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TOEIC・English Undergraduate

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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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Mathematics Senior High

(2)と(3)の解き方を教えて頂きたいです😣

一年の生徒で の文字列の 80 番目である。 の形 CMEAAAA, CMOAAAA, CMPAAAA, CMTAAAA の形の文字列は,それぞれ24個ずつあるから,200 番目の文字←P=4!=24 列は CMT△△△△の形の文字列の8番目である。 CMTE△△△の形の文字列は6個ある。 その後は, CMTOEPU, CMTOEUP の順に続く。 よって,200 番目の文字列は ←3P3=3!=6 CMTOEUP 通りあ P2 EX ○○○ 3年 13 図の①から ⑥ の6つの部分を色鉛筆を使って塗り分ける方 法について考える。 (4) P5 ただし、1つの部分は1つの色で塗り、隣り合う部分は異な ある色で塗るものとする。 ① (5) 百 るる (1) 6色で塗り分ける方法は, (2)5色で塗り分ける方法は, |通りである。 6 [通りである。 (3) 4色で塗り分ける方法は, [通りである。 (4) 3色で塗り分ける方法は, |通りである。 [立命館大] まとめて1 (1) 塗り分け方の総数は, 異なる6個のものの順列の総数に等し に入れる)。 いから P=6!=720 (通り) (2)5色を A, B, C, D, E とする。 ものは、次の ←隣接する部分が多い場 6つの部分を ② ②, ⑤ →>> ①→ ⑥ ③ る色をそれぞれ A, B, C とする。 所から塗り始める。 ④の順に塗ると考え, (4) B 生1年生 ①, ④ ることができる色を樹形図で調べると,次のよ ① うにな 含む A (6

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