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A learning resource recommendation method based on multi-view interest

A technology for learning resources and recommending methods, which is applied in the fields of instruments, calculations, electrical digital data processing, etc., and can solve problems such as neglect

Active Publication Date: 2021-03-19
ZHONGBEI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods often ignore the need for learners to have multiple points of interest

Method used

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  • A learning resource recommendation method based on multi-view interest
  • A learning resource recommendation method based on multi-view interest
  • A learning resource recommendation method based on multi-view interest

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with drawings and embodiments.

[0059] The present invention provides a learning resource recommendation method based on multi-view interests, including the following process:

[0060] (1) For learners' historical learning records R=[T 1 , T 2 ,...,T SIZE ], SIZE is the number of learning resources in the historical learning records, in order to set one row in each learning resource to represent a sentence, browse each sentence in each learning resource in turn according to step (1-1) to step (1-3) :

[0061] (1-1) Let the current browsing sentence be the kth sentence, and the global scope of the kth sentence is the currently browsing learning resource T t From the first sentence to the kth sentence, the local scope of the kth sentence is the currently browsed learning resource T t The k-d sentence to the k+d sentence, where d is a preset value, calculates the correlation between feature words ac...

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Abstract

The invention provides a learning resource recommendation method based on multiple view interests. The method comprises the following steps of: firstly browsing history learning records of a learner,constructing a feature word local network; then calculating four view interests of the learner; and finally performing learning resource recommendation according to four view interestingness. According to the learning resource recommendation method based on multiple view interests, interest preference of the learner is analyzed from two views of interest stability and interest features; establishing an interest model based on multiple view interests, and recommending required resources to the learner according to different interests of the learner; the recommendation accuracy is ensured; the recommendation diversity is remarkably improved, and the real demands of the learner can be met.

Description

technical field [0001] The invention relates to a method for recommending learning resources based on multi-view interests, which belongs to the technical field of computers. Background technique [0002] Facing the massive learning resources of online learning, learners often fall into the embarrassing situation of "resource overload" and "learning trek". In order to solve the above problems, researchers have introduced recommendation technology into online learning, trying to provide learners with personalized learning resources. Scholars at home and abroad have made a series of landmark achievements in the study of learning resource recommendation, which can be summarized into the following categories: [0003] (1) Content-based recommendation method. The content-based recommendation method is the earliest recommendation method proposed by the academic circle. It recommends learning resources to learners based on the matching degree between the learner's feature vector ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9536
Inventor 刘忠宝李花张志剑王文杰
Owner ZHONGBEI UNIV