今日科技速递：亚马逊入侵iPhone

    业内人士炮轰Facebook图表搜索功能 科技写手史蒂夫的博客

    事实上，用户对兴趣和场所的社交互动与查询意图之间的联系要比Facebook宣称的小得多。

    计算机体系结构中，过时的数据内容被称为是“肮脏的”。访问肮脏数据浪费时间，而且弊大于利。在这种情况下，组成图表搜索的大部分结构化数据正是完全不相干、而且肮脏的数据。

    事实证明，Facebook中包含的对象和兴趣之间的联系有一半是肮脏的，即“赞”与对象之间没有真正的联系，或者说这种联系已经过时。这些数据是否真正代表用户意图根本无关紧要，重要的是，用户对自己“赞”的东西根本不感冒。（财富中文网）

    译者：项航

    Facebook Graph Search's dirty promise and the con of the Facebook "Like" [STEVE'S BLOG]

    The truth however is that the link between query intent and your social interactions for interests and places is much weaker than FB wants you to believe.

    In computer architecture they call an out of date piece of data "dirty". Accessing dirty data is bad, wasting time and causing more harm than good. And in this context, much of the structured data that makes up Graph Search is just that:totally irrelevant and dirty.

    It turns out as much as half of the links between objects and interests contained in FB are dirty—i.e. there is no true affinity between the like and the object or it's stale. Never mind does the data not really represent user intent... but the user did not even 'like' what she was liking.