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TOEIC・英語 大学生・専門学校生・社会人

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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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英語 中学生

中3英語です (1)なんですが、なんでliveなんですか?

toは相手が向かう目的地 相手に働きかけるタイプの動詞は want, ask, tell のほ かにもいろいろあります。 右の表でさらにいくつかの動 詞を眺めて、 共通するところをイメージしてみましょう。 この文法では,相手に働きかけるタイプの動詞とセット 〈to不定詞> を使いますが,この to不定詞のto は go to the park の toと同じように目的地を表す役割を持っ ています。 I want you to live to be 100 2 相手に働きかけるタイプの動詞 と意味 want ・・・ to teach order to ・・・に~することを望む ask to~ ・・・に~するよう頼む 3 tell *** to ・・・に~するよう伝える to 2 ・・・に~するよう教える ・・・に~するよう命じる encourage to ... ・・・に~するよう促す advice to~ ・・・に~するよう助言する 相手 相手が向かう目的地 persuade to~> ... ・・・に~するよう説得する 日本語の都合で相手の部分を 「に」と訳したり・・・が と訳したりしますが,重要なのは「自分の思い」 と 「相手」 と「相手が向かう目的地」 を順に並べているだけというこ とです。シンプルですね。 expect to ・・・が~することを期待する remind to~ ・・・が~することを思い出させる enable ... to~ ・・・が~することを可能にする allow to~> ・・・が~することを許す 空欄に合う動詞を書こう。 (1) 100歳まで生きる ②と組み合わせて 使えそうな表現だよ live to be 100 動詞 wake book live

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