CN108491451A - A kind of English reads article and recommends method, apparatus, electronic equipment and storage medium - Google Patents
A kind of English reads article and recommends method, apparatus, electronic equipment and storage medium Download PDFInfo
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Abstract
An embodiment of the present invention provides a kind of English to read article recommendation method, device, electronic equipment and storage medium, in this method, obtain more english articles, determine the word that every english article includes, according to the complexity for the word that every english article includes, determine the article difficulty value of every english article, obtain the target word corresponding to the target student determined according to preset standard, according to the complexity of target word, determine the corresponding article difficulty value range of target student, according to article difficulty value range and the article difficulty value of every english article, candidate's english article is determined from more english articles, according to target word, target english article is determined from candidate english article and recommends target student.The present invention is after the target word for obtaining target student, you can automatically determines target english article from more english articles and recommends target student, realize full-automatic recommendation, recommends compared to artificial, substantially increase recommendation efficiency.
Description
Technical field
The present invention relates to technical field of data processing, read article more particularly to a kind of English and recommend method, apparatus, electricity
Sub- equipment and storage medium.
Background technology
For student in the reading topic for doing english article, the difficulty of english article, can great shadow if appropriate for students ' reading
The learning initiative and learning efficiency of student are rung, therefore, in english teaching, how for student to recommend the suitable English of difficulty
Article is very important.
In the prior art, it according to the English reading ability of each student is each that recommend the method for english article, which be English teacher,
The english article that a student recommends difficulty suitable, this to recommend less efficient.
Invention content
A kind of English of being designed to provide of the embodiment of the present invention reads article and recommends method, apparatus, electronic equipment and to deposit
Storage media, to improve recommendation efficiency.Specific technical solution is as follows：
A kind of English reading article recommendation method, the method includes：
More english articles are obtained, determine the word that every english article includes；
According to the complexity for the word that every english article includes, the article difficulty value of every english article is determined；
Obtain the target word corresponding to the target student determined according to preset standard；
According to the complexity of the target word, the corresponding article difficulty value range of the target student is determined；
According to the article difficulty value range and the article difficulty value of every english article, from the more english articles
Middle determining candidate english article；
According to the target word, determines target english article from the candidate english article and recommend the target
Student.
Optionally, the complexity of the word for including according to every english article, determines the text of every english article
The step of chapter difficulty value, including：
For every english article, the word for including to this english article according to the sequence of word difficulty value from small to large
It is ranked up；
Obtain the word candidate that sequence digit is more than the first presetting digit capacity；
Calculate the first average value of the word difficulty value of all word candidates；
First average value is determined as to the article difficulty value of this english article.
Optionally, the complexity according to the target word determines the corresponding article difficulty of the target student
The step of being worth range, including：
Target word is ranked up according to the sequence of word difficulty value from small to large；
Obtain the reference word that sequence digit is more than the second presetting digit capacity；
Calculate the second average value of all word difficulty values with reference to word；
Calculate the third average value of the word difficulty value of all target words；
According to second average value and the third average value, the corresponding article difficulty value model of the target student is determined
It encloses.
Optionally, described according to the article difficulty value range and the article difficulty value of every english article, from described
The step of candidate's english article is determined in more english articles, including：
From the more english articles, candidate's English that article difficulty value is located within the scope of the article difficulty value is determined
Article.
Optionally, described according to the article difficulty value range and the article difficulty value of every english article, from described
The step of candidate's english article is determined in more english articles, including：
Determine the destination number of the target word；
From the more english articles, determine that the quantity comprising word is the reference english article of the destination number；
From described with reference to the candidate's English in english article, determining that article difficulty value is located within the scope of the article difficulty value
Article.
Optionally, described according to the target word, it determines target english article from the candidate english article and pushes away
The step of recommending to the target student, including：
The word that the target word includes respectively with every candidate english article is compared, determines every candidate English
The corresponding new word ratio of article；
From the candidate english article, the target english article that new word ratio is located in default new word proportional region is determined
And recommend the target student.
A kind of English reading article recommendation apparatus, described device include：
It obtains module and determines the word that every english article includes for obtaining more english articles；
Article difficulty value determining module, the complexity of the word for including according to every english article determine every
The article difficulty value of english article；
Target word obtains module, for obtaining the target word corresponding to the target student determined according to preset standard；
Article difficulty value range determination module determines the target for the complexity according to the target word
Raw corresponding article difficulty value range；
Candidate english article determining module, for the article according to the article difficulty value range and every english article
Difficulty value determines candidate's english article from the more english articles；
Recommending module, for according to the target word, target english article to be determined simultaneously from the candidate english article
Recommend the target student.
Optionally, the article difficulty value determining module, including：
First sequencing unit, for being directed to every english article, according to the sequence of word difficulty value from small to large to the piece
The word that english article includes is ranked up；
Word candidate obtaining unit is more than the word candidate of the first presetting digit capacity for obtaining sequence digit；
First average calculation unit, the first average value of the word difficulty value for calculating all word candidates；
Article difficulty value determination unit, the article difficulty for first average value to be determined as to this english article
Value.
Optionally, the article difficulty value range determination module, including：
Second sequencing unit, for being ranked up to target word according to the sequence of word difficulty value from small to large；
With reference to word obtaining unit, the reference word of the second presetting digit capacity is more than for obtaining sequence digit；
Second average calculation unit, the second average value for calculating all word difficulty values with reference to word；
Third average calculation unit, the third average value of the word difficulty value for calculating all target words；
Article difficulty value range determination unit, for according to second average value and the third average value, determining institute
State the corresponding article difficulty value range of target student.
Optionally, the candidate english article determining module, is specifically used for：
From the more english articles, candidate's English that article difficulty value is located within the scope of the article difficulty value is determined
Article.
Optionally, the candidate english article determining module, including：
Destination number determination unit, the destination number for determining the target word；
With reference to english article determination unit, for from the more english articles, determining that the quantity comprising word is institute
State the reference english article of destination number；
Candidate english article determination unit, for from the reference english article, it is described to determine that article difficulty value is located at
Candidate english article within the scope of article difficulty value.
Optionally, the recommending module, including：
Comparison unit, the word for including with every candidate english article respectively by the target word compare,
Determine the corresponding new word ratio of every candidate's english article；
Recommendation unit, for from the candidate english article, determining that new word ratio is located in default new word proportional region
Target english article and recommend the target student.
A kind of electronic equipment, including processor, communication interface, memory and communication bus, wherein processor, communication connect
Mouthful, memory completes mutual communication by communication bus；
Memory, for storing computer program；
Processor when for executing the computer program stored on memory, realizes any of the above-described method step
Suddenly.
A kind of computer readable storage medium is stored with computer program in the computer readable storage medium, described
Any of the above-described method and step is realized when computer program is executed by processor.
In the embodiment of the present invention, more english articles are obtained, the word that every english article includes are determined, according to every English
The complexity for the word that article includes determines that the article difficulty value of every english article, acquisition are determined according to preset standard
Target student corresponding to target word the corresponding article difficulty of target student is determined according to the complexity of target word
It is worth range, according to article difficulty value range and the article difficulty value of every english article, determines and wait from more english articles
English article is selected, according to target word, target english article is determined from candidate english article and recommends target student.This hair
In bright, the article difficulty value of english article is determined according to the complexity of word, then according to the article difficulty value of target student
The article difficulty value of range and every english article determines candidate's english article, finally, according to mesh from more english articles
Word is marked, target english article is determined from candidate english article and recommends target student.The present invention is obtaining target
After raw target word, you can target english article is automatically determined from more english articles and recommends target student, it is real
Show full-automatic recommendation, compared to the mode artificially recommended, greatly improves recommendation efficiency.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of English provided in an embodiment of the present invention reads the flow diagram that article recommends method；
Fig. 2 is the flow diagram of the article difficulty value of every english article of determination provided in an embodiment of the present invention；
Fig. 3 is the flow diagram of determining candidate english article provided in an embodiment of the present invention；
Fig. 4 is determining target english article provided in an embodiment of the present invention and recommends the flow diagram of target student；
Fig. 5 is the structural schematic diagram that a kind of English provided in an embodiment of the present invention reads article recommendation apparatus；
Fig. 6 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific implementation mode
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 describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In order to solve prior art problem, an embodiment of the present invention provides it is a kind of English read article recommend method, apparatus,
Electronic equipment and storage medium.
Be provided for the embodiments of the invention first below it is a kind of English read article recommend method be introduced.
As shown in Figure 1, a kind of English provided in an embodiment of the present invention reads article and recommends method, may include：
S101：More english articles are obtained, determine the word that every english article includes.
In order to recommend english article to student, need to obtain more english articles.
Since the complexity of an english article is generally dependent on the complexity for the word that this english article includes,
Therefore, after obtaining more english articles, the word that every english article includes is determined.
S102：According to the complexity for the word that every english article includes, the article difficulty of every english article is determined
Value.
After the word that every english article includes is determined, you can according to the difficulty or ease for the word that every english article includes
Degree determines the article difficulty value of every english article.
Due to being directed to for student, common word is easier, more difficult without common word, accordingly, it is determined that
The mode of the complexity of word can be：
Word frequency statistics, the i.e. statistics of access times are carried out to the English word often examined, then according to access times from height to
Low sequence is ranked up the English word often examined, and is ranked up from 1 to n to the result of sequence, using the serial number of sequence as
The word difficulty value of English word.The bigger word that represents of word difficulty value is more difficult to.
It should be noted that presently, there are a variety of statistical methods and tool to carry out word frequency statistics to English word,
The present invention does not do this any restriction, and every Method and kit for that can carry out word frequency statistics can be applied to the present invention.
After the difficult word difficulty value of each word is determined, i.e., after the complexity of word, according to every english article packet
The complexity of the word contained determines the article difficulty value of every english article.
According to the complexity for the word that every english article includes, the side of the article difficulty value of every english article is determined
Formula includes but not limited to following manner：
First way：For every english article, the word difficulty for all words that this english article includes is calculated
The average value is determined as the article difficulty value of this english article by the average value of value.
Since the complexity of an english article is generally dependent on the complexity for the word that this english article includes,
It therefore, can be by way of calculating the average value of word difficulty value for all words that every english article includes, to determine
The article difficulty value of every english article.
The second way：The complexity of the above-mentioned word for including according to every english article, determines every english article
Article difficulty value, Ke Yiwei：Text is determined according to the word difficulty value for the least common word for including in every english article
Chapter difficulty value.May include referring to Fig. 2, S102：
S1021：For every english article, include to this english article according to the sequence of word difficulty value from small to large
Word be ranked up.
In order to determine the complexity of word that every english article includes, for every english article, according to word hardly possible
The word that the sequence of angle value from small to large includes to this english article is ranked up.
Such as：Assuming that english article A includes word：M、N、O、P；The word difficulty value that the word difficulty value of M is 6, N is 4,
The word difficulty value that the word difficulty value of O is 9, P is 13；
Then according to word difficulty value sequence from small to large to this english article A words for including be ranked up for：N、
M、O、P。
S1022：Obtain the word candidate that sequence digit is more than the first presetting digit capacity.
Due to can all occur in too common word almost every english article, it, can when determining article difficulty value
Not consider the word difficulty value of too common word, the word difficulty value for the word being of little use can be only considered.
Therefore, it after being ranked up to word according to word difficulty value, obtains sequence digit and is more than the first presetting digit capacity
Word candidate, wherein the first presetting digit capacity can be preset, the quantity for the word that can also include according to every english article
It is determined with the product of preset ratio.
Such as：Accept the example of step S1021, it is assumed that the first presetting digit capacity is 2, then obtains the time that sequence digit is more than 2
Menu word is：O、P；
Assuming that preset ratio is 50%, since the quantity that english article A includes word is 4, then the first presetting digit capacity is：
4 × 50%=2, then obtaining word candidate of the sequence digit more than 2 is：O、P.
S1023：Calculate the first average value of the word difficulty value of all word candidates.
After obtaining word candidate, the first average value of the word difficulty value of all word candidates is calculated.
Such as：The example of step S1022 is accepted, the first average value for calculating the word difficulty value of all word candidates is：
(9+13)/2=11.
S1024：First average value is determined as to the article difficulty value of this english article.
After the first average value of the word difficulty value for calculating all word candidates, you can calculated first is averaged
Value is determined as the article difficulty value of this english article.
Such as：First average value 11, is determined as the article difficulty value of english article A by the example for accepting step S1023.
S103：Obtain the target word corresponding to the target student determined according to preset standard.
The word that student is grasped is largely depended on since whether student can understand english article, in order to push away
English article is recommended to student, needs to obtain the target word that target student is grasped.
Whether one student of judge grasps there are many modes of a word, and under different standards, the result of judge is not
Together, therefore, it in order to obtain the target word that target student is grasped, can be determined according to preset standard corresponding to target student
Target word.
Illustratively, preset standard can include but is not limited to：Whether could be aware that word the meaning of a word, whether can actively
By word for writing, whether can understand word.
Wherein, judging whether to know the mode of the meaning of a word of word can be：
It obtains student to know the real situation the examination result of English exam, determines whether student knows certain some word according to examination result
The meaning of a word.
Judge whether can by active by word for write in a manner of can be：
Obtain Situation of Students ' English Writing examination examination result, according to examination result determine student whether can actively will be a certain
A little words are for writing.
Judging whether the mode that can understand word can be：
The examination result for obtaining College Students ' English Listening examination determines whether student can understand certain some according to examination result
Word.
After determining the target word corresponding to target student according to preset standard, you can the target word is obtained,
S104：According to the complexity of target word, the corresponding article difficulty value range of target student is determined.
Due to that for a student, if article is too simple, student can be made to lack proactive, if article is too
Difficulty, then students' union be in a tight corner, therefore, in order to ensure select it is existing challenge again be unlikely to the english article for allowing student to be in a tight corner, need
English article is selected according to the complexity for the word that student is grasped.
Therefore, after obtaining the target word corresponding to target student, the complexity according to target word is needed, really
The corresponding article difficulty value range of the student that sets the goal.
Wherein, step S104 may include：
Target word is ranked up according to the sequence of word difficulty value from small to large；
Obtain the reference word that sequence digit is more than the second presetting digit capacity；
Calculate the second average value of all word difficulty values with reference to word；
Calculate the third average value of the word difficulty value of all target words；
According to the second average value and third average value, the corresponding article difficulty value range of target student is determined.
In order to determine the corresponding article difficulty value range of target student, according to the sequence of word difficulty value from small to large to mesh
Mark word is ranked up.Obtain the reference word that sequence digit is more than the second presetting digit capacity, wherein the second presetting digit capacity can be pre-
It first sets, can also be determined according to the product of the quantity of target word and preset ratio.Specific determining second presetting digit capacity
Mode may refer to determine the mode of the first presetting digit capacity in Fig. 2 steps S1022, and details are not described herein.
After obtaining with reference to word, the second average value of all word difficulty values with reference to word is calculated.And calculate institute
There is the third average value of the word difficulty value of target word.
Since the digit of sequence is bigger, difficulty value is higher, and therefore, the reference word difficulty of acquisition is higher.
And since the probability that the low word of difficulty value occurs in every english article is higher, pass through to calculate and only wrap
Include the second average value of the higher all word difficulty values with reference to word of difficulty value, it may be determined that target student institute is receptible
The maximum difficulty value of article.
By the third average value for calculating the word difficulty value of all target words, it may be determined that target student can receive
Article minimum difficulty value.
Determine target student receptible article maximum difficulty value and minimum difficulty value, i.e. the second average value with
After third average value, the corresponding article difficulty value range of target student can be determined according to the second average value and third average value,
I.e. the corresponding article difficulty value of target student is ranging from【Third average value, the second average value】.
Such as：Assuming that the second average value is 4, third average value is 2, then the corresponding article difficulty value of target student is ranging from
【2,4】, i.e. the corresponding article difficulty value of target student is between 2 to 4.
S105：According to article difficulty value range and the article difficulty value of every english article, from more english articles
Determine candidate's english article.
After article difficulty value range is determined, the article according to article difficulty value range and every english article is needed
Difficulty value determines candidate english article of the difficulty for the receptible degree of target student from more english articles.
Illustratively, in one implementation, S105 may include：
From more english articles, the candidate english article that article difficulty value is located within the scope of article difficulty value is determined.
If the article difficulty value of an english article is located within the scope of identified article difficulty value, illustrate this English
The difficulty of article is the receptible degree of target student, therefore, according to article difficulty value range and every english article
Article difficulty value, the mode from determining candidate's english article in more english articles can be to be determined from more english articles
Article difficulty value is located at the candidate english article within the scope of article difficulty value.
In another implementation, may include referring to Fig. 3, S105：
S1051：Determine the destination number of target word.
In order to determine candidate english article, it is thus necessary to determine that the destination number of the corresponding target word of target student.
S1052：From more english articles, determine that the quantity comprising word is the reference english article of destination number.
Word that different english articles is included may be different, including the quantity of word may also be different, in order to
Candidate english article is filtered out from more english articles, it can be by the quantity for the word that english article is included to more English
Article carries out preliminary screening, you can from more english articles, to determine that the quantity comprising word is the reference of destination number
English article.
S1053：From with reference to the candidate's English text in english article, determining that article difficulty value is located within the scope of article difficulty value
Chapter.
Since the article difficulty value of the identical article of word quantity is but not necessarily identical, matched with target student to select
Candidate english article, determining with reference to after english article, from reference in english article, determining that article difficulty value is located at article
Candidate english article in difficulty value.
S106：According to target word, target english article is determined from candidate english article and recommends target student.
After determining candidate english article, illustrate that the difficulty of identified candidate english article can receive for target student
Degree, but the not necessarily suitable degree of target student.
For target student, the suitable degree of english article depends on the new word ratio in every english article,
In, new word ratio is the ratio that the word that student does not grasp accounts for entire chapter english article.Since even article difficulty value is identical
English article is directed to for target student, including new word ratio be also not necessarily the same, it is therefore, candidate determining
It after english article, needs according to target word, target english article is determined from candidate english article and recommends target student.
It is above-mentioned to determine target english article from candidate english article according to target word and recommend target student, it can
Think：According to new word ratio-dependent target english article and recommend target student.May include referring to Fig. 4, S106：
S1061：The word that target word includes respectively with every candidate english article is compared, determines every candidate
The corresponding new word ratio of english article.
For target student, in order to determine the corresponding new word ratio of every candidate's english article, need target list
The word that word includes respectively with every candidate english article is compared, and is determined in every candidate english article with target word not
Same word, i.e. new word.Then it is directed to every candidate english article, the quantity and the candidate english article of this for calculating new word include
Word quantity ratio, which is determined as the corresponding new word of the candidate english article of this for target student
Ratio, i.e., the word that target student does not grasp account for the ratio of entire chapter candidate's english article.
S1062：From candidate english article, the target English text that new word ratio is located in default new word proportional region is determined
Chapter simultaneously recommends target student.
In order to recommend the english article suitable for difficulty to give target student, the corresponding life of every candidate's english article is being determined
After word ratio, from candidate english article, target english article of the new word ratio in default new word proportional region is determined simultaneously
Recommend target student.
Wherein, it can be grade's determination based on target student to preset new word proportional region, such as：Assuming that middle school student
New word acceptance level is that new word ratio is 2%-3%, and it is 3%-4% that the new word acceptance level of high school student, which is new word ratio, then in
The default new word proportional region of student is【2%, 3%】, the default new word proportional region of high school student is【3%, 4%】；
In addition, default new word proportional region is also based on the new word acceptance level of target student itself to determine, such as：
Assuming that target student is student W, student W is middle school student, and the new word acceptance level of student W is that new word proportional region is【3%,
4%】, then the default new word proportional region of student W be【3%, 4%】.
Wherein it is determined that the mode of the new word acceptance level of target student itself can be：According to target student every time to pushing away
The feedback result for the english article recommended determines the new word acceptance level of target student itself.
Detailed, feedback result is satisfaction, or, dissatisfied, satisfaction represents target student and is subjected to recommending to be located at default give birth to
English article in word proportional region, at this point, determining that the new word acceptance level of target student itself is preset new word ratio
Range.
As a result, for target student, the new word ratio of every candidate english article is accurately calculated, and therefrom
It is preferred that going out the target english article of difficulty appropriate target student and recommending target student, both greatly improves and found target
The efficiency of article in turn ensures the specific aim that article is recommended.
Detailed, the mode that target english article is recommended to target student includes but not limited to following several：
The first：Displaying target english article gives target student.
Target student is made to know recommended english article by way of showing target english article.
Second：The article name for exporting target english article gives target student.
After target english article is determined, making target by way of exporting the article name of target english article
Recommended english article is known in life.
In the embodiment of the present invention, more english articles are obtained, the word that every english article includes are determined, according to every English
The complexity for the word that article includes determines that the article difficulty value of every english article, acquisition are determined according to preset standard
Target student corresponding to target word the corresponding article difficulty of target student is determined according to the complexity of target word
It is worth range, according to article difficulty value range and the article difficulty value of every english article, determines and wait from more english articles
English article is selected, according to target word, target english article is determined from candidate english article and recommends target student.This hair
In bright, the article difficulty value of english article is determined according to the complexity of word, then according to the article difficulty value of target student
The article difficulty value of range and every english article determines candidate's english article, finally, according to mesh from more english articles
Word is marked, target english article is determined from candidate english article and recommends target student.The present invention is obtaining target
After raw target word, you can target english article is automatically determined from more english articles and recommends target student, it is real
Show full-automatic recommendation, compared to the mode artificially recommended, greatly improves recommendation efficiency.
Relative to above method embodiment, referring to Fig. 5, the embodiment of the present invention additionally provides a kind of English reading article recommendation
Device, described device may include：
It obtains module 201 and determines the word that every english article includes for obtaining more english articles；
Article difficulty value determining module 202, the complexity of the word for including according to every english article determine every
The article difficulty value of piece english article；
Target word obtains module 203, for obtaining the target list corresponding to the target student determined according to preset standard
Word；
Article difficulty value range determination module 204 determines the target for the complexity according to the target word
The corresponding article difficulty value range of student；
Candidate english article determining module 205, for according to the article difficulty value range and every english article
Article difficulty value determines candidate's english article from the more english articles；
Recommending module 206, for according to the target word, target english article to be determined from the candidate english article
And recommend the target student.
In the embodiment of the present invention, more english articles are obtained, the word that every english article includes are determined, according to every English
The complexity for the word that article includes determines that the article difficulty value of every english article, acquisition are determined according to preset standard
Target student corresponding to target word the corresponding article difficulty of target student is determined according to the complexity of target word
It is worth range, according to article difficulty value range and the article difficulty value of every english article, determines and wait from more english articles
English article is selected, according to target word, target english article is determined from candidate english article and recommends target student.This hair
In bright, the article difficulty value of english article is determined according to the complexity of word, then according to the article difficulty value of target student
The article difficulty value of range and every english article determines candidate's english article, finally, according to mesh from more english articles
Word is marked, target english article is determined from candidate english article and recommends target student.The present invention is obtaining target
After raw target word, you can target english article is automatically determined from more english articles and recommends target student, it is real
Show full-automatic recommendation, compared to the mode artificially recommended, greatly improves recommendation efficiency.
In a kind of realization method of the present invention, the article difficulty value determining module 202 may include：
First sequencing unit, for being directed to every english article, according to the sequence of word difficulty value from small to large to the piece
The word that english article includes is ranked up；
Word candidate obtaining unit is more than the word candidate of the first presetting digit capacity for obtaining sequence digit；
First average calculation unit, the first average value of the word difficulty value for calculating all word candidates；
Article difficulty value determination unit, the article difficulty for first average value to be determined as to this english article
Value.
In a kind of realization method of the present invention, the article difficulty value range determination module 204 may include：
Second sequencing unit, for being ranked up to target word according to the sequence of word difficulty value from small to large；
With reference to word obtaining unit, the reference word of the second presetting digit capacity is more than for obtaining sequence digit；
Second average calculation unit, the second average value for calculating all word difficulty values with reference to word；
Third average calculation unit, the third average value of the word difficulty value for calculating all target words；
Article difficulty value range determination unit, for according to second average value and the third average value, determining institute
State the corresponding article difficulty value range of target student.
In a kind of realization method of the present invention, candidate's english article determining module 205 can be specifically used for：
From the more english articles, candidate's English that article difficulty value is located within the scope of the article difficulty value is determined
Article.
In a kind of realization method of the present invention, candidate's english article determining module 205 may include：
Destination number determination unit, the destination number for determining the target word；
With reference to english article determination unit, for from the more english articles, determining that the quantity comprising word is institute
State the reference english article of destination number；
Candidate english article determination unit, for from the reference english article, it is described to determine that article difficulty value is located at
Candidate english article within the scope of article difficulty value.
In a kind of realization method of the present invention, the recommending module 206 may include：
Comparison unit, the word for including with every candidate english article respectively by the target word compare,
Determine the corresponding new word ratio of every candidate's english article；
Recommendation unit, for from the candidate english article, determining that new word ratio is located in default new word proportional region
Target english article and recommend the target student.
The embodiment of the present invention additionally provides a kind of electronic equipment, as shown in fig. 6, including processor 601, communication interface 602,
Memory 603 and communication bus 604, wherein processor 601, communication interface 602, memory 603 are complete by communication bus 604
At mutual communication,
Memory 603, for storing computer program；
Processor 601 when for executing the computer program stored on memory 603, realizes following steps：
More english articles are obtained, determine the word that every english article includes；
According to the complexity for the word that every english article includes, the article difficulty value of every english article is determined；
Obtain the target word corresponding to the target student determined according to preset standard；
According to the complexity of the target word, the corresponding article difficulty value range of the target student is determined；
According to the article difficulty value range and the article difficulty value of every english article, from the more english articles
Middle determining candidate english article；
According to the target word, determines target english article from the candidate english article and recommend the target
Student.
In the embodiment of the present invention, more english articles are obtained, the word that every english article includes are determined, according to every English
The complexity for the word that article includes determines that the article difficulty value of every english article, acquisition are determined according to preset standard
Target student corresponding to target word the corresponding article difficulty of target student is determined according to the complexity of target word
It is worth range, according to article difficulty value range and the article difficulty value of every english article, determines and wait from more english articles
English article is selected, according to target word, target english article is determined from candidate english article and recommends target student.This hair
In bright, the article difficulty value of english article is determined according to the complexity of word, then according to the article difficulty value of target student
The article difficulty value of range and every english article determines candidate's english article, finally, according to mesh from more english articles
Word is marked, target english article is determined from candidate english article and recommends target student.The present invention is obtaining target
After raw target word, you can target english article is automatically determined from more english articles and recommends target student, it is real
Show full-automatic recommendation, compared to the mode artificially recommended, greatly improves recommendation efficiency.
In a kind of realization method of the present invention, the complexity of the word for including according to every english article, really
The step of article difficulty value of fixed every english article, may include：
For every english article, the word for including to this english article according to the sequence of word difficulty value from small to large
It is ranked up；
Obtain the word candidate that sequence digit is more than the first presetting digit capacity；
Calculate the first average value of the word difficulty value of all word candidates；
First average value is determined as to the article difficulty value of this english article.
In a kind of realization method of the present invention, the complexity according to the target word determines the target
The step of student's corresponding article difficulty value range, may include：
Target word is ranked up according to the sequence of word difficulty value from small to large；
Obtain the reference word that sequence digit is more than the second presetting digit capacity；
Calculate the second average value of all word difficulty values with reference to word；
Calculate the third average value of the word difficulty value of all target words；
According to second average value and the third average value, the corresponding article difficulty value model of the target student is determined
It encloses.
It is described according to the article difficulty value range and every english article in a kind of realization method of the present invention
Article difficulty value, from the more english articles determine candidate english article the step of, may include：
From the more english articles, candidate's English that article difficulty value is located within the scope of the article difficulty value is determined
Article.
It is described according to the article difficulty value range and every english article in a kind of realization method of the present invention
Article difficulty value, from the more english articles determine candidate english article the step of, may include：
Determine the destination number of the target word；
From the more english articles, determine that the quantity comprising word is the reference english article of the destination number；
From described with reference to the candidate's English in english article, determining that article difficulty value is located within the scope of the article difficulty value
Article.
It is described according to the target word in a kind of realization method of the present invention, from the candidate english article really
Set the goal english article and the step of recommend the target student, may include：
The word that the target word includes respectively with every candidate english article is compared, determines every candidate English
The corresponding new word ratio of article；
From the candidate english article, the target english article that new word ratio is located in default new word proportional region is determined
And recommend the target student.
The communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, PCI) bus or expanding the industrial standard structure (Extended Industry Standard
Architecture, EISA) bus etc..The communication bus can be divided into address bus, data/address bus, controlling bus etc..For just
It is only indicated with a thick line in expression, figure, it is not intended that an only bus or a type of bus.
Communication interface is for the communication between above-mentioned electronic equipment and other equipment.
Memory may include random access memory (Random Access Memory, RAM), can also include non-easy
The property lost memory (Non-Volatile Memory, NVM), for example, at least a magnetic disk storage.Optionally, memory may be used also
To be at least one storage device for being located remotely from aforementioned processor.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processing, DSP), it is application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete
Door or transistor logic, discrete hardware components.
The embodiment of the present invention additionally provides a kind of computer readable storage medium, the computer readable storage medium memory
Computer program is contained, the computer program realizes following steps when being executed by processor：
More english articles are obtained, determine the word that every english article includes；
According to the complexity for the word that every english article includes, the article difficulty value of every english article is determined；
Obtain the target word corresponding to the target student determined according to preset standard；
According to the complexity of the target word, the corresponding article difficulty value range of the target student is determined；
According to the article difficulty value range and the article difficulty value of every english article, from the more english articles
Middle determining candidate english article；
According to the target word, determines target english article from the candidate english article and recommend the target
Student.
In the embodiment of the present invention, more english articles are obtained, the word that every english article includes are determined, according to every English
The complexity for the word that article includes determines that the article difficulty value of every english article, acquisition are determined according to preset standard
Target student corresponding to target word the corresponding article difficulty of target student is determined according to the complexity of target word
It is worth range, according to article difficulty value range and the article difficulty value of every english article, determines and wait from more english articles
English article is selected, according to target word, target english article is determined from candidate english article and recommends target student.This hair
In bright, the article difficulty value of english article is determined according to the complexity of word, then according to the article difficulty value of target student
The article difficulty value of range and every english article determines candidate's english article, finally, according to mesh from more english articles
Word is marked, target english article is determined from candidate english article and recommends target student.The present invention is obtaining target
After raw target word, you can target english article is automatically determined from more english articles and recommends target student, it is real
Show full-automatic recommendation, compared to the mode artificially recommended, greatly improves recommendation efficiency.
In a kind of realization method of the present invention, the complexity of the word for including according to every english article, really
The step of article difficulty value of fixed every english article, may include：
For every english article, the word for including to this english article according to the sequence of word difficulty value from small to large
It is ranked up；
Obtain the word candidate that sequence digit is more than the first presetting digit capacity；
Calculate the first average value of the word difficulty value of all word candidates；
First average value is determined as to the article difficulty value of this english article.
In a kind of realization method of the present invention, the complexity according to the target word determines the target
The step of student's corresponding article difficulty value range, may include：
Target word is ranked up according to the sequence of word difficulty value from small to large；
Obtain the reference word that sequence digit is more than the second presetting digit capacity；
Calculate the second average value of all word difficulty values with reference to word；
Calculate the third average value of the word difficulty value of all target words；
According to second average value and the third average value, the corresponding article difficulty value model of the target student is determined
It encloses.
It is described according to the article difficulty value range and every english article in a kind of realization method of the present invention
Article difficulty value, from the more english articles determine candidate english article the step of, may include：
From the more english articles, candidate's English that article difficulty value is located within the scope of the article difficulty value is determined
Article.
It is described according to the article difficulty value range and every english article in a kind of realization method of the present invention
Article difficulty value, from the more english articles determine candidate english article the step of, may include：
Determine the destination number of the target word；
From the more english articles, determine that the quantity comprising word is the reference english article of the destination number；
From described with reference to the candidate's English in english article, determining that article difficulty value is located within the scope of the article difficulty value
Article.
It is described according to the target word in a kind of realization method of the present invention, from the candidate english article really
Set the goal english article and the step of recommend the target student, may include：
The word that the target word includes respectively with every candidate english article is compared, determines every candidate English
The corresponding new word ratio of article；
From the candidate english article, the target english article that new word ratio is located in default new word proportional region is determined
And recommend the target student.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (14)
1. a kind of English, which reads article, recommends method, which is characterized in that the method includes：
More english articles are obtained, determine the word that every english article includes；
According to the complexity for the word that every english article includes, the article difficulty value of every english article is determined；
Obtain the target word corresponding to the target student determined according to preset standard；
According to the complexity of the target word, the corresponding article difficulty value range of the target student is determined；
According to the article difficulty value range and the article difficulty value of every english article, from the more english articles really
Fixed candidate's english article；
According to the target word, determines target english article from the candidate english article and recommend the target
It is raw.
2. according to the method described in claim 1, it is characterized in that, the difficulty or ease of the word for including according to every english article
Degree, the step of determining the article difficulty value of every english article, including：
For every english article, the word that this english article includes is carried out according to the sequence of word difficulty value from small to large
Sequence；
Obtain the word candidate that sequence digit is more than the first presetting digit capacity；
Calculate the first average value of the word difficulty value of all word candidates；
First average value is determined as to the article difficulty value of this english article.
3. according to the method described in claim 1, it is characterized in that, the complexity according to the target word, determines
The step of target student corresponding article difficulty value range, including：
Target word is ranked up according to the sequence of word difficulty value from small to large；
Obtain the reference word that sequence digit is more than the second presetting digit capacity；
Calculate the second average value of all word difficulty values with reference to word；
Calculate the third average value of the word difficulty value of all target words；
According to second average value and the third average value, the corresponding article difficulty value range of the target student is determined.
4. according to the method described in claim 1, it is characterized in that, described according to the article difficulty value range and every English
The article difficulty value of article, from the more english articles the step of determining candidate's english article, including：
From the more english articles, candidate's English text that article difficulty value is located within the scope of the article difficulty value is determined
Chapter.
5. according to the method described in claim 4, it is characterized in that, described according to the article difficulty value range and every English
The article difficulty value of article, from the more english articles the step of determining candidate's english article, including：
Determine the destination number of the target word；
From the more english articles, determine that the quantity comprising word is the reference english article of the destination number；
From described with reference to the candidate's English text in english article, determining that article difficulty value is located within the scope of the article difficulty value
Chapter.
6. according to the method described in claim 1, it is characterized in that, described according to the target word, from the candidate English
The step of determining target english article in article and recommending the target student, including：
The word that the target word includes respectively with every candidate english article is compared, determines every candidate English text
The corresponding new word ratio of chapter；
From the candidate english article, determines the target english article that new word ratio is located in default new word proportional region and push away
It recommends to the target student.
7. a kind of English reads article recommendation apparatus, which is characterized in that described device includes：
It obtains module and determines the word that every english article includes for obtaining more english articles；
Article difficulty value determining module, the complexity of the word for including according to every english article determine every English
The article difficulty value of article；
Target word obtains module, for obtaining the target word corresponding to the target student determined according to preset standard；
Article difficulty value range determination module determines the target student couple for the complexity according to the target word
The article difficulty value range answered；
Candidate english article determining module, for the article difficulty according to the article difficulty value range and every english article
Value determines candidate's english article from the more english articles；
Recommending module, for according to the target word, determining target english article from the candidate english article and recommending
To the target student.
8. device according to claim 7, which is characterized in that the article difficulty value determining module, including：
First sequencing unit, for being directed to every english article, according to the sequence of word difficulty value from small to large to this English
The word that article includes is ranked up；
Word candidate obtaining unit is more than the word candidate of the first presetting digit capacity for obtaining sequence digit；
First average calculation unit, the first average value of the word difficulty value for calculating all word candidates；
Article difficulty value determination unit, the article difficulty value for first average value to be determined as to this english article.
9. device according to claim 7, which is characterized in that the article difficulty value range determination module, including：
Second sequencing unit, for being ranked up to target word according to the sequence of word difficulty value from small to large；
With reference to word obtaining unit, the reference word of the second presetting digit capacity is more than for obtaining sequence digit；
Second average calculation unit, the second average value for calculating all word difficulty values with reference to word；
Third average calculation unit, the third average value of the word difficulty value for calculating all target words；
Article difficulty value range determination unit, for according to second average value and the third average value, determining the mesh
Mark the corresponding article difficulty value range of student.
10. device according to claim 7, which is characterized in that candidate's english article determining module is specifically used for：
From the more english articles, candidate's English text that article difficulty value is located within the scope of the article difficulty value is determined
Chapter.
11. device according to claim 7, which is characterized in that candidate's english article determining module, including：
Destination number determination unit, the destination number for determining the target word；
With reference to english article determination unit, for from the more english articles, determining that the quantity comprising word is the mesh
Mark the reference english article of quantity；
Candidate english article determination unit, for, with reference in english article, determining that article difficulty value is located at the article from described
Candidate english article within the scope of difficulty value.
12. device according to claim 7, which is characterized in that the recommending module, including：
Comparison unit, the word for including with every candidate english article respectively by the target word are compared, are determined
The corresponding new word ratio of every candidate's english article；
Recommendation unit, for from the candidate english article, determining the mesh that new word ratio is located in default new word proportional region
Mark english article simultaneously recommends the target student.
13. a kind of electronic equipment, which is characterized in that including processor, communication interface, memory and communication bus, wherein processing
Device, communication interface, memory complete mutual communication by communication bus；
Memory, for storing computer program；
Processor when for executing the computer program stored on memory, realizes any methods of claim 1-6
Step.
14. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program realizes claim 1-6 any method and steps when the computer program is executed by processor.
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| CN201810162606.3A CN108491451B (en) | 2018-02-27 | 2018-02-27 | English reading article recommendation method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110188187A (en) * | 2019-06-04 | 2019-08-30 | 成都终身成长科技有限公司 | Article recommended method and device, storage medium |
| CN110413728A (en) * | 2019-06-20 | 2019-11-05 | 平安科技（深圳）有限公司 | Exercise recommended method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105068993A (en) * | 2015-07-31 | 2015-11-18 | 成都思戴科科技有限公司 | Method for evaluating text difficulty |
| CN106126621A (en) * | 2016-06-22 | 2016-11-16 | 腾讯科技（深圳）有限公司 | Method and apparatus recommended in article |
| CN106897950A (en) * | 2017-01-16 | 2017-06-27 | 北京师范大学 | One kind is based on word cognitive state Model suitability learning system and method |
| CN106951406A (en) * | 2017-03-13 | 2017-07-14 | 广西大学 | A kind of stage division of the Chinese reading ability based on text language variable |
| CN107506346A (en) * | 2017-07-10 | 2017-12-22 | 北京享阅教育科技有限公司 | A kind of Chinese reading grade of difficulty method and system based on machine learning |
-
2018
- 2018-02-27 CN CN201810162606.3A patent/CN108491451B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105068993A (en) * | 2015-07-31 | 2015-11-18 | 成都思戴科科技有限公司 | Method for evaluating text difficulty |
| CN106126621A (en) * | 2016-06-22 | 2016-11-16 | 腾讯科技（深圳）有限公司 | Method and apparatus recommended in article |
| CN106897950A (en) * | 2017-01-16 | 2017-06-27 | 北京师范大学 | One kind is based on word cognitive state Model suitability learning system and method |
| CN106951406A (en) * | 2017-03-13 | 2017-07-14 | 广西大学 | A kind of stage division of the Chinese reading ability based on text language variable |
| CN107506346A (en) * | 2017-07-10 | 2017-12-22 | 北京享阅教育科技有限公司 | A kind of Chinese reading grade of difficulty method and system based on machine learning |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110188187A (en) * | 2019-06-04 | 2019-08-30 | 成都终身成长科技有限公司 | Article recommended method and device, storage medium |
| CN110413728A (en) * | 2019-06-20 | 2019-11-05 | 平安科技（深圳）有限公司 | Exercise recommended method, device, equipment and storage medium |
| CN110413728B (en) * | 2019-06-20 | 2023-10-27 | 平安科技（深圳）有限公司 | Method, device, equipment and storage medium for recommending exercise problems |
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| CN108491451B (en) | 2021-09-17 |
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