Method for recommending review content based on voice search and electronic device

Abstract

The invention relates to a voice search-based review content recommendation method and an electronic device. The method comprises the steps of identifying target learning content from an acquired voice problem; determining a target attribute of the target learning content, wherein the target attribute comprises a first weight or a second weight, the first weight is used for representing a probability that the target learning content is identified as meaningful content, and the second weight is used for representing information volume of the target learning content. The electronic device generates different review plans according to different target attributes, and recommends corresponding target review content according to time nodes in the review plans, wherein time nodes are set and distributed in the review period according to The Ebbinghaus Forgetting Curve, and number of recommendation times in the review plan is set according to the target attribute of the target learning content. Review content related to voice input problems can be recommended automatically according to a human brain information memory law, so that learning efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of electronic equipment, in particular to a voice search-based review content recommendation method and electronic equipment. Background technique [0002] At present, some electronic devices such as tutoring computers and student tablets are equipped with the function of voice search. These functions are similar to Siri, an intelligent voice control function launched by Apple in the United States, which can recognize the questions spoken by children and find out the corresponding answers, so as to answer questions for children and provide learning guidance for children. However, in practice, it has been found that children have a high rate of forgetting when learning new knowledge, and for questions input through voice, although electronic devices can return corresponding answers, due to the lack of memory enhancement during the writing process, children are more likely to forget Corresponding knowledge po...

AI Technical Summary

Problems solved by technology

However, in practice, it has been found that children have a high rate of forgetting when learning new knowledge, and for questions input through voice, although electronic devices can return corresponding answers, due to the lack of memory enhancement during the writing process, children are more likely to forget Corresponding knowledge points, resulting in low learning efficiency

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