大家好，我的名字叫 Christian Rudder

過去簡單式

and I was one of the founders of OK Cupid.

形容詞最高級

It's now one of the biggest dating sites in the United States.

現在它是美國最大的交友網站之一

I was a math major, and, as you might expect,

我主修數學，而就如你所預期的

Google is now renewing its algorithm to make sure those who pay for ads gain more exposure.

Google 現在正在更新它的演算法以確保付費廣告的用戶獲得更多曝光。

The Facebook algorithm is driving me crazy. I'm tired of seeing the same kinds of content every day.

臉書的演算法快逼瘋我了，我實在不想每天打開臉書都看到相同類型的資訊。

Basically OK Cupid's matching algorithm helps us decide whether two people should go on a date.

基本上，OK Cupid 的速配演算法幫助我們決定某兩個人該不該去約會

and people like to drop it like it's this big thing,

而人們放棄搞懂因為它太複雜了

but, really, an algorithm is just a systematic,

但說真的，演算法只是一個有系統的

Here, in this lesson, I'm going to explain

how we arrived at our particular algorithm

Well, notice one very significant phrase I used above:

這個，請注意我剛剛用的那個非常具暗示性的詞彙：

they are a "step-by-step" way to solve a problem,

演算法是「一步一步」解決問題的方法

computers excel at step-by-step processes.

電腦很擅長做這種一步一步規劃好的程序

基本上只是一個很貴的紙鎮而已

I can stand this pervasive corruption anymore, the government must be overthrown as soon as possible.

我無法再忍受這種無所不在的腐敗了，我們必須及早推翻政府。

The pervasive phenomenon for high school students to live stream publicly is exposing themselves to a high personal safety risks.

中學生間盛行公開直播的現象使他們將自己暴露於很高的人生安全風險當中。

And since computers are such a pervasive part of everyday life, algorithms are everywhere.

由於電腦在日常生活中已經非常普及，所以演算法也是無所不在

The math behind OK Cupid's matching algorithm

was figuring out how to take something mysterious,

反而是要想辦法把一些神秘的東西

and break it into components that a computer can work with.

Well, the first thing we needed to match people up was data,

那麼，要將人們配對，我們首先需要的是數據

something for the algorithm to work with.

也就是要讓演算法能夠計算的東西

The best way to get data quickly from people

要快速取得人們資料的最好方法

So, we decided that OK Cupid should ask users questions,

所以，我們決定 OK Cupid 應該要問使用者一些問題

stuff like, "Do you want to have kids one day?"

像是：「你未來希望有小孩嗎？」

and "How often do you brush your teeth?",

and big stuff like "Do you believe in God?"

以及較大的問題，像是「你相信神嗎？」

that is when both people answer the same way.

這是當雙方都回答了相同答案的情況

For example, two people who are both into scary movies are probably a better match than one person who is and one person who isn't.

舉例來說，兩個都喜歡恐怖片的人也許就是不錯的配對，這比起將喜歡和不喜歡的人配在一起好

"Do you like to be the center of attention?"

「你喜歡成為眾人的焦點嗎？」

If both people in a relationship are saying yes to this,

如果一對情侶的兩個人都說「喜歡」

then they are going to have massive problems.

We had to ask people to specify not only their own answer,

我們要求使用者不只回答問題本身

but the answer they wanted from someone else.

但我們還須要另一個衡量的維度

Some questions tell you more about a person than others.

有一些問題比起其它問題，更能提供一個人的個性

For example, a question about politics, something like,

"Which is worse: book burning or flag burning?"

「哪一個比較糟：燒書或是燒國旗？」

might reveal more about someone than their taste in movies.

比起對電影的品味，這可能透露更多這個人的個性

And it doesn't make sense to weigh all things equally,

而每個人看事情的輕重大小都不同

所以我們加入了最後一個資料點

It's mandatory to hand in the paper immediately after the bell ring.

試卷被規定必須在鐘響之後馬上繳交。

The board is having a meeting now, discussing whether to make the 5-day month off mandatory.

董事會現在正在開會，討論是否要讓月休五日強制化。

and this ranges from irrelevant to mandatory.

而選項是從「不相關」到「極重要」

我們都有三筆資訊可以給我們的演算法：

也就是對於可能會跟你配對的人

and three, how important the question is to you at all.

第三，這問題究竟對你有多重要

OK Cupid can figure out how well two people will get along.

OK Cupid 就可以算出這兩個人相處會多融洽

The asian financial markets take years to recover from the crunches of the 1997 financial crisis.

在 1997 金融風暴後，亞洲金融市場花了好幾年才從危機中復甦。

They've been crunching the numbers for 10 hours in the lab. I believe they should take a break right now.

他們已經在實驗室裡花了十個小時進行大量的數值運算，我想他們現在是時候休息一下了。

The algorithm crunches the numbers and gives us a result.

演算法會在數值運算後，給我們一個答案

let's look at how we'd match you with another person,

讓我們來看看你和另一個人有多速配

Let's call that set of common questions, "s".

As a very simple example, we use a small set "s"

舉一個非常簡單的例子， 我們用很小的集合 s

只包含兩個雙方都回答過的問題

舉例來說，他們回答了這兩個問題

The first one, let's say, is, "How messy are you?"

第一個，比如說：「你有多不愛乾淨？」

And let's say you answered "very organized,"

and you'd like someone else to answer "very organized,"

而你期望別人也回答「很愛乾淨」

and the question is very important to you.

並且這問題對你來說「非常重要」

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