Multi-objective fused educational resource personalized recommendation system and method

Abstract

The invention discloses a multi-objective fused educational resource personalized recommendation system, which is characterized by comprising a recommendation system, and the recommendation system comprises a service layer, a recommendation layer, a strategy layer and a data layer. The data layer comprises data displayed and fed back by a user, a user interest model, resource content and overall resource content. The strategy layer comprises representation features of learner users and representation features of education resources. The recommendation layer comprises an SOM-CNN model, an ITEM-SOM model and a recommendation list generated according to the SOM-CNN model and the ITEM-SOM model. The service layer comprises education resource recommendation services for different users. The idea of integrating multi-task target learning is applied to the educational resource recommendation system, personalized recommendation of educational resources is realized, the recommendation accuracyand diversity are used as two to-be-learned target tasks of the network, and two different network module structures are adopted to concentrate on the accuracy and diversity of recommendation resultsrespectively. And a unified loss function is designed, and synchronous end-to-end learning and training are performed on multiple targets of the network recommendation result.

Description

technical field [0001] The invention relates to the technical field of education systems, in particular to a system and method for individualized recommendation of educational resources that integrates multiple objectives. Background technique [0002] The development of modern science and technology has contributed to the exponential growth of the total amount of global information. While information technology promotes educational equity, it also brings great challenges to educational equity. In the face of massive educational resources, students face many difficulties in quickly obtaining high-quality personalized educational resources. [0003] 1. The massive, static and disorganized educational resources have seriously increased the time and energy costs for students to collect resources. [0004] 2. The rapid development of Internet technology has put forward higher requirements for students' information literacy. As a result, students with high information literacy c...

AI Technical Summary

Problems solved by technology

[0003] 1. The massive, static and disorganized educational resources have seriously increased the time and energy costs for students to collect resources

[0004] 2. The rapid development of Internet technology has put forward higher requirements for students' information literacy. As a result, students with high information literacy can collect high-quality resources from a large number of resources, while it is more difficult for users with low information literacy, which intensifies education. unfair

[0005] 3. Non-mainstream high-quality educational resources are often covered due to the frequent use of mainstream educational resources, resulting in a serious waste of resources and failing to meet the personalized learning needs of users

However, most education and teaching systems or platforms do not apply personalized recommendation technology to a high degree, and the recommendation effect is poor; some even do not have a resource recommendation subsystem, but simply count resources and perform a so-called popular Resource recommendation

This method does not consider the particularity of individual users, which brings poor user experience to users

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