计算机与现代化 ›› 2013, Vol. 218 ›› Issue (10): 94-97.doi: 10.3969/j.issn.1006-2475.2013.10.024

• 数据库 • 上一篇    下一篇

Redis数据库在视频推荐服务系统中的应用

曹丹丹,乐嘉锦,夏小玲   

  1. 东华大学计算机科学与技术学院,上海201620
  • 收稿日期:2013-05-03 修回日期:1900-01-01 出版日期:2013-10-26 发布日期:2013-10-26

Application of Redis in Video Recommendation Service System

CAO Dan-dan, LE Jia-jin, XIA Xiao-ling   

  1. School of Computer Science and Technology, Donghua University, Shanghai 201620, China
  • Received:2013-05-03 Revised:1900-01-01 Online:2013-10-26 Published:2013-10-26

摘要: 视频推荐是为解决在信息过载的时代,如何准确地把与用户相关的视频信息推荐给感兴趣的用户而提出的,其要求实时并发性。基于内存Key-value引擎的NoSQL数据库Redis相对于传统的关系数据库表现出一定的优势,为了提高效率,把数据暂时保存在内存中,或配置为使用虚拟内存实现数据持久化。本文将Redis数据库的快速高效性运用在视频推荐服务系统中,实现更高效的推荐。

关键词: Key-value, Redis, NoSQL, 信息过载

Abstract: Video recommendation system is proposed for solving the problem of how to recommend video information that associated with users to the user accurately in the era of information overload. So the system require real-time and concurrent. Redis as one of NoSQL database products based on the memory Key-value engine showes certain advantages relative to traditional relational database. To improve efficiency, Redis puts the data storing in memory temporarily, or using virtual memory for data persistence. Therefore, the paper proposes the application of Redis in the video recommendation system, using the advantage of Redis to achieve a high efficiency of recommendation.

Key words: Key-value, Redis, NoSQL, information overload

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