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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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TOEIC・英語 大学生・専門学校生・社会人

テストの過去問に解答がなく、答えがわからないので英語得意な方教えていただきたいです🤲明日がテストなので早めに解答をいただけるとありがたいです🙇‍♀️

Ⅱ 次の英文を読み, 問に答えよ。 2.2.2. Consumer test それぞれ異なる容量の1つのキューブ (10) Consumers were recruited among workers from the Instituto de Agroquímica y Tecnología de Alimen- tos, Valencia, Spain. Thirty persons, 22-60 years old, approximately half female, half male, who consumed apples frequently, were used for the study. Consumers received one cube from each different storage time fol-following lowing a balanced complete block experimental design. For each sample they had to score global acceptability of the product using a nine-box) scale labeled on the left with “dislike very much', in the middle with indiffer- ent" and on the right with "like very much". They also answered the question “Would you normally consume this product?" with a yes or a no (Hough et al., 2003; Gámbaro et al., 2004a,b). ロロロ B 問1. 本文中に記載されている試験方法は, 何を何するかどうかを問うものである。 "( A ) ( )する場合の試験” と答える場合に, (A) と(B)に当てはまる単語を英語で答えよ。 問2. 何人のパネルに試験しているのかを答えよ。 問3.ここで示されている食品の官能評価法をもっとパネルが評価しやすく回答しやす いようにするには, どうしたらよいか答えよ。 問4. パネルの男女比はどの程度であると述べているか答えよ。 5. この英文に書かれている内容に沿った官能評価シートを作成せよ。 以上

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TOEIC・英語 大学生・専門学校生・社会人

これの和訳して貰えませんか?

5 Reading Passage 10 15 20 Yuna Kim is one of the world's best figure skaters. At the 2010 Winter Olympics in Vancouver, she set three world records. In fact, one of those world records broke a record she set in 2009. program and a At the Olympics, both male and female skaters perform a short seven program. In the short program, skaters have less than three minutes to perform required jumps, spins, or other moves. While doing these seven things, the skaters also have to show judges how well they can put these elements together into a kind of dance performance on the ice. The long program is similar to the short program except that skaters perform for a longer time and have more required moves. long Before the 2010 Winter Olympics began, many people thought Yuna Kim was likely to win a gold medal. Certainly, there were other women skaters who had the skill to win gold at the Olympics. However, Ms. Kim had an advantage. She had already set a number of world records. In 2007, she set the record for the highest score in a short program with 71.95 points in Japan. The same year she also set the world record for the highest score in a long program with 133.7 points in Russia. Then, in 2009 she beat her own record in the short program by scoring 76.12 in the United States. At that competition, she also became the first woman to score over 200 points with her short and long programs - her combined score was 207.71. The next year at the Winter Olympics in Vancouver, she broke her records again. In the short program, Ms. Kim scored 78.5, a new world record. In the long program, she scored 150.06, another world record. This gave her a combined total of 228.56 points, a third world record! Needless to say, her score was enough to win gold.

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