????業(yè)內(nèi)人士炮轟Facebook圖表搜索功能 科技寫(xiě)手史蒂夫的博客

????事實(shí)上，用戶(hù)對(duì)興趣和場(chǎng)所的社交互動(dòng)與查詢(xún)意圖之間的聯(lián)系要比Facebook宣稱(chēng)的小得多。

????計(jì)算機(jī)體系結(jié)構(gòu)中，過(guò)時(shí)的數(shù)據(jù)內(nèi)容被稱(chēng)為是“骯臟的”。訪問(wèn)骯臟數(shù)據(jù)浪費(fèi)時(shí)間，而且弊大于利。在這種情況下，組成圖表搜索的大部分結(jié)構(gòu)化數(shù)據(jù)正是完全不相干、而且骯臟的數(shù)據(jù)。

????事實(shí)證明，F(xiàn)acebook中包含的對(duì)象和興趣之間的聯(lián)系有一半是骯臟的，即“贊”與對(duì)象之間沒(méi)有真正的聯(lián)系，或者說(shuō)這種聯(lián)系已經(jīng)過(guò)時(shí)。這些數(shù)據(jù)是否真正代表用戶(hù)意圖根本無(wú)關(guān)緊要，重要的是，用戶(hù)對(duì)自己“贊”的東西根本不感冒。（財(cái)富中文網(wǎng)）

????譯者：項(xiàng)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????In computer architecture they call an out of date piece of data "dirty".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.