Data processing method and device, medium and electronic equipment

Abstract

The invention provides a data processing method. The method comprises the steps of inputting historical learning behavior data of different users into a neural network model to obtain a historical learning path of each user; generating a learning attribute label for each user according to the personal learning data of different users; based on the learning attribute label, screening out at least one similar user of the target user by using a collaborative filtering algorithm, and processing the historical learning path of the target user and the historical learning path of the at least one similar user to form a quasi-learning path of the target user; and performing fusion processing on the planned learning data of the target user and the quasi-learning path of the target user to obtain arecommended learning path of the target user, the recommended learning path comprising a plurality of learning tasks. According to the scheme, a set of perfect learning path is provided for each target user in a personalized recommendation mode, the learning habit of continuous learning of the target user can be cultivated, and then the class completion rate of the target user can be increased.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more specifically, the present invention relates to a data processing method, a data processing device, a computer-readable medium, and an electronic device. Background technique [0002] This section is intended to provide a background or context to the invention that is recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] With the rapid development of science and technology, people's desire to learn knowledge is getting stronger and stronger. Thus, the development of online education platform in the form of "Internet + education" came into being. Online education platforms provide online open courses, thereby providing opportunities for the general public to learn knowledge through the Internet. Participants of the above-mentioned online open courses are not necessarily students in school. Participants can ...

AI Technical Summary

Problems solved by technology

[0006] However, the methods provided by the existing technologies still cannot effectively improve the course completion rate of participants, and the existing online courses can only be determined by the user's choice, and the online learning platform cannot intelligently generate a learning path for the user that is in line with the user's personalization

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