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英語 高校生

全部わからないので教えてください

=10) 答えはすべて解答欄に書きなさい。 [2] 各問いに答えなさい。 [思・判・表] (教科書 P.38~P.41) (1) 日本語の内容に合う英文が完成するように、空欄にふさわしいもの を選択肢から選び、記号で答えなさい。 [2] A: It is hard ( ①) me ( ① ② ) play the clarinet. ② (私にとって、クラリネットを演奏することは難しいです。) B: It is (③) (④) you can speak Chinese. @ (あなたが中国語を話せることは驚きです。) C: Sam's idea is (⑤) ( 6 ) mine. サムの考えは私のよりも良いです。) (1) ④ ⑤ ⑥ [選択肢] ア. to イ. for ウ. about I. than オ. this 力. that ① +. surprised 7. surprising 5. well 3. good サ the best シ better (2) (2)[ ]内の語句を並び替えて英文を完成させた時、3番目にくる 語句)を記号で答えなさい。 ただし, 文頭にくる語の語頭も小文字 で示してあります。 ① この川で泳ぐことは危険です。 [ア. swim イ, to ウ. is it オ. dangerous ] in this river. ② サムがあのケーキを食べたことは明らかです。 [ア. clear イ.it ウ. that 工. Sam オ.is] ate that cake. あなたが今しなければならないことは十分な睡眠をとることです。 [ア.is イ do now ウ.what I have to オ. you to have a good sleep. ④これは5つの中でいちばん人気のある映画です。 This is [ア. the five イ. movie ウ popular 工 the most オ. of]. ug (3点x10)

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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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