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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

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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TOEIC・英語 大学生・専門学校生・社会人

自分の回答があっているか不安なので、4第答えて頂きたいです。 自分の回答はこちらには見にくくなってしまうため書いていません。

Working with words 1 Complete the review of a hotel. Use the answers to complete the puzzle and find the European city where the hotel is located. HOTEL REVIEWS This first-class hotel and conference centre welcomes guests from all over the world. Its 1 facilities are second to none. There are 300 en-suite rooms and five apartment suites. For business guests, it has ten meetings rooms, two of which are big enough to be used as halls. 2 The hotel can also organize events such as guided 3 around the town centre for conference 4 and hotel guests who enjoy a bit of 5 For food-lovers, the four-star restaurant serves regional 6 every evening. All in all, this is a top-class for business and for pleasure. 7 6 1 A fa 0 il i t 1 e S 2 Replace the words in italics (1-8) with the phrases from the list. Add a pronoun if necessary. you hotel? look around meet up with show someone around 3 freshen up eat out pick someone up check in drop someone off Pedro It's difficult to park here. Can I stop and leave drop you off in front of the 1 Sabrina Sure, I'll register 2 and then I'd like to have a wash, and change my clothes 3 Pedro If you like, tonight I can give you a tour of 4 the old city. We could by eat in a restaurant 5 the port. Sabrina That sounds great! I'd rather walk about and See 6 the city than stay in my hotel room. Pedro I'll collect you 7 8 8.30 p.m. We'll see Alberto and Maite in the main square. at Business communication 1 Put the words in the correct order to make expressions. 1 meet person / it's / nice / to / you / in It's nice to meet you in person 2 have / did / finding / you/ any / trouble / us? 3 worry / signing / don't / about / in 4 through / programme / I'll / run / today's 5 this my / come / way / to / office 6 need building / you'll / this / enter / badge/ the / to 7 reception / sure / make / in / at / you / sign 2 Raymond Roberts has an appointment with Janet Rose. He has just arrived at HBG premises. Complete their conversation with the phrases from the list. let me take your bag can I get you a drink Welcome to HBG publishing I thought you could catch up again how was your journey You'll need this Make sure you 1 Raymond Good morning, I'm here to see Janet Rose. Janet Hello, I'm Janet. ¹ Welcome to HBG publishing. Raymond It's nice to meet you in person. Janet Likewise. So, 2 Raymond Well, there were traffic jams on the motorway and I got a little bit lost in the industrial park. Janet Don't worry. That happens to everyone. Anyway, 3 - I'll store it in my office. Raymond I'll hang on to it if you don't mind. It's got all my stuff in it. Janet Well, if you change your mind just tell me. And 4 Raymond Thanks. I'll have a cup of tea, please. Janet Sure, I'll just get that for you in a second. First of all, I'll run through the schedule. 5 start by meeting Karen Rankin this morning and then we'll 6 at lunchtime. Raymond OK. And will I see Malcolm Briscoe? Janet Yes, in fact he's joining us for lunch. One other thing. security pass. at all times. 7 It's your 8 wear it

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