基于Hadoop 的标签推荐系统设计

谌颃

电脑与电信 ›› 2015, Vol. 1 ›› Issue (7) : 59-61.

电脑与电信 ›› 2015, Vol. 1 ›› Issue (7) : 59-61.
应用技术与研究

基于Hadoop 的标签推荐系统设计

  • 谌颃
作者信息 +

Design of Tag Recommendation System Based on Hadoop

  • Chen Hang
Author information +
文章历史 +

摘要

个性化推荐技术的发展有利于解决互联网海量数据信息过载问题。本文在了解分布式处理架构的特点的基 础上,提出了基于Hadoop 构建标签推荐系统方案。采用基于MapReduce 模型实现的算法具有较高的伸缩性和性能,能高效 地进行离线数据分析。

Abstract

Personalized recommendation technology development is conducive to resolve the Internet data information overload problem. Based on the understanding of the characteristics of distributed processing architecture, this paper proposes the tag recommendation system based on Hadoop. The algorithm based on MapReduce model has high scalability and performance, and can analyze offline data efficiently.

关键词

个性化推荐 / 标签推荐系统 / 云计算 / Hadoop / 个性化推荐 / 标签推荐系统 / 云计算 / Hadoop

Key words

personalized recommendation / tag recommendation system / cloud computing / Hadoop / personalized recommendation / tag recommendation system / cloud computing / Hadoop

引用本文

导出引用
谌颃. 基于Hadoop 的标签推荐系统设计[J]. 电脑与电信. 2015, 1(7): 59-61
Chen Hang. Design of Tag Recommendation System Based on Hadoop[J]. Computer & Telecommunication. 2015, 1(7): 59-61
中图分类号: TP391.3   

Accesses

Citation

Detail

段落导航
相关文章

/