CN108765221A - Pumping inscribes method and device - Google Patents
Pumping inscribes method and device Download PDFInfo
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- CN108765221A CN108765221A CN201810468084.XA CN201810468084A CN108765221A CN 108765221 A CN108765221 A CN 108765221A CN 201810468084 A CN201810468084 A CN 201810468084A CN 108765221 A CN108765221 A CN 108765221A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000012216 screening Methods 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 5
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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Abstract
This application discloses a kind of pumpings to inscribe method and device.It includes obtaining candidate topic set that the pumping, which inscribes method,；The candidate topic adduction result is calculated according to the topic feature vector of the candidate topic；Judge whether there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result；If it is determined that there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result, then selection meets the candidate topic of the candidate topic assembled scheme.Present application addresses device performance in the related technology it is relatively low and search take longer technical problem.
Description
Technical field
This application involves pumpings to inscribe technical field, and method and device is inscribed in particular to a kind of pumping.
Background technology
It is always the core of those skilled in the art's concern for test papers algorithm and efficiency in examination device technical field
The heart.This is because by carrying out efficient coding retrieval to magnanimity examination question in exam pool, it can shortening group volume response to the greatest extent
Time brings more preferably usage experience.
Currently, the method for compound topic type pumping topic mainly has based on the automatic volume group method randomly selected and based on depth and extensively
Spend the automatic volume group method of searching algorithm.The former becomes larger and slack-off with extracting the scale of construction and examination question radix, is in increasing attenuation, big
Efficiency is very poor in the test item bank of the scale of construction.The latter is although the test papers algorithm based on depth-first alleviates device to a certain extent
The relatively low problem of energy, but this method, when the volume of test item bank is very big, due to lacking Enlightened Search, this method is still
It is time-consuming long to be so easy to cause search, causes the reduced performance of device.
Longer problem is taken with search for device performance in the related technology is relatively low, not yet proposes effective solution at present
Scheme.
Invention content
The main purpose of the application is to provide a kind of pumping topic method, and to solve, device performance is relatively low in the related technology and searches
Rope takes longer problem.
To achieve the goals above, according to the one side of the application, a kind of pumping topic method is provided.
Inscribing method according to the pumping of the application includes：
Obtain candidate topic set；
The candidate topic adduction result is calculated according to the topic feature vector of the candidate topic；
Judge whether there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result；
If it is determined that there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result, then select
Meet the candidate topic of the candidate topic assembled scheme.
Further, the determining candidate topic exam pool includes：
Determination waits for selection topic topic type；
Exam pool is screened according to the selection topic topic type and obtains the selection result, using the selection result as the candidate topic collection
It closes.
Further, the small topic quantity that the topic feature vector is included for every problem.
Further, described to include according to the candidate topic adduction result of topic feature vector calculating：
Candidate topic classification results are obtained according to the topic feature vector；
By the collating sequence of candidate topic classification results described in predetermined order Rule；
The candidate topic adduction result of the collating sequence is calculated by default adduction rule.
Further, the candidate topic that the selection meets the candidate topic combination includes：
Examination question is selected in the candidate topic set by a certain percentage according to the candidate topic assembled scheme, as examination question collection
It closes；
Corresponding examination question is randomly selected in the examination question set as pumping topic result according to the candidate assembled scheme of inscribing.
Further, described that set selection examination question, work are inscribed in candidate according to the candidate topic assembled scheme by a certain percentage
Include for examination question set：
It determines and waits for that quantity is inscribed in selection；
It is total to count topic feature vector in the candidate topic set；
It waits for that selection topic quantity is total with the topic feature vector according to described, calculates random selection range；
Random starting point is chosen within the scope of the random selection, is existed by a certain percentage according to the candidate assembled scheme of inscribing
Candidate's topic set selection examination question, as examination question set.
Further, the certain proportion is 1-4 times.
To achieve the goals above, according to the another aspect of the application, a kind of pumping topic device is provided.
Inscribing device according to the pumping of the application includes：
Candidate's topic collection modules, for obtaining candidate topic；
Feature vector acquisition module, the topic feature vector for obtaining default candidate topic；
Computing module, for calculating candidate topic adduction result according to the topic feature vector；
Judgment module, for judging whether there is the candidate topic group for reaching default selection condition in the candidate topic adduction result
Conjunction scheme；
Decimation block, for if it is determined that having the candidate topic group for reaching default selection condition in the candidate topic adduction result
Conjunction scheme, then selection meet the candidate topic of the candidate topic assembled scheme.
Further, the candidate topic collection modules include：
Topic type unit waits for selection topic topic type for determination；
Topic type screening unit obtains the selection result for screening exam pool according to the selection topic topic type, the screening is tied
Fruit is as the candidate topic set.
Further, the computing module includes：
Taxon, for inscribing classification results according to the topic feature vector acquisition；
Sequencing unit, for by the collating sequence for inscribing classification results described in predetermined order Rule；
Adduction result computing unit, the candidate topic adduction result for calculating the collating sequence by default adduction rule.
In the embodiment of the present application, pumping topic combinational logic is stripped out, independently of data base querying, be used only CPU and
Memory source calculates, and arithmetic speed is fast, no I/O bottleneck.It is mathematical problem pumping topic logical abstraction, simplifies process and improve efficiency.From
And the technique effect of raising group volume efficiency is realized, the random paper of 20 part of 100 topic can be completed in 10 seconds, and then solve
Device performance is relatively low in the related technology and search takes longer technical problem.
Description of the drawings
The attached drawing constituted part of this application is used for providing further understanding of the present application so that the application's is other
Feature, objects and advantages become more apparent upon.The illustrative examples attached drawing and its explanation of the application is for explaining the application, not
Constitute the improper restriction to the application.In the accompanying drawings：
Fig. 1 is to inscribe method flow schematic diagram according to the pumping of the embodiment of the present application；
Fig. 2 is to wait for selection topic topic type flow diagram according to the determination of the embodiment of the present application；
Fig. 3 is the candidate topic adduction result flow diagram according to the embodiment of the present application；
Fig. 4 is to select flow diagram according to the examination question of the embodiment of the present application；
Fig. 5 is the random range flow diagram of determination according to the embodiment of the present application；
Fig. 6 is to inscribe device flow diagram according to the pumping of the embodiment of the present application；
Fig. 7 is the candidate topic collection modules flow diagram according to the embodiment of the present application；And
Fig. 8 is the computing module flow diagram according to the embodiment of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model of the application protection
It encloses.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in Figure 1, inscribing method according to a kind of pumping of the application, it includes step S101 to step S104 which, which inscribes method,.
Step S101 obtains candidate topic set；In this step, the candidate topic set comprising examination question to be selected is obtained first.
Step S102 calculates candidate topic adduction result according to the topic feature vector of the candidate topic；Included every problem
Small topic quantity as the unit of quantity per problem, the unit of quantity of each candidate topic is combined simultaneously by preset adduction rule
Its adduction is calculated as a result, obtaining the adduction result of each candidate topic assembled scheme.
Step S103 judges whether there is the candidate topic combination side for reaching default selection condition in the candidate topic adduction result
Case；In this step, it is the small topic quantity needed for pumping topic to preset selection condition, that is, judges that the small topic of the group synthesis in previous step adds
It closes quantity and whether the small topic quantity needed for pumping topic is consistent.
Step S104, if it is determined that there is the candidate topic combination side for reaching default selection condition in the candidate topic adduction result
Case, then selection meet the candidate topic of the candidate topic assembled scheme.In this step, if the small topic adduction structure of said combination topic
When consistent with the small topic quantity needed for pumping topic, just using this group of synthesis scheme as selection scheme, and the basis in candidate's topic set
Selection scheme selects examination question, and the examination question selected out is the examination question needed.
As shown in Fig. 2, step S101, obtains candidate topic set, specifically includes step S201 to step S202.
Step S201, determination wait for selection topic topic type；In this step, the determining topic type for waiting for selection topic, such as shared item multiple-choice question,
Share stem multiple-choice question or gap-filling questions etc..
Step S202 screens exam pool according to the selection topic topic type and obtains the selection result, using the selection result as institute
State candidate topic set.In this step, according to the topic type that previous step determines, such topic type is screened in exam pool to get to candidate
Topic set.
As shown in figure 3, step S103, candidate topic adduction is calculated as a result, specifically including step according to the topic feature vector
S301 to step S303.
Step S301 obtains candidate topic classification results according to the topic feature vector；In this step, inscribed according to per pass candidate
Including small topic number classify to candidate's topic, for example, the candidate topic comprising 2 small topics is divided into one kind, will include 3 small topics
Candidate topic be divided into one kind etc..
Step S302, by the collating sequence of candidate topic classification results described in predetermined order Rule；In this step, according to
The classification results that previous step obtains are ranked up it, such as the sequence according to candidate quantity of the topic comprising small topic from small to large
The classification results are ranked up, and being shown from left to right.
Step S303 is calculated the candidate topic adduction result of the collating sequence by default adduction rule.In this step, pass through
Preset computation rule calculates come the collating sequence obtained to previous step, to obtain candidate topic adduction result.Such as
There are the candidate topic 3 comprising 2 small topics, the candidate topic 3 comprising 3 small topics in candidate topic exam pool in above-mentioned steps, big topic totally six
Road, when small Ti Gong 15, the calculating process of the adduction rule employed in this step is as follows：
{ 2 small topics inscribe number to cycle-index 1：0,3 small topic inscribes number：0, adduction result：0}
{ 2 small topics inscribe number to cycle-index 2：0,3 small topic inscribes number：1, adduction result：3}
{ 2 small topics inscribe number to cycle-index 3：0,3 small topic inscribes number：2, adduction result：6}
{ 2 small topics inscribe number to cycle-index 4：0,3 small topic inscribes number：3, adduction result：9}
{ 2 small topics inscribe number to cycle-index 5：1,3 small topic inscribes number：0, adduction result：2}
{ 2 small topics inscribe number to cycle-index 6：1,3 small topic inscribes number：1, adduction result：5}
{ 2 small topics inscribe number to cycle-index 7：1,3 small topic inscribes number：2, adduction result：8}
{ 2 small topics inscribe number to cycle-index 8：1,3 small topic inscribes number：3, adduction result：11}
{ 2 small topics inscribe number to cycle-index 9：2,3 small topics inscribe number：0, adduction result：4}
{ 2 small topics inscribe number to cycle-index 10：2,3 small topics inscribe number：1, adduction result：7}
{ 2 small topics inscribe number to cycle-index 11：2,3 small topics inscribe number：2, adduction result：10}
{ 2 small topics inscribe number to cycle-index 12：2,3 small topics inscribe number：3, adduction result：13}
{ 2 small topics inscribe number to cycle-index 13：3,3 small topics inscribe number：0, adduction result：6}
{ 2 small topics inscribe number to cycle-index 14：3,3 small topics inscribe number：1, adduction result：9}
{ 2 small topics inscribe number to cycle-index 15：3,3 small topics inscribe number：2, adduction result：12}
{ 2 small topics inscribe number to cycle-index 16：3,3 small topics inscribe number：3, adduction result：15}
Adduction rule employed in this step inscribes the assembled scheme of number by enumerating each small topic, with the number of each small topic
Amount is the upper limit, by the adduction result of each assembled scheme of calculating of above-mentioned regular cyclic.
As shown in figure 4, step S104, if it is determined that having the time for reaching default selection condition in the candidate topic adduction result
Selected topic assembled scheme, then selection meet candidate the candidate of topic assembled scheme and inscribe, and specifically include step S401 to step S402.
Step S401 inscribes set selection examination question, as examination in candidate by a certain percentage according to the candidate topic assembled scheme
Topic set；In this step, selected in candidate's topic exam pool in 1-4 times of ratio of required volume according to the candidate assembled scheme of inscribing
Examination question when only needing a paper, then can select the topic of 1 times of required volume because the demand of paper needed for user is different
Directly form paper；And when user needs more parts of papers, then 3 times of volume can be selected, the composition base as more parts of papers
Plinth.
Step S402 randomly selects corresponding examination question composition examination according to the candidate assembled scheme of inscribing in the examination question set
Volume.In this step, the examination question set obtained to previous step carries out random selection, with form that more parts of volumes are identical but examination question not
Same paper, meets all kinds of demands of user.
As shown in figure 5, step S401, inscribes set selection in candidate by a certain percentage according to the candidate topic assembled scheme and tries
Topic, as examination question set, specifically includes：Step S501 to step S504.
Step S501 is determined and is waited for that quantity is inscribed in selection；In this step, it is thus necessary to determine that wait for that quantity is inscribed in selection, described waits selecting
Topic quantity is to wait for the small topic quantity of selection topic.
It is total to count topic feature vector in the candidate topic set by step S502；In this step, candidate topic set is counted
Small topic number add up to quantity.
Step S503 waits for that selection topic quantity is total with the topic feature vector according to described, calculates random selection range；?
In this step, a random selection range is determined, the random selection is ranging from：(the small topic number of candidate's topic set is total by 0-
Quantity-waits for the small topic quantity of selection topic), that is, come to inscribe candidate within the above range and carry out random selection.
Step S504 chooses random starting point within the scope of the random selection, is pressed according to the candidate assembled scheme of inscribing
Certain proportion inscribes set selection examination question in candidate, as examination question set.In this step, examination that previous step is randomly selected out
Topic, then once randomly selected and inscribe result to get to pumping.
As shown in fig. 6, device is inscribed according to a kind of pumping of the application, including：
Candidate's topic collection modules 1, for counting all candidate topics and building candidate topic exam pool.
Computing module 2, for calculating candidate topic adduction result according to the topic feature vector；
Judgment module 3, for judging whether there is the candidate topic for reaching default selection condition in the candidate topic adduction result
Assembled scheme；
Decimation block 4, for if it is determined that having the candidate topic for reaching default selection condition in the candidate topic adduction result
Assembled scheme, then selection meet the candidate topic of the candidate topic assembled scheme.
As shown in fig. 7, the candidate topic collection modules 1 include：
Topic type unit A waits for selection topic topic type for determination；
Topic type screening unit B obtains the selection result for screening exam pool according to the selection topic topic type, the screening is tied
Fruit is as the candidate topic set.
As shown in figure 8, the computing module 3 includes：
Taxon C, for inscribing classification results according to the topic feature vector acquisition；
Sequencing unit D, for by the collating sequence for inscribing classification results described in predetermined order Rule；
Adduction result computing unit E, the candidate topic adduction result for calculating the collating sequence by default adduction rule.
The foregoing is merely the preferred embodiments of the application, are not intended to limit this application, for the skill of this field
For art personnel, the application can have various modifications and variations.Within the spirit and principles of this application, any made by repair
Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. a kind of pumping inscribes method method, which is characterized in that including：
Obtain candidate topic set；
The candidate topic adduction result is calculated according to the topic feature vector of the candidate topic；
Judge whether there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result；
If it is determined that there is the candidate topic assembled scheme for reaching default selection condition in the candidate topic adduction result, then satisfaction is selected
The candidate topic of the candidate topic assembled scheme.
2. pumping according to claim 1 inscribes method, which is characterized in that the candidate topic of the acquisition, which is gathered, includes：
Determination waits for selection topic topic type；
Exam pool is screened according to the selection topic topic type and obtains the selection result, using the selection result as the candidate topic set.
3. pumping according to claim 1 inscribes method, which is characterized in that the topic feature vector is small for included per problem
Inscribe quantity.
4. pumping according to claim 1 inscribes method, which is characterized in that calculate institute according to the topic feature vector of the candidate topic
Stating candidate topic adduction result includes：
Candidate topic classification results are obtained according to the topic feature vector；
By the collating sequence of candidate topic classification results described in predetermined order Rule；
The candidate topic adduction result of the collating sequence is calculated by default adduction rule.
5. pumping according to claim 1 inscribes method, which is characterized in that the selection meets the candidate of the candidate topic combination
Topic includes：
Examination question is selected in the candidate topic set by a certain percentage according to the candidate topic assembled scheme, as examination question set；
Corresponding examination question is randomly selected in the examination question set as pumping topic result according to the candidate assembled scheme of inscribing.
6. pumping according to claim 6 inscribes method, which is characterized in that described to be pressed centainly according to the candidate assembled scheme of inscribing
Ratio inscribes set selection examination question in candidate, includes as examination question set：
It determines and waits for that quantity is inscribed in selection；
It is total to count topic feature vector in the candidate topic set；
It waits for that selection topic quantity is total with the topic feature vector according to described, calculates random selection range；
Random starting point is chosen within the scope of the random selection, according to the candidate assembled scheme of inscribing by a certain percentage in candidate
Topic set selection examination question, as examination question set.
7. pumping according to claim 5 inscribes method, which is characterized in that the certain proportion is 1-4 times.
8. a kind of pumping inscribes device, which is characterized in that including：
Candidate's topic collection modules, for obtaining candidate topic；
Computing module, for calculating candidate topic adduction result according to the topic feature vector；
Judgment module, for judging whether there is the candidate topic combination side for reaching default selection condition in the candidate topic adduction result
Case；
Decimation block, for if it is determined that there is the candidate topic combination side for reaching default selection condition in the candidate topic adduction result
Case, then selection meet the candidate topic of the candidate topic assembled scheme.
9. pumping according to claim 8 inscribes device, which is characterized in that the candidate inscribes collection modules and includes：
Topic type unit waits for selection topic topic type for determination；
Topic type screening unit obtains the selection result for screening exam pool according to the selection topic topic type, the selection result is made
For the candidate topic set.
10. pumping according to claim 8 inscribes device, which is characterized in that the computing module includes：
Taxon, for inscribing classification results according to the topic feature vector acquisition；
Sequencing unit, for by the collating sequence for inscribing classification results described in predetermined order Rule；
Adduction result computing unit, the candidate topic adduction result for calculating the collating sequence by default adduction rule.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599107A (en) * | 2008-06-03 | 2009-12-09 | 英业达股份有限公司 | The setting themes dynamically system and method |
| CN105632268A (en) * | 2014-10-28 | 2016-06-01 | 骅钜数位科技有限公司 | Random question choosing system |
| CN106364651A (en) * | 2016-10-10 | 2017-02-01 | 长沙绿航节能科技有限公司 | Comprehensive ship electric propelling system and using method |
| CN106570186A (en) * | 2016-11-11 | 2017-04-19 | 网易（杭州）网络有限公司 | Electronic test paper generation method and apparatus |
| CN106599054A (en) * | 2016-11-16 | 2017-04-26 | 福建天泉教育科技有限公司 | Method and system for title classification and push |
| US20170199928A1 (en) * | 2014-09-29 | 2017-07-13 | Huawei Technologies Co.,Ltd. | Method and device for parsing question in knowledge base |
| CN107220917A (en) * | 2017-06-06 | 2017-09-29 | 高岩峰 | A kind of system for automatically generating survey topic of equal value |
| US20180060279A1 (en) * | 2016-08-28 | 2018-03-01 | Leaderamp, Inc. | System and method for creating a metrological/psychometric instrument |
-
2018
- 2018-05-15 CN CN201810468084.XA patent/CN108765221A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599107A (en) * | 2008-06-03 | 2009-12-09 | 英业达股份有限公司 | The setting themes dynamically system and method |
| US20170199928A1 (en) * | 2014-09-29 | 2017-07-13 | Huawei Technologies Co.,Ltd. | Method and device for parsing question in knowledge base |
| CN105632268A (en) * | 2014-10-28 | 2016-06-01 | 骅钜数位科技有限公司 | Random question choosing system |
| US20180060279A1 (en) * | 2016-08-28 | 2018-03-01 | Leaderamp, Inc. | System and method for creating a metrological/psychometric instrument |
| CN106364651A (en) * | 2016-10-10 | 2017-02-01 | 长沙绿航节能科技有限公司 | Comprehensive ship electric propelling system and using method |
| CN106570186A (en) * | 2016-11-11 | 2017-04-19 | 网易（杭州）网络有限公司 | Electronic test paper generation method and apparatus |
| CN106599054A (en) * | 2016-11-16 | 2017-04-26 | 福建天泉教育科技有限公司 | Method and system for title classification and push |
| CN107220917A (en) * | 2017-06-06 | 2017-09-29 | 高岩峰 | A kind of system for automatically generating survey topic of equal value |
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