Big Data and Recommendation System

Cuiping Li; Mengwei Lan; Benyou Zou; Shaoqing Wang; Kankan Zhao

doi:10.11959/j.issn.2096-0271.2015026

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Big Data and Recommendation System

Special Topic:Network big data | 更新时间：2024-06-03

- Big Data and Recommendation System
- BIG DATA RESEARCH Vol. 1, Issue 3, Pages: 16-28(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2015026
  CLC： TP311.13
- Online First：2015-06，
  
  Published：20 June 2015
- 稿件说明：
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Cuiping Li, Mengwei Lan, Benyou Zou, et al. Big Data and Recommendation System[J]. BIG DATA RESEARCH, 2015, 1(3): 16-28.
DOI：

Cuiping Li, Mengwei Lan, Benyou Zou, et al. Big Data and Recommendation System[J]. BIG DATA RESEARCH, 2015, 1(3): 16-28. DOI： 10.11959/j.issn.2096-0271.2015026.

摘要

随着大数据时代的来临，网络中的信息量呈现指数式增长，随之带来了信息过载问题。推荐系统是解决信息过载最有效的方式之一，大数据推荐系统已经逐渐成为信息领域的研究热点。介绍了推荐系统的产生及其在大数据时代的发展现状、推荐系统的领域需求和系统架构、大数据环境下推荐系统的挑战及其关键技术、开源的大数据推荐软件、大数据推荐系统研究面临的问题，最后探讨了大数据推荐系统的未来发展趋势。

Abstract

In big data era

recommendation system is the key means to tackle the issue of “information overload”.Recommendation system has been widely applied to many domains.The most typical and promising domain is the e-commence.Recently

with the rapid development of e-commence

recommendation system becomes more and more important and is promoted as a hot research field.The history and development of recommendation system

its domain requirements and system architecture

its characteristics and challenges under big data environment

its key techniques

open source big data recommendation systems were introduced.And at last

the open research problems and future trends of bid data recommendation system were discussed.

关键词

Keywords

references

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