Japanese word training method based of artificial intelligence and aimed at enterprise employment posts

Abstract

The invention discloses a Japanese word training method based of artificial intelligence and aimed at enterprise employment posts. The method includes: collecting operation history of a user using mobile equipment, analyzing spare time period of the user, and setting the spare time period as a set T; ordering Japanese words according to using frequency, setting pushing priority from front to rear,and setting the pushing priority as a set W; determining pushing interval and time number within the spare time period of the user according to memory capacity of different users and memorizing difficulty of different words, tracking learning and memorizing time of each word when the user memorizes words, switching gesture of a next word, building a training model, outputting memorizing degree ofwords, and pushing words different in frequency according to the memorizing degree. In the method, pushing strategies of Japanese words are determined according to fragmented time of enterprise staffand personal memory capacity of the staff, so that time utilizing efficiency of the user is improved, and word memorizing efficiency is improved.

Description

technical field [0001] The invention relates to the field of Japanese teaching, in particular to an artificial intelligence-based method for training Japanese words for employment positions in enterprises. Background technique [0002] In the process of Japanese training, employees of enterprises need to learn Japanese words, which takes up a lot of time. At the same time, if the on-the-job training of employees takes up a long time of working time, the work efficiency will be reduced. Therefore, it is necessary to learn words and words in employees' leisure time memory. [0003] The traditional method of memorizing Japanese words relies on the user to memorize words in order, and manually mark the words that are not firmly remembered for later review, or the system simply puts the wrong words into the wrong question bank for users to learn next time. However, neither of the above two methods can be targeted for training and learning in the user's leisure time, and it is di...

AI Technical Summary

Problems solved by technology

In this solution, the push is based on the cloud server, and it is not pushed according to the user's learning characteristics and learning time period, so it is difficult to improve the user's learning efficiency

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