CN111291086A - Course content searching method, system, equipment and storage medium - Google Patents
Course content searching method, system, equipment and storage medium Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The embodiment of the application provides a course content searching method, a course content searching system, course content searching equipment and a storage medium, and relates to the technical field of electronic teaching. The course content searching method comprises the following steps: acquiring user identification information and keyword information; acquiring associated teaching information according to the user identification information; and searching in an index database according to the keyword information and the associated teaching information and generating a search result. The course content searching method can realize accurate searching, thereby realizing the technical effect of improving the searching efficiency.
Description
Technical Field
The present application relates to the field of electronic teaching technologies, and in particular, to a course content search method, system, device, and storage medium.
Background
Currently, the main function of search engines in the field of teaching is to process the teacher after entering the desired content in the search box, returning the most relevant entries. However, the existing search engine mainly focuses on processing the input content, and the traditional tf-idf or bm25 algorithm is used to perform the relevance determination, so that the following problems may be caused by the processing: the keywords input by the teacher sometimes cannot accurately express the content that the teacher actually wants to search, so that the search result deviates from the expected result of the teacher, the search efficiency is reduced, and the time and labor are wasted when the teacher wants to search the desired content.
Disclosure of Invention
An object of the embodiments of the present application is to provide a course content search method, system, device, and storage medium, which can achieve accurate search, thereby achieving a technical effect of improving search efficiency.
In a first aspect, an embodiment of the present application provides a course content search method, including: acquiring user identification information and keyword information; acquiring associated teaching information according to the user identification information; and searching in an index database according to the keyword information and the associated teaching information and generating a search result.
In the implementation process, the course content searching method acquires the associated teaching information by acquiring the user identification information and the keyword information and according to the user identification information, namely acquiring the corresponding associated teaching information according to the user identification information, wherein the associated teaching information comprises the recent teaching materials, the grade and the specific knowledge points of the user or the learning condition of students; and then generating a search result according to the keyword information and the associated teaching information input by the user. By combining the keyword information and the associated teaching information, the search accuracy is improved, the accurate search is realized, and the technical effect of improving the search efficiency is realized.
Further, before the obtaining of the user identification information and the keyword information, the method includes: importing a word segmentation component and an education word stock according to course content, wherein the course content comprises an initial document; performing semantic processing on the initial document and generating index words; and establishing the index database according to the index words.
In the implementation process, the index database based on the course content is established, so that the search can be performed according to the index database, and the search efficiency is improved.
Further, the obtaining of the associated teaching information according to the user identification information includes: matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information; and generating the associated teaching information according to the teaching history information.
In the implementation process, the user is helped to judge the content which the user wants to search more accurately by associating the teaching information, the optimization is carried out by combining the teaching data of the user, and the search results are further sequenced through the teaching history information of the user, so that the search accuracy is improved, the accurate search is realized, and the technical effect of improving the search efficiency is further realized.
Further, the searching and generating a search result in the index database according to the keyword information and the associated teaching information includes: searching in the index database according to the keyword information and generating an initial search result; and sequencing the initial search results according to the matching degree of the keywords, and generating a coarse sequencing search result.
In the implementation process, an initial search result is generated according to the keyword information; and then generating a coarse-ranking search result according to the matching degree of the keywords. By the method, the search conditions are simplified, the initial search is completed, the search speed is prevented from being limited by excessive search conditions, and the search efficiency is improved.
Further, after the ranking the initial search results according to the keyword matching degree and generating a rough-ranking search result, the method further includes: generating fine sequencing feature information according to the associated teaching information; and sorting the coarse sorting search results according to the fine sorting feature information, and generating fine sorting search results.
In the implementation process, the coarse sorting search result is further limited through the associated teaching information, and a fine sorting search result is generated; by the method, the rough-ordering search results are further limited according to the associated teaching information of the user, so that the fine-ordering search results are more in line with the search expectation of the user, the search accuracy is improved, and the search efficiency is further improved.
In a second aspect, an embodiment of the present application provides a course content search system, including: a first acquisition unit configured to acquire user identification information and keyword information; the second acquisition unit is used for acquiring the associated teaching information according to the user identification information; and the first generating unit is used for searching in the index database according to the keyword information and the associated teaching information and generating a search result.
Further, the system further comprises: the system comprises an importing unit, a learning unit and a learning unit, wherein the importing unit is used for importing word segmentation components and an education word stock according to course content, and the course content comprises an initial document; the second generation unit is used for carrying out semantic processing on the initial document and generating index words; and the establishing unit is used for establishing the index database according to the index words.
Further, the system further comprises: the matching unit is used for matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information; and the third generating unit is used for generating the associated teaching information according to the teaching history information.
Further, the system further comprises: a fourth generating unit, configured to search the index database according to the keyword information and generate an initial search result; and the first sequencing unit is used for sequencing the initial search results according to the matching degree of the keywords and generating rough sequencing search results.
Further, the system further comprises: the fifth generating unit is used for generating fine sequencing feature information according to the associated teaching information; and the second sorting unit is used for sorting the rough sorting search results according to the fine sorting feature information and generating fine sorting search results.
In a third aspect, an apparatus provided in an embodiment of the present application includes: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of the first aspect when executing the computer program.
In a fourth aspect, a storage medium is provided in an embodiment of the present application, where the storage medium has instructions stored thereon, and when the instructions are executed on a computer, the instructions cause the computer to perform the method according to any one of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, which when run on a computer, causes the computer to perform the method according to any one of the first aspect.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a course content searching method provided by an embodiment of the present application;
FIG. 2 is a schematic flow chart of a course content searching method provided by an embodiment of the present application;
FIG. 3 is a schematic block diagram of a course content search system provided by an embodiment of the present application;
FIG. 4 is a schematic block diagram of a course content search system provided by an embodiment of the present application;
fig. 5 is a block diagram of a device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
The course content searching method, the system, the equipment and the storage medium provided by the embodiment of the application can be applied to the field of teaching; the course content searching method comprises the steps of obtaining user identification information and keyword information, obtaining associated teaching information according to the user identification information, namely obtaining corresponding associated teaching information according to the user identification information, wherein the associated teaching information comprises recent teaching materials, grades, specific knowledge points or learning conditions of students of a user; and then generating a search result according to the keyword information and the associated teaching information input by the user. By combining the keyword information and the associated teaching information, the search accuracy is improved, the accurate search is realized, and the technical effect of improving the search efficiency is realized.
Referring to fig. 1, fig. 1 is a schematic flowchart of a course content search method provided in an embodiment of the present application, where the course content search method includes the following steps:
step S100, user identification information and keyword information are obtained.
Illustratively, the course content searching method is applied to the teaching field, wherein the user identification information is user account information of a teacher, and the keyword information is a keyword input by the teacher.
And step S200, acquiring the associated teaching information according to the user identification information.
Illustratively, the user identification information is user account information of the teacher, wherein the user account information is associated with teaching information of the teacher; by way of example, and not limitation, associating instructional information may comprise: the teacher's recent textbook, grade, specific knowledge points, and the student's learning situation.
And step S300, searching in the index database according to the keyword information and the associated teaching information and generating a search result.
Illustratively, according to the keyword information and the associated teaching information, searching is carried out in the index database, and the matching of the search result with the keyword information and the associated teaching information is completed, so that the search accuracy is improved.
In some embodiments, before step S100, the course content search method further includes: importing a word segmentation component and an education word stock according to course content, wherein the course content comprises an initial document; performing semantic processing on the initial document and generating index words; and establishing an index database according to the index words.
By way of example and not limitation, the following is a process for building a particular index database: importing an IKAnalyzer word segmentation component and a professional education word stock to support Chinese text type word segmentation, wherein the IKAnalyzer word segmentation component is an open source and is a lightweight Chinese word segmentation toolkit developed based on java language; the method comprises the steps of segmenting words of an original document of course content, removing punctuation marks and stop words, transmitting the words to a Solr language processing component for semantic processing, transmitting the processed words to a Solr index component, and generating a reverse index.
Illustratively, Solr is a stand-alone enterprise-level search application server that provides an API interface like Web-service to the outside; a user can submit an XML file with a certain format to a search engine server through an http request to generate an index; and a search request can also be provided through an Http Get operation, and a return result in an XML format is obtained. For example, documents are added to a search corpus via Http using XML, and querying the corpus is also accomplished by receiving an XML/JSON response via Http. Its main characteristics include: the method has the advantages of high-efficiency and flexible caching function, vertical searching function, highlighted display of searching results, improvement of usability through index replication, provision of a set of powerful Data Schema to define fields, type and set text analysis, provision of a Web-based management interface and the like.
In some embodiments, step S300 includes: matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information; and generating associated teaching information according to the teaching history information.
Illustratively, the tutorial history information is tutorial data for the user. The teaching data of the user and the user identification information are bound with each other, and the teaching data of the user can be matched and obtained through the user identification information; therefore, when the user inputs the keyword information and searches, the teaching history information of the user can be obtained according to the user identification information, the search is carried out according to the teaching history information, and the search result is optimized. By means of the method, the user is helped to judge the content which the user wants to search more accurately, the content is optimized by combining with the teaching data of the user, the search results are further sorted by the teaching historical information of the user, the search accuracy is improved, accurate search is achieved, and the technical effect of improving the search efficiency is achieved.
Referring to fig. 2, fig. 2 is a schematic flowchart of a course content search method provided in an embodiment of the present application, where the course content search method includes the following steps:
step S310, searching in the index database according to the keyword information and generating an initial search result.
And step S320, sequencing the initial search results according to the matching degree of the keywords, and generating rough sequencing search results.
And step S330, generating fine sequencing feature information according to the associated teaching information.
And step S340, sorting the coarse sorting search results according to the fine sorting feature information, and generating fine sorting search results.
Exemplarily, in step S310 and step S320, an initial search result is generated according to the keyword information; and then generating a coarse-ranking search result according to the matching degree of the keywords. By the method, the search conditions are simplified, the initial search is completed, the search speed is prevented from being limited by excessive search conditions, and the search efficiency is improved.
Exemplarily, in step S330 and step S340, the coarse search result is further limited by associating with the instructional information, and a fine search result is generated; by the method, the rough-ordering search results are further limited according to the associated teaching information of the user, so that the fine-ordering search results are more in line with the search expectation of the user, the search accuracy is improved, and the search efficiency is further improved.
In some embodiments, the course content search method is applied to a topic search; by way of example and not limitation, the process of generating the fine ordered search results may proceed as follows: performing semantic analysis on the keyword information input by the user; through semantic analysis, whether a user searches a question stem to find a specific question or searches a knowledge point to obtain a high-quality question under the knowledge point is analyzed. If the question stem of a specific question is searched by the user, directly taking the result of sorting according to Solr relevance as the final return; if the teacher wants to search the title under a certain knowledge point, performing secondary word segmentation on the keyword information input by the user based on semantic analysis and a special education word bank, forming a multivariate variable with the characteristics of the title (matching degree score of the title and the content input by the teacher, the number of times the title is selected and the score of the title) according to the associated teaching information (such as teaching material information, grade information and student score information) of the user, modeling and estimating the probability of clicking the title by the teacher by using a machine learning algorithm, and finally generating a fine-ranking search result according to the ranking degree of the probability.
In some embodiments, after step S300, the course content searching method further includes: and pushing the associated teaching content according to the associated teaching information.
For example, the course content searching method may recommend other related teaching contents to the user by using a neural network according to characteristics of the user, such as associated teaching information, a previous click history of the user, and the like. The associated teaching content is a question or content which is most likely to be clicked by the user and is obtained through graph neural network analysis, for example, some basic questions of knowledge points which are required to be taught by the user in the next step according to a knowledge graph; or analyzing the knowledge points according to the keyword information currently input by the user, and pushing common error-prone questions or difficulty-prone questions in the knowledge points. By means of the method, the breadth of the search result is improved, the user search is assisted, and therefore the search experience of the user is improved.
In some implementation scenarios, the course content searching method is applied to the course teaching field; the course content searching method comprises the steps of obtaining user identification information and keyword information, obtaining associated teaching information according to the user identification information, namely obtaining corresponding associated teaching information according to the user identification information, wherein the associated teaching information comprises recent teaching materials, grades, specific knowledge points or learning conditions of students of a user; and then generating a search result according to the keyword information and the associated teaching information input by the user. By combining the keyword information and the associated teaching information, the search accuracy is improved, the accurate search is realized, and the technical effect of improving the search efficiency is realized. In addition, the course content searching method pushes the associated teaching content through the associated teaching information, so that the breadth of the searching result is improved, the user searching is assisted, and the searching experience of the user is improved.
In some implementation scenes, the course content searching method also adopts a coarse sorting and fine sorting mode, so that on one hand, the coarse sorting simplifies the searching conditions, completes the initial searching, avoids the limitation of the searching speed due to excessive searching conditions, and improves the searching efficiency; on the other hand, the rough-ordered search results are further limited according to the associated teaching information of the user, so that the fine-ordered search results are more in line with the search expectation of the user, the search accuracy is improved, and the search efficiency is further improved.
Referring to fig. 3, fig. 3 is a schematic block diagram of a course content search system according to an embodiment of the present application, where the course content searching system includes:
a first obtaining unit 100 for obtaining user identification information and keyword information.
And a second obtaining unit 200, configured to obtain the associated teaching information according to the user identification information.
And a first generating unit 300, configured to search in the index database according to the keyword information and the associated teaching information, and generate a search result.
In some embodiments, the course content search system further comprises: the system comprises an importing unit, a learning unit and a learning unit, wherein the importing unit is used for importing word segmentation components and an education word stock according to course content, and the course content comprises an initial document; the second generation unit is used for carrying out semantic processing on the initial document and generating index words; and the establishing unit is used for establishing an index database according to the index words.
In some embodiments, the course content search system further comprises: the matching unit is used for matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information; and the third generating unit is used for generating the associated teaching information according to the teaching history information.
It should be understood that the above units correspond to the steps of the course content searching method shown in fig. 1, and are not described herein again to avoid repetition.
Referring to fig. 4, fig. 4 is a schematic block diagram of a course content search system provided by an embodiment of the present application, where the course content search system includes:
a fourth generating unit 310 for searching in the index database according to the keyword information and generating an initial search result;
the first sorting unit 320 is configured to sort the initial search results according to the keyword matching degree, and generate a coarse-sorting search result.
A fifth generating unit 330, configured to generate fine-ranking feature information according to the associated teaching information;
and the second sorting unit 340 is configured to sort the coarse sorting search results according to the fine sorting feature information, and generate fine sorting search results.
It should be understood that the above units correspond to the steps of the course content searching method shown in fig. 2, and are not described herein again to avoid repetition.
Fig. 5 shows a structural block diagram of an apparatus provided in an embodiment of the present application, where fig. 5 is a block diagram of an apparatus provided in the present application. The device may include a processor 510, a communication interface 520, a memory 530, and at least one communication bus 540. Wherein the communication bus 540 is used for realizing direct connection communication of these components. The communication interface 520 of the device in the embodiment of the present application is used for performing signaling or data communication with other node devices. Processor 510 may be an integrated circuit chip having signal processing capabilities.
The Processor 510 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor 510 may be any conventional processor or the like.
The Memory 530 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory 530 stores computer readable instructions that, when executed by the processor 510, cause the apparatus to perform the steps involved in the method embodiments of fig. 1-2 described above.
Optionally, the device may further include a memory controller, an input output unit.
The memory 530, the memory controller, the processor 510, the peripheral interface, and the input/output unit are electrically connected to each other directly or indirectly, so as to implement data transmission or interaction. For example, these elements may be electrically coupled to each other via one or more communication buses 540. The processor 510 is adapted to execute executable modules stored in the memory 530, such as software functional modules or computer programs comprised by the device.
The input and output unit is used for providing a task for a user to create and start an optional time period or preset execution time for the task creation so as to realize the interaction between the user and the server. The input/output unit may be, but is not limited to, a mouse, a keyboard, and the like.
It will be appreciated that the configuration shown in figure 5 is merely illustrative and that the apparatus may also include more or fewer components than shown in figure 5 or have a different configuration than shown in figure 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
The embodiment of the present application further provides a storage medium, where the storage medium stores instructions, and when the instructions are run on a computer, when the computer program is executed by a processor, the method in the method embodiment is implemented, and in order to avoid repetition, details are not repeated here.
The present application also provides a computer program product which, when run on a computer, causes the computer to perform the method of the method embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
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.
Claims (10)
1. A course content search method, comprising:
acquiring user identification information and keyword information;
acquiring associated teaching information according to the user identification information;
and searching in an index database according to the keyword information and the associated teaching information and generating a search result.
2. The curriculum content search method of claim 1, wherein prior to the obtaining of the user identification information and the keyword information, the method further comprises:
importing a word segmentation component and an education word stock according to course content, wherein the course content comprises an initial document;
performing semantic processing on the initial document and generating index words;
and establishing the index database according to the index words.
3. The course content search method as claimed in claim 1, wherein said obtaining associated teaching information according to the user identification information comprises:
matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information;
and generating the associated teaching information according to the teaching history information.
4. The course content search method as claimed in claim 1, wherein said searching and generating search results in said index database according to said keyword information and said associated teaching information comprises:
searching in the index database according to the keyword information and generating an initial search result;
and sequencing the initial search results according to the matching degree of the keywords, and generating a coarse sequencing search result.
5. The curriculum content search method of claim 4, wherein after said ranking the initial search results according to keyword matching degree and generating a coarse-ranked search result, the method further comprises:
generating fine sequencing feature information according to the associated teaching information;
and sorting the coarse sorting search results according to the fine sorting feature information, and generating fine sorting search results.
6. A course content search system, comprising:
a first acquisition unit configured to acquire user identification information and keyword information;
the second acquisition unit is used for acquiring the associated teaching information according to the user identification information;
and the first generating unit is used for searching in the index database according to the keyword information and the associated teaching information and generating a search result.
7. The lesson content search system of claim 6, further comprising:
the system comprises an importing unit, a learning unit and a learning unit, wherein the importing unit is used for importing word segmentation components and an education word stock according to course content, and the course content comprises an initial document;
the second generation unit is used for carrying out semantic processing on the initial document and generating index words;
and the establishing unit is used for establishing the index database according to the index words.
8. The lesson content search system of claim 6, further comprising:
the matching unit is used for matching teaching history information according to the user identification information, wherein the teaching history information comprises teaching material information, grade information and student score information;
and the third generating unit is used for generating the associated teaching information according to the teaching history information.
9. An apparatus, comprising: memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of claims 1-5 when executing the computer program.
10. A storage medium having stored thereon instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-5.
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| CN202010045974.7A CN111291086A (en) | 2020-01-15 | 2020-01-15 | Course content searching method, system, equipment and storage medium |
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| CN202010045974.7A CN111291086A (en) | 2020-01-15 | 2020-01-15 | Course content searching method, system, equipment and storage medium |
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