摘要
在大数据时代,社交网络以及以社交为基础的互联网应用不断迅猛发展,其背后带来的是数据的爆炸式增长。对用户数据的采集以及合理的推荐,成为了各大网站的重要课题。用户画像提取过程,是个性化推荐的关键步骤。随着社交网络的快速发展,媒体类型不断丰富,用户参与门槛的不断降低。用户表达的数据模态逐渐呈现多样,为用户画像提取提供了广阔空间。随着用户画像数量的不断递增,利用大数据技术,有效的存储、计算用户画像,逐渐成为研究热点。本文首先介绍了相关的背景,然后介绍了基于大数据的用户画像构建方法,并介绍了不同数据集中的用户画像的应用,最后本文对基于大数据的用户画像方法进行了总结和展望,指明了该技术当前存在的问题与发展趋势。
In the era of Big Data, with the quick growth for Social Network Service with related apps, we will face the huge increase of data behind. Its very important subject to all major web portals for user data selection and recommendation. The process of extraction of ＂User portrait＂ is a key step in individual recommendation. With the quick development of Social Network, there are more and more different media type and extremely convenience of user engagement. There is very large space for ＂User portrait＂ via multiple data model of user expression. With the frequent increase numbers of ＂User portrait＂ , it will be a key researching point to make full use of big data, effec- tive storage and ＂user portrait＂ . This article firstly introduce the related background, approach of ＂User portrait＂ build based on technology of big data, and then describe the application of ＂User portrait＂ concentrating different data mode. Finally based on the approach of ＂User portrait＂ via Bia Data, we have a summarization and expectation above, and share the current existing issue in the technology of ＂User portrait＂ and developing tendency on it in the near future
出处
《广播电视信息》
2017年第10期37-41,共5页
Radio & Television Information
