CN113158059A - Information processing method and device based on information cloud platform - Google Patents
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- 230000010365 information processing Effects 0.000 title claims abstract description 28
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Abstract
The invention provides an information processing method and device based on an information cloud platform, wherein the information processing method comprises the following steps: when the target user operation input box is detected, determining a keyword input by the target user; the input box is positioned in a user interface of the information cloud platform; generating reference recommendation information for the target user based on the keyword; acquiring user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user; and determining target recommendation information aiming at the target user from the reference recommendation information based on the user information. According to the scheme, the target user does not need to spend a large amount of time on browsing and screening the information in the information platform, and the efficiency of using the information cloud platform by the target user is improved.
Description
Technical Field
The invention relates to a management and control system, in particular to an information processing method and device based on an information cloud platform, and belongs to the field of information processing.
Background
With the development of network technology, the information acquisition speed is increasingly accelerated, and for students in schools, the method for acquiring information through the network is a common way for developing out-of-class learning. In the prior art, in order to provide help for students in learning or living, schools may provide more available information for students by means of an information cloud platform.
However, since the information contained in the information cloud platform is relatively extensive and complex, when a student needs to query the required information by means of the information cloud platform, the student needs to browse and screen various types of information of the information cloud platform, which consumes more time, resulting in lower efficiency.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an information processing method and device based on an information cloud platform, which are used for solving the technical problem that when a student needs to inquire required information by means of the information cloud platform, the student needs to browse and screen various types of information of the information cloud platform, the time consumption is large, and the efficiency is low.
In a first aspect, an embodiment of the present invention provides an information processing method based on an information cloud platform, including:
when the target user operation input box is detected, determining a keyword input by the target user; the input box is positioned in a user interface of the information cloud platform;
generating reference recommendation information for the target user based on the keyword;
acquiring user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
and determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
Optionally, the generating reference recommendation information for the target user based on the keyword includes:
determining a plurality of target information matched with the keywords from the information cloud platform; the target information is information contained in an access page of the information platform;
and generating reference recommendation information aiming at the target user according to the historical visit quantity of the target information.
Optionally, the historical access amount includes a download amount and a browsing amount; the generating of the reference recommendation information for the target user according to the historical visit amount of the target information comprises:
aiming at each target information, determining the access evaluation score of the target information by adopting a preset score calculation formula; selecting target information with an access evaluation score reaching a preset threshold value from the plurality of target information as reference recommendation information for the target user;
the preset score calculation formula comprises:
wherein, T represents access assessment score, D represents download amount, M represents browsing amount, alphaiA first weight coefficient, mu, characterizing an ith predetermined time periodiA second weight coefficient characterizing the ith preset time period, wherein alphai>μiAnd k represents the number of preset time periods.
Optionally, the target information comprises an electronic document; the determining, from the information cloud platform, a plurality of target information matched with the keyword includes:
acquiring a reference identifier corresponding to the keyword; the reference mark is a mark used for representing a subject field corresponding to the keyword;
and searching a plurality of electronic documents with reference identifications matched with the reference identifications corresponding to the keywords from the information cloud platform, and taking the electronic documents as a plurality of target information matched with the keywords.
Optionally, the determining, from the reference recommendation information based on the user information, target recommendation information for the target user includes:
and screening information matched with the academic information or the out-of-class practice information of the target user from the reference recommendation information to obtain target recommendation information for the target user.
Optionally, after determining the target recommendation information for the target user, the method further includes:
generating a target recommendation identifier for the target recommendation information;
and constructing a mapping relation between the keywords and the target recommendation identification.
Optionally, after determining the keyword input by the target user, before generating reference recommendation information for the target user based on the keyword, the method further includes:
inquiring whether a target recommendation identifier corresponding to the keyword exists in a mapping relation between the keyword and the recommendation identifier, which is constructed in advance, if not, executing the reference recommendation information aiming at the target user based on the keyword; and if so, taking the target recommendation information corresponding to the target recommendation identification as the target recommendation information for the target user.
In a second aspect, an embodiment of the present invention provides an information processing apparatus based on an information cloud platform, including:
the word detection module is used for determining the keywords input by the target user when the target user operation input box is detected;
the word generation module is used for generating reference recommendation information aiming at the target user based on the keywords;
the information acquisition module is used for acquiring the user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
and the information determining module is used for determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the steps of any one of the information processing methods based on the information cloud platform when executing the program stored in the memory.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when being executed by a processor, the computer program implements any of the steps of the information processing method based on the information cloud platform.
The invention has the beneficial effects that:
the invention provides an information processing method based on an information cloud platform, which comprises the following steps: when the target user operation input box is detected, determining a keyword input by the target user; the input box is positioned in a user interface of the information cloud platform; generating reference recommendation information for the target user based on the keyword; acquiring user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user; and determining target recommendation information aiming at the target user from the reference recommendation information based on the user information. Therefore, in the scheme, when the target user retrieves information through the information cloud platform, the information related to the keyword can be screened out from the information cloud platform through the keyword input by the target user, and then the information which is more matched with the requirement of the target user can be further screened out from the screened information by combining the academic information and the extracurricular time information of the target user, so that the target user does not need to spend a large amount of time on browsing and screening the information in the information cloud platform, and the efficiency of the target user in using the information cloud platform is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic flow chart of an information processing method based on an information cloud platform according to the present invention;
FIG. 2 is another schematic flow chart of an information processing method based on an information cloud platform according to the present invention;
FIG. 3 is a schematic structural diagram of an information processing apparatus based on an information cloud platform according to the present invention;
fig. 4 is another schematic structural diagram of an information processing apparatus based on an information cloud platform according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
In order to solve the technical problem that when a student needs to inquire required information by means of the information cloud platform, the student needs to browse and screen various information of the information cloud platform, the time consumption is long, and the efficiency is low, the embodiment of the invention provides an information processing method and device based on the information cloud platform.
It should be noted that the information processing method based on the information cloud platform provided by the embodiment of the present invention is applied to an electronic device, and the electronic device may be any electronic device having a network connection function and capable of operating the information cloud platform. In practical applications, the electronic device may be: smart phones, tablets, laptops, and the like.
In addition, the information cloud platform according to the embodiment of the present invention may be any cloud platform that can provide functions such as information retrieval, information input, and information output for a user, and the information cloud platform may be accessed through a web address or may be accessed through a login through a corresponding application program.
The information processing method based on the information cloud platform provided by the embodiment of the invention can comprise the following steps:
when the target user operation input box is detected, determining a keyword input by the target user; the input box is positioned in a user interface of the information cloud platform;
generating reference recommendation information for the target user based on the keyword;
acquiring user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
and determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
According to the scheme, when the target user retrieves information through the information cloud platform, the information related to the keyword can be screened out from the information cloud platform through the keyword input by the target user, and then the information which is more matched with the requirement of the target user can be further screened out from the screened information by combining the academic information and the out-of-class time information of the target user, so that the target user does not need to spend a large amount of time on browsing and screening the information in the information cloud platform, and the efficiency of the target user in using the information cloud platform is improved.
The information processing method based on the information cloud platform provided by the embodiment of the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an information processing method based on an information cloud platform provided in an embodiment of the present invention may include the following steps:
s101, when detecting that a target user operates an input box, determining a keyword input by the target user;
the input box is located in a user interface of the information cloud platform.
The target user may be any user who needs to use the information cloud platform, for example, a student of a school. In addition, there may be various ways of determining that the target user operation input box is detected, for example: when detecting when the input box is clicked, or when detecting that a character is input in the input box, and so on. The input box can be located at any position of the user interface of the information cloud platform, such as: middle of the page, one third of the height of the page, etc.
Considering that the target user may input the search information as one or more words or sentences containing words, in one implementation, determining the keywords input by the target user may include: and taking one or more words input by the target user as keywords.
S102, generating reference recommendation information aiming at the target user based on the keyword;
it can be understood that, in order to reduce the screening and browsing of information in the information cloud platform by the target user, after the keyword input by the target user is actually obtained, reference recommendation information can be generated for the target user based on the keyword. For example, in one implementation, generating reference recommendation information for the target user based on the keyword may include:
determining a plurality of target information matched with the keyword from the information cloud platform; the target information is information contained in an access page of the information platform; and generating reference recommendation information aiming at the target user according to the historical access amount of the target information.
For example, in one implementation, determining, from the information cloud platform, a plurality of target information that match the keyword may include: and searching the information containing the keyword from the information cloud platform to obtain a plurality of target information matched with the keyword.
It can be understood that, in the information cloud platform, the types of the target information matched with the keyword can be various, for example: an electronic document, or a web interface, etc., then, for example, in one implementation, when the target information includes an electronic document, determining, from the information cloud platform, a plurality of target information that match the keyword, including:
acquiring a reference identifier corresponding to the keyword; the reference mark is a mark used for representing the subject field corresponding to the keyword; and searching a plurality of electronic documents with reference identifications matched with the reference identifications corresponding to the keywords from the information cloud platform, and taking the electronic documents as a plurality of target information matched with the keywords.
It can be understood that, in order to match target information corresponding to the keyword from the information cloud platform, a reference identifier may be set for the keyword that is input by the user in history in the information cloud platform, and the type of the reference identifier may be various, for example: numbers, letters, character strings, etc., illustratively, the number 1 characterizes a high-level mathematical domain, the number 2 characterizes a construction engineering domain, etc. Then, each keyword may correspond to at least one disciplinary area, for example: the keywords are: fourier transform, the subject area corresponding to the keyword may include: assuming that the reference identifier of higher mathematics is number 1, the reference identifier of calculus is number 2, and the reference identifier of linear algebra is number 3, then the reference identifier corresponding to the keyword may include number 1, number 2, and number 3.
Correspondingly, for the convenience of matching the electronic document with the keyword, when the electronic document is uploaded to the information cloud platform, a reference identifier is set for each electronic document to identify the subject field of the electronic document, the electronic identifier can be set by an uploader or automatically set by the information cloud platform, and when the reference identifier is set, the type of the identifier used is the same as the type of the reference identifier corresponding to the keyword, for example: the reference signs for higher mathematics are collectively referred to by the number 1, the reference signs for calculus are collectively referred to by the number 2, and so on.
It is understood that, when the historical access amount of the target information is higher, the target information can be more matched with the requirement of the target user, and then, for example, in one implementation, when the historical access amount includes a downloading amount and a browsing amount; generating reference recommendation information aiming at the target user according to the historical visit quantity of the target information, wherein the reference recommendation information comprises:
aiming at each target information, determining the access evaluation score of the target information by adopting a preset score calculation formula; selecting target information with an access evaluation score reaching a preset threshold value from the plurality of target information as reference recommendation information for the target user;
the preset score calculation formula includes:
wherein, T represents access assessment score, D represents download amount, M represents browsing amount, alphaiA first weight coefficient, mu, characterizing an ith predetermined time periodiA second weight coefficient characterizing the ith preset time period, wherein alphai>μiAnd k represents the number of preset time periods.
Among them, there may be a plurality of preset time periods, such as: half in the morning to half at 8 in the evening, 9 in the morning to 6 in the evening, 9 in the morning to half at 7 in the evening, and so on. The number of the preset time periods may be approximately 30 days, approximately 60 days, approximately 90 days, and so on.
It can be understood that the downloading amount and the browsing amount of the target information can generally reflect the matching degree of the target information and the requirements of the target users to a certain extent, and compared with the browsing amount, the downloading amount generally reflects the requirements of the target users better. In addition, the matching degree of the target information and the target user also has differences in different time periods, for example: historical visitation volume one year ago, historical visitation volume half year ago and historical visitation volume of last three months, and for a target user, the visitation volume of last three months of target information is generally better capable of matching the current use requirement of the target user.
In this way, when generating the reference recommendation information for the target user, a score calculation formula may be used for determining, where the number of the preset time periods, the downloading amount of the target information in the preset time periods, and the browsing amount are considered at the same time, and the weight coefficient of the downloading amount is set to be greater than the weight coefficient of the browsing amount, so that the obtained score may be more matched with the requirement of the user.
S103, acquiring the user information of the target user;
wherein the user information comprises academic information and extracurricular practice information of the target user;
illustratively, the academic information may include lessons learned by the target user, such as: linear algebra, etc., learning stages, such as: university phase, or high-middle phase, etc.; the extracurricular practice information may include: practical subjects, practical contents, and the like.
For example, in one implementation, the obtaining of the user information of the target user may include: and sending a user information request to a server corresponding to the information cloud platform to acquire the user information of the target user.
And S104, determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
For example, in one implementation, determining target recommendation information for the target user from the reference recommendation information based on the user information may include: and screening information matched with the academic information or the out-of-class practice information of the target user from the reference recommendation information to obtain target recommendation information for the target user.
It is to be understood that, in order to match the academic information or the out-of-class practice information of the target user, information matching the academic information or the out-of-class practice information of the target user may be filtered from the reference recommendation information. Through further screening, the obtained target recommendation information is guaranteed to be high in matching degree with the requirements of the target user, meanwhile, the target user can be prevented from viewing too much recommendation information, and the efficiency of the target user is improved.
According to the scheme, when the target user retrieves information through the information cloud platform, the information related to the keyword can be screened out from the information cloud platform through the keyword input by the target user, and then the information which is more matched with the requirement of the target user can be further screened out from the screened information by combining the academic information and the out-of-class time information of the target user, so that the target user does not need to spend a large amount of time on browsing and screening the information in the information cloud platform, and the efficiency of the target user in using the information cloud platform is improved.
Optionally, as shown in fig. 2, in another embodiment of the present invention, after determining the target recommendation information for the target user, the method further includes:
s105, generating a target recommendation identifier for the target recommendation information;
s106, constructing a mapping relation between the keyword and the target recommendation identification.
It can be understood that, in order to further improve the efficiency of information processing performed by the information cloud platform, after the target recommendation information is determined by the keyword, a mapping relationship of the keyword may be constructed, so that when the keyword is retrieved again, the target recommendation information may be quickly obtained according to the mapping relationship constructed in advance.
Optionally, in another embodiment of the present invention, after determining the keyword input by the target user, before generating the reference recommendation information for the target user based on the keyword, the method further includes:
inquiring whether a target recommendation identifier corresponding to the keyword exists in a mapping relation between the keyword and the recommendation identifier, which is constructed in advance, if not, executing the reference recommendation information aiming at the target user based on the keyword; and if so, taking the target recommendation information corresponding to the target recommendation identification as the target recommendation information for the target user.
With respect to the above method embodiment, as shown in fig. 3, an embodiment of the present invention further provides an information processing apparatus based on an information cloud platform, which may include:
the word detection module 310 is configured to determine a keyword input by a target user when the target user operation input box is detected;
a word generating module 320, configured to generate reference recommendation information for the target user based on the keyword;
an information obtaining module 330, configured to obtain user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
an information determining module 340, configured to determine, based on the user information, target recommendation information for the target user from the reference recommendation information.
According to the scheme, when the target user retrieves information through the information cloud platform, the information related to the keyword can be screened out from the information cloud platform through the keyword input by the target user, and then the information which is more matched with the requirement of the target user can be further screened out from the screened information by combining the academic information and the out-of-class time information of the target user, so that the target user does not need to spend a large amount of time on browsing and screening the information in the information cloud platform, and the efficiency of the target user in using the information cloud platform is improved.
Optionally, the word generating module 320 includes:
the information matching sub-module is used for determining a plurality of target information matched with the keywords from the information cloud platform; the target information is information contained in an access page of the information platform;
and the reference information submodule is used for generating reference recommendation information aiming at the target user according to the historical visit quantity of the target information.
Optionally, the historical access amount includes a download amount and a browsing amount; the reference information submodule is specifically used for determining the access evaluation score of each target information by adopting a preset score calculation formula aiming at each target information; selecting target information with an access evaluation score reaching a preset threshold value from the plurality of target information as reference recommendation information for the target user;
the preset score calculation formula comprises:
wherein, T represents access assessment score, D represents download amount, M represents browsing amount, alphaiA first weight coefficient, mu, characterizing an ith predetermined time periodiA second weight coefficient characterizing the ith preset time period, wherein alphai>μiAnd k represents the number of preset time periods.
Optionally, the target information comprises an electronic document; the information matching sub-module is specifically used for acquiring the reference identifier corresponding to the keyword; the reference mark is a mark used for representing a subject field corresponding to the keyword;
and searching a plurality of electronic documents with reference identifications matched with the reference identifications corresponding to the keywords from the information cloud platform, and taking the electronic documents as a plurality of target information matched with the keywords.
Optionally, the information determining module 340 is specifically configured to filter, from the reference recommendation information, information matched with the academic information or the out-of-class practice information of the target user to obtain target recommendation information for the target user.
Optionally, as shown in fig. 4, the apparatus further includes:
an identifier generating module 350, configured to generate a target recommendation identifier for the target recommendation information;
a relationship building module 360, configured to build a mapping relationship between the keyword and the target recommendation identifier.
Optionally, the apparatus further comprises: the identification query module is used for querying whether a target recommendation identification corresponding to the keyword exists in a mapping relation between the keyword and the recommendation identification which is constructed in advance after the keyword input by the target user is determined and before the reference recommendation information aiming at the target user is generated on the basis of the keyword, and if not, executing the keyword-based reference recommendation information aiming at the target user; and if so, taking the target recommendation information corresponding to the target recommendation identification as the target recommendation information for the target user.
The embodiment of the invention also provides electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus,
a memory for storing a computer program;
and the processor is used for realizing the steps of any information processing method based on the information cloud platform when executing the program stored in the memory.
In another embodiment of the present invention, a computer-readable storage medium is further provided, where a computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program implements the information processing method based on the information cloud platform according to any one of the above embodiments.
In another embodiment of the present invention, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute the information processing method based on the information cloud platform according to any one of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. An information processing method based on an information cloud platform is characterized by comprising the following steps:
when the target user operation input box is detected, determining a keyword input by the target user; the input box is positioned in a user interface of the information cloud platform;
generating reference recommendation information for the target user based on the keyword;
acquiring user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
and determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
2. The method of claim 1, wherein the generating reference recommendation information for the target user based on the keyword comprises:
determining a plurality of target information matched with the keywords from the information cloud platform; the target information is information contained in an access page of the information platform;
and generating reference recommendation information aiming at the target user according to the historical visit quantity of the target information.
3. The method of claim 2, wherein the historical amount of access comprises an amount of downloads and an amount of browsing; the generating of the reference recommendation information for the target user according to the historical visit amount of the target information comprises:
aiming at each target information, determining the access evaluation score of the target information by adopting a preset score calculation formula; selecting target information with an access evaluation score reaching a preset threshold value from the plurality of target information as reference recommendation information for the target user;
the preset score calculation formula comprises:
wherein, T represents access assessment score, D represents download amount, M represents browsing amount, alphaiA first weight coefficient, mu, characterizing an ith predetermined time periodiA second weight coefficient characterizing the ith preset time period, wherein alphai>μiAnd k represents the number of preset time periods.
4. The method according to claim 2 or 3, wherein the target information comprises an electronic document; the determining, from the information cloud platform, a plurality of target information matched with the keyword includes:
acquiring a reference identifier corresponding to the keyword; the reference mark is a mark used for representing a subject field corresponding to the keyword;
and searching a plurality of electronic documents with reference identifications matched with the reference identifications corresponding to the keywords from the information cloud platform, and taking the electronic documents as a plurality of target information matched with the keywords.
5. The method of claim 4, wherein the determining target recommendation information for the target user from the reference recommendation information based on the user information comprises:
and screening information matched with the academic information or the out-of-class practice information of the target user from the reference recommendation information to obtain target recommendation information for the target user.
6. The method of any of claims 1-3, wherein after determining the target recommendation information for the target user, the method further comprises:
generating a target recommendation identifier for the target recommendation information;
and constructing a mapping relation between the keywords and the target recommendation identification.
7. The method of claim 6, wherein after determining the keyword input by the target user, before generating the reference recommendation information for the target user based on the keyword, the method further comprises:
inquiring whether a target recommendation identifier corresponding to the keyword exists in a mapping relation between the keyword and the recommendation identifier, which is constructed in advance, if not, executing the reference recommendation information aiming at the target user based on the keyword; and if so, taking the target recommendation information corresponding to the target recommendation identification as the target recommendation information for the target user.
8. An information processing apparatus based on an information cloud platform, comprising:
the word detection module is used for determining the keywords input by the target user when the target user operation input box is detected;
the word generation module is used for generating reference recommendation information aiming at the target user based on the keywords;
the information acquisition module is used for acquiring the user information of the target user; wherein the user information comprises academic information and extracurricular practice information of the target user;
and the information determining module is used for determining target recommendation information aiming at the target user from the reference recommendation information based on the user information.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1 to 7 when executing a program stored in the memory.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682113A (en) * | 2016-12-07 | 2017-05-17 | 广东小天才科技有限公司 | Exercise searching method and equipment |
| CN111291086A (en) * | 2020-01-15 | 2020-06-16 | 北京爱论答科技有限公司 | Course content searching method, system, equipment and storage medium |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682113A (en) * | 2016-12-07 | 2017-05-17 | 广东小天才科技有限公司 | Exercise searching method and equipment |
| CN111291086A (en) * | 2020-01-15 | 2020-06-16 | 北京爱论答科技有限公司 | Course content searching method, system, equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114143310A (en) * | 2021-10-25 | 2022-03-04 | 北京银盾泰安网络科技有限公司 | Cloud platform centralized control system and method |
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