通过足够的用户量和更多打磨，社会化标签可以产生一个对书籍、红酒和音乐都很管用的推荐系统。
With enough users and more tweaking, social tagging can result in a system that works equally well for books, wine and music.
几个月前，Amazon就曾发布过一个新的社会化功能：基于某个用户Facebook上的个人资料和朋友们的喜好，给他推荐商品。
A few months ago, Amazon rolled out a new social feature that allows users to receive recommendations based on information in your Facebook profile and friends preferences.
最近被应用到推荐系统的一些方法，比如潘多拉的基因灵感和del.icio.us的社会化标签，都是值得思考的。
Recent approaches to recommendation engines, like the genetics-inspired Pandora and social tagging pioneered by del.icio.us, are intriguing.
最后，分析了社会化标注中个性化信息推荐的研究，发现借助矩阵、聚类和网络的分析是三种主要思路。
Finally, studies on personalized information recommendation based on social tagging are analyzed, and find matrix, clustering and network analysis are three primarily methods.
本文在对社会化标注的内涵和结构加以简单介绍的基础上，重点探讨了基于社会化标注进行推荐的相关进展。
Based on the introduction of the meaning and structure of social tagging, this paper mainly discusses the advancements of personalized information recommendation based on social tagging.
因此，将社会化标签用于推荐技术非常合适。
Therefore, social tag is more suitable for the recommendation technique.
因此，将社会化标签用于推荐技术非常合适。
Therefore, social tag is more suitable for the recommendation technique.
应用推荐