CN109657857A - A kind of essay examination proposition prediction technique and device - Google Patents
A kind of essay examination proposition prediction technique and device Download PDFInfo
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- CN109657857A CN109657857A CN201811539517.2A CN201811539517A CN109657857A CN 109657857 A CN109657857 A CN 109657857A CN 201811539517 A CN201811539517 A CN 201811539517A CN 109657857 A CN109657857 A CN 109657857A
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The present embodiments relate to smart machine field, a kind of essay examination proposition prediction technique and device are disclosed.This method comprises: obtain all current events hot spots in preset current events hotspot database, the current events hot spot that each period occurred is stored in preset current events hotspot database；Obtain the hot value of each current events hot spot in all current events hot spots；Determine the highest target current events hot spot of hot value in all current events hot spots；Proposition is predicted using the corresponding compostion topic of target current events hot spot as essay examination.Implement the embodiment of the present invention, can be improved the forecasting efficiency of essay examination proposition.
Description
Technical field
The present invention relates to smart machine fields, and in particular to a kind of essay examination proposition prediction technique and device.
Background technique
In order to improve the language composition total marks of the examination of student, teachers can as far as possible artificially carry out essay examination proposition pre-
It surveys, and the essay examination proposition that prediction obtains is provided and is practiced to students.But essay examination proposition is carried out by artificial mode
Prediction needs to expend teacher's a large amount of time, energy, and forecasting efficiency is too low.
Summary of the invention
In view of the foregoing drawbacks, the embodiment of the invention discloses a kind of essay examination proposition prediction technique and device, Neng Gouti
The forecasting efficiency of high essay examination proposition.
First aspect of the embodiment of the present invention discloses a kind of essay examination proposition prediction technique, which comprises
All current events hot spots in preset current events hotspot database are obtained, are stored in the preset current events hotspot database
The current events hot spot that each period is occurred；
Obtain the hot value of each current events hot spot in all current events hot spots；
Determine the highest target current events hot spot of hot value described in all current events hot spots；
Proposition is predicted using the corresponding compostion topic of the target current events hot spot as essay examination.
As an alternative embodiment, in first aspect of the embodiment of the present invention, it is described to obtain all current events
The hot value of each current events hot spot in hot spot, comprising:
Obtain the casting quantity Yu online number of clicks of each current events hot spot in all current events hot spots；
The casting quantity and the online number of clicks are weighted and averaged calculating, obtain each current events hot spot
Hot value.
As an alternative embodiment, in first aspect of the embodiment of the present invention, it is described to obtain each current events
After the hot value of hot spot, the method also includes:
Obtain the keyword quantity that each current events hot spot is matched in preset lists of keywords；
The highest target current events hot spot of hot value described in determination all current events hot spots, comprising:
Determine that the keyword quantity reaches multiple current events heat of preset quantity threshold value from all current events hot spots
Point determines the highest target current events hot spot of the hot value from the multiple current events hot spot.
As an alternative embodiment, in first aspect of the embodiment of the present invention, it is described by the target current events heat
Before the corresponding compostion topic of point predicts proposition as essay examination, the method also includes:
Obtain the corresponding key message of the target current events hot spot；
The key message is inputted to the compostion topic recommended models pre-established, it is corresponding to obtain the target current events hot spot
Compostion topic.
As an alternative embodiment, the key message includes described in first aspect of the embodiment of the present invention
The corresponding title of target current events hot spot and story outline information.
Second aspect of the embodiment of the present invention discloses a kind of essay examination proposition prediction meanss, and described device includes:
First acquisition unit, for obtaining all current events hot spots in preset current events hotspot database, the preset current events
The current events hot spot that each period occurred is stored in hotspot database；
Second acquisition unit, for obtaining the hot value of each current events hot spot in all current events hot spots；
Determination unit, for determining the highest target current events hot spot of hot value described in all current events hot spots；
Proposition unit, for predicting proposition for the corresponding compostion topic of the target current events hot spot as essay examination.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the second acquisition unit includes:
Subelement is obtained, for obtaining the casting quantity of each current events hot spot and online click in all current events hot spots
Number；
Computation subunit is obtained for the casting quantity and the online number of clicks to be weighted and averaged calculating
The hot value of each current events hot spot.
As an alternative embodiment, in second aspect of the embodiment of the present invention, described device further include:
Third acquiring unit, for obtaining after the hot value that the computation subunit obtains each current events hot spot
The keyword quantity for taking each current events hot spot to be matched in preset lists of keywords；
The determination unit, specifically for determining that the keyword quantity reaches default from all current events hot spots
Multiple current events hot spots of amount threshold, and the highest target current events of the hot value are determined from the multiple current events hot spot
Hot spot.
As an alternative embodiment, in second aspect of the embodiment of the present invention, described device further include:
4th acquiring unit is used in the proposition unit using the corresponding compostion topic of the target current events hot spot as work
Before text examination prediction proposition, the corresponding key message of the target current events hot spot is obtained；
The proposition unit is also used to the key message inputting the compostion topic recommended models pre-established, obtain
The corresponding compostion topic of the target current events hot spot.
As an alternative embodiment, the key message includes described in second aspect of the embodiment of the present invention
The corresponding title of target current events hot spot and story outline information.
The third aspect of the embodiment of the present invention discloses a kind of essay examination proposition prediction meanss, comprising:
It is stored with the memory of executable program code；
The processor coupled with the memory；
The processor calls the executable program code stored in the memory, executes the embodiment of the present invention the
A kind of essay examination proposition prediction technique disclosed in one side.
Fourth aspect of the embodiment of the present invention discloses a kind of computer readable storage medium, stores computer program, wherein
The computer program makes computer execute a kind of essay examination proposition prediction side disclosed in first aspect of the embodiment of the present invention
Method.
The 5th aspect of the embodiment of the present invention discloses a kind of computer program product, when the computer program product is calculating
When being run on machine, so that the computer executes some or all of any one method of first aspect step.
The aspect of the embodiment of the present invention the 6th disclose a kind of using distribution platform, and the application distribution platform is for publication calculating
Machine program product, wherein when the computer program product is run on computers, so that the computer executes first party
Some or all of any one method in face step.
Compared with prior art, the embodiment of the present invention has the advantages that
In the embodiment of the present invention, by obtaining all current events hot spots in preset current events hotspot database, and obtain each
The hot value of a current events hot spot, and determine the corresponding theme of the highest target current events hot spot of hot value in all current events hot spots
Mesh is that essay examination predicts proposition, can be improved the forecasting efficiency of essay examination proposition.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of flow diagram of essay examination proposition prediction technique disclosed by the embodiments of the present invention；
Fig. 2 is the flow diagram of another essay examination proposition prediction technique disclosed by the embodiments of the present invention；
Fig. 3 is a kind of structural schematic diagram of essay examination proposition prediction meanss disclosed by the embodiments of the present invention；
Fig. 4 is the structural schematic diagram of another essay examination proposition prediction meanss disclosed by the embodiments of the present invention；
Fig. 5 is the structural schematic diagram of another essay examination proposition prediction means disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
It should be noted that term " first ", " second ", " third " in description and claims of this specification,
" 4th " etc. is not use to describe a particular order for distinguishing different objects.The term " includes " of the embodiment of the present invention
" having " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or list
The process, method, system, product or equipment of member those of are not necessarily limited to be clearly listed step or unit, but may include not having
There are other step or units being clearly listed or intrinsic for these process, methods, product or equipment.
The embodiment of the invention discloses a kind of essay examination proposition prediction technique and devices, can be improved essay examination proposition
Forecasting efficiency, be described in detail below in conjunction with attached drawing.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of process signal of essay examination proposition prediction technique disclosed by the embodiments of the present invention
Figure.This method is applied to essay examination proposition prediction meanss, wherein essay examination proposition prediction meanss can be private tutor's machine or
The associated service equipment of the electronic equipments such as habit machine, the embodiment of the present invention are described by executing subject of service equipment, Ying Li
Solution should not constitute any restriction to the implementation process of the embodiment of the present invention.As shown in Figure 1, the essay examination proposition prediction technique
It may comprise steps of:
101, service equipment obtains all current events hot spots in preset current events hotspot database, preset current events hotspot database
In be stored with the current events hot spot that each period occurred.
In the embodiment of the present invention, service equipment is available to acquire the current events hot spot that each period occurred by big data
And store into preset current events hotspot database, essay examination proposition prediction is carried out to obtain current events hot spot at any time.
102, service equipment obtains the hot value of each current events hot spot in all current events hot spots.
In the embodiment of the present invention, the hot value of current events hot spot calculates it using the current events broadcast source that can be touched as foundation
Hot value.Wherein, broadcast source refers to that TV, radio, internet or application push etc. can propagate the current events hot spot
Media bearer.As an alternative embodiment, the calculation of hot value specifically may is that service equipment obtains per a period of time
At least one broadcast source of thing hot spot；Service equipment counts broadcasting of each broadcast source in preset duration to the current events hot spot
Duration, wherein playing duration refers to the duration summation for playing the current events hot spot in preset duration each time；Wherein, when presetting
It refers to that the moment occurs as starting point, using predetermined time as in the period of terminal using the current events hot spot in length；Service equipment is preparatory
It is authoritative according to the official of each broadcast source, corresponding weight coefficient is configured to each broadcast source；Service equipment is according to every
The preconfigured weight coefficient of one broadcast source, is adjusted the playing duration of each broadcast source, obtains each and broadcasts
Put the corresponding target playing duration in source；The corresponding target playing duration of at least one broadcast source is carried out addition by service equipment
It calculates, obtains the hot value of the current events hot spot；Wherein, hot value is playing duration value.
As an alternative embodiment, after executing step 102, service equipment can also be according to hot value from big
All current events hot spots are ranked up to small sequence；Service equipment receives the prediction command information that electronic equipment uploads, from row
The target current events hot spot of preset quantity is determined in all current events hot spots after sequence, to obtain the target current events hot spot of preset quantity
Corresponding multiple compostion topics predict proposition as multiple essay examinations；The prediction proposition of multiple essay examinations is packaged by service equipment
It is sent to electronic equipment, for user's practice.It is appreciated that preset quantity therein can be any one quantity A, but less
In the total quantity of all current events hot spots.For example, all current events hot spots have 100, then preset quantity can only be in 1~100
Any one integer.
Implement the embodiment, all current events hot spots can be ranked up, according to hot value so that user passes through electronics
Equipment obtains multiple examination composition prediction propositions and is practiced, and improves user experience.
103, service equipment determines the highest target current events hot spot of hot value in all current events hot spots.
104, the corresponding compostion topic of target current events hot spot is predicted proposition by service equipment.
As it can be seen that method described in Fig. 1, by obtaining all current events hot spots in preset current events hotspot database, and is obtained
The hot value of each current events hot spot is taken, and determines that the highest target current events hot spot of hot value is corresponding in all current events hot spots
Compostion topic is that essay examination predicts proposition, can be improved the forecasting efficiency of essay examination proposition.
Embodiment two
Referring to Fig. 2, Fig. 2 is the process signal of another essay examination proposition prediction technique disclosed by the embodiments of the present invention
Figure.As shown in Fig. 2, the essay examination proposition prediction technique may comprise steps of:
201, service equipment obtains all current events hot spots in preset current events hotspot database, preset current events hotspot database
In be stored with the current events hot spot that each period occurred.
202, service equipment obtains the casting quantity Yu online number of clicks of each current events hot spot in all current events hot spots.
203, service equipment will broadcast quantity and online number of clicks is weighted and averaged calculating, obtain each current events hot spot
Hot value.
In the embodiment of the present invention, it is believed that the casting quantity of current events hot spot is the first shadow to the influence power of its hot value
Ring power, the online number of clicks of current events hot spot is the second influence power to the influence power of its hot value, and the first influence power and second
Influence power is different.Therefore, service equipment can be different from the corresponding quantitative value configuration of online number of clicks to casting quantity
Weight coefficient casting quantity and online number of clicks are weighted and averaged calculating, obtain the current events and according to weight coefficients
The hot value of hot spot.Wherein, hot value is quantitative value.
204, service equipment obtains the keyword quantity that each current events hot spot is matched in preset lists of keywords.
In the embodiment of the present invention, preset lists of keywords can be the more preset subject key words for meeting teaching material,
So that the current events hot spot more meets composition and examines it is understood that more according to the keyword quantity that preset lists of keywords is matched to
Try the prediction purpose of proposition.Implement the embodiment, it is pre- that essay examination corresponding with the current events hot spot of teaching material fitting can be obtained
Proposition is surveyed, is write a composition teaching and research time and efforts to reduce teachers.
205, service equipment determined from all current events hot spots keyword quantity reach preset quantity threshold value it is multiple when
Thing hot spot determines the highest target current events hot spot of hot value from multiple current events hot spots.
206, service equipment obtains the corresponding key message of target current events hot spot；Wherein, key message includes target current events
The corresponding title of hot spot and story outline information.
207, key message is inputted the compostion topic recommended models pre-established by service equipment, obtains target current events hot spot
Corresponding compostion topic.
In the embodiment of the present invention, the modeling process of the compostion topic recommended models pre-established be may comprise steps of:
Service equipment acquisition largely essay examination relevant to topical news really inscribe, and acquire a large amount of topical news title and story it is big
Guiding principle information；Using the title of a large amount of topical news and story outline information as training data, the topic really inscribed with a large amount of essay examinations
Mesh is obtained as training result, training as topic recommended models.Optionally, service equipment can also acquire in real time it is newest with
The relevant essay examination of topical news is really inscribed, and acquires the title and story outline information of the topical news, to adjust the topic
Recommended models.
As an alternative embodiment, service equipment can also be obtained from the training data of the topic recommended models
At least one target essay examination relevant to topical news in preset time period is really inscribed；Service equipment determines at least one mesh
Mark essay examination really inscribes corresponding subject matter；Service equipment really inscribes progress according to subject matter, at least one target essay examination
Classification, to obtain at least one subject matter classification；Service equipment obtains the corresponding target essay examination of each subject matter classification and really inscribes
Quantity, and the target essay examination for calculating each subject matter classification really inscribes quantity to account at least one above-mentioned target essay examination true
Inscribe the ratio of total quantity；Service equipment determines the examination probability of each subject matter classification according to the ratio of each subject matter classification.
Wherein, subject matter classification can be the subject matters such as prose, narrative or novel.Based on this, after executing step 207, service equipment is also
The subject matter classification of the corresponding compostion topic of available target current events hot spot, and according to subject matter classification, determine the compostion topic
Examination probability；Service equipment judges whether the examination probability reaches default examination probability value；If reaching default examination probability
Value executes step 208.
Implement the embodiment, the subject matter classification of the corresponding compostion topic of the highest current events hot spot of hot value can be obtained,
And according to subject matter classification, the examination probability of the compostion topic is determined, when the examination probability reaches default examination probability value, by this
Compostion topic predicts proposition as essay examination, can be improved the efficiency of essay examination proposition prediction.
208, the corresponding compostion topic of target current events hot spot is predicted proposition by service equipment.
As it can be seen that method described in Fig. 2, by obtaining all current events hot spots in preset current events hotspot database, and root
Its hot value is determined according to the casting quantity and online number of clicks of each current events hot spot, and is obtained and arranged in preset keyword
The keyword quantity being matched in table reaches multiple current events hot spots of preset quantity threshold value, determines heat from multiple current events hot spots
The highest target current events hot spot of angle value, by its corresponding compostion topic be essay examination predict proposition, can obtain with it is preset
The corresponding essay examination of current events hot spot of lists of keywords fitting predicts proposition, when writing a composition teaching and research so as to reduce teachers
Between and energy.
In addition to this, additionally it is possible to according to subject matter classification, determine the corresponding compostion topic of the highest current events hot spot of hot value
Probability of taking an examination predicts proposition, energy for the compostion topic as essay examination when the examination probability reaches default examination probability value
Enough improve the efficiency of essay examination proposition prediction.
Embodiment three
Referring to Fig. 3, Fig. 3 is a kind of structural representation of essay examination proposition prediction meanss disclosed by the embodiments of the present invention
Figure.As shown in figure 3, the essay examination proposition prediction meanss may include:
First acquisition unit 301, for obtaining all current events hot spots in preset current events hotspot database, preset current events heat
The current events hot spot that each period occurred is stored in point data base.
Second acquisition unit 302, for obtaining the hot value of each current events hot spot in all current events hot spots.
Determination unit 303, for determining the highest target current events hot spot of hot value in all current events hot spots.
Proposition unit 304, for predicting proposition for the corresponding compostion topic of target current events hot spot as essay examination.
As an alternative embodiment, essay examination proposition prediction meanss shown in Fig. 3 can also include it is following not
The unit of diagram:
Sequencing unit, for obtaining the hot value of each current events hot spot in all current events hot spots in second acquisition unit 302
Later, all current events hot spots are ranked up according to the sequence of hot value from big to small.
Receiving unit, for receiving the prediction command information of electronic equipment upload, sometimes from the institute after sequencing unit sequence
The target current events hot spot of preset quantity is determined in thing hot spot；
Correspondingly, above-mentioned proposition unit is also used to obtain the corresponding multiple compositions of target current events hot spot of preset quantity
Topic predicts proposition as multiple essay examinations.
Transmission unit, for the prediction proposition of multiple essay examinations to be transmitted electron equipment, for user's practice.
Implement the embodiment, all current events hot spots can be ranked up, according to hot value so that user passes through electronics
Equipment obtains multiple examination composition prediction propositions and is practiced, and improves user experience.
As it can be seen that essay examination proposition prediction meanss shown in Fig. 3, all in preset current events hotspot database by obtaining
Current events hot spot, and the hot value of each current events hot spot is obtained, and determine the highest target of hot value in all current events hot spots
The corresponding compostion topic of current events hot spot is that essay examination predicts proposition, can be improved the forecasting efficiency of essay examination proposition.
Example IV
Referring to Fig. 4, Fig. 4 is the structural representation of another essay examination proposition prediction meanss disclosed by the embodiments of the present invention
Figure.Wherein, it is excellent to be that essay examination proposition prediction meanss as shown in Figure 3 carry out for essay examination proposition prediction meanss shown in Fig. 4
What change obtained, compared with Fig. 3, in essay examination proposition prediction meanss shown in Fig. 4, above-mentioned second acquisition unit 302 can
To include:
Subelement 3021 is obtained, for obtaining the casting quantity of each current events hot spot and online click in all current events hot spots
Number.
Computation subunit 3022 is weighted and averaged calculating for that will broadcast quantity and online number of clicks, obtains each
The hot value of current events hot spot.
As an alternative embodiment, essay examination proposition prediction meanss shown in Fig. 4 can also include:
Third acquiring unit 305, for obtaining after the hot value that computation subunit 3022 obtains each current events hot spot
The keyword quantity that each current events hot spot is matched in preset lists of keywords.
Above-mentioned determination unit 303, specifically for determining that keyword quantity reaches present count from all current events hot spots
Multiple current events hot spots of threshold value are measured, and determine the highest target current events hot spot of hot value from multiple current events hot spots.
4th acquiring unit 306 is used in proposition unit 304 using the corresponding compostion topic of target current events hot spot as composition
Before examination prediction proposition, the corresponding key message of target current events hot spot is obtained；Wherein, key message includes target current events hot spot
Corresponding title and story outline information.
Above-mentioned proposition unit 304 is also used to key message inputting the compostion topic recommended models pre-established, obtain
The corresponding compostion topic of target current events hot spot.
In the embodiment of the present invention, optionally, essay examination proposition prediction meanss shown in Fig. 4 can also include (not shown)
Modeling unit is really inscribed for acquiring largely essay examination relevant to topical news, and acquire a large amount of topical news title and
Story outline information；It is true with a large amount of essay examinations using the title of a large amount of topical news and story outline information as training data
The topic of topic is obtained as training result, training as topic recommended models.
As an alternative embodiment, essay examination proposition prediction meanss shown in Fig. 4 can also include it is following not
The unit of diagram:
Probability analysis unit, for obtaining the subject matter classification of the corresponding compostion topic of target current events hot spot, and according to topic
Material classification determines the examination probability of the compostion topic；
Judging unit, for judging whether the examination probability reaches default examination probability value；
Correspondingly, above-mentioned proposition unit, specifically for judging that the examination probability reaches default examination in judging unit
When probability value, proposition is predicted using the corresponding compostion topic of target current events hot spot as essay examination.
Implement the embodiment, the subject matter classification of the corresponding compostion topic of the highest current events hot spot of hot value can be obtained,
And according to subject matter classification, the examination probability of the compostion topic is determined, when the examination probability reaches default examination probability value, by this
Compostion topic predicts proposition as essay examination, can be improved the efficiency of essay examination proposition prediction.
As it can be seen that essay examination proposition prediction meanss shown in Fig. 4, all in preset current events hotspot database by obtaining
Current events hot spot, and its hot value is determined according to the casting quantity of each current events hot spot and online number of clicks, and obtain
The keyword quantity being matched in preset lists of keywords reaches multiple current events hot spots of preset quantity threshold value, from multiple current events
The highest target current events hot spot of hot value is determined in hot spot, is that essay examination predicts proposition, energy by its corresponding compostion topic
It is enough to obtain essay examination prediction proposition corresponding with the current events hot spot that preset lists of keywords is bonded, so as to improve composition
The efficiency of set examination papers prediction, writes a composition teaching and research time and efforts meanwhile, it is capable to reduce teachers.
In addition to this, additionally it is possible to according to subject matter classification, determine the corresponding compostion topic of the highest current events hot spot of hot value
Probability of taking an examination predicts proposition, energy for the compostion topic as essay examination when the examination probability reaches default examination probability value
Enough improve the efficiency of essay examination proposition prediction.
Embodiment five
Referring to Fig. 5, Fig. 5 is the structural representation of another essay examination proposition prediction means disclosed by the embodiments of the present invention
Figure.As shown in figure 5, the essay examination proposition prediction meanss may include:
It is stored with the memory 501 of executable program code；
The processor 502 coupled with memory 501；
Wherein, processor 502 calls the executable program code stored in memory 501, and it is any one to execute FIG. 1 to FIG. 2
Kind essay examination proposition prediction technique.
The embodiment of the present invention discloses a kind of computer readable storage medium, stores computer program, wherein the computer
Program makes computer execute any one essay examination proposition prediction technique of FIG. 1 to FIG. 2.
A kind of computer program product is also disclosed in the embodiment of the present invention, wherein when computer program product on computers
When operation, so that computer executes some or all of the method in such as above each method embodiment step.
The embodiment of the present invention is also disclosed a kind of using distribution platform, wherein using distribution platform for issuing computer journey
Sequence product, wherein when computer program product is run on computers, so that computer executes such as the above each method embodiment
In some or all of method step.
In various embodiments of the present invention, it should be appreciated that magnitude of the sequence numbers of the above procedures are not meant to execute suitable
Successively, the execution sequence of each process should be determined by its function and internal logic the certainty of sequence, without coping with the embodiment of the present invention
Implementation process constitutes any restriction.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be object unit, can be in one place, or may be distributed over multiple networks
On unit.Some or all of units can be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
In addition, each functional unit in various embodiments of the present invention can integrate in one processing unit, it is also possible to
Each unit physically exists alone, and can also be integrated in one unit with two or more units.Above-mentioned integrated unit
Both it can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product,
It can store in a retrievable memory of computer.Based on this understanding, technical solution of the present invention substantially or
Person says all or part of of the part that contributes to existing technology or the technical solution, can be in the form of software products
It embodies, which is stored in a memory, including several requests are with so that a computer is set
Standby (can be personal computer, server or network equipment etc., specifically can be the processor in computer equipment) executes
Some or all of each embodiment above method of the invention step.
In embodiment provided by the present invention, it should be appreciated that " B corresponding with A " indicates that B is associated with A, can be with according to A
Determine B.It is also to be understood that determine that B is not meant to determine B only according to A according to A, it can also be according to A and/or other information
Determine B.
Those of ordinary skill in the art will appreciate that some or all of in the various methods of above-described embodiment step be can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium include read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One-
Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact
Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can
For carrying or any other computer-readable medium of storing data.
A kind of essay examination proposition prediction technique disclosed by the embodiments of the present invention and device are described in detail above,
Used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only used
In facilitating the understanding of the method and its core concept of the invention；At the same time, for those skilled in the art, according to the present invention
Thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as
Limitation of the present invention.
Claims (10)
1. a kind of essay examination proposition prediction technique, which is characterized in that the described method includes:
All current events hot spots in preset current events hotspot database are obtained, are stored in the preset current events hotspot database each
The current events hot spot that period is occurred；
Obtain the hot value of each current events hot spot in all current events hot spots；
Determine the highest target current events hot spot of hot value described in all current events hot spots；
Proposition is predicted using the corresponding compostion topic of the target current events hot spot as essay examination.
2. the method according to claim 1, wherein described obtain each current events heat in all current events hot spots
The hot value of point, comprising:
Obtain the casting quantity Yu online number of clicks of each current events hot spot in all current events hot spots；
The casting quantity and the online number of clicks are weighted and averaged calculating, obtain the heat of each current events hot spot
Angle value.
3. according to the method described in claim 2, it is characterized in that, the hot value for obtaining each current events hot spot it
Afterwards, the method also includes:
Obtain the keyword quantity that each current events hot spot is matched in preset lists of keywords；
The highest target current events hot spot of hot value described in determination all current events hot spots, comprising:
Determine that the keyword quantity reaches multiple current events hot spots of preset quantity threshold value from all current events hot spots, from
The highest target current events hot spot of the hot value is determined in the multiple current events hot spot.
4. described in any item methods according to claim 1~3, which is characterized in that described that the target current events hot spot is corresponding
Compostion topic as essay examination predict proposition before, the method also includes:
Obtain the corresponding key message of the target current events hot spot；
The key message is inputted to the compostion topic recommended models pre-established, obtains the corresponding work of the target current events hot spot
Literary topic.
5. according to the method described in claim 4, it is characterized in that, the key message includes that the target current events hot spot is corresponding
Title and story outline information.
6. a kind of essay examination proposition prediction meanss, which is characterized in that described device includes:
First acquisition unit, for obtaining all current events hot spots in preset current events hotspot database, the preset current events hot spot
The current events hot spot that each period occurred is stored in database；
Second acquisition unit, for obtaining the hot value of each current events hot spot in all current events hot spots；
Determination unit, for determining the highest target current events hot spot of hot value described in all current events hot spots；
Proposition unit, for predicting proposition for the corresponding compostion topic of the target current events hot spot as essay examination.
7. device according to claim 6, which is characterized in that the second acquisition unit includes:
Subelement is obtained, for obtaining the casting quantity of each current events hot spot and online click time in all current events hot spots
Number；
Computation subunit, for the casting quantity and the online number of clicks to be weighted and averaged calculating, described in acquisition
The hot value of each current events hot spot.
8. device according to claim 7, which is characterized in that described device further include:
Third acquiring unit, for obtaining institute after the hot value that the computation subunit obtains each current events hot spot
State the keyword quantity that each current events hot spot is matched in preset lists of keywords；
The determination unit, specifically for determining that the keyword quantity reaches preset quantity from all current events hot spots
Multiple current events hot spots of threshold value, and the highest target current events heat of the hot value is determined from the multiple current events hot spot
Point.
9. according to the described in any item devices of claim 6~8, which is characterized in that described device further include:
4th acquiring unit, for being examined in the proposition unit using the corresponding compostion topic of the target current events hot spot as composition
Before examination prediction proposition, the corresponding key message of the target current events hot spot is obtained；
The proposition unit, is also used to input the key message compostion topic recommended models that pre-establish, described in acquisition
The corresponding compostion topic of target current events hot spot.
10. device according to claim 9, which is characterized in that the key message includes the target current events hot spot pair
The title and story outline information answered.
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| CN104102681A (en) * | 2013-04-15 | 2014-10-15 | 腾讯科技（深圳）有限公司 | Microblog key event acquiring method and device |
| CN104657496A (en) * | 2015-03-09 | 2015-05-27 | 杭州朗和科技有限公司 | Method and equipment for calculating information hot value |
| CN107291680A (en) * | 2017-05-09 | 2017-10-24 | 毛姗婷 | A kind of system and implementation method that automatically generate composition based on template |
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Application publication date: 20190419 |