版权说明 操作指南
首页 > 成果 > 详情

A content-based recommendation algorithm for learning resources

认领
导出
Link by 万方学术期刊
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Shu, Jiangbo;Shen, Xiaoxuan*;Liu, Hai;Yi, Baolin;Zhang, Zhaoli
通讯作者:
Shen, Xiaoxuan
作者机构:
[Shen, Xiaoxuan; Zhang, Zhaoli; Yi, Baolin; Shu, Jiangbo; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Shen, Xiaoxuan] C
Cent China Normal Univ, Natl Engn Res Ctr Learning, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Resources recommendation;Convolutional neural network;L-1 norm;Split Bregman iteration method
期刊:
Multimedia Systems
ISSN:
0942-4962
年:
2018
卷:
24
期:
2
页码:
163-173
基金类别:
specific funding for education science research by self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU16JYKX031, CCNU16JYKX027]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61505064]; Project of the Program for National Key Technology Research and Development Program [2013BAH72B01, 2013BAH18F02, 2015BAH33F02, 2014BAH22F01, 2015BAK07B03]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Automatic multimedia learning resources recommendation has become an increasingly relevant problem: it allows students to discover new learning resources that match their tastes, and enables the e-learning system to target the learning resources to the right students. In this paper, we propose a content-based recommendation algorithm based on convolutional neural network (CNN). The CNN can be used to predict the latent factors from the text information of the multimedia resources. To train the CNN, its input and output should first be solved. For its input, the language model is used. For its ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com