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15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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数学 高校生

解説お願いします。 (2)の問題で、1行目のマーカー部分の変形をする理由がわからないです。 私は変形しないまま解いて間違えたのですが、変形しないままで正答を出す方法はあるのでしょうか? 解説が式変形をしている理由と、変形しなくても解ける解き方があればその解き方を教えていただ... 続きを読む

例題 251 定積分で表された関数 合 頻出 ★★☆☆ 次の等式を満たす関数 f(x) と定数 αの値を求めよ。 *f(t) dt = 3x²+x2 ② f(t)dt = 3x-ax+1 *f(t) dt は、 の関数である。 例題 250 との違い … 等式に定積分を含むのは同じであるが、積分区間に変数xを含む * f (t)dt = [F(t)] = ← a = F(x)-F(a) xの関数 見方を変える xで微分すると off(t)dt= = d{F(x)-F(a)}=f(x) dx dx =0 思考プロセス clione x= を代入すると f(t)dt = Action» f(t)dt を含む等式は,xで微分せよ 16(1) a b) (x=th(3) 解 (1) 与式の両辺をxで微分すると, caf*f(t)dt=f(x)より f(x) =6x+1 ・a ( =(1) ① --- 与式にxa を代入すると, "f(t)dt=0 より ff(t)dt=0 を用い (10=3a2+α -2 TAM (3a-2) (a+1)= 0 より 2 るために、積分区間の下 端のαをxに代入する。 a= 3 1536th(+ x 8-= ① LF dt = - [Fa == f(t)dt M(1) (2) 与式は ∫*f(t)dt = -3x+ax-1 ①の両辺をxで微分すると, dxf (edt=f(x)より f(x)=-6x+α ① に x=1 を代入すると,f(t)dt=0 より よって 0= -3+α-1 a=4 ②に代入すると f(x)=-6x+4 積分区間の上端と下端が 一致するようなxの値を 代入する。

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