CN112216168A - Intelligent question type conversion system and method based on choice question editor - Google Patents
Intelligent question type conversion system and method based on choice question editor Download PDFInfo
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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
- G09B7/04—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 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
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- G06F40/166—Editing, e.g. inserting or deleting
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/06—Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
- G09B7/08—Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying further information
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Abstract
The invention discloses an intelligent question type conversion system and method based on a choice question editor, wherein the system comprises: the input module is used for acquiring the required questions in an automatic mode; the text module is used for performing text processing on the questions; the analysis module is used for analyzing the textual question to obtain a question surface and a correct answer; the wrong answer recommending module is used for generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answers; the integrated editing module is used for transmitting the analyzed content and the correspondingly generated error answers to the choice question editor; the choice question editor is used for automatically generating choice questions according to the input content and further editing the choice questions by a user; the beneficial effects are as follows: by acquiring the questions, automatically performing textualization, intelligent analysis, automatically generating wrong answers and finally converting the selection questions in an automatic mode, the manual editing operation of a user in the process of converting the question types is reduced, and the conversion efficiency is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent question type conversion system and method based on a choice question editor.
Background
The current students can search on the internet for questions when encountering the unknowns in the learning process, and the questions can be stored for future review after learning. However, the searched topics often have the following problems: 1. most of the pictures are in picture formats, and editing cannot be performed, so that understanding and summarization of the users cannot be added. 2. The question types are various, such as blank filling questions, application questions, judgment questions and simple answer questions, and are not easy to interact with each other by man and machine like selection questions. 3. Even if the searched topics are selection topics, the formats are not uniform, and the user cannot add self understanding and summarization in the storage process. The above 3 problems make it impossible for the user to edit and summarize the title, which is not favorable for review in the future.
Furthermore, students can arrange some knowledge points and wrong problem sets in the learning process. However, due to factors such as disordered arrangement of knowledge points and wrong question sets, inconsistent formats, no review plan and the like, students rarely review, inadequate review, poor review effect and the like.
Therefore, the applicant proposed an auxiliary review system based on a choice question editor in the early stage to help the user to do review regularly and quantitatively. Although the system solves the problems of directionality, regularity, high efficiency, certainty and the like of student review, a user needs to add contents manually when using a choice question editor, needs to manually arrange various question types collected on the network or knowledge points summarized by the user, performs format conversion and the like, and particularly needs to add various formulas related to the questions according to certain specifications, so that the system is time-consuming and labor-consuming, is easy to cause artificial input errors, and further has the defect of low conversion efficiency.
Disclosure of Invention
The invention aims to: an intelligent question type conversion system and method based on a choice question editor are provided to overcome the defect of low conversion efficiency in the prior art.
In a first aspect: an intelligent question type conversion system based on a choice question editor comprises an input module, a text module, an analysis module, an error answer recommendation module, an integrated editing module and a choice question editor;
the input module is used for acquiring the questions required by the user in an automatic mode; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types;
the text module is used for performing text processing on the title;
the analysis module is used for analyzing the textual question to obtain a question surface and a correct answer of the question;
the wrong answer recommending module is used for automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answers;
the integrated editing module is used for transmitting the analyzed content and the automatically generated error answers to the choice question editor;
and the selected question editor is used for automatically generating selected questions according to the content input by the integrated editing module and further editing the selected questions by a user.
As an optional embodiment of the present application, the choice question editor is further configured to edit the wrong answers to generate new wrong answers, including editing the number of the wrong answers and editing the content of the wrong answers;
the analysis module also analyzes the solution thought and knowledge point summary.
As an optional implementation manner of the present application, the intelligent question type conversion system based on the choice question editor further includes a storage module and an output module;
the storage module is used for storing and marking the choice questions edited and generated by the user;
and the output module is used for outputting the selection questions to be reviewed according to the selection information of the user.
As an optional implementation manner of the application, when a selection question is output, a comprehensive originality corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
As an optional implementation manner of the present application, the originality degrees of the four portions are respectively equal to the product of the content proportion and the originality proportion of each portion; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
In a second aspect: an intelligent question switching method based on a choice question editor is applied to the intelligent question switching system based on the choice question editor in the first aspect, and the method comprises the following steps:
acquiring a title required by a user in an automatic mode by using an input module; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types;
the title is subjected to text processing through a text processing module;
analyzing the textual question by an analysis module to obtain a question surface and a correct answer of the question;
automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answer through a wrong answer recommending module;
the integrated editing module transmits the analyzed content and the automatically generated error answers to the choice question editor;
and then the selected questions editor automatically generates selected questions according to the content input by the integrated editing module and provides the selected questions for further editing by the user.
As an optional implementation manner of the present application, the method further includes:
editing the wrong answers through the choice question editor to generate new wrong answers, wherein the editing of the number of the wrong answers and the editing of the content of the wrong answers are included;
and analyzing the solution thought and knowledge point summary through the analysis module.
As an optional implementation manner of the present application, the method further includes:
storing and marking the choice questions edited and generated by the user by using a storage module;
and outputting the selection questions to be reviewed through an output module according to the selection information of the user.
As an optional implementation manner of the application, when a selection question is output, a comprehensive originality corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
As an optional implementation manner of the present application, the originality degrees of the four portions are respectively equal to the product of the content proportion and the originality proportion of each portion; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
By adopting the technical scheme, the method has the following advantages: according to the intelligent question type conversion system and method based on the choice question editor, the question is obtained in an automatic mode, corresponding text processing, analysis processing and answer generation are carried out, finally editing processing is carried out through the choice question editor, the final choice question is obtained, and the whole process includes the steps of obtaining the question, automatic text processing, intelligent analysis, automatic generation of wrong answers and final conversion choice questions in an automatic mode, so that manual editing operation of a user in the question type conversion process is reduced, the workload of user intervention is small, the conversion efficiency is improved, and the defect that the conversion efficiency is low in the prior art is overcome.
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Fig. 1 is a schematic structural diagram of an intelligent question switching system based on a choice question editor according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent question type conversion method based on a choice question editor according to an embodiment of the present invention.
Detailed Description
Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale.
The present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an intelligent question type conversion system based on a choice question editor includes an input module, a text module, an analysis module, an incorrect answer recommendation module, an integrated editing module, and a choice question editor;
the input module is used for acquiring the questions required by the user in an automatic mode; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types; wherein, the question types comprise blank filling questions, application questions, judgment questions, short answer questions and the like; the acquired questions are transmitted to the system in a network transmission mode; the multimedia uploading mode comprises uploaded texts, voice, videos and the like.
The text module is used for performing text processing on the title; thus facilitating subsequent analysis and adding corresponding summary content by the user;
the analysis module is used for analyzing the textual question to obtain a question surface and a correct answer of the question; the title is intelligently analyzed, and the contents of each part are cleaned; furthermore, in order to facilitate better learning and consolidation of users, the analysis module also analyzes a problem solving thought and a knowledge point summary;
it should be noted that the solution idea and knowledge point summary exists in the original topic; and the analysis module can also be obtained by mapping the questions in a stored learning database.
The wrong answer recommending module is used for automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answers;
further, the wrong answers are interference items of correct answers, the wrong answers generated by the system, if the user feels that the interference degree is not enough and the difference is too small, particularly, the problems of the literal arts are small in text difference, and in order to achieve a better effect, the choice question editor is further used for editing the wrong answers to generate new wrong answers, including editing the number of the wrong answers and editing the content of the wrong answers.
The integrated editing module is used for transmitting the analyzed content and the automatically generated error answers to the choice question editor; thereby greatly reducing the editing time of the user;
and the selected question editor is used for automatically generating selected questions according to the content input by the integrated editing module and further editing the selected questions by a user.
The user arranges and edits the contents generated by the system on the choice question editor, corrects errors, adds, deletes or replaces error options recommended by the system, and then stores and discloses the contents.
The choice question editor includes the following two settings:
1. when the system outputs the selected questions, all correct options and part of wrong options are randomly extracted, namely wrong answers output each time are not all the same, so that the user can be effectively prevented from memorizing the wrong options and answering the questions by using a method of eliminating the wrong options;
2. the positions of all options can be randomly arranged when the system outputs the selected questions, so that the user can be effectively prevented from answering the questions by a method of memorizing the positions of the options.
When the method is applied, the user only needs to set and select the choice question editor for the first time, and the choice questions of subsequent conversion can be automatically completed; the user can also set the selection question editor every time the user edits the selection question editor.
When the method is applied, the choice question editor comprises the following contents: inputting the category of the subject to which the question belongs, inputting the question surface, inputting the correct option, inputting the wrong option, inputting the thought of solving the question, summarizing and inputting the knowledge points, storing and inputting publicly. Inputting a plurality of correct options, selecting and filling by the system according to the number of correct answers of the original question, and editing by a user; a plurality of error options are input, the system intelligently analyzes the correct answers of the original questions and the text attributes of the question surfaces to recommend a plurality of error answers, and a user can edit the error answers and also can select the number of the error options when the error options are output by the output module; storing and publishing the input includes the following options: store and only see by oneself, store and all friends see, store and select a range of friends to see, store and all people see.
When the method is implemented, the user can also carry out custom input through each input option of the choice question editor; the user-defined input comprises at least one of subject category input, subject input, correct option input, wrong option input, problem solving idea input and knowledge point summarizing input.
For example, when a question is input, a user can scan and screen-capture a required question and then input the required question, and the choice question editor can automatically perform text processing on the input picture;
similarly, when the correct option is input, the user can scan and screen-capture the content containing the correct option and then input the content, and the choice question editor can automatically perform text processing on the input picture; by analogy, others are not listed one by one. Therefore, the user is more flexible in processing and more suitable for actual application conditions, simultaneously, the content needing to be subjected to the text processing is reduced, the time required to be processed is reduced, and the conversion efficiency is further accelerated.
According to the scheme, the questions are obtained in an automatic mode, corresponding textualization, analysis processing and answer generation are carried out, finally editing processing is carried out through the choice question editor, the final choice questions are obtained, the whole process does not need to be carried out by a user manually, the system automatically finishes most subsequent work, the workload of user intervention is small, the conversion efficiency is improved, and the defect that the conversion efficiency is low in the prior art is overcome.
Furthermore, in order to facilitate the subsequent review of the user, the intelligent question type conversion system based on the choice question editor also comprises a storage module and an output module;
the storage module is used for storing and marking the choice questions edited and generated by the user;
and the output module is used for outputting the selection questions to be reviewed according to the selection information of the user and displaying the selection questions on the user interface.
Therefore, the user can share the selection questions edited by the user in the shared question bank and can also search the selection questions required by the user in the shared question bank, and the user can learn the selection questions conveniently; and the system integrates extensive thinking and can also learn the choice questions uploaded by other people.
Furthermore, in order to facilitate the learning of a user on a novel question type and the flexible mastering of the user on knowledge points, when a selection question is output, the comprehensive originality corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
Specifically, the originality degrees of the four parts are respectively equal to the product of the content proportion and the originality proportion of each part; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
For example, the similar topic has a topic face of 40 bytes, an error option of 0 byte, a solution topic idea of 60 bytes, and a knowledge point summary of 0 byte; the user edits the title of title 40 bytes (non-repeated 0 bytes), error option 20 bytes (non-repeated 20 bytes), solution of the title 80 bytes (non-repeated 20 bytes), knowledge point summary 60 bytes (non-repeated 60 bytes). The content ratio of the topic is as follows: 40/(40+20+80+60) ═ 0.25, original ratio of the subject face: 0/40 is 0, the original degree of the subject face is 0.25 is 0; the content proportion of the error option is also calculated as follows: 20/(40+20+80+60) ═ 0.1, the original ratio of the wrong choice: 20/20 is 1, the original degree of the wrong option is 0.1 is 1 is 0.1; in the same way, the originality of the solution thought and the knowledge point summary are respectively as follows: 0.1,0.3. The comprehensive originality of the choice questions edited by the user is as follows: 0+0.1+0.1+ 0.3-0.5-50%.
The similar subjects are the subjects which are searched in the subject database by the system and are most similar to the subjects edited by the user.
Therefore, on one hand, the method is beneficial to the user to learn new question types, and on the other hand, the user is encouraged to participate in the process of setting questions, so that the aim of better mastering the learning content is fulfilled.
In other embodiments, in order to make the comprehensive originality more accurate, another text similarity determination method is adopted, and the specific steps are as follows:
preprocessing → text feature item selection → weighting → calculating cosine after generating vector space model.
Wherein, the preprocessing is mainly to perform Chinese word segmentation and stop words;
determining a plurality of keywords according to the frequency of the remaining words;
weighting is a mechanism set for different sizes of the embodied effect of each keyword on the text characteristics, and the weight calculation can refer to an IDF formula;
calculating the feature items in the respective selection questions and the weights corresponding to the respective feature items to obtain weight vectors of the respective selection questions;
and then, calculating the content relevance of the texts before and after each edition.
Therefore, the purpose that the comprehensive originality is improved by editing some unimportant words by a user is avoided, and the comprehensive originality has higher reference value.
Referring to fig. 2, an embodiment of the present invention further provides an intelligent question switching method based on a choice question editor, which is applied to the above-mentioned intelligent question switching system based on a choice question editor, and the method includes:
s101, acquiring a title required by a user in an automatic mode by using an input module; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types.
Specifically, the question types include a blank filling question, an application question, a judgment question, a short answer question and the like; and transmitting the acquired topics to the system in a network transmission mode.
And S102, performing text conversion on the title through a text conversion module.
S103, analyzing the textual question by an analyzing module to obtain a question surface and a correct answer of the question.
Specifically, the questions are intelligently analyzed, and the contents of all parts are cleaned; and analyzing the solution thought and knowledge point summary by the analysis module.
And S104, automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answer through a wrong answer recommending module.
And S105, transmitting the analyzed content and the automatically generated error answers to the choice question editor by the integrated editing module.
Specifically, in practice, the method further comprises:
editing the wrong answers through the choice question editor to generate new wrong answers, wherein the editing of the number of the wrong answers and the editing of the content of the wrong answers are included.
And S106, automatically generating the choice questions by the choice question editor according to the contents input by the integrated editing module and further editing the choice questions by the user.
The choice question editor includes the following two settings:
1. when the system outputs the selected questions, all correct options and part of wrong options are randomly extracted, namely wrong answers output each time are not all the same, so that the user can be effectively prevented from memorizing the wrong options and answering the questions by using a method of eliminating the wrong options;
2. the positions of all options can be randomly arranged when the system outputs the selected questions, so that the user can be effectively prevented from answering the questions by a method of memorizing the positions of the options.
The user arranges and edits the contents generated by the system on the choice question editor, corrects errors, adds, deletes or replaces error options recommended by the system, and then stores and discloses the contents.
Correspondingly, the method further comprises the following steps: storing and marking the choice questions edited and generated by the user by using a storage module;
and outputting the selection questions to be reviewed through the output module according to the selection information of the user.
Therefore, the user can share the selection questions edited by the user in the shared question bank and can also search the selection questions required by the user in the shared question bank, and the user can learn the selection questions conveniently; and the system integrates extensive thinking and can also learn the choice questions uploaded by other people.
Through above-mentioned scheme, have following advantage:
1. most knowledge points or other question types can be converted into a selection question mode for investigation;
2. the system sets the choice question editor, unify the form of all questions, the system unifies the input, output form of the knowledge point through setting the choice question editor, has greatly improved the commonality of different knowledge points, users can share the choice question edited by oneself to the shared question bank, can also search the choice question that oneself needs in the shared question bank, the great convenience is users' study;
3. the problems of various types are analyzed and decomposed, and then the problems are automatically filled into a choice problem editor, so that the editing time of a user is greatly reduced;
4. intelligent analysis is carried out on the text characteristics of the question surface and the correct answer, and then a plurality of wrong options are recommended for the user to select, so that the editing time of the user is greatly reduced;
5. the two settings of the question editor are selected, so that the reviewing certainty of the user in the reviewing process can be effectively improved.
Furthermore, in order to facilitate the learning of a user on a novel question type and the flexible mastering of the user on knowledge points, when a selection question is output, the comprehensive originality corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
Specifically, the originality degrees of the four parts are respectively equal to the product of the content proportion and the originality proportion of each part; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
In other embodiments, in order to make the comprehensive originality more accurate, another text similarity determination method is adopted, and the specific steps thereof refer to the text description of the foregoing system embodiment and are not described herein again.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. An intelligent question type conversion system based on a choice question editor is characterized by comprising an input module, a text module, an analysis module, an error answer recommendation module, an integrated editing module and a choice question editor;
the input module is used for acquiring the questions required by the user in an automatic mode; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types;
the text module is used for performing text processing on the title;
the analysis module is used for analyzing the textual question to obtain a question surface and a correct answer of the question;
the wrong answer recommending module is used for automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answers;
the integrated editing module is used for transmitting the analyzed content and the automatically generated error answers to the choice question editor;
and the selected question editor is used for automatically generating selected questions according to the content input by the integrated editing module and further editing the selected questions by a user.
2. The intelligent question switching system based on choice question editor of claim 1, wherein the choice question editor is further used for editing the wrong answers to generate new wrong answers, including editing the number of wrong answers and editing the content of the wrong answers;
the analysis module also analyzes the solution thought and knowledge point summary.
3. The intelligent question switching system based on choice question editor of claim 2, further comprising a storage module and an output module;
the storage module is used for storing and marking the choice questions edited and generated by the user;
and the output module is used for outputting the selection questions to be reviewed according to the selection information of the user.
4. The intelligent question type conversion system based on the choice question editor of claim 3, wherein when outputting the choice question, the comprehensive originality degree corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
5. The intelligent question editor-based question switching system according to claim 4, wherein the degrees of originality of said four parts are respectively equal to the product of the content ratio and the proportion of originality thereof; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
6. An intelligent question switching method based on choice question editor, which is applied to the intelligent question switching system based on choice question editor of any one of claims 1 to 5, the method comprises:
acquiring a title required by a user in an automatic mode by using an input module; the modes comprise a network crawling mode, a multimedia uploading mode and a scanning uploading mode; the questions comprise a plurality of question types;
the title is subjected to text processing through a text processing module;
analyzing the textual question by an analysis module to obtain a question surface and a correct answer of the question;
automatically generating a plurality of wrong answers for the user to select according to the question and the text characteristics of the correct answer through a wrong answer recommending module;
the integrated editing module transmits the analyzed content and the automatically generated error answers to the choice question editor;
and then the selected questions editor automatically generates selected questions according to the content input by the integrated editing module and provides the selected questions for further editing by the user.
7. The intelligent question switching method based on choice question editor of claim 6, characterized in that said method further comprises:
editing the wrong answers through the choice question editor to generate new wrong answers, wherein the editing of the number of the wrong answers and the editing of the content of the wrong answers are included;
and analyzing the solution thought and knowledge point summary through the analysis module.
8. The intelligent question switching method based on choice question editor of claim 7, wherein said method further comprises:
storing and marking the choice questions edited and generated by the user by using a storage module;
and outputting the selection questions to be reviewed through an output module according to the selection information of the user.
9. The intelligent question type conversion method based on the choice question editor of claim 8, wherein when outputting the choice question, the comprehensive originality corresponding to the question is also output;
the comprehensive originality is the sum of the originality of the four parts of the selected question face, the error option, the solution thought and the knowledge point summary after the selected question is edited.
10. The intelligent question converting method based on choice question editor of claim 9, wherein the originality of said four parts is equal to the product of the content ratio and the originality ratio of each of them; wherein, the content ratio is the ratio of the byte number of the part to the byte number of the whole topic after editing; the original proportion refers to the proportion of the number of non-repeated bytes in the number of bytes of the edited part compared with the same part of the most similar questions in the question bank after editing.
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