Online course recommendation method and device, computer equipment and storage medium

Abstract

The invention provides an online course recommendation method and device, computer equipment and a storage medium. The method comprises the steps of obtaining basic feature data of a user, wherein thebasic feature data comprises user attribute data, user behavior data, user growth data and user access data; determining an interest feature descriptor of the user according to the basic feature data; determining a to-be-recommended interest point model corresponding to the basic feature data; and determining an interested course recommendation list of the user according to the to-be-recommendedinterest point model and the interest feature descriptor. By adopting the method provided by the invention, the defects that the learning direction of the user is not clear and the learning ability range is not known due to the adoption of a universal course learning scheme or a plurality of fixed course learning schemes in the prior art can be avoided; and the blindness of online learning of theuser is effectively avoided, so that the pertinence and accuracy of online course recommendation are also effectively improved.

Description

technical field [0001] The present application relates to the technical field of recommendation, in particular to an online course recommendation method, device, computer equipment and storage medium. Background technique [0002] With the country's emphasis on teacher information education and the continuous development of intelligent education, teachers can improve their teaching and professional abilities through online learning, and engage in education work in a more professional and knowledgeable manner. [0003] At present, the online learning platform for teachers can not only provide a set of general learning programs, that is, when teachers log in to the online learning platform, they can directly receive the learning programs provided by the platform for learning; they can also provide several sets of learning programs of different levels for teachers to learn online, so that After logging into the learning platform, teachers can choose a learning plan that matches...

AI Technical Summary

Problems solved by technology

[0004] Although the general learning plan can meet the online learning needs of most teachers, it cannot be precise and personalized. Although several sets of learning plans at different levels are slightly targeted, they also provide the same learning plan for teachers of the same level. , obviously cannot meet the individualized and precise learning needs of teachers

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