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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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この問題の2行目sbというのはなんでしょうか。 文字型sという箱の中にABCDという値が入っていて、 StringBuffer:sb←stringBuffer(s) sbという箱の中をABCDで初期化するという意味かと思ったのですが メンバ変数とかメソッドとかを説明してる枠... 続きを読む

ワグラム中の 問 11 次の記述中の [7] オブジェクト指向 頭の位置は1である。 (4)として Catsb 解説 p. 158 クラス StringBuffer は文字列処理を行うクラスである。 クラス StringBuffer a 図に示す。 に入れる正しい答えを, 解答群の中から選べ。 ここで、文字の先 明を ある。 関数 stringProcessing を stringProcessing ("ABCD") として呼び出すと, 戻り値はで ()tignod 型 説明 メンバ変数 文字列型 格納する文字列。 str 説明 コンストラクタ StringBuffer (文字列型: str) (Linersqlstsb. メソッド 戻り値 引数 strでメンバ変数 str を初期化する。 説明 append(文字列型: str) StringBuffer メンバ変数 str の末尾に引数 str を追加し,イ ンスタンスへの参照を返す。 delete(整数型: start, StringBuffer メンバ変数 str の start 番目からend - 1番 目まで削除し, インスタンスへの参照を返す。 メンバ変数 str を返す。 整数型: end) toString() 文字列型 TIDNA replace (整数型: start, StringBuffer メンバ変数 str の start番目から end 整数型 end, 文字列型: str) lastIndexOf( 整数型 文字列型: str) 目の部分文字列を引数 str に置換し, インス inersqtiqson タンスへの参照を返す。 tibne メンバ変数 str を検索し, 引数 strが最後に出 現する、先頭からの文字位置を返す。見つか らない場合は-1を返す。 図 クラス StringBuffer の説明 ISASE [プログラム] 1: ○整数型: stringProcessing (文字列型:s) 2: StringBuffer: sb ← StringBuffer(s) 3: sb ←sb.append("ABCD").delete(4, 6) 4: sb ← sb.append(sb.delete(2, 3).toString()).replace(3, 4, "D") 5: return sb.lastIndexOf("CD") 第1部 予想 ided ist ge 01508300 金を

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