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Resource theme judgment method and system
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A method of judging and subject technology, applied in the field of teaching, can solve problems such as poor practicability, low accuracy of keyword extraction, and incompatibility with intelligent teaching applications, and achieve the effect of objective subject and objective matching degree.
Active Publication Date: 2020-03-24
浙江蓝鸽科技有限公司
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Problems solved by technology
However, the current resource theme determination does not combine the subject knowledge points in teaching and the characteristics of teaching resources for analysis, and the resource themes involved are not comprehensive enough, resulting in low accuracy and poor practicability in the final resource theme determination and keyword extraction. Meet the needs of intelligent teaching applications
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example 1
[0094] Example 1: According to the implementation of the application, massive disordered resources of the management discipline are managed. The process of processing the massive disordered resources of disciplines specifically includes the following steps ①, ②, ③ and ④:
[0095] ① Identify the nominal knowledge points in each target resource;
[0096] ② Calculate the importance of the knowledge points identified in each target resource;
[0097] ③Based on the resource subject knowledge domain, obtain the correlation degree between each knowledge point and each theme in each target resource;
[0098] ④According to all noun knowledge points contained in each target resource, their importance, and the degree of correlation between each knowledge point and each theme in each target resource, analyze the theme of each target resource, that is, the main body and core content of the resource narration.
[0099] This example 1 implements classified storage of massive unordered reso...
example 2
[0100] Example 2: According to the implementation of the present application, relevant subject resources are accurately recommended for one or more provided knowledge points. The recommendation process includes the following steps ①, ② and ③:
[0101] ①According to the resource subject knowledge domain, obtain the resource subject with the strongest correlation degree of the one or more knowledge points, thereby reducing the scope of resource search;
[0102] ②According to the keywords of each resource and their importance, quickly obtain a batch of resources with high relevance to the one or more knowledge points;
[0103] ③ Recommend this batch of resources to the human-computer interaction interface of the application system for users to choose, or determine the required resources by calculating the resources with the highest correlation.
[0104] This example 2 not only saves the search time for knowledge point correlation resource recommendation, but also the recommended...
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Abstract
The invention relates to the field of teaching, and discloses a resource theme judgment method and system. The resource theme judgment method comprises the following steps: pre-analyzing the association degree between each knowledge point in a corpus containing various theme resources and each theme, and constructing a resource theme knowledge domain; based on the resource topic knowledge domain,determining all topics involved in each knowledge point in the target resource as alternative topics, and obtaining a correlation degree between each knowledge point in the target resource and each alternative topic; calculating the importance of each knowledge point in the target resource; and calculating the matching degree of the target resource and each alternative theme according to the association degree of each knowledge point and each alternative theme and the importance of each knowledge point, and judging the alternative theme with the maximum matching degree as the theme of the target resource. According to the embodiment of the invention, the resource theme can be quickly determined, and the determined theme is objective and accurate and meets the requirements of intelligent teaching application.
Description
technical field [0001] This application relates to the field of teaching, in particular to resource theme determination technology. Background technique [0002] In all kinds of intelligent teaching applications, the accurate recommendation of relevant resources for one or some knowledge points is the basic and key link, such as text recommendation in textbook editing, and learning articles before and after class in courseware production Recommendations, reading material recommendations in automatic paper composition, and more. [0003] For example, it is necessary to recommend related reading resources containing several knowledge points, but for the massive unordered teaching resources, there are countless resources involving one or more knowledge points, and the computer cannot quickly and accurately recommend the relevance high resource. Therefore, it is usually necessary to intelligently determine and extract the subject and key content of resources to achieve fast re...
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