Method and system for extracting scores based on combination of knowledge graph library and memory curve
A knowledge graph and knowledge technology, applied in the field of education, can solve the problems of no push, no user recitation of real-time situation monitoring, etc., to achieve the effect of improving efficiency
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Embodiment 1
[0071] Such as Figure 7 As shown, the present invention is a system based on the combination of knowledge graph library and memory curve, which specifically includes a personal terminal, a server terminal and a public terminal, wherein the personal terminal includes a setting module, a planning module, a learning module, and a learning display module; The server side includes the learning plan module and the personal knowledge system module; the public side includes the knowledge system module and the forgetting algorithm module;
[0072] Among them, the personal terminal setting module is used to set the selected information by the user, and transfer the selected information from the personal knowledge system module of the server to the learning plan module of the server to form a plan library;
[0073] The planning module on the personal side provides users with sorting options, that is, sorting the knowledge information in the learning planning module planning library on t...
Embodiment 2
[0084] Such as Figure 8 As shown, the difference between this embodiment and Embodiment 1 is that the server of this embodiment also includes a speech recognition module, and the speech recognition module receives the speech input from the learning module of the personal terminal, and parses the entered speech into text, and analyzes the semantics, Get the mastery data of knowledge points, and pass the mastery data to the planning library.
Embodiment 3
[0086] Such as Figure 9 As shown, the difference between this embodiment and Embodiment 1 is that the server of this embodiment also includes a personalized recommendation module, and the personalized recommendation module is used to store the learning times, mastery percentage, and forgetting degree fitting calculations for knowledge points. Personalized memory features, and combined with the forgetting algorithm module on the public side to provide a new forgetting algorithm to update the forgetting degree of the personal knowledge system module.
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