of processes, the first history match data and corresponding ad eundem data
The second history match data, obtain the preprocessed data.
Specifically, described according to the history number of processes, the first history match data and corresponding same series
According to the second history match data, obtain the preprocessed data, may include:
The preprocessed data is obtained according to following formula:
Wherein, TranSum is preprocessed data, HistoPriceijIt is gone through for corresponding j-th first of i-th target data
History matched data, HistoWeightijFor the reference weight of corresponding j-th of the first history match data of i-th target data,
HistoNumiFor the corresponding history number of processes of i-th target data, AverPriceiIt is corresponding same for i-th target data
Second history match data of grade data, AverWeightiFor the second history of the corresponding ad eundem data of i-th target data
The reference weight of matched data, QuotietyiFor the corresponding predetermined coefficient of i-th target data, M is the corresponding mesh of selection result
Mark the entry sum of data.
For above-mentioned steps S401 to step S403, it is to be understood that in this scene, the first history match data
It can be historical trading price corresponding to each target data, the second history match data then can be each ad eundem data
Corresponding history is averaged transaction value, and the history number of processes can be the corresponding historical trading number of each target data, institute
The recordable transaction count for saving each target data in data trade center and the transaction value traded every time are stated, while can also be obtained
The history of the corresponding ad eundem data of each target data is averaged transaction value, thus, in carrying out new data trade, when secondary friendship
The transaction value of each target data then can be according to the historical trading number of each target data, historical trading price and corresponding in easily
The history of ad eundem data is averaged transaction value to determine, to realize the transaction value of target data by trade market and transaction feelings
The purpose that condition specifically determines, to improve the flexibility that data trade price determines.
Step S105, it receives the data subset of second user feedback, and the data subset is sent to described the
One user.
It is understood that in the embodiment of the present invention, the data trade center is fed back receiving each second user
Data subset after, then can will be sent to first user after each data subset integration, thus complete when time
Data trade process.It should be noted that the data subset is being sent to first user by the data trade center
Before, it can also be requested to the first user Sending Payments, to request first user to pay corresponding to this data trade
Transaction amount, and the data subset is sent to described first after receiving the transaction amount that first user pays
User, to complete current data trade.
In the embodiment of the present invention, the preliminary inspection of target data set can be carried out according to the first procurement demand of data buying side
Rope, and the accurate matching for carrying out data can be concentrated in target data according to the second procurement demand of data buying side, to be counted
It is sent to data buying side according to the actually required target data in buying side, and by data label corresponding to target data, for
Data buying side carries out the selection of final transaction data, to carry out data friendship according to the final choice result of data buying side
Easily, so that data buying can buy data on demand, the flexibility of data trade is improved, farthest to reduce unrelated number
According to purchase, reduce data buying side purchase cost, raising data buying side purchase intention, be greatly promoted data hand over
The flexible development in easy market.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
A kind of data processing method is essentially described above, a kind of data processing equipment will be described in detail below.
As shown in figure 5, the embodiment of the invention provides a kind of data processing equipment, the data processing equipment includes:
Data set retrieval module 501, for obtaining the first data requirements of the first user, and according to the first data need
Target data set needed for asking retrieval first user；
Target data obtains module 502, for obtaining the second data requirements of first user, and according to described second
Data requirements carries out the matching analysis to the target data set, obtains each target data concentration and meets the second data need
The target data asked；
Data label sending module 503, for determining the corresponding data label of the target data, and by the data mark
Label are sent to first user, so that first user carries out data selection according to the data label, and feed back choosing
Select result；
Data subset packetization module 504 is tied for receiving the selection result of first user feedback, and by the selection
Fruit is sent to corresponding second user, so that the second user carries out data packing according to the selection result, and feeds back
Data subset after packing；
Data subset sending module 505, for receiving the data subset of the second user feedback, and the data are sub
Collection is sent to first user.
Further, the data subset packetization module 504 may include:
Preprocessed data obtains unit, for receiving the selection result of first user feedback, and according to the selection
As a result preprocessed data is obtained；
Confirmation unit is handled, for sending the preprocessed data to first user, so that first user
Carry out processing confirmation, and feedback acknowledgment result；
Preprocessed data transmission unit is used for when the confirmation result is confirmation processing, by the selection result and institute
It states preprocessed data and is sent to corresponding second user.
Preferably, the preprocessed data obtains unit, specifically for obtaining the preprocessed data according to following formula:
Wherein, TranSum is preprocessed data, and N is the entry sum of the corresponding target data of selection result, PricenFor
The corresponding matched data of nth target data, QuotietynFor the corresponding predetermined coefficient of nth target data.
Optionally, the preprocessed data obtains unit, can also include:
First history match data acquisition subelement, for obtaining the corresponding history of each target data in the selection result
Number of processes and the first history match data；
Second history match data acquisition subelement, for determining, each target data is corresponding same in the selection result
Grade data, and obtain the second history match data of each ad eundem data；
Preprocessed data obtains subelement, for according to the history number of processes, the first history match data and
Second history match data of corresponding ad eundem data, obtain the preprocessed data.
Further, the preprocessed data obtains subelement, specifically for obtaining the pretreatment according to following formula
Data:
Wherein, TranSum is preprocessed data, HistoPriceijIt is gone through for corresponding j-th first of i-th target data
History matched data, HistoWeightijFor the reference weight of corresponding j-th of the first history match data of i-th target data,
HistoNumiFor the corresponding history number of processes of i-th target data, AverPriceiIt is corresponding same for i-th target data
Second history match data of grade data, AverWeightiFor the second history of the corresponding ad eundem data of i-th target data
The reference weight of matched data, QuotietyiFor the corresponding predetermined coefficient of i-th target data, M is the corresponding mesh of selection result
Mark the entry sum of data.
Preferably, the data subset packetization module 504 can also include:
Selection result receiving unit, for receiving the selection result of first user feedback；
Target data taxon, for being carried out according to default mode classification to the corresponding target data of the selection result
Classification, obtains multiple sorting groups；
Sorting group transmission unit, for determining the corresponding second user of each sorting group, and by each classification component
It is not sent to identified second user.
Fig. 6 is the schematic diagram for the terminal device that one embodiment of the invention provides.As shown in fig. 6, the terminal of the embodiment is set
Standby 6 include: processor 60, memory 61 and are stored in the meter that can be run in the memory 61 and on the processor 60
Calculation machine readable instruction 62, such as data processor.The processor 60 is realized when executing the computer-readable instruction 62
State the step in each data processing method embodiment, such as step S101 shown in FIG. 1 to step S105.Alternatively, the place
Reason device 60 realizes the function of each module/unit in above-mentioned each Installation practice when executing the computer-readable instruction 62, such as
Module 501 shown in fig. 5 to module 505 function.
Illustratively, the computer-readable instruction 62 can be divided into one or more module/units, one
Or multiple module/units are stored in the memory 61, and are executed by the processor 60, to complete the present invention.Institute
Stating one or more module/units can be the series of computation machine readable instruction section that can complete specific function, the instruction segment
For describing implementation procedure of the computer-readable instruction 62 in the terminal device 6.
The terminal device 6 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 60, memory 61.It will be understood by those skilled in the art that Fig. 6
The only example of terminal device 6 does not constitute the restriction to terminal device 6, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
The processor 60 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 61 can be the internal storage unit of the terminal device 6, such as the hard disk or interior of terminal device 6
It deposits.The memory 61 is also possible to the External memory equipment of the terminal device 6, such as be equipped on the terminal device 6
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 61 can also both include the storage inside list of the terminal device 6
Member also includes External memory equipment.The memory 61 is for storing the computer-readable instruction and terminal device institute
Other programs and data needed.The memory 61 can be also used for temporarily storing the number that has exported or will export
According to.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of data processing method characterized by comprising
The first data requirements of the first user is obtained, and mesh needed for retrieving first user according to first data requirements
Mark data set；
The second data requirements of first user is obtained, and the target data set is carried out according to second data requirements
The matching analysis obtains each target data and concentrates the target data for meeting second data requirements；
It determines the corresponding data label of the target data, and the data label is sent to first user, so that
First user carries out data selection according to the data label, and feeds back selection result；
The selection result of first user feedback is received, and the selection result is sent to corresponding second user, so that
It obtains the second user and data packing is carried out according to the selection result, and feed back the data subset after being packaged；
The data subset of the second user feedback is received, and the data subset is sent to first user.
2. data processing method according to claim 1, which is characterized in that the choosing for receiving first user feedback
Select as a result, and the selection result is sent to corresponding second user, comprising:
The selection result of first user feedback is received, and preprocessed data is obtained according to the selection result；
The preprocessed data is sent to first user, so that first user carries out processing confirmation, and is fed back true
Recognize result；
When the confirmation result is confirmation processing, the selection result and the preprocessed data are sent to corresponding second
User.
3. data processing method according to claim 2, which is characterized in that described to obtain pre- place according to the selection result
Manage data, comprising:
The preprocessed data is obtained according to following formula:
Wherein, TranSum is preprocessed data, and N is the entry sum of the corresponding target data of selection result, PricenFor nth
The corresponding matched data of target data, QuotietynFor the corresponding predetermined coefficient of nth target data.
4. data processing method according to claim 2, which is characterized in that described to obtain pre- place according to the selection result
Manage data, comprising:
Obtain the corresponding history number of processes of each target data in the selection result and the first history match data；
It determines the corresponding ad eundem data of each target data in the selection result, and obtains the second history of each ad eundem data
Matched data；
According to the second history match of the history number of processes, the first history match data and corresponding ad eundem data
Data obtain the preprocessed data.
5. data processing method according to claim 4, which is characterized in that described according to the history number of processes, institute
The the second history match data for stating the first history match data and corresponding ad eundem data, obtain the preprocessed data, packet
It includes:
The preprocessed data is obtained according to following formula:
Wherein, TranSum is preprocessed data, HistoPriceijFor corresponding j-th of first history of i-th target data
With data, HistoWeightijFor the reference weight of corresponding j-th of the first history match data of i-th target data,
HistoNumiFor the corresponding history number of processes of i-th target data, AverPriceiIt is corresponding same for i-th target data
Second history match data of grade data, AverWeightiFor the second history of the corresponding ad eundem data of i-th target data
The reference weight of matched data, QuotietyiFor the corresponding predetermined coefficient of i-th target data, M is the corresponding mesh of selection result
Mark the entry sum of data.
6. data processing method according to any one of claim 1 to 5, which is characterized in that described to receive described first
The selection result of user feedback, and the selection result is sent to corresponding second user, comprising:
Receive the selection result of first user feedback；
Classify according to default mode classification to the corresponding target data of the selection result, obtains multiple sorting groups；
It determines the corresponding second user of each sorting group, and each sorting group is respectively sent to identified second and is used
Family.
7. a kind of data processing equipment characterized by comprising
Data set retrieval module is retrieved for obtaining the first data requirements of the first user, and according to first data requirements
Target data set needed for first user；
Target data obtains module, for obtaining the second data requirements of first user, and according to the second data need
It asks and the matching analysis is carried out to the target data set, obtain each target data and concentrate the mesh for meeting second data requirements
Mark data；
Data label sending module is sent for determining the corresponding data label of the target data, and by the data label
To first user, so that first user carries out data selection according to the data label, and selection result is fed back；
Data subset packetization module is sent for receiving the selection result of first user feedback, and by the selection result
To corresponding second user, so that the second user carries out data packing according to the selection result, and after feeding back packing
Data subset；
Data subset sending module for receiving the data subset of the second user feedback, and the data subset is sent
To first user.
8. a kind of computer readable storage medium, the computer-readable recording medium storage has computer-readable instruction, special
Sign is, the data processing as described in any one of claims 1 to 6 is realized when the computer-readable instruction is executed by processor
The step of method.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer-readable instruction of operation, which is characterized in that the processor realizes following step when executing the computer-readable instruction
It is rapid:
The first data requirements of the first user is obtained, and mesh needed for retrieving first user according to first data requirements
Mark data set；
The second data requirements of first user is obtained, and the target data set is carried out according to second data requirements
The matching analysis obtains each target data and concentrates the target data for meeting second data requirements；
It determines the corresponding data label of the target data, and the data label is sent to first user, so that
First user carries out data selection according to the data label, and feeds back selection result；
The selection result of first user feedback is received, and the selection result is sent to corresponding second user, so that
It obtains the second user and data packing is carried out according to the selection result, and feed back the data subset after being packaged；
The data subset of the second user feedback is received, and the data subset is sent to first user.
10. terminal device according to claim 9, which is characterized in that the selection for receiving first user feedback
As a result, and the selection result is sent to corresponding second user, comprising:
The selection result of first user feedback is received, and preprocessed data is obtained according to the selection result；
The preprocessed data is sent to first user, so that first user carries out processing confirmation, and is fed back true
Recognize result；
When the confirmation result is confirmation processing, the selection result and the preprocessed data are sent to corresponding second
User.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910423188.3A CN110264305B (en) | 2019-05-21 | 2019-05-21 | Data processing method, processing device, storage medium and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910423188.3A CN110264305B (en) | 2019-05-21 | 2019-05-21 | Data processing method, processing device, storage medium and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110264305A true CN110264305A (en) | 2019-09-20 |
| CN110264305B CN110264305B (en) | 2022-05-24 |
Family
ID=67914951
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910423188.3A Active CN110264305B (en) | 2019-05-21 | 2019-05-21 | Data processing method, processing device, storage medium and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110264305B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160225045A1 (en) * | 2015-02-02 | 2016-08-04 | Shopatron, Inc. | Automatic Search of Local Inventory |
| CN106203140A (en) * | 2016-07-15 | 2016-12-07 | 上海数据交易中心有限公司 | Data circulation method based on data structure, device and terminal |
| CN107507062A (en) * | 2017-08-18 | 2017-12-22 | 首媒科技（北京）有限公司 | Product customization method and device |
| CN108595507A (en) * | 2018-03-21 | 2018-09-28 | 上海数据交易中心有限公司 | Data circulation method, apparatus and system, storage medium, terminal |
| CN109767299A (en) * | 2019-01-14 | 2019-05-17 | 海南英赛德信息系统有限公司 | Demand information providing method and device, storage medium and electronic equipment |
-
2019
- 2019-05-21 CN CN201910423188.3A patent/CN110264305B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160225045A1 (en) * | 2015-02-02 | 2016-08-04 | Shopatron, Inc. | Automatic Search of Local Inventory |
| CN106203140A (en) * | 2016-07-15 | 2016-12-07 | 上海数据交易中心有限公司 | Data circulation method based on data structure, device and terminal |
| CN107507062A (en) * | 2017-08-18 | 2017-12-22 | 首媒科技（北京）有限公司 | Product customization method and device |
| CN108595507A (en) * | 2018-03-21 | 2018-09-28 | 上海数据交易中心有限公司 | Data circulation method, apparatus and system, storage medium, terminal |
| CN109767299A (en) * | 2019-01-14 | 2019-05-17 | 海南英赛德信息系统有限公司 | Demand information providing method and device, storage medium and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110264305B (en) | 2022-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107895201B (en) | Booking method, system, equipment and storage medium for automatic exchange | |
| KR102286388B1 (en) | Transmission latency leveling apparatuses, methods and systems | |
| CN110503295A (en) | Risk analysis method, device, computing terminal and the storage medium of supply chain finance | |
| CN107748792B (en) | Data retrieval method and device and terminal | |
| US20140040095A1 (en) | Distributed ranking and matching of messages | |
| EP3582112B1 (en) | Optimized data structure | |
| CN108885762B (en) | Method and system for allocating price discovery mechanism in data market | |
| US20220343268A1 (en) | System and Method of Sourcing Materials | |
| CN112270501B (en) | Supply chain logistics cloud system based on software as a service (SaaS) | |
| CN110443670A (en) | A kind of long-range ordering method and device of automatic vending machine | |
| CN109242551A (en) | Sales lead management method, device, medium and electronic equipment based on block chain | |
| CN108765134A (en) | Order data processing method and processing device, electronic equipment, storage medium | |
| CN109242544A (en) | Processing method, device, computer equipment and the storage medium of product information push | |
| CN109074560A (en) | Payment result information processing method and terminal device | |
| CN106530084B (en) | Information processing method and server | |
| CN116934061A (en) | Block chain-based carbon emission management method, system, equipment and storage medium | |
| CN110264305A (en) | A kind of data processing method, processing unit, storage medium and terminal device | |
| CN106156185A (en) | A kind of service request performs the querying method of state, Apparatus and system | |
| CN112053087B (en) | Complaint work order processing method, device, equipment and storage medium | |
| WO2014023365A1 (en) | Pre-match risk validation of orders | |
| CN106503977A (en) | The processing method of data, system and device | |
| CN110009803A (en) | A kind of computer spare parts and accessories selling system Internet-based | |
| CN106779460A (en) | The energy scheduling method and device of a kind of energy source station | |
| US20160260172A1 (en) | Computerized order matching with fees selectable by participants | |
| KR20170037092A (en) | Execution method for ordering based on a price and electronic device supporting the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220919 Address after: Room 2601 (Unit 07), Qianhai Free Trade Building, No. 3048, Xinghai Avenue, Nanshan Street, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong 518000 Patentee after: Shenzhen Ping An Smart Healthcare Technology Co.,Ltd. Address before: 1-34 / F, Qianhai free trade building, 3048 Xinghai Avenue, Mawan, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong 518000 Patentee before: Ping An International Smart City Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right |