基于深度学习的英语教学资源个性化推荐系统  

Personalized recommendation system of English teaching resources based on deep learning

作　　者：岳佩[1] 张浩[2] YUE Pei;ZHANG Hao(College of Humanities and Education,Shaanxi Energy Institute,Xianyang 712000,Shaanxi Province,China;Electrical Center,Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712000,Shaanxi Province,China)

机构地区：[1]陕西能源职业技术学院人文与教育学院,陕西咸阳712000 [2]西北机电工程研究所电气中心,陕西咸阳712000

出　　处：《信息技术》2023年第6期149-153,160,共6页Information Technology

摘　　要：为准确、合理地为用户推荐英语教学资源,设计基于深度学习的英语教学资源个性化推荐系统。通过爬虫技术获取用户行为数据和英语教学资源数据,提取二者的特征并融合;利用深度学习模型建立用户行为特征和英语教学资源特征之间的关联,实现个性化推荐。测试结果表明:系统的召回率、准确率和归一化折损累积增益均保持在一个较高的水平上,说明其推荐效果较好。In order to recommend English teaching resources to users accurately and reasonably,this paper designs a personalized recommendation system for English teaching resources based on deep learning.The user behavior data and English teaching resource data are obtained through crawler technology,and then the characteristics of the two are extracted and fused.Then,the deep learning model is used to establish the relationship between user behavior characteristics and English teaching resources characteristics,so as to achieve personalized recommendation.Test results show that the recall rate,accuracy rate and normalized cumulative loss gain of the proposed system are kept at a high level,which indicates that the recommendation effect of the proposed system is better.

关 键 词：深度学习 英语教学资源 个性化推荐 特征提取 系统设计 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]