CN107169027A - A kind of big data processing method and processing device - Google Patents
A kind of big data processing method and processing device Download PDFInfo
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- CN107169027A CN107169027A CN201710238551.5A CN201710238551A CN107169027A CN 107169027 A CN107169027 A CN 107169027A CN 201710238551 A CN201710238551 A CN 201710238551A CN 107169027 A CN107169027 A CN 107169027A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Abstract
The invention discloses a kind of big data processing method and processing device, it is related to Data Mining, the problem of to solve rapidly and accurately determine the evaluation user of pending problem in the prior art.This method includes：Reception processing is asked, asked according to the processing, each user data in the multiple user data counted in advance is matched with the data of the pending problem, if during the data match of at least one data and the pending problem in the user data, the user is defined as the first user, multiple first user data are matched with the data of the pending problem, if during the data match of at least two item datas and the pending problem in first user data, first user is defined as into second user；Multiple second user data are matched with the data of the pending problem, if the total data in the second user data is matched completely with the data of the pending problem, the second user is defined as the 3rd user.
Description
Technical field
The present invention relates to Data Mining, a kind of big data processing method and processing device is more particularly related to.
Background technology
In current scientific research R＆D process, for some pending problem, generally require to elect some evaluation users
The pending problem is evaluated.Specifically, existing competition user is generally determined by the method artificially screened.
But, in artificial screening process, due to without clearly screening specification and the accuracy artificially screened and can
It is not high by property, it is often possible to cause that the research field of the user filtered out and pending problem is inconsistent, arrangement of time is clashed
The problems such as, the waste of a large amount of human and material resources is caused, the efficiency of scientific research task evaluation is reduced.
In summary, in the prior art, it is impossible to rapidly and accurately determine the evaluation user of pending problem.
The content of the invention
The embodiment of the present invention provides a kind of big data processing method and processing device, to solve in the prior art can not quick standard
The problem of really determining the evaluation user of pending problem.
The embodiment of the present invention provides a kind of method of big data processing, including：
Reception processing is asked, and the data of pending problem are carried in the processing request, and the data of the pending problem include
The research field of the pending problem, pending unit information and evaluation temporal information；
Asked according to the processing, by each user data in the multiple user data counted in advance and the pending class
The data of topic are matched, if during the data match of at least one data and the pending problem in the user data,
The user is defined as the first user, the user data includes the user study field, affiliated unit's information, time peace
Arrange information；
Multiple first user data are matched with the data of the pending problem, if first user data
In at least two item datas and the pending problem data match when, first user is defined as second user；
Multiple second user data are matched with the data of the pending problem, if the second user data
In total data matched completely with the data of the pending problem, the second user is defined as the 3rd user；
3rd user is defined as targeted customer, the targeted customer is the evaluation user of pending problem.
Preferably, if the data match of at least one data and the pending problem in the user data
When, the user is defined as the first user, specifically included：
When the user study problem belongs to same research field with the pending problem, the user is defined as first
User；Or
When the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first use
Family；Or
When the customer timeline and the evaluation time match of the pending problem, the user is defined as the first use
Family；Or
The user study problem belongs to same research field, and the user affiliated unit and institute with the pending problem
When stating the pending unit matching of pending problem, the user is defined as the first user；Or
The user study problem belongs to same research field, and the customer timeline and institute with the pending problem
When stating the evaluation time match of pending problem, the user is defined as the first user；Or
The user affiliated unit matches with the pending unit, and the arrangement of time of the user and the pending problem
Evaluation time match when, the user is defined as the first user；Or
The user study problem belongs to same research field, and the user affiliated unit and institute with the pending problem
, will when stating the matching of pending unit, the arrangement of time of the user and the evaluation time match of the pending problem of pending problem
The user is defined as the first user.
Preferably, if at least two item datas and the data phase of the pending problem in first user data
Timing, is defined as second user by first user, specifically includes：
The first user study problem belongs to same research field with the pending problem, and belonging to first user
When unit is matched with the pending unit of the pending problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and first user time with the pending problem
When arranging the evaluation time match with the pending problem, first user is defined as second user；Or
The first user affiliated unit matches with the pending unit, and the arrangement of time of first user with it is described
During the evaluation time match of pending problem, first user is defined as second user；Or
The first user study problem belongs to same research field with the pending problem, and belonging to first user
Unit is matched with the pending unit of the pending problem, the evaluation of the arrangement of time of first user and the pending problem when
Between when matching, first user is defined as second user.
Preferably, if the total data in the second user data is matched completely with the data of the pending problem
When, the second user is defined as the 3rd user, including：
The second user research topic and the pending problem belong to same research field, single belonging to the second user
Position is matched with the pending unit of the pending problem, the evaluation time of the second user arrangement of time and the pending problem
Timing, the 3rd user is defined as by the second user.
Preferably, it is characterised in that the free time information of the schedule information of the user including the user and
The busy temporal information of the user；The evaluation time match of the time of the user and the pending problem is specifically, described
The free time of user includes the evaluation time of the pending problem.
The embodiment of the present invention provides a kind of device of big data processing, including：
Receiving module, for reception processing request, carries the data of pending problem, the pending class in the processing request
The data of topic include the research field of the pending problem, pending unit information and evaluation temporal information；
First matching module, for being asked according to the processing, by each use in the multiple user data counted in advance
User data is matched with the data of the pending problem；
First determining module, if the data match of at least one data and the pending problem in the user data
When, the user is defined as the first user, the user data include the user study field, affiliated unit's information, when
Between arrangement information；
Second matching module, for multiple first user data to be matched with the data of the pending problem；
Second determining module, if at least two item datas in first user data and the number of the pending problem
During according to matching, first user is defined as second user；
3rd matching module, for multiple second user data to be matched with the data of the pending problem；
3rd determining module, if the data for the total data in the second user data and the pending problem are complete
Full matching, the 3rd user is defined as by the second user；
4th determining module, for the 3rd user to be defined as into targeted customer, the targeted customer is pending problem
Evaluation user.
Preferably, first determining module is used for：
When the user study problem belongs to same research field with the pending problem, the user is defined as first
User；Or
When the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first use
Family；Or
When the customer timeline and the evaluation time match of the pending problem, the user is defined as the first use
Family；Or
The user study problem belongs to same research field, and the user affiliated unit and institute with the pending problem
When stating the pending unit matching of pending problem, the user is defined as the first user；Or
The user study problem belongs to same research field, and the customer timeline and institute with the pending problem
When stating the evaluation time match of pending problem, the user is defined as the first user；Or
The user affiliated unit matches with the pending unit, and the arrangement of time of the user and the pending problem
Evaluation time match when, the user is defined as the first user；Or
The user study problem belongs to same research field, and the user affiliated unit and institute with the pending problem
, will when stating the matching of pending unit, the arrangement of time of the user and the evaluation time match of the pending problem of pending problem
The user is defined as the first user.
Preferably, second determining module is used for：
The first user study problem belongs to same research field with the pending problem, and belonging to first user
When unit is matched with the pending unit of the pending problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and first user time with the pending problem
When arranging the evaluation time match with the pending problem, first user is defined as second user；Or
The first user affiliated unit matches with the pending unit, and the arrangement of time of first user with it is described
During the evaluation time match of pending problem；Or
When the first user study problem and the pending problem belong to same research field, and the first user institute
Category unit is matched with the pending unit of the pending problem, the evaluation of the arrangement of time of first user and the pending problem
Time match, first user is defined as second user.
Preferably, the 3rd determining module is used for：
The second user research topic and the pending problem belong to same research field, single belonging to the second user
Position is matched with the pending unit of the pending problem, the evaluation time of the second user arrangement of time and the pending problem
Timing, the 3rd user is defined as by the second user.
Preferably, the schedule information of the user includes the free time information of the user and doing for the user
Commonplace temporal information；The evaluation time match of the time of the user and the pending problem is specifically, during the free time of the user
Between include the evaluation time of the pending problem..
In the embodiment of the present invention, asked according to the processing received, inquire about the user data of each user counted in advance, from
The first user is determined in the user data counted in advance, second user is determined from the first user, is determined from second user
Three users, using the 3rd user as the evaluation user of pending problem technical scheme, without manually being screened, and can be quick
The evaluation user of pending problem, and then the resource that uses manpower and material resources sparingly are accurately determined out, the efficiency of problem evaluation is effectively improved.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of big data processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of block diagram of big data processing unit provided in an embodiment of the present invention.
Embodiment
The embodiment of the present invention provides a big data processing method, including：Reception processing is asked, and is carried and is treated in processing request
The data of problem are examined, the data of the pending problem include the research field of the pending problem, pending unit information and evaluation time
Information；Asked according to the processing, by each user data in the multiple user data counted in advance and the number of the pending problem
According to being matched, if in the user data at least one of the data match of data and the pending problem when, the user is true
It is set to the first user, the user data includes the user study field, affiliated unit's information, schedule information；It is somebody's turn to do multiple
First user data is matched with the data of the pending problem, if at least two item datas in first user data are treated with this
When examining the data match of problem, first user is defined as second user；Multiple second user data are pending with this
The data of problem are matched, if the total data in the second user data is matched completely with the data of the pending problem, will
The second user is defined as the 3rd user；3rd user is defined as targeted customer, the targeted customer comments for pending problem
Examine user.So as to the problem of solving rapidly and accurately determine the evaluation user of pending problem in the prior art.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The schematic flow sheet for showing a kind of big data processing method provided in an embodiment of the present invention exemplary Fig. 1, should
Method may at least apply in the determination of pending problem reviewer.
As shown in figure 1, a kind of big data processing method provided in an embodiment of the present invention comprises the following steps：
Step 101, reception processing is asked, and the data of pending problem, the data of the pending problem are carried in processing request
Include the research field of the pending problem, pending unit information and evaluation temporal information.
In actual process of scientific research, it is determined that before studying a certain problem, it is thus necessary to determine that go out some evaluation users and come
The problem is evaluated.In the present embodiment, the pending problem is the problem for needing to evaluate, and the pending unit is that application is ground
Study carefully the unit of the pending problem, the evaluation time is the time evaluated to the pending problem.
Step 102, each user data and the data of the pending problem in the multiple user data counted in advance are entered
Row is matched, if during the data match of at least one data and the pending problem in the user data, the user is defined as
First user.
Wherein, user data includes the user study field, affiliated unit's information, schedule information.
If in addition, during data match of at least one in the user data with the pending problem, the user is determined
For the first user, following form is specifically included：
1) when, the user study problem and the pending problem belong to same research field, the user is defined as the first use
Family；
2) when, the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first user；
Wherein, user affiliated unit matches with the pending unit of the pending problem and is embodied as, user affiliated unit with
The pending unit of pending problem is different, and limits the user affiliated unit and the pending unit difference of the pending problem and can prevent
The conflict of interest is produced, the reliability of evaluation is improved.
3), the customer timeline and during the evaluation time match of the pending problem, the first user is defined as by the user；
4), the user study problem and the pending problem belong to same research field, and the user affiliated unit treats with this
When examining the pending unit matching of problem, the user is defined as the first user；
5), the user study problem and the pending problem belong to same research field, and the customer timeline is treated with this
When examining the evaluation time match of problem, the user is defined as the first user；
6), the user affiliated unit is matched with the pending unit, and the arrangement of time of the user and the pending problem are commented
When examining time match, the user is defined as the first user；
7), the user study problem and the pending problem belong to same research field, and the user affiliated unit treats with this
It is when examining the evaluation time match of the matching of pending unit, the arrangement of time of the user and the pending problem of problem, the user is true
It is set to the first user.
In practical application, the user data of each user can rely on computer technology, create corresponding experts database, so that
Realize and storage and maintenance is carried out to the user basic information in user data, specifically, in practical application scene, the number of users
According to can specifically include：The essential informations such as name, academic title, research direction, the telephone number of user.
Step 103, multiple first user data are matched with the data of the pending problem, if first number of users
During the data match of at least two item datas and the pending problem in, first user is defined as second user.
Wherein, if at least two in first user data with the data match of the pending problem, by this first
User is defined as second user, specifically includes：
1), when the first user study problem and the pending problem belong to same research field, and belonging to first user
Unit is matched with the pending unit of the pending problem, and first user is defined as into second user；
2), when the first user study problem and the pending problem belong to same research field, and first user time
The evaluation time match with the pending problem is arranged, first user is defined as second user；
3), when the first user affiliated unit matches with the pending unit, and the arrangement of time of first user is treated with this
The evaluation time match of problem is examined, first user is defined as second user；
4), when the first user study problem and the pending problem belong to same research field, and belonging to first user
Unit is matched with the pending unit of the pending problem, the evaluation time of the arrangement of time of first user and the pending problem
Match somebody with somebody, first user is defined as second user.
Step 104, multiple second user data are matched with the data of the pending problem, if the second user number
Total data in is matched completely with the data of the pending problem, and the second user is defined as into the 3rd user.
Wherein, if the total data in the second user data is matched completely with the data of the pending problem, by this
Two users are defined as the 3rd user, including：
The second user research topic belongs to same research field, the second user affiliated unit with being somebody's turn to do with the pending problem
The pending unit matching of pending problem, the evaluation time match of the second user arrangement of time and the pending problem, by this second
User is defined as the 3rd user.
It should be noted that in order to improve the evaluation user's efficiency rapidly and accurately determined with pending problem, will be advance
The user of statistics carries out once advance, and the first user is determined from pre-selecting, in the true second user from the first user, then from the
The 3rd user is determined in two users, which determines that evaluation user's is accurate due to being not only increased using principle progressive step by step
Degree, can also improve the efficiency for determining evaluation user.
Step 105, the 3rd user is defined as targeted customer, the targeted customer is the evaluation user of pending problem.
In the embodiment of the present invention, asked according to the processing received, inquire about the user data of each user counted in advance, from
The first user is determined in the user data counted in advance, second user is determined from the first user, is determined from second user
Three users, using the 3rd user as pending problem evaluation user technical scheme, without manually being screened, and quick and precisely
The evaluation user for evaluating pending problem, and then the resource that uses manpower and material resources sparingly are determined in ground, effectively improve the efficiency of problem evaluation.
Based on same inventive concept, the embodiments of the invention provide a kind of device of big data processing, due to the device solution
Certainly the principle of technical problem is similar to a kind of method that big data is handled, therefore the implementation of the device may refer to the reality of method
Apply, repeat part and repeat no more.
Fig. 2 is a kind of big data processing unit block diagram according to an exemplary embodiment.Reference picture 2, the big data
Processing unit includes：
Receiving module 201, for reception processing request, carries the data of pending problem, the pending class in processing request
The data of topic include the research field of the pending problem, when the pending unit information of the pending problem and the evaluation of the pending problem
Between information；
First matching module 202, will be each in the multiple user data counted in advance for being asked according to the processing
User data is matched with the data of the pending problem, and the user data of the user includes the research field of the user, is somebody's turn to do
Affiliated unit's information of user, the schedule information of the user；
First determining module 203, if the data phase of at least one data and the pending problem in the user data
During matching, the user is defined as the first user, the user data, which includes the user study field, affiliated unit, to be believed
Breath, schedule information；
Second matching module 204, for the data of multiple first user data and the pending problem to be carried out
Match somebody with somebody；
Second determining module 205, if at least two item datas in first user data and the pending problem
Data match when, first user is defined as second user；
3rd matching module 206, for the data of multiple second user data and the pending problem to be carried out
Match somebody with somebody；
3rd determining module 207, if the number for the total data in the second user data and the pending problem
According to complete matching, the second user is defined as the 3rd user；
4th determining module 208, for the 3rd user to be defined as into targeted customer, the targeted customer is pending class
The evaluation user of topic.
Alternatively, the first determining module 203 is used for：
When the user study problem and the pending problem belong to same research field, the user is defined as first
User；
When the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first use
Family；
When the customer timeline and the evaluation time match of the pending problem, the user is defined as the first use
Family；
When the user study problem and the pending problem belong to same research field, and the user affiliated unit with
The pending unit matching of the pending problem, the first user is defined as by the user；
When the user study problem and the pending problem belong to same research field, and the customer timeline with
The evaluation time match of the pending problem；
When the user affiliated unit matches with the pending unit, and the arrangement of time of the user and the pending class
The evaluation time match of topic, the first user is defined as by the user；
When the user study problem and the pending problem belong to same research field, and the user affiliated unit with
The matching of pending unit, the arrangement of time of the user and the evaluation time match of the pending problem of the pending problem, will
The user is defined as the first user.
Alternatively, second determining module 205 is used for：
When the first user study problem and the pending problem belong to same research field, and the first user institute
Category unit is matched with the pending unit of the pending problem, and first user is defined as second user；
When the first user study problem and the pending problem belong to same research field, and during first user
Between arrange to be defined as second user with the evaluation time match of the pending problem, first user；
When the first user affiliated unit matches with the pending unit, and arrangement of time and the institute of first user
State the evaluation time match of pending problem；
When the first user study problem and the pending problem belong to same research field, and the first user institute
Category unit is matched with the pending unit of the pending problem, the evaluation of the arrangement of time of first user and the pending problem
Time match, first user is defined as second user.
Alternatively, the 3rd determining module 207 is used for：
The second user research topic and the pending problem belong to same research field, single belonging to the second user
Position is matched with the pending unit of the pending problem, the evaluation time of the second user arrangement of time and the pending problem
Timing, the 3rd user is defined as by the second user.
Alternatively, the schedule information of user includes the free time information of the user and the busy time of the user believes
Breath；The arrangement of time of the user does not conflict with the evaluation time of the pending problem specifically, the free time of the user includes being somebody's turn to do
The evaluation time of pending problem.
In the embodiment of the present invention, asked according to the processing received, inquire about the user data of each user counted in advance, from
The first user is determined in the user data counted in advance, second user is determined from the first user, is determined from second user
Three users, using the 3rd user as pending problem evaluation user technical scheme, without manually being screened, and quick and precisely
The evaluation user for evaluating pending problem, and then the resource that uses manpower and material resources sparingly are determined in ground, effectively improve the efficiency of problem evaluation.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (10)
1. a kind of method of big data processing, it is characterised in that including：
Reception processing is asked, and the data of pending problem is carried in the processing request, the data of the pending problem are including described
The research field of pending problem, pending unit information and evaluation temporal information；
Asked according to the processing, by each user data in the multiple user data counted in advance and the pending problem
Data are matched, if during the data match of at least one data and the pending problem in the user data, by institute
State user and be defined as the first user, the user data includes the user study field, affiliated unit's information, arrangement of time letter
Breath；
Multiple first user data are matched with the data of the pending problem, if in first user data
When at least two item datas and the data match of the pending problem, first user is defined as second user；
Multiple second user data are matched with the data of the pending problem, if in the second user data
Total data is matched completely with the data of the pending problem, and the second user is defined as into the 3rd user；
3rd user is defined as targeted customer, the targeted customer is the evaluation user of pending problem.
2. the method as described in claim 1, it is characterised in that if at least one data and institute in the user data
When stating the data match of pending problem, the user is defined as the first user, specifically included：
When the user study problem belongs to same research field with the pending problem, the user is defined as the first use
Family；Or
When the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first user；
Or
When the customer timeline and the evaluation time match of the pending problem, the user is defined as the first user；
Or
The user study problem belongs to same research field with the pending problem, and the user affiliated unit treats with described
When examining the pending unit matching of problem, the user is defined as the first user；Or
The user study problem belongs to same research field with the pending problem, and the customer timeline is treated with described
When examining the evaluation time match of problem, the user is defined as the first user；Or
The user affiliated unit is matched with the pending unit, and the arrangement of time of the user and the pending problem are commented
When examining time match, the user is defined as the first user；Or
The user study problem belongs to same research field with the pending problem, and the user affiliated unit treats with described
, will be described when examining the matching of pending unit, the arrangement of time of the user and the evaluation time match of the pending problem of problem
User is defined as the first user.
3. the method as described in claim 1, it is characterised in that if at least two item datas in first user data
During with the data match of the pending problem, first user is defined as second user, specifically included：
The first user study problem belongs to same research field, and the first user affiliated unit with the pending problem
When being matched with the pending unit of the pending problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and first customer timeline with the pending problem
During with the evaluation time match of the pending problem, first user is defined as second user；Or
The first user affiliated unit matches with the pending unit, and the arrangement of time of first user with it is described pending
During the evaluation time match of problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and the first user affiliated unit with the pending problem
Matched with the pending unit of the pending problem, the evaluation time of the arrangement of time of first user and the pending problem
Timing, second user is defined as by first user.
4. the method as described in claim 1, it is characterised in that if total data and institute in the second user data
When the data for stating pending problem are matched completely, the second user is defined as the 3rd user, including：
The second user research topic and the pending problem belong to same research field, the second user affiliated unit with
The matching of pending unit, the second user arrangement of time and the evaluation time match of the pending problem of the pending problem
When, the second user is defined as the 3rd user.
5. the method as any one of claim 1-4, it is characterised in that the schedule information of the user includes institute
State the free time information of user and the busy temporal information of the user；The time of the user comments with the pending problem
Time match is examined specifically, the free time of the user includes the evaluation time of the pending problem.
6. a kind of device of big data processing, it is characterised in that including：
Receiving module, for reception processing request, carries the data of pending problem in the processing request, the pending problem
Data include the research field of the pending problem, pending unit information and evaluation temporal information；
First matching module, for being asked according to the processing, by each number of users in the multiple user data counted in advance
Matched according to the data with the pending problem；
First determining module, if in the user data at least one of the data match of data and the pending problem when,
The user is defined as the first user, the user data includes the user study field, affiliated unit's information, time peace
Arrange information；
Second matching module, for multiple first user data to be matched with the data of the pending problem；
Second determining module, if at least two item datas and the data phase of the pending problem in first user data
During matching, first user is defined as second user；
3rd matching module, for multiple second user data to be matched with the data of the pending problem；
3rd determining module, if for the total data in the second user data and complete of the data of the pending problem
Match somebody with somebody, the second user is defined as the 3rd user；
4th determining module, for the 3rd user to be defined as into targeted customer, the targeted customer comments for pending problem
Examine user.
7. device as claimed in claim 6, it is characterised in that first determining module is used for：
When the user study problem belongs to same research field with the pending problem, the user is defined as the first use
Family；Or
When the user affiliated unit matches with the pending unit of the pending problem, the user is defined as the first user；
Or
When the customer timeline and the evaluation time match of the pending problem, the user is defined as the first user；
Or
The user study problem belongs to same research field with the pending problem, and the user affiliated unit treats with described
When examining the pending unit matching of problem, the user is defined as the first user；Or
The user study problem belongs to same research field with the pending problem, and the customer timeline is treated with described
When examining the evaluation time match of problem, the user is defined as the first user；Or
The user affiliated unit is matched with the pending unit, and the arrangement of time of the user and the pending problem are commented
When examining time match, the user is defined as the first user；Or
The user study problem belongs to same research field with the pending problem, and the user affiliated unit treats with described
, will be described when examining the matching of pending unit, the arrangement of time of the user and the evaluation time match of the pending problem of problem
User is defined as the first user.
8. device as claimed in claim 6, it is characterised in that second determining module is used for：
The first user study problem belongs to same research field, and the first user affiliated unit with the pending problem
When being matched with the pending unit of the pending problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and first customer timeline with the pending problem
During with the evaluation time match of the pending problem, first user is defined as second user；Or
The first user affiliated unit matches with the pending unit, and the arrangement of time of first user with it is described pending
During the evaluation time match of problem, first user is defined as second user；Or
The first user study problem belongs to same research field, and the first user affiliated unit with the pending problem
Matched with the pending unit of the pending problem, the evaluation time of the arrangement of time of first user and the pending problem
Timing, second user is defined as by first user.
9. device as claimed in claim 9, it is characterised in that the 3rd determining module is used for：
The second user research topic and the pending problem belong to same research field, the second user affiliated unit with
The matching of pending unit, the second user arrangement of time and the evaluation time match of the pending problem of the pending problem
When, the second user is defined as the 3rd user.
10. the device as any one of claim 6-9, it is characterised in that the schedule information of the user includes
The free time information of the user and the busy temporal information of the user；The time of the user and the pending problem
Time match is evaluated specifically, the free time of the user includes the evaluation time of the pending problem.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710238551.5A CN107169027A (en) | 2017-04-13 | 2017-04-13 | A kind of big data processing method and processing device |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103605665A (en) * | 2013-10-24 | 2014-02-26 | 杭州电子科技大学 | Keyword based evaluation expert intelligent search and recommendation method |
| CN104699689A (en) * | 2013-12-04 | 2015-06-10 | 国家计算机网络与信息安全管理中心 | Data processing method and device |
| US9336310B2 (en) * | 2009-07-06 | 2016-05-10 | Google Inc. | Monitoring of negative feedback systems |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US9336310B2 (en) * | 2009-07-06 | 2016-05-10 | Google Inc. | Monitoring of negative feedback systems |
| CN103605665A (en) * | 2013-10-24 | 2014-02-26 | 杭州电子科技大学 | Keyword based evaluation expert intelligent search and recommendation method |
| CN104699689A (en) * | 2013-12-04 | 2015-06-10 | 国家计算机网络与信息安全管理中心 | Data processing method and device |
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Application publication date: 20170915 |