CN109299399B - Learning content recommendation method and terminal equipment - Google Patents
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Abstract
The embodiment of the invention relates to the technical field of terminal equipment, and discloses a learning content recommendation method and terminal equipment, wherein the method comprises the following steps: receiving a search request of a user, wherein the search request carries a search problem; extracting at least one keyword from the search question; acquiring at least one label corresponding to each keyword by using a label distribution model; combining all the keywords, and counting the number of times of repetition corresponding to each label; selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target label are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range; recommending learning content corresponding to each target label for the user; therefore, the real search intention corresponding to the search problem can be determined according to the label, the targeted learning content is provided for the user, the search requirement of the user can be met, and the real recommendation meaning is achieved.
Description
Technical Field
The invention relates to the technical field of terminal equipment, in particular to a learning content recommendation method and terminal equipment.
Background
Currently, most students can utilize learning Applications (APPs) to perform problem search, and meanwhile, the learning APPs can also acquire search problems uploaded by users and recommend other learning contents to the users according to the search problems so as to help the users to enlarge learning knowledge planes. However, when learning content recommendation is performed by a learning APP at present, only relatively common learning content related to the search problem may be recommended to a user, and whether the recommended learning content is content required by the user is not considered, so that the recommendation method is relatively single, the recommendation effect is poor, and a real recommendation meaning is not achieved.
Disclosure of Invention
The embodiment of the invention discloses a learning content recommendation method and terminal equipment, which are used for solving the problem of poor recommendation effect caused by too single learning content recommendation mode in the prior art.
The invention discloses a recommendation method of learning content in a first aspect, which comprises the following steps:
receiving a search request of a user, wherein the search request carries a search problem;
extracting at least one keyword from the search question;
acquiring at least one label corresponding to each keyword by using a label distribution model;
combining all the keywords, and counting the number of times of repetition corresponding to each label;
selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
recommending the learning content corresponding to each target label for the user.
As an optional implementation manner, in the first aspect of the present invention, the selecting a tag corresponding to at least one of the repetition times, and obtaining at least one target tag includes:
acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type;
calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times;
calculating the total weight corresponding to the repetition times according to the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repetition times;
and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset number range.
As an optional implementation manner, in the first aspect of the present invention, the selecting a tag corresponding to at least one of the repetition times to obtain at least one target tag includes:
acquiring grade information and age information corresponding to a user;
and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
As an optional implementation manner, in the first aspect of the present invention, the receiving a search request of a user includes:
after the dictation units needing to be read are completely read, outputting and displaying all the dictation units;
detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units;
when the input voice is detected, it is determined that a search request of a user is received.
As an optional implementation manner, in the first aspect of the present invention, after recommending, to the user, the learning content corresponding to each target tag, the method includes:
identifying whether the age indicated by the age information is within a preset age range;
and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
A second aspect of the present invention discloses a terminal device, which may include:
the device comprises a receiving unit, a searching unit and a searching unit, wherein the receiving unit is used for receiving a searching request of a user, and the searching request carries a searching problem;
an extraction unit for extracting at least one keyword from the search question;
an obtaining unit, configured to obtain at least one tag corresponding to each keyword by using a tag distribution model;
the counting unit is used for combining all the keywords and counting the number of times of repetition corresponding to each label;
the selection unit is used for selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
and the recommending unit is used for recommending the learning content corresponding to each target label for the user.
As an optional implementation manner, in the second aspect of the present invention, the selecting unit is configured to select at least one tag corresponding to the repetition number, and a manner of obtaining at least one target tag specifically includes:
the selection unit is used for acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type; calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times; calculating the total weight corresponding to the repeated times according to the weight corresponding to the heat value, the weight corresponding to the heat index values of the subject and the question type and the weight corresponding to the repeated times; and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset quantity range.
As an optional implementation manner, in the second aspect of the present invention, the selecting unit is configured to select at least one tag corresponding to the repetition number, and a manner of obtaining at least one target tag specifically includes:
the selection unit is used for acquiring grade information and age information corresponding to the user; and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
As an optional implementation manner, in the second aspect of the present invention, the manner that the receiving unit is configured to receive the search request of the user is specifically:
the receiving unit is used for outputting and displaying all the dictation units after the dictation units needing to be read are completely read; detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units; and determining that a search request of a user is received when the input voice is detected.
As an optional implementation manner, in the second aspect of the present invention, the terminal device further includes:
the sending unit is used for identifying whether the age indicated by the age information is within a preset age range after the recommending unit recommends the learning content corresponding to each target label for the user; and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
A third aspect of the embodiments of the present invention discloses a terminal device, which may include:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the learning content recommendation method disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute the method for recommending learning content disclosed in the first aspect of the embodiments of the present invention.
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 the computer program product is configured to, when running on a computer, cause the computer to perform 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, a search request which is initiated by a user and carries a search problem is received, at least one keyword is extracted from the search request, at least one label corresponding to each keyword is further obtained by utilizing a label distribution model, the number of times of repetition of each label in all keywords is counted by combining all the keywords, at least one label corresponding to the number of times of repetition is selected, and at least one target label is obtained, wherein if all the times of repetition are sequenced from large to small, a preset number of times of repetition arranged in the front (namely the number of times of repetition is higher) is determined, then the labels corresponding to the preset number of times of repetition are taken as the target labels, finally, only learning content corresponding to the target labels is recommended to the user, keyword extraction can be carried out on the search problem, then the labels corresponding to all the keywords are comprehensively considered, the real search intention corresponding to the search problem is determined according to the label, so that targeted learning content is provided for the user, the search requirement of the user can be met, the recommendation effect is improved, and the real recommendation meaning is achieved.
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 flowchart illustrating a learning content recommendation method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a learning content recommendation method according to another embodiment of the disclosure;
fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a terminal device disclosed in another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal device according to another 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 should be noted that the terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a learning content recommendation method, which is used for providing targeted learning content for a user, meeting the search requirement of the user and improving the recommendation effect so as to play a real recommendation meaning. The embodiment of the invention also correspondingly discloses the terminal equipment.
The terminal device related to the embodiment of the present invention may be a family education machine, a smart Phone, a tablet computer, and the like, and the operating system of the terminal device may include, but is not limited to, an Android operating system, an IOS operating system, a Symbian operating system, a Black Berry operating system, a Windows Phone8 operating system, and the like. The technical solution of the present invention will be described in detail with reference to specific embodiments from the perspective of terminal equipment.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a learning content recommendation method according to an embodiment of the present invention; as shown in fig. 1, the method for recommending learning content may include:
101. the terminal equipment receives a search request of a user, wherein the search request carries a search problem.
Wherein, terminal equipment can embed to have study type APP, is provided with search function in APP, and the user is at ordinary times or when doing the homework, if run into not understanding or obscure problem, can search through APP to obtain corresponding answer. The APP can be provided with a search bar, a user can input a search request in the search bar, and the terminal device detects the search request input in the search bar by the user.
As an optional implementation manner, a photographing button is further disposed beside the search bar, and the receiving, by the terminal device, the search request of the user may include: the terminal device detects the clicking operation of the user on the photographing button, a camera built in the terminal device is called in response to the clicking operation, a photographing interface is opened, the text content including the search problem is subjected to image preview through a preview area in the photographing interface to obtain a preview image, when a photographing instruction input by the user is detected, the preview image is photographed to obtain a photographed image, and the search problem is identified from the photographed image. Through this embodiment, the user can be through the search problem of mode input of shooing, and the operation is more convenient, especially when the search problem that the characters is more or the expression form is comparatively complicated, and the input mode of shooing is more convenient.
In another optional implementation, the receiving, by the terminal device, the search request of the user may include: the method comprises the steps that a Near Field Communication (NFC) module is arranged in terminal equipment, the terminal equipment opens a learning APP, the learning APP is logged in through account information, the selection operation of a face-to-face friend adding function in friend adding and selection is detected, the built-in NFC module is called in response to the selection operation, a user name of another terminal equipment on the same learning APP is read from another terminal equipment with the built-in NFC module by utilizing the NFC module, the user name is input into a search bar, a user corresponding to the user name is searched through a user search bar, when the user corresponding to the user name is searched, the user corresponding to the user name is added to a friend list, the user is searched from friends in the list according to the user operation, a chat window with the user is opened, and the search problem sent by the other user is received from the chat window. By the method, the social function can be added to the learning APP, and then the search problem needing to be solved is obtained from the friends.
102. The terminal device extracts at least one keyword from the search question.
As an optional implementation manner, after extracting a keyword from a search question, the terminal device identifies whether the keyword matches any sensitive vocabulary in a sensitive list, wherein the sensitive list is set by a parent terminal when the parent terminal remotely controls the family education device, and the sensitive list includes a plurality of sensitive vocabularies; if the keyword is matched with any sensitive word in the sensitive list, sending a message for informing the user that the sensitive word in the sensitive list is to be searched to the parent terminal; if the keyword does not match any sensitive vocabulary in the sensitive list, step 103 is executed. Through the implementation mode, the user can be prevented from searching sensitive words which are not matched with the age of the user by himself, so that the thought development of the user is influenced, and even the growth of the user is influenced.
103. And the terminal equipment acquires at least one label corresponding to each keyword by using the label distribution model.
It can be understood that a plurality of labels are provided in the embodiment of the present invention, for example, a label may be provided for a subject, a topic, and the like, for example, a label may be provided for a Chinese language, a label may be provided for a math language, and further, a label may be provided on the basis of a Chinese language, for example, a label may be provided for an idiom, and a label may be provided for an ancient poetry. For convenience of understanding, it may be considered that the label set corresponding to the subject is a primary label, and the label set corresponding to the subject type under the subject is a secondary label, for example, the primary label of the language is Y, and the secondary label corresponding to the ancient poetry under the language is Y3. The first-level tag or the second-level tag may be regarded as a single tag, that is, the tag mentioned in the embodiment of the present invention may be a first-level tag or a second-level tag.
Furthermore, a third-level label may be further provided on the basis, for example, a third-level label is provided corresponding to a down poem under the ancient chinese poem, and another third-level label is provided corresponding to a song word under the ancient chinese poem. It can also be understood that, according to actual needs, a fourth-level tag and a tag with more than four levels may also be set in the embodiments of the present invention, which are not described herein again.
104. And the terminal equipment combines all the keywords to count the number of times of repetition corresponding to each label.
It is understood that at least one tag corresponds to one keyword, and the tags corresponding to any two keywords may have the same tag, so that the corresponding tags may have repetition times. For example, there are three keywords in total, where keyword 1 corresponds to two tags, i.e., tag 1 and tag 2, keyword 2 corresponds to three tags, i.e., tag 1, tag 2 and tag 5, and keyword 3 corresponds to tag 2 and tag 3, so that the number of repetitions of tag 1 is 2, the number of repetitions of tag 2 is 3, the number of repetitions of tag 3 is 1, and the number of repetitions of tag 5 is 1.
105. The terminal equipment selects at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when being sorted from large to small and are within a preset number range.
With reference to the example in step 104, the repetition times of tags 1 to 3 and tag 5 are sorted from large to small, and then they are respectively: the number of tag 2-repeats is 3, the number of tag 1-repeats is 2, the number of tag 3-repeats is 1, and the number of tag 5-repeats is 1. If the preset number is 3, the determined target tags are tag 2, tag 1 and tag 3 respectively.
As an optional implementation manner, the selecting, by the terminal device, a tag corresponding to at least one repetition number, and obtaining at least one target tag may include:
acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type;
calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic type and the weight corresponding to the repetition times;
calculating the total weight corresponding to the repetition times according to the weight corresponding to the heat value, the weight corresponding to the heat index values of the subject and the question type and the weight corresponding to the repetition times;
and selecting a label corresponding to at least one total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset number range.
In the above embodiment, the learning content corresponding to the tag has a corresponding search heat value, and the heat index value of the subject and question type corresponding to the tag, where the search heat value is determined according to the condition searched by the user, and the number of searches on the network can be counted, and the heat index value of the subject and question type refers to the social receiving popularity of the subject and question type, and the like.
106. And the terminal equipment recommends the learning content corresponding to each target label for the user.
In the embodiment of the invention, a search request which is initiated by a user and carries a search problem is received, at least one keyword is extracted from the search request, at least one label corresponding to each keyword is further obtained by utilizing a label distribution model, the number of times of repetition of each label in all keywords is counted by combining all the keywords, at least one label corresponding to the number of times of repetition is selected, and at least one target label is obtained, wherein if all the times of repetition are sequenced from large to small, a preset number of times of repetition arranged in the front (namely the number of times of repetition is higher) is determined, then the labels corresponding to the preset number of times of repetition are taken as the target labels, finally, only learning content corresponding to the target labels is recommended to the user, keyword extraction can be carried out on the search problem, then the labels corresponding to all the keywords are comprehensively considered, the real search intention corresponding to the search problem is determined according to the label, so that targeted learning content is provided for the user, the search requirement of the user can be met, the recommendation effect is improved, and the real recommendation meaning is achieved.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a learning content recommendation method according to another embodiment of the present invention; as shown in fig. 2, the method for recommending learning content may include:
201. the terminal equipment receives a search request of a user, wherein the search request carries a search problem.
As an optional implementation manner, the receiving, by the terminal device, the search request of the user may include:
after the dictation units needing to be read are completely read, all the dictation units are output and displayed;
detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units;
when the input voice is detected, it is determined that a search request of the user is received.
In the above embodiment, the user can search for the unintelligible or unclear dictation unit encountered during the dictation process to further learn to understand.
202. The terminal device extracts at least one keyword from the search question.
203. And the terminal equipment acquires at least one label corresponding to each keyword by using the label distribution model.
204. And the terminal equipment combines all the keywords to count the number of times of repetition corresponding to each label.
205. And the terminal equipment acquires the grade information and the age information corresponding to the user.
206. And the terminal equipment determines at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repetition times.
It can be understood that the terminal device may determine the target tag according to the grade information and the age information, so as to select the learning content matched with the grade information and the age information of the user.
207. And the terminal equipment recommends the learning content corresponding to each target label for the user.
208. The terminal device identifies whether the age indicated by the age information is within a preset age range.
Wherein, when the age is within the preset age range, the process goes to step 209; if the age is not within the preset age range, the process is ended.
209. And the terminal equipment sends the learning content corresponding to each target label to the parent terminal so that the parent terminal assists the user in learning the learning content.
Through the embodiment, a search request which is initiated by a user and carries a search question is received, at least one keyword is extracted from the search request, at least one label corresponding to each keyword is obtained by further utilizing a label distribution model, the repeated times of each label in all keywords are counted by combining all the keywords, and then at least one target label is obtained by combining the grade information and the age information of the user so as to select the learning content matched with the grade information and the age information of the user, so that the keyword extraction can be realized for the search question, the labels corresponding to all the keywords are comprehensively considered, the real search intention corresponding to the search question is determined according to the labels, the targeted learning content is provided for the user, the search requirement of the user can be met, and the recommendation effect is improved, so as to play a real recommendation role.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the disclosure; as shown in fig. 3, the terminal device may include:
a receiving unit 310, configured to receive a search request of a user, where the search request carries a search question;
an extracting unit 320 for extracting at least one keyword from the search question;
an obtaining unit 330, configured to obtain, by using a tag distribution model, at least one tag corresponding to each keyword;
a counting unit 340, configured to count, in combination with all the keywords, a number of repetitions corresponding to each tag;
a selecting unit 350, configured to select at least one tag corresponding to the repetition times, so as to obtain at least one target tag; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
and the recommending unit 360 is configured to recommend the learning content corresponding to each target tag for the user.
The terminal equipment is implemented, a search request which is initiated by a user and carries a search problem is received, at least one keyword is extracted from the search request, at least one label corresponding to each keyword is further obtained by utilizing a label distribution model, the number of times of repetition of each label in all keywords is counted by combining all the keywords, the label corresponding to at least one number of times of repetition is selected, and at least one target label is obtained, wherein if all the times of repetition are sequenced from large to small, a preset number of times of repetition arranged in front (namely the number of times of repetition is higher) is determined, then the labels corresponding to the preset number of times of repetition are taken as the target labels, finally, only learning content corresponding to the target labels is recommended to the user, keyword extraction can be carried out on the search problem, and then the labels corresponding to all the keywords are comprehensively considered, the real search intention corresponding to the search problem is determined according to the label, so that targeted learning content is provided for the user, the search requirement of the user can be met, the recommendation effect is improved, and the real recommendation meaning is achieved.
As an optional implementation manner, the selecting unit 350 is configured to select at least one tag corresponding to the repetition number, and a manner of obtaining at least one target tag specifically includes:
the selecting unit 350 is configured to obtain the searched heat value of each label and the heat index value of the corresponding subject and question type; calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times; calculating the total weight corresponding to the repeated times according to the weight corresponding to the heat value, the weight corresponding to the heat index values of the subject and the question type and the weight corresponding to the repeated times; and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset quantity range.
As an optional implementation manner, a photographing button is further disposed beside the search bar, and the manner for receiving the search request of the user by the receiving unit 310 is specifically as follows: detecting the click operation of a user on the photographing button, calling a camera built in the terminal equipment in response to the click operation, opening a photographing interface, previewing the text content including the search problem through a preview area in the photographing interface to obtain a preview image, photographing the preview image when a photographing instruction input by the user is detected, obtaining a photographed image, and identifying the search problem from the photographed image. Through this embodiment, the user can be through the search problem of mode input of shooing, and the operation is more convenient, especially when the search problem that the characters is more or the expression form is comparatively complicated, and the input mode of shooing is more convenient.
In another alternative embodiment, the receiving unit 310 may be configured to receive the search request of the user, and includes: the method includes the steps that a Near Field Communication (NFC) module is arranged in terminal equipment, a receiving unit 310 opens a learning APP, the learning APP is logged in through account information, selection operation of a face-to-face friend adding function in friend adding and selection is detected, a built-in NFC module is called in response to the selection operation, a user name of another terminal equipment on the same learning APP is read from another terminal equipment with the built-in NFC module through the NFC module, the user name is input into a search bar, a user corresponding to the user name is searched through a user search bar, when the user corresponding to the user name is searched, the user corresponding to the user name is added to a friend list, the user is searched from the friend list according to user operation, a chat window with the user is opened, and a search problem sent by the opposite user is received from the chat window. By the method, the social function can be added to the learning APP, and then the search problem needing to be solved is obtained from the friends.
As an optional implementation manner, after extracting at least one keyword from the search question, the extracting unit 320 is configured to identify whether the keyword matches any sensitive vocabulary in a sensitive list, where the sensitive list is set by a parent terminal when the family education device is remotely controlled, and the sensitive list includes a plurality of sensitive vocabularies; if the keyword is matched with any sensitive word in the sensitive list, sending a message for informing the user that the sensitive word in the sensitive list is to be searched to the parent terminal; if the keyword does not match any sensitive vocabulary in the sensitive list, the acquiring unit 330 is triggered to execute the corresponding steps. Through the implementation mode, the user can be prevented from searching sensitive words which are not matched with the age of the user by himself, so that the thought development of the user is influenced, and even the growth of the user is influenced.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of a terminal device according to another embodiment of the disclosure; the terminal device shown in fig. 4 is obtained by performing optimization on the basis of the terminal device shown in fig. 3, in the terminal device shown in fig. 4, the selecting unit 350 is configured to select at least one tag corresponding to the repetition number, and a manner of obtaining at least one target tag specifically includes:
the selecting unit 350 is configured to obtain the grade information and the age information corresponding to the user; and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
Furthermore, the terminal device further includes: a transmitting unit 410.
The sending unit 410 is configured to identify whether the age indicated by the age information is within a preset age range after the recommending unit 360 recommends the learning content corresponding to each target tag for the user; and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
As an optional implementation manner, the manner that the receiving unit 310 is configured to receive the search request of the user is specifically:
the receiving unit 310 is configured to output and display all the dictation units after the dictation units needing to be read are completely read; detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units; and determining that a search request of a user is received when the input voice is detected.
By implementing the terminal device shown in fig. 4, a search request with a search question initiated by a user is received, then at least one keyword is extracted from the search request, further a label distribution model is utilized to obtain at least one label corresponding to each keyword, all the keywords are combined, the number of times of repetition of each label in all the keywords is counted, then the grade information and the age information of the user are combined to obtain at least one target label, so as to select the learning content matched with the grade information and the age information of the user, therefore, the keyword extraction can be performed on the search question, then the labels corresponding to the keywords are comprehensively considered, the real search intention corresponding to the search question is determined according to the labels, and therefore, the targeted learning content is provided for the user, the search requirement of the user can be met, and the recommendation effect is improved, so as to play a real recommendation role.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of a terminal device according to another embodiment of the disclosure; the terminal device shown in fig. 5 may include: at least one processor 510, such as a CPU, a communication bus is used to enable communication connections between these components. Memory 520 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 520 may optionally be at least one memory device located remotely from the processor 510. Wherein the processor 510 may be combined with the terminal device described in fig. 3 to 4, a set of program codes is stored in the memory 510, and the processor 510 calls the program codes stored in the memory 520 to perform the following operations:
receiving a search request of a user, wherein the search request carries a search problem;
extracting at least one keyword from the search question;
acquiring at least one label corresponding to each keyword by using a label distribution model;
combining all the keywords, and counting the number of times of repetition corresponding to each label;
selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
recommending the learning content corresponding to each target label for the user.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type;
calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times;
calculating the total weight corresponding to the repetition times according to the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repetition times;
and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset number range.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
acquiring grade information and age information corresponding to a user;
and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
after the dictation units needing to be read are completely read, outputting and displaying all the dictation units;
detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units;
when the input voice is detected, it is determined that a search request of a user is received.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
after recommending learning content corresponding to each target label for a user, identifying whether the age indicated by the age information is within a preset age range;
and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
An embodiment of the present invention further discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the learning content recommendation method disclosed in fig. 1 to 2.
An embodiment of the present invention further discloses a computer program product, which, when running on a computer, causes the computer to execute part or all of the steps of any one of the methods disclosed in fig. 1 to 2.
An embodiment of the present invention further 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 enabled to execute part or all of the steps of any one of the methods disclosed in fig. 1 to fig. 2.
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 method for recommending learning content and the terminal device disclosed by the embodiment of the invention are described in detail, a specific example is applied in the description to explain the principle and the implementation of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the 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 (8)
1. A recommendation method of learning content, comprising:
receiving a search request of a user, wherein the search request carries a search problem;
extracting at least one keyword from the search question;
acquiring at least one label corresponding to each keyword by using a label distribution model; one keyword corresponds to at least one label, and zero or at least one same label exists in the labels corresponding to any two keywords;
combining all the keywords, and counting the number of times of repetition corresponding to each label;
selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
recommending learning content corresponding to each target label for a user;
the receiving of the search request of the user comprises:
after the dictation units needing to be read are completely read, outputting and displaying all the dictation units;
detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units;
when the input voice is detected, it is determined that a search request of a user is received.
2. The method of claim 1, wherein the selecting at least one label corresponding to the repetition number comprises:
acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type;
calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times;
calculating the total weight corresponding to the repetition times according to the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repetition times;
and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset number range.
3. The method according to claim 1, wherein the selecting at least one label corresponding to the repetition number to obtain at least one target label comprises:
acquiring grade information and age information corresponding to a user;
and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
4. The method according to claim 3, wherein after recommending the learning content corresponding to each target tag for the user, the method comprises:
identifying whether the age indicated by the age information is within a preset age range;
and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
5. A terminal device, comprising:
the device comprises a receiving unit, a searching unit and a searching unit, wherein the receiving unit is used for receiving a searching request of a user, and the searching request carries a searching problem;
an extraction unit for extracting at least one keyword from the search question;
an obtaining unit, configured to obtain at least one tag corresponding to each keyword by using a tag distribution model; one keyword corresponds to at least one label, and zero or at least one same label exists in the labels corresponding to any two keywords;
the counting unit is used for combining all the keywords and counting the number of times of repetition corresponding to each label;
the selection unit is used for selecting at least one label corresponding to the repetition times to obtain at least one target label; the target repetition times corresponding to the target labels are all the repetition times which are arranged in front when the repetition times are sorted from large to small and are within a preset number range;
the recommending unit is used for recommending the learning content corresponding to each target label for the user;
the receiving unit is specifically configured to receive a search request of a user in a manner that:
the receiving unit is used for outputting and displaying all the dictation units after the dictation units needing to be read are completely read; detecting whether input voice of a user is received or not, wherein the input voice carries a search problem for requesting to search a target dictation unit, and the target dictation unit is any one of the dictation units; and determining that a search request of a user is received when the input voice is detected.
6. The terminal device according to claim 5, wherein the selecting unit is configured to select at least one tag corresponding to the repetition number, and the manner of obtaining at least one target tag specifically is:
the selection unit is used for acquiring the searched heat value of each label and the heat index value of the corresponding subject and question type; calculating the weight corresponding to the heat value, the weight corresponding to the heat index value of the subject and the topic and the weight corresponding to the repeated times; calculating the total weight corresponding to the repeated times according to the weight corresponding to the heat value, the weight corresponding to the heat index values of the subject and the question type and the weight corresponding to the repeated times; and selecting at least one label corresponding to the total weight to obtain at least one target label, wherein the target total weight corresponding to the target label is the total weight of all the total weights which are arranged in front when the total weights are sorted from large to small according to the weight value and are in a preset quantity range.
7. The terminal device according to claim 5, wherein the selecting unit is configured to select at least one tag corresponding to the repetition number, and the manner of obtaining at least one target tag specifically is:
the selection unit is used for acquiring grade information and age information corresponding to the user; and determining at least one target label respectively matched with the grade information and the age information from the labels corresponding to the repeated times.
8. The terminal device according to claim 7, wherein the terminal device further comprises:
the sending unit is used for identifying whether the age indicated by the age information is within a preset age range after the recommending unit recommends the learning content corresponding to each target label for the user; and when the target label is in the preset age range, the learning content corresponding to the target label is sent to the parent terminal, so that the parent terminal assists the user in learning the learning content.
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| CN111611339B (en) * | 2019-02-22 | 2024-09-10 | 北京搜狗科技发展有限公司 | Recommendation method and related device for inputting related users |
| CN111726789B (en) * | 2019-03-21 | 2024-06-28 | 博泰车联网科技(上海)股份有限公司 | First mobile terminal, friend adding method and system |
| CN111081103B (en) * | 2019-05-17 | 2022-03-01 | 广东小天才科技有限公司 | Dictation answer obtaining method, family education equipment and storage medium |
| CN111753153A (en) * | 2019-11-25 | 2020-10-09 | 广东小天才科技有限公司 | Error problem information collection method, electronic device, storage medium, and program product |
| CN111400471B (en) * | 2020-03-13 | 2022-09-27 | 江苏满运软件科技有限公司 | Question recommendation method, system, electronic device and storage medium |
| CN112188458A (en) * | 2020-09-29 | 2021-01-05 | 深圳市创新佳电子标签有限公司 | NFC social software system |
| CN115660913A (en) * | 2022-11-09 | 2023-01-31 | 读书郎教育科技有限公司 | System and method for customizing learning content for user |
| CN116595249B (en) * | 2023-04-28 | 2024-03-22 | 广东津虹数字科技有限公司 | Personality recommendation method, system, electronic device and computer program product |
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| CN105893440A (en) * | 2015-12-15 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Associated application recommendation method and apparatus |
| CN105740404A (en) * | 2016-01-28 | 2016-07-06 | 上海晶赞科技发展有限公司 | Label association method and device |
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