A resource recommendation system and method based on network learning environment

A learning resource and network learning technology, applied in the field of resource recommendation system, can solve the problem of low quality of recommended result sets, achieve the effect of easy implementation and expansion, improve learning effect, and increase data dimension and information volume

Active Publication Date: 2019-12-06
BEIJING NORMAL UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problem to be solved by the present invention is to overcome the problem of low quality of the existing recommended result sets, provide a resource recommendation system and method based on the network learning environment, and achieve the purpose of recommending targeted and high-quality learning resources for users

Method used

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  • A resource recommendation system and method based on network learning environment
  • A resource recommendation system and method based on network learning environment
  • A resource recommendation system and method based on network learning environment

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] Such as figure 1 As shown, the present invention is a resource recommendation system based on a network learning environment, including a data acquisition module, a user multi-dimensional feature vector and rating vector extraction module, a rating credibility vector extraction module, and a learning resource recommendation module.

[0031] The specific implementation of the data acquisition module is as follows:

[0032] (1) Through the user's personal information and academic information in the school, the administrator uses this information to import user ID, name, password (the password is the initial password of the platform, and students can modify it after logging in with the initial password), gender, grade, advantage Subjects, stored in the user attribute database;

[0033] (2) Every time a user logs in to use the platform, ...

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Abstract

The invention relates to a network learning environment-based resource recommendation system and method. The system comprises a data collection module, a user multi-dimensional eigenvector and scoringvector extraction module, a scoring credibility vector extraction module and a learning resource recommendation module. By utilizing a cooperative filtering thought, a user group similar to a targetuser is screened out; and in combination with the similarity between the similar user group and the target user, and the credibility of user scoring, learning resources are scored and recommended, sothat the scoring of the learning resources has user pertinence and scoring objectivity, and personalized and high-quality learning resources are recommended for users. The resource recommendation system and method can be applied to an online network learning platform; and personalized and reliable learning resource recommendation services are provided for the users, so that the satisfaction of theusers to the recommended learning resources is improved.

Description

technical field [0001] The invention relates to a resource recommendation system and method based on a network learning environment, which belongs to the field of recommendation systems and is applied in a network learning environment. Background technique [0002] In the era of information overload, the recommendation system can help users find content that meets their individual needs, so it has been widely used in e-commerce and social networking sites. Most of the existing recommendation systems use the information and data of other users who have similar characteristics and common experience with the target user to recommend content of interest to the user. Among them, the features in the similar feature usually refer to the personal features of the users, and the experience in the common experience usually refers to the user's rating or behavior on the item. In the learning resource recommendation system, users do not only want to obtain the learning resources they ar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535H04L29/06
Inventor 余胜泉卢宇庄梓君李葆萍
Owner BEIJING NORMAL UNIVERSITY
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