Facebook 大量蒐集 GPS 定位資訊後用機械學習「猜測」你可能認識的人

Bruce Schneier 這邊看到「Facebook Using Physical Location to Suggest Friends」這則文章,引用自「Facebook is using your phone’s location to suggest new friends—which could be a privacy disaster」這篇報導,報導開頭寫著更新的資訊:

Update (June 28): After twice confirming it used location to suggest new friends, Facebook now says it doesn’t currently use “location data, such as device location and location information you add to your profile, to suggest people you may know.” The company says it ran a brief test using location last year. New story here.

Facebook 第二次確認後發現是標準的「啊!靠腰!是 PR 災難」的處理方式。在第一次跟 Facebook 確認時,Facebook 發言人的正式回覆說明了手機的位置是計算的條件之一:

“People You May Know are people on Facebook that you might know,” a Facebook spokesperson said. “We show you people based on mutual friends, work and education information, networks you’re part of, contacts you’ve imported and many other factors.”

One of those factors is smartphone location. A Facebook spokesperson said though that shared location alone would not result in a friend suggestion, saying that the two parents must have had something else in common, such as overlapping networks.

“Location information by itself doesn’t indicate that two people might be friends,” said the Facebook spokesperson. “That’s why location is only one of the factors we use to suggest people you may know.”

靠背...

Google Compute Engine 推出 Custom Machine Type

Google Compute Engine 推出了可以自己設定 CPU 與 RAM 的機器種類:「Custom Machine Types - Compute Engine — Google Cloud Platform」。

可以從 1 個 vCPU 到 32 個 vCPU,而記憶體最多是 6.5GB * vCPU 數,所以理論上最高是 208GB?

Create a machine type with as little as 1 vCPU and up to 32 vCPUs, or any even number of vCPUs in between. Memory can be configured up to 6.5 GB of RAM per vCPU.

計價方式就是 vCPU 算一份,記憶體算一份。記得以前有比較小的 Cloud Service 有提供過類似的計價方式,後來都收掉了...

國際太空站要裝咖啡機了...

在「The International Space Station (Finally) Gets an Espresso Machine」這篇看到的,原始的報導出自「The International Space Station (finally!) gets an espresso machine」。

幾個重點 XDDD

The ISSpresso requires 120V DC power which is obtained at the Utility Outlet Panel (UOP) on the ISS.

很特別的電力,是 120V DC 而非 120V AC...

虛擬環境下檔案系統的讀寫速度...

有人對 VMware 以及 VirtualBox 測試效能:「Comparing Filesystem Performance in Virtual Machines」,有四張圖:

不過數字怪怪的,NFS 那邊是怎樣 XDDD

看看就好,如果有用到再自己測試看看吧?

HHVM 2.3.0 支援 FastCGI...

HHVM 官方的 blog 上看到 2.3.0 的消息:「HHVM 2.3.0 and Travis CI」。

GitHub 上的「FastCGI」這頁就有提到要怎麼透過 FastCGI 界面跟 Apache 配合,熟悉 nginx 的人也應該可以輕鬆對應過去。

另外一個重要的事情是 Travis CI 支援 HHVM 了,可以看到大量的專案加上 HHVM 測試:YiiSlimphpBBJoomlaDoctrineCodeIgniterIdiormPHPUnitParis

既然支援 FastCGI 了,來找機會測試看看...

Machine Learning 的課程 (2013 年一月開課,已經完結)

在「推薦系統的課程...」這篇推薦了 2013 秋天的課程,不過整理舊文章的時候發現有另外一門講 Machine Learning 的課程已經結束 (不僅僅是 Recommendation System)。

CMU 的課程:「Introduction to Machine Learning」,課程都有 PDF slide 與錄影可以看。

相較於推薦系統,機器學習的課程比較篇理論,而且也比較廣泛,而推薦系統比較偏應用。