CN108920450B

CN108920450B - Knowledge point reviewing method based on electronic equipment and electronic equipment

Info

Publication number: CN108920450B
Application number: CN201810575295.3A
Authority: CN
Inventors: 朱文辉
Original assignee: Guangdong Genius Technology Co Ltd
Current assignee: Guangdong Genius Technology Co Ltd
Priority date: 2018-06-06
Filing date: 2018-06-06
Publication date: 2022-07-29
Anticipated expiration: 2038-06-06
Also published as: CN108920450A

Abstract

The invention relates to the technical field of electronic equipment, and discloses a knowledge point reviewing method based on electronic equipment and the electronic equipment, wherein the method comprises the following steps: after the electronic equipment detects a problem to be searched input by a user, the electronic equipment can identify the core attribute of the knowledge point corresponding to the problem to be searched, and search the related attribute associated with the core attribute, the content of the core knowledge point matched with the core attribute and the content of the related knowledge point matched with the related attribute; the electronic equipment combines the core attribute, the related attribute, the core knowledge point content and the related knowledge point content to obtain and store the target knowledge point content; and when the electronic equipment detects a review instruction input by a user, outputting and displaying the target knowledge point content. By implementing the embodiment of the invention, the problem searched by the user is subjected to knowledge point arrangement, the review and consolidation of the user are assisted, and the intelligent function of the electronic equipment is fully utilized to help the user improve the learning efficiency.

Description

Knowledge point reviewing method based on electronic equipment and electronic equipment

Technical Field

The invention relates to the technical field of electronic equipment, in particular to a knowledge point reviewing method based on electronic equipment and the electronic equipment.

Background

At present, with the development of learning electronic devices such as family education machines and learning tablets, more and more students can use the electronic devices to learn knowledge points. In practice, it is found that when a student searches for a knowledge point by using the electronic device, the electronic device only outputs content related to the knowledge point, and when the student needs to review the knowledge point, the student needs to search for the content related to the knowledge point again by using the electronic device, which results in low learning efficiency.

Disclosure of Invention

The embodiment of the invention discloses a knowledge point reviewing method based on electronic equipment and the electronic equipment, which can be used for sorting knowledge points of a problem searched by a user, helping the user to review and consolidate, and fully utilizing the intelligent function of the electronic equipment so as to help the user to improve the learning efficiency.

The first aspect of the embodiment of the invention discloses a knowledge point reviewing method based on electronic equipment, which comprises the following steps:

detecting a problem to be searched input by a user of the electronic equipment, identifying a target core attribute of a knowledge point corresponding to the problem to be searched, and acquiring a target related attribute associated with the target core attribute;

searching core knowledge point content matched with the target core attribute and searching related knowledge point content matched with the target related attribute;

Combining the target core attribute, the target correlation attribute, the core knowledge point content and the correlation knowledge point content to obtain and store target knowledge point content;

and when a review instruction input by a user is detected, controlling the electronic equipment to output and display the target knowledge point content.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the detecting a problem to be searched input by a user of the electronic device, and identifying a target core attribute of a knowledge point corresponding to the problem to be searched includes:

the method comprises the steps of detecting a problem to be searched input by a user of the electronic equipment, performing semantic analysis on the problem to be searched, extracting a knowledge point keyword contained in the problem to be searched, identifying a target knowledge point category of the problem to be searched according to the knowledge point keyword, and determining a target core attribute of the knowledge point keyword according to the target knowledge point category.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, before detecting a problem to be searched input by a user of the electronic device, identifying a target core attribute of a knowledge point corresponding to the problem to be searched, and acquiring a target related attribute associated with the target core attribute, the method further includes:

Classifying the knowledge points in each field to obtain a plurality of knowledge point categories;

determining the core attribute and the related attribute of each knowledge point category;

associating and storing each knowledge point category, the core attribute and the related attribute;

the obtaining of the target-related attribute associated with the target core attribute includes:

and searching all relevant attributes associated with the target core attribute by taking the target core attribute as an index, determining a matching value of the knowledge point corresponding to each relevant attribute and the key word of the knowledge point, and selecting the corresponding relevant attribute with the matching value in a preset range as the target relevant attribute.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the searching for core knowledge point content matching the target core attribute and searching for relevant knowledge point content matching the target relevant attribute includes:

determining interesting review modes according to the knowledge point categories, wherein the interesting review modes include but are not limited to an audio and video review mode and a game review mode;

selecting first review content which is contained in the interesting review mode and has the highest click quantity and is matched with the target core attribute, and setting the first review content as core knowledge point content;

And selecting second review contents which are contained in the interesting review mode, have the highest click rate and are matched with the relevant attributes of the target, and setting the second review contents as relevant knowledge point contents.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, when the review instruction input by the user is detected, the controlling the electronic device to output and display the target knowledge point content includes:

when a review instruction input by a user is detected, acquiring knowledge points contained in the review instruction and acquiring target knowledge point content matched with the knowledge points;

controlling the electronic equipment to output and display the target core attribute and the target related attribute contained in the target knowledge point content, and outputting inquiry information, wherein the inquiry information is used for inquiring whether a user needs to check the core knowledge point content and the related knowledge point content contained in the target knowledge point content;

when an instruction which is input by a user and used for indicating that the core knowledge point content and the related knowledge point content need to be viewed is detected, the electronic equipment is controlled to output and display the core knowledge point content and the related knowledge point content.

A second aspect of an embodiment of the present invention discloses an electronic device, including:

the identification unit is used for detecting a problem to be searched input by a user of the electronic equipment and identifying a target core attribute of a knowledge point corresponding to the problem to be searched;

an acquisition unit configured to acquire a target-related attribute associated with the target core attribute;

the searching unit is used for searching the core knowledge point content matched with the target core attribute and searching the related knowledge point content matched with the target related attribute;

the storage unit is used for combining the target core attribute, the target correlation attribute, the core knowledge point content and the correlation knowledge point content to obtain and store the target knowledge point content;

and the output unit is used for controlling the electronic equipment to output and display the content of the target knowledge point when a review instruction input by a user is detected.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the identification unit includes:

the extraction subunit is used for detecting a problem to be searched input by a user of the electronic equipment, and extracting knowledge point keywords contained in the problem to be searched through semantic analysis on the problem to be searched;

The identification subunit is used for identifying the category of the target knowledge point of the problem to be searched according to the knowledge point key word;

and the first determining subunit is used for determining the target core attribute of the knowledge point keyword according to the target knowledge point category.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the electronic device further includes:

the classification unit is used for classifying the knowledge points in each field to obtain a plurality of knowledge point categories before the identification unit detects the problem to be searched input by the user of the electronic equipment and identifies the target core attribute of the knowledge point corresponding to the problem to be searched;

the determining unit is used for determining the core attribute and the related attribute of each knowledge point category;

the association unit is used for associating and storing each knowledge point type, the core attribute and the related attribute;

the acquisition unit includes:

the searching subunit is used for searching all relevant attributes associated with the target core attribute by taking the target core attribute as an index;

the second determining subunit is used for determining a matching value of the knowledge point corresponding to each correlation attribute and the knowledge point keyword;

And the selecting subunit is used for selecting the corresponding correlation attribute of which the matching value is within a preset range as the target correlation attribute.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the search unit includes:

the third determining subunit is used for determining an interesting review mode according to the knowledge point category, wherein the interesting review mode comprises but is not limited to an audio and video review mode and a game review mode;

the first selection subunit is used for selecting first review content which is contained in the interesting review mode, has the highest click quantity and is matched with the target core attribute, and setting the first review content as core knowledge point content;

and the second selection subunit is used for selecting second review content which is contained in the interesting review mode, has the highest click quantity and is matched with the target related attributes, and setting the second review content as related knowledge point content.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the output unit includes:

the acquisition subunit is used for acquiring knowledge points contained in a review instruction and acquiring target knowledge point content matched with the knowledge points when the review instruction input by a user is detected;

A first output subunit, configured to control the electronic device to output and display the target core attribute and the target related attribute included in the target knowledge point content, and output query information, where the query information is used to query a user whether to check the core knowledge point content and the related knowledge point content included in the target knowledge point content;

and the second output subunit is used for controlling the electronic equipment to output and display the core knowledge point content and the related knowledge point content when detecting an instruction which is input by a user and used for indicating that the core knowledge point content and the related knowledge point content need to be viewed.

A third aspect of the embodiments of the present invention discloses another electronic device, including:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to perform part or all of the steps of any one of the methods of the first aspect.

A fourth aspect of the present embodiments discloses a computer-readable storage medium storing a program code, where the program code includes instructions for performing part or all of the steps of any one of the methods of the first aspect.

A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.

A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where when the computer program product runs on a computer, the computer is caused to execute part or all of the steps of any one of the methods in the first aspect.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, after the electronic equipment detects the problem to be searched, which is input by a user, the electronic equipment can identify the core attribute of the knowledge point corresponding to the problem to be searched, and search the relevant attribute associated with the core attribute, the content of the core knowledge point matched with the core attribute and the content of the relevant knowledge point matched with the relevant attribute; the electronic equipment combines the core attribute, the related attribute, the core knowledge point content and the related knowledge point content to obtain and store the target knowledge point content; and when the electronic equipment detects a review instruction input by a user, outputting and displaying the target knowledge point content. Therefore, by implementing the embodiment of the invention, when a user searches for a problem related to a certain knowledge point, the problem searched by the user can be sorted, when the user needs to review the knowledge point, the electronic equipment can directly output the sorted knowledge point without searching related knowledge points again, and besides the matched knowledge points can be pushed to the user for review and consolidation, the related knowledge points are pushed to the user for learning, the review and consolidation of the user is facilitated, and the intelligent function of the electronic equipment is fully utilized, so that the learning efficiency of the user is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a knowledge point reviewing method based on electronic equipment according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another knowledge point review method based on electronic equipment according to an embodiment of the present disclosure;

FIG. 3 is a schematic flow chart of another knowledge point review method based on electronic equipment according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;

FIG. 5 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;

FIG. 6 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;

fig. 7 is a schematic structural diagram of another electronic device disclosed in the embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

The embodiment of the invention discloses a knowledge point reviewing method based on electronic equipment and the electronic equipment, which can be used for sorting knowledge points of a problem searched by a user, helping the user to review and consolidate, and fully utilizing the intelligent function of the electronic equipment so as to help the user to improve the learning efficiency. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a knowledge point reviewing method based on electronic equipment according to an embodiment of the present invention. As shown in fig. 1, the method for reviewing knowledge points based on electronic equipment may include the following steps:

101. the electronic equipment detects the problem to be searched input by a user of the electronic equipment and identifies the target core attribute of the knowledge point corresponding to the problem to be searched.

In the embodiment of the present invention, the electronic device may be a family education machine, a learning tablet, or the like, which is not limited in the embodiment of the present invention.

In the embodiment of the present invention, the user may manually input the problem to be searched, or may input the problem to be searched in a voice manner, which is not limited in the embodiment of the present invention.

For example, a user can start the search question APP by clicking the search question APP on the learning tablet, a search question frame can be set in a use interface of the search question APP, and the user can click the search question frame and manually input a problem to be searched in the search question frame. The problem to be searched can be 'what the pronunciation of the spring word is', the knowledge point of the problem to be searched identified by the electronic equipment can be 'spring', and the target core attribute of the spring can be identified as the pronunciation.

As an alternative embodiment, the way in which the electronic device detects the question to be searched input by the user of the electronic device may include the following steps:

the method comprises the steps that the electronic equipment acquires first target voice in the environment where the electronic equipment is located through a microphone arranged on the electronic equipment;

the electronic equipment detects whether the first target voice contains a keyword for starting a search problem function;

If so, the electronic equipment receives a second target voice through the microphone and converts the second target voice into the problem to be searched through a voice recognition function, wherein the second target voice can be received after the first target voice.

By the implementation of the implementation mode, the user can input the problem to be searched in a voice mode, the user can search the target problem more conveniently, and the problem searching speed of the electronic equipment is further improved.

102. The electronic device obtains a target-related attribute associated with the target core attribute.

In the embodiment of the present invention, the target related attribute may be other attributes of the knowledge point associated with the target core attribute.

For example, when the question to be searched is "what the pronunciation of a spring word" the knowledge point corresponding to the question to be searched may be "spring", the target core attribute of "spring" may be identified as the pronunciation, and other attributes of "spring" may include phonetic sequence, homophone, radical, structure, stroke order, paraphrase, word formation, sentence formation, near-antisense word, word variation and word separation.

103. The electronic equipment searches the core knowledge point content matched with the target core attribute and searches the related knowledge point content matched with the target related attribute.

In the embodiment of the invention, the content of the core knowledge point and the content of the related knowledge point can be the content related to problems, so that a user can be helped to know the knowledge point more comprehensively, and the contents can be the contents such as games, audio, video and the like combined with the target core attribute or the target related attribute.

As an alternative implementation, the electronic device may search for core knowledge point content matching the target core attribute, and search for related knowledge point content matching the target related attribute, including the following steps:

the electronic device sends content acquisition information including the target core attribute and the target related attribute to the cloud server, so that the cloud server acquires core interesting contents matched with the target core attributes and related interesting contents matched with all target related attributes from the database, and calculates the popularity of all core interesting contents and the popularity of all related interesting contents through big data, further, the core interesting content with the highest popularity is associated with the target core attribute, each related interesting content with the highest popularity is sequentially associated with the corresponding target related attribute, and transmitting the core fun content associated with the target core attribute and the related fun content associated with the target related attribute to the electronic device, the number of the core interesting contents and the number of the related interesting contents are one or more;

The electronic device receives core funny content associated with the target core attribute and related funny content associated with the target related attribute, determines the core funny content as core knowledge point content matching the target core attribute, and determines the related funny content as related knowledge point content matching the target related attribute.

By the implementation of the implementation mode, the knowledge point content most popular with the user can be calculated based on the big data by using the cloud server, the accuracy of acquiring the knowledge point content is improved, and the interest of the user in reviewing according to the knowledge point content is further improved.

104. And the electronic equipment acquires and stores the target knowledge point content by combining the target core attribute, the target related attribute, the core knowledge point content and the related knowledge point content.

In the embodiment of the present invention, the electronic device may store all the contents of the target knowledge point in a memory of the electronic device, or may store the contents of the target knowledge point in a server that is connected to the electronic device in advance.

105. When a review instruction input by a user is detected, the electronic equipment controls the electronic equipment to output and display the content of the target knowledge point.

In the embodiment of the invention, the electronic equipment can output a review prompt which is used for prompting a user to review the knowledge points which are not mastered; the mode of inputting the review instruction by the user can be clicking a review key output by a screen of the electronic equipment, and can also be inputting voice containing review keywords in a voice mode.

As an optional implementation manner, after the electronic device performs step 105, the following steps may also be performed:

when the electronic equipment detects an instruction which is input by a user and used for indicating that review testing is required, the electronic equipment acquires all problems to be searched in a memory;

the electronic equipment carries out semantic analysis on all the problems to be searched, combines the problems to be searched with the same knowledge point category into one problem to be searched, and outputs all the problems to be searched;

when the electronic equipment detects a target answer which is input by a user and aims at a question to be searched, the electronic equipment judges whether the target answer is correct or not;

if the answer is correct, the electronic equipment deletes the problem to be searched corresponding to the target answer in the memory;

if not, the electronic equipment outputs an answer corresponding to the question to be searched, and marks the question to be searched as a difficult question.

By implementing the implementation mode, whether the user grasps the knowledge point corresponding to the problem to be searched can be detected, and if the fact that the user grasps the knowledge point is detected, the problem to be searched corresponding to the knowledge point can be deleted from the memory, so that the memory space of the electronic equipment is released.

In the method described in fig. 1, when a user searches for a problem related to a certain knowledge point, the problem searched by the user can be sorted into knowledge points, when the user needs to review the knowledge points, the electronic device can directly output the sorted knowledge points without searching related knowledge points again, and besides the matched knowledge points can be pushed to the user for review and consolidation, the related knowledge points are pushed to the user for learning, the user review and consolidation is helped, and the intelligent function of the electronic device is fully utilized, so that the learning efficiency of the user is helped to be improved. The method can also enable the user to input the problem to be searched in a voice mode, enable the user to search the target problem more conveniently, and further improve the speed of searching the problem by the electronic equipment. And detecting whether the user grasps the knowledge point corresponding to the problem to be searched, and deleting the problem to be searched corresponding to the knowledge point from the memory if detecting that the user grasps the knowledge point, thereby releasing the memory space of the electronic equipment. In addition, the cloud server can be used for calculating the knowledge point content most popular with the user based on the big data, so that the accuracy of acquiring the knowledge point content is improved, and the interest of the user in reviewing according to the knowledge point content is further improved.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart of another knowledge point reviewing method based on electronic equipment according to an embodiment of the invention. As shown in fig. 2, the method for reviewing knowledge points based on electronic equipment may include the following steps:

201. the electronic device classifies the knowledge points in each domain to obtain a plurality of knowledge point categories.

In the embodiment of the invention, the knowledge point categories can be classified according to the ages of users of the electronic equipment, the electronic equipment can acquire the teaching outline corresponding to the ages of the users and divide the knowledge points according to the teaching outline, and the knowledge point categories can be Chinese, mathematics, English and the like, and can also be pinyin, characters, words, sentences, ancient poems, compositions and the like.

At present, it can be understood that if the electronic device is in the categories of Chinese, mathematics, English and the like, a certain knowledge point category can be further refined, and the knowledge point category is refined into a plurality of knowledge point sub-categories. For example, the knowledge point category can be divided into: the classification such as chinese, mathematics and english, the chinese can also be detailed as: pinyin, characters, words, sentences, ancient poems, compositions and other subcategories. Based on the above introduction, the electronic device may classify knowledge points in each domain to obtain several knowledge point categories, and then further perform refined classification on the knowledge point categories to obtain knowledge point sub-categories of any one knowledge point category.

202. The electronic device determines the core attributes and associated attributes of each knowledge point category.

In the embodiment of the invention, the electronic equipment can determine all attributes of any knowledge point category, and select the attribute with the largest search amount from all the attributes through big data analysis, so that the attribute with the largest search amount can be determined as the core attribute of the knowledge point category, and the attributes except the core attribute in all the attributes can be determined as the related attributes of the knowledge point category.

Optionally, the electronic device specifically determines the core attribute and the related attribute of each knowledge point sub-category under each knowledge point category, for example, for the knowledge point sub-category "pinyin" under "language" as the knowledge point category, and thus takes pinyin as the core attribute, and takes pinyin-related phonetic sequence, homophone, radical, structure, stroke order, paraphrase, word formation, sentence making, near-antisense word, word breaking with variable word, and the like as the related attributes.

203. And the electronic equipment stores the category, the core attribute and the related attribute of each knowledge point in an associated manner.

In the embodiment of the present invention, by implementing the above steps 201 to 203, all knowledge points may be classified in advance, and each knowledge point category and the core attribute and the related attribute corresponding to the knowledge point category are stored in an associated manner, and when the core attribute and the related attribute corresponding to the problem to be searched are searched by the subsequent electronic device, the core attribute and the related attribute corresponding to the problem to be searched may be directly read from the memory of the electronic device, so that the speed of searching the core attribute and the related attribute corresponding to the problem to be searched by the electronic device is increased.

Specifically, under each knowledge point category, each knowledge point sub-category, the core attribute and the related attribute of the knowledge point sub-category are stored in an associated manner.

204. The electronic equipment detects the problem to be searched input by a user of the electronic equipment, and extracts the knowledge point keywords contained in the problem to be searched through semantic analysis on the problem to be searched.

205. The electronic equipment identifies the target knowledge point category of the problem to be searched according to the knowledge point key words, and determines the target core attribute of the knowledge point key words according to the target knowledge point category.

In the embodiment of the present invention, by implementing the above steps 204 to 205, the knowledge point category and the core attribute corresponding to the problem to be searched can be determined by performing semantic analysis on the problem to be searched, so that the accuracy of identifying the core attribute of the problem to be searched is improved.

As an alternative implementation, after the electronic device performs step 205, the following steps may also be performed:

the electronic equipment detects whether the problem to be searched is stored in association with the target knowledge point category and the target core attribute;

if the target knowledge point is not stored in an associated manner, the electronic equipment detects whether a searched problem which is stored in an associated manner with the target knowledge point category and the target core attribute exists or not;

If the searched problem exists, the electronic equipment stores the problem to be searched into a searched problem library associated with the target knowledge point category and the target core attribute;

if the searched problem does not exist, the electronic equipment establishes a searched problem library associated with the target knowledge point category and the target core attribute, and stores the problem to be searched in the searched problem library.

By implementing the implementation mode, different problems to be searched for in the same knowledge point category can be simultaneously associated with the knowledge point category for storage, and the electronic equipment does not need to search related contents in the same knowledge point category for multiple times, so that the data processing capacity of the electronic equipment is improved.

206. And the electronic equipment takes the target core attribute as an index and searches all related attributes associated with the target core attribute.

207. The electronic equipment determines the matching value of the knowledge point corresponding to each relevant attribute and the key word of the knowledge point, and selects the corresponding relevant attribute with the matching value within a preset range as the target relevant attribute.

In the embodiment of the invention, the matching value can be obtained by calculating the percentage of the number of times that the user jumps from the content of the target core attribute to the content of a certain relevant attribute to the total number of jumping times, and if the matching value of the knowledge point key word and the knowledge point corresponding to a certain relevant attribute is higher, the relevant attribute can be considered to be more relevant to the knowledge point key word.

In the embodiment of the present invention, by implementing steps 206 to 207, the most relevant target correlation attribute to the knowledge point keyword may be determined by calculating the matching value between the knowledge point corresponding to each correlation attribute and the knowledge point keyword, so that the obtained target correlation attribute has a higher matching degree with the knowledge point keyword.

Step 208 to step 210 are the same as step 103 to step 105, and the following description is omitted.

In the method described in fig. 2, the matched knowledge points can be pushed to the user for review and consolidation, and the associated knowledge points can be pushed to the user for learning, so as to help the user for review and consolidation, and make full use of the intelligent function of the electronic device, so as to help the user to improve the learning efficiency. And determining the most relevant target correlation attribute to the knowledge point keywords by calculating the matching value of the knowledge point corresponding to each correlation attribute and the knowledge point keywords, so that the matching degree of the acquired target correlation attribute and the knowledge point keywords is higher.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic flow chart of another knowledge point reviewing method based on electronic equipment according to an embodiment of the invention. As shown in fig. 3, the method for reviewing knowledge points based on electronic equipment may include the following steps:

Step 301 to step 307 are the same as step 201 to step 207, and the following description is omitted.

308. The electronic equipment determines interesting review modes according to the knowledge point categories, wherein the interesting review modes include but are not limited to an audio and video review mode and a game review mode.

In the embodiment of the present invention, the audio/video review mode may be contents of a song, a nursery rhyme, an animation, and the like, which include a core attribute or a related attribute of a knowledge point, and the game review mode may be an interactive game including a core attribute or a related attribute of a knowledge point, such as a happy ending including a word, a continuous watching including a synonym, and the like.

309. The electronic equipment selects the first review content which is contained in the interesting review mode and has the highest click quantity and is matched with the target core attribute, and the first review content is set as the core knowledge point content.

310. The electronic equipment selects second review content which is contained in the interesting review mode and has the highest click quantity and is matched with the relevant attributes of the target, and the second review content is set as the relevant knowledge point content.

In the embodiment of the present invention, by implementing the steps 308 to 310, an interesting review mode can be customized for the core attribute and the related attribute of the knowledge point, and the review content with high popularity can be pushed to the user, thereby improving the enthusiasm of the user for review.

311. And the electronic equipment acquires and stores the target knowledge point content by combining the target core attribute, the target related attribute, the core knowledge point content and the related knowledge point content.

312. When a review instruction input by a user is detected, the electronic equipment acquires knowledge points contained in the review instruction and acquires target knowledge point content matched with the knowledge points.

In the embodiment of the invention, the number of the knowledge points contained in the review instruction can be one or more, and when the number of the knowledge points contained in the review instruction is one, the electronic equipment can only acquire the content of the target knowledge points matched with the knowledge points; when the number of the knowledge points included in the review instruction is multiple, the electronic device may sequentially acquire the target knowledge point content matched with each knowledge point.

313. The electronic equipment controls the electronic equipment to output and display the target core attribute and the target related attribute contained in the target knowledge point content, and outputs inquiry information, wherein the inquiry information is used for inquiring whether a user needs to check the core knowledge point content and the related knowledge point content contained in the target knowledge point content.

314. The electronic device detects whether an instruction for indicating that the core knowledge point content and the related knowledge point content need to be checked is received, and if so, the step 315 is executed; if not, step 314 is performed.

315. And the electronic equipment controls the electronic equipment to output and display the core knowledge point content and the related knowledge point content.

In the embodiment of the present invention, by implementing the steps 312 to 315, the core attribute and the relevant attribute corresponding to the content of the knowledge point may be output first, and then the user is asked whether to check the content of the core knowledge point and the content of the relevant knowledge point corresponding to the core attribute and the relevant attribute, so that the use permission of the user is improved, and the diversified review requirements of the user are further satisfied.

In the method described in fig. 3, the matched knowledge points can be pushed to the user for review and consolidation, and the associated knowledge points can also be pushed to the user for learning, so as to help the user for review and consolidation, and make full use of the intelligent function of the electronic device, so as to help the user to improve the learning efficiency. The interesting review mode can be customized according to the core attribute and the related attribute of the knowledge point, review contents with high popularity can be pushed to the user, the enthusiasm of the user for review is improved, the use permission of the user is improved by inquiring whether the user needs to check the core knowledge point contents and the related knowledge point contents corresponding to the core attribute and the related attribute, and the diversified review requirements of the user are further met.

Example four

Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 4, the electronic device may include:

the identifying unit 401 is configured to detect a problem to be searched input by a user of the electronic device, and identify a target core attribute of a knowledge point corresponding to the problem to be searched.

As an alternative embodiment, the manner of detecting the question to be searched input by the user of the electronic device by the recognition unit 401 is specifically as follows:

acquiring a first target voice in the environment where the electronic equipment is located through a microphone arranged on the electronic equipment;

detecting whether the first target voice contains a keyword for starting a search problem function;

if so, receiving a second target voice through the microphone, and converting the second target voice into the question to be searched through a voice recognition function, wherein the second target voice can be received after the first target voice.

An obtaining unit 402, configured to obtain a target related attribute associated with the target core attribute identified by the identifying unit 401.

A searching unit 403, configured to search for core knowledge point content matching the target core attribute identified by the identifying unit 401, and search for related knowledge point content matching the target related attribute acquired by the acquiring unit 402.

As an optional implementation manner, the manner of searching for the core knowledge point content matched with the target core attribute and searching for the related knowledge point content matched with the target related attribute by the searching unit 403 is specifically as follows:

sending content acquisition information containing the target core attribute and the target related attribute to the cloud server to enable the cloud server to acquire core interesting content matched with the target core attribute and related interesting content matched with all the target related attributes from the database, and calculates the popularity of all core interesting contents and the popularity of all related interesting contents through big data, further, the core interesting content with the highest popularity is associated with the target core attribute, each related interesting content with the highest popularity is sequentially associated with the corresponding target related attribute, and transmitting the core fun content associated with the target core attribute and the related fun content associated with the target related attribute to the electronic device, the number of the core interesting contents and the number of the related interesting contents are one or more;

Receiving core interesting contents associated with the target core attribute and related interesting contents associated with the target related attribute, determining the core interesting contents as core knowledge point contents matched with the target core attribute, and determining the related interesting contents as related knowledge point contents matched with the target related attribute.

A storage unit 404, configured to obtain and store the target knowledge point content in combination with the target core attribute identified by the identification unit 401, the target correlation attribute acquired by the acquisition unit 402, the core knowledge point content searched by the search unit 403, and the related knowledge point content.

And an output unit 405, configured to control the electronic device to output and display the content of the target knowledge point stored in the storage unit 404 when a review instruction input by the user is detected.

As an alternative embodiment, the output unit 405 may be further configured to:

when an instruction which is input by a user and used for indicating that review testing is required is detected, all problems to be searched in a memory are obtained;

Performing semantic analysis on all the problems to be searched, combining the problems to be searched with the same knowledge point category into one problem to be searched, and outputting all the problems to be searched;

when a target answer which is input by a user and aims at a problem to be searched is detected, judging whether the target answer is correct or not;

if the answer is correct, deleting the problem to be searched corresponding to the target answer in the memory;

and if not, outputting an answer corresponding to the question to be searched, and marking the question to be searched as a difficult question.

It can be seen that, by implementing the electronic device described in fig. 4, not only can the knowledge point arrangement be performed on the problem searched by the user, when the user needs to review the knowledge point, the electronic device can directly output the arranged knowledge point without searching related knowledge points again, and besides pushing the matched knowledge point to the user for review consolidation, the electronic device can also push the related knowledge point to the user for learning, so as to help the user to review consolidation, and make full use of the intelligent function of the electronic device, so as to help the user to improve the learning efficiency. The problem to be searched can be input by the user in a voice mode, the user can search the target problem more conveniently, the problem to be searched corresponding to the knowledge point can be deleted from the memory when the knowledge point corresponding to the problem to be searched is detected and mastered by the user, and therefore the memory space of the electronic equipment is released. In addition, the cloud server can be used for calculating the knowledge point content most popular with the user based on the big data, so that the accuracy of acquiring the knowledge point content is improved, and the interest of the user in reviewing according to the knowledge point content is further improved.

EXAMPLE five

Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 5 is optimized from the electronic device shown in fig. 4. Compared to the electronic device shown in fig. 4, the identification unit 401 of the electronic device shown in fig. 5 may include:

the extracting sub-unit 4011 is configured to detect a problem to be searched, which is input by a user of the electronic device, and extract a knowledge point keyword included in the problem to be searched by performing semantic analysis on the problem to be searched.

The identifying sub-unit 4012 is configured to identify a category of the target knowledge point of the problem to be searched according to the knowledge point keyword extracted by the extracting sub-unit 4011.

The first determining sub-unit 4013 is configured to determine a target core attribute of the knowledge point keyword according to the target knowledge point category identified by the identifying sub-unit 4012.

As an alternative implementation, the first determining sub-unit 4013 may be further configured to:

detecting whether the problem to be searched is stored in association with the target knowledge point category and the target core attribute;

if the target knowledge point is not stored in a related mode, detecting whether a searched problem stored in a related mode with the target knowledge point category and the target core attribute exists or not;

If the searched problem exists, storing the problem to be searched into a searched problem library associated with the target knowledge point category and the target core attribute;

if no searched problem exists, establishing a searched problem library related to the target knowledge point category and the target core attribute, and storing the problem to be searched in the searched problem library.

In the embodiment of the invention, the knowledge point category and the core attribute corresponding to the problem to be searched can be determined by performing semantic analysis on the problem to be searched, so that the accuracy of identifying the core attribute of the problem to be searched is improved.

As an optional implementation, the electronic device may further include:

the classifying unit 406 is configured to classify the knowledge points in each field to obtain a plurality of knowledge point categories before the identifying unit 401 detects the problem to be searched input by the user of the electronic device and identifies the target core attribute of the knowledge point corresponding to the problem to be searched.

A determining unit 407, configured to determine the core attribute and the related attribute of each knowledge point category classified by the classifying unit 406.

The associating unit 408 associates and stores each knowledge point category classified by the classifying unit 406, the core attribute determined by the determining unit 407, and the related attribute.

By implementing the implementation mode, all knowledge points can be classified in advance, each knowledge point category and the core attribute and the relevant attribute corresponding to the knowledge point category are stored in an associated mode, and when the core attribute and the relevant attribute corresponding to the problem to be searched are searched by the electronic equipment subsequently, the core attribute and the relevant attribute can be directly read from the memory of the electronic equipment, so that the speed of searching the core attribute and the relevant attribute corresponding to the problem to be searched by the electronic equipment is increased.

As an optional implementation, the obtaining unit 402 may include:

the finding subunit 4021 is configured to find all relevant attributes associated with the target core attribute by using the target core attribute as an index.

The second determining subunit 4022 is configured to determine a matching value between the knowledge point corresponding to each of the relevant attributes searched by the searching subunit 4021 and the key word of the knowledge point.

A selecting subunit 4023, configured to select, as the target relevant attribute, the corresponding relevant attribute whose matching value determined by the second determining subunit 4022 is within a preset range.

By implementing the implementation mode, the most relevant target relevant attribute to the knowledge point keyword can be determined by calculating the matching value of the knowledge point corresponding to each relevant attribute and the knowledge point keyword, so that the matching degree of the obtained target relevant attribute and the knowledge point keyword is higher.

Example six

Referring to fig. 6, fig. 6 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 6 is optimized from the electronic device shown in fig. 5. Compared to the electronic device shown in fig. 5, the search unit 403 of the electronic device shown in fig. 6 may include:

a third determining subunit 4031, configured to determine an interesting review mode according to the knowledge point categories classified by the classifying unit 406, where the interesting review mode includes, but is not limited to, an audio and video review mode and a game review mode.

A first selecting subunit 4032, configured to select the first review content that is included in the interesting review pattern determined by the third determining subunit 4031 and has the highest click quantity and is matched with the target core attribute, and set the first review content as the core knowledge point content.

A second selecting subunit 4033, configured to select a second review content that is included in the interesting review pattern determined by the third determining subunit 4031 and has the highest click quantity and is matched with the target-related attribute, and set the second review content as a related knowledge point content.

In the embodiment of the invention, an interesting review mode can be customized according to the core attribute and the related attribute of the knowledge point, review contents with high popularity can be pushed to the user, and the enthusiasm of the user for review is improved.

As an alternative embodiment, the output unit 405 may include:

the obtaining sub-unit 4051 is configured to, when a review instruction input by a user is detected, obtain a knowledge point included in the review instruction, and obtain target knowledge point content matched with the knowledge point.

A first output sub-unit 4052, configured to control the electronic device to output the target core attribute and the target related attribute included in the target knowledge point content acquired by the display acquisition sub-unit 4051, and output query information, where the query information is used to query a user whether to check the core knowledge point content and the related knowledge point content included in the target knowledge point content.

A second output sub-unit 4053, configured to, when detecting an instruction input by the user to indicate that the core knowledge point content and the related knowledge point content need to be viewed, control the electronic device to output and display the core knowledge point content and the related knowledge point content included in the target knowledge point content acquired by the acquisition sub-unit 4051.

By implementing the implementation mode, the core attribute and the related attribute corresponding to the knowledge point content can be output firstly, and then the user is inquired whether the core knowledge point content and the related knowledge point content corresponding to the core attribute and the related attribute need to be checked, so that the use permission of the user is improved, and the diversified review requirements of the user are further met.

EXAMPLE seven

Referring to fig. 7, fig. 7 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. As shown in fig. 7, the electronic device may include:

a memory 701 in which executable program code is stored;

a processor 702 coupled to the memory 701;

wherein, the processor 702 calls the executable program code stored in the memory 701 to execute part or all of the steps of the method in the above method embodiments.

The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium stores program codes, wherein the program codes comprise instructions for executing part or all of the steps of the method in the above method embodiments.

Embodiments of the present invention also disclose a computer program product, wherein, when the computer program product is run on a computer, the computer is caused to execute part or all of the steps of the method as in the above method embodiments.

The embodiment of the present invention also discloses an application publishing platform, wherein the application publishing platform is used for publishing a computer program product, and when the computer program product runs on a computer, the computer is caused to execute part or all of the steps of the method in the above method embodiments.

Through implementing above-mentioned electronic equipment, can make full use of electronic equipment's intelligent function, carry out knowledge point arrangement to the problem of user's search to when it needs review to consolidate, study to the relevant content of user propelling movement together, in order to help the user to improve learning efficiency, grasp knowledge point comprehensively.

It should be understood that the embodiments described in this specification are exemplary of alternative embodiments and that the acts and modules illustrated are not required to practice the invention. It should also be understood by those skilled in the art that the sequence numbers of the above-mentioned processes do not imply any necessary sequence of execution, and the execution sequence of each process should be determined by its function and its inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

In the embodiments provided herein, it should be understood that "B corresponding to A" means that B is associated with A from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of each embodiment of the present invention.

The above detailed description is made on a knowledge point reviewing method based on electronic equipment and the electronic equipment disclosed in the embodiments of the present invention, and a specific example is applied in the present document to explain the principle and the implementation of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A knowledge point reviewing method based on electronic equipment is characterized by comprising the following steps:

detecting a problem to be searched input by a user of the electronic equipment, identifying a target core attribute of a knowledge point corresponding to the problem to be searched, and acquiring a target related attribute associated with the target core attribute; the target core attribute comprises an attribute with the largest search quantity in all attributes of the knowledge point categories corresponding to the knowledge point, or an attribute of a knowledge point sub-category under the knowledge point categories corresponding to the knowledge point, and the target related attribute comprises an attribute except the core attribute in all attributes of the knowledge point categories corresponding to the knowledge point;

2. The method of claim 1, wherein the detecting a question to be searched input by a user of the electronic device and identifying a target core attribute of a knowledge point corresponding to the question to be searched comprises:

3. The method of claim 2, wherein before detecting the question to be searched input by the user of the electronic device, identifying a target core attribute of the knowledge point corresponding to the question to be searched, and obtaining the target related attribute associated with the target core attribute, the method further comprises:

4. The method of claim 2, wherein the searching for core knowledge point content matching the target core attribute and searching for related knowledge point content matching the target related attribute comprises:

determining an interesting reviewing mode according to the category of the target knowledge point, wherein the interesting reviewing mode comprises but is not limited to an audio and video reviewing mode and a game reviewing mode;

and selecting second review content which is contained in the interesting review mode and has the highest click quantity and is matched with the target related attributes, and setting the second review content as related knowledge point content.

5. The method according to any one of claims 1 to 4, wherein the controlling the electronic device to output and display the target knowledge point content when a review instruction input by a user is detected comprises:

6. An electronic device, comprising:

the identification unit is used for detecting a problem to be searched input by a user of the electronic equipment and identifying a target core attribute of a knowledge point corresponding to the problem to be searched; the target core attribute comprises an attribute with the largest searching amount in all attributes of the knowledge point categories corresponding to the knowledge points, or an attribute of a knowledge point sub-category under the knowledge point categories corresponding to the knowledge points;

An acquisition unit configured to acquire a target-related attribute associated with the target core attribute; the target related attributes comprise attributes except the core attribute in all attributes of the knowledge point categories corresponding to the knowledge points;

7. The electronic device according to claim 6, wherein the identification unit includes:

8. The electronic device of claim 7, further comprising:

the acquisition unit includes:

and the selecting subunit is used for selecting the corresponding correlation attribute with the matching value within a preset range as the target correlation attribute.

9. The electronic device according to claim 7, wherein the search unit includes:

the third determining subunit is used for determining an interesting review mode according to the category of the target knowledge point, wherein the interesting review mode comprises but is not limited to an audio and video review mode and a game review mode;

10. The electronic device according to any one of claims 6 to 9, wherein the output unit includes: