%0 Journal Article
%T 面向应用领域的推荐方法研究综述<br>A Review of the Research on Recommendation Methods for Application Fields
%A 马思远
%A 贺萍
%J Computer Science and Application
%P 1317-1327
%@ 2161-881X
%D 2019
%I Hans Publishing
%R 10.12677/CSA.2019.97148
%X <div style=\"text-align:justify;\">
	<span style=\"font-size:14px;\">推荐方法是解决“信息过载”问题的一种热门研究技术，传统的推荐方法在音乐、视频、新闻等领域存在数据稀疏、冷启动等问题，将深度学习融入推荐方法中，可以有效解决上述问题。对传统推荐方法在音乐、视频、新闻等领域的应用进行分析，重点介绍基于深度学习的音乐和视频领域的推荐方法，最后对基于深度学习的推荐方法进行了总结和展望。<br />
Recommendation method is a popular research technology to solve the problem of “information overload”. Traditional recommendation methods have problems such as data sparse and cold start in music, video, news and other fields. Deep learning can be integrated into the recommendation method to effectively solve the above problems. This paper analyzes the application of traditional recommendation methods in music, video, news and other fields, focuses on the recommendation methods in music and video fields based on deep learning, and finally summarizes and prospects the recommendation methods based on deep learning.</span> 
</div>
%K 推荐方法，深度学习，音乐，视频<br>Recommended Methods
%K Deep Learning
%K Music
%K Video
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=31345