Internet based method and system for recommending media courseware

Abstract

The invention provides an internet based method for recommending media courseware, which includes: obtaining courseware applicable attribute information by using a system terminal to analyze courseware attributes or courseware learning behavior data of users; determining preference information of the users by using the system terminal to analyze personal basic learning attribute information of the users or the courseware learning behavior data of the users; searching courseware lists suitable for the uses to learn according to the courseware applicable attribute information and the preference information of the users; and using a client to arrange and display the courseware lists searched from the system terminal according to the match degrees of the courseware lists suitable for the users to learn. The invention further provides an internet based system for recommending media courseware. By the aid of the internet based method and system for recommending media courseware, requirements of users on individual study can be met, precision and accuracy in recommending of suitable courseware to the users can be effectively improved, and the users can conveniently find the courseware suitable for learning.

Description

technical field [0001] This patent invention relates to the field of computer (including PC and mobile terminal equipment, such as: mobile phone, tablet, MID and other terminal electronic equipment) network multimedia teaching field, specifically, it involves the personalization of multimedia teaching courses and learning content objects in the teaching field relying on network multimedia Recommendation method and system for matching and pushing. Background technique [0002] In the current field of network multimedia teaching, most rely on traditional portals to provide homogeneous teaching content to all users in the network learning system. This method can no longer serve the current changing network teaching market and emphasizes the user's personality. Differentiated and differentiated learning requirements, reducing the accuracy and accuracy of recommending applicable course objects to users. [0003] At the same time, the general network teaching recommendation syste...

AI Technical Summary

Problems solved by technology

[0002] In the current field of network multimedia teaching, most rely on traditional portals to provide homogeneous teaching content to all users in the network learning system. This method can no longer serve the current changing network teaching market and emphasizes the individuality of users. Differentiated and differentiated learning requirements, reducing the accuracy and accuracy of recommending applicable course objects to users

[0003] At the same time, the general network teaching recommendation system avoids the "cold start" phenomenon that occurs when the multimedia system cannot effectively obtain enough user information at the beginning of its launch, and cannot effectively recommend learning content objects to users through analysis

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