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Corinna Sherman

A special report on managing information: Clicking for gold | The Economist - 2 views

  • Across the internet economy, companies are compiling masses of data on people, their activities, their likes and dislikes, their relationships with others and even where they are at any particular moment—and keeping mum.
  • “They are uncomfortable bringing so much attention to this because it is at the heart of their competitive advantage,” says Tim O’Reilly, a technology insider and publisher. “Data are the coin of the realm. They have a big lead over other companies that do not ‘get’ this.”
  • Amazon and Netflix, a site that offers films for hire, use a statistical technique called collaborative filtering to make recommendations to users based on what other users like. The technique they came up with has produced millions of dollars of additional sales. Nearly two-thirds of the film selections by Netflix’s customer come from the referrals made by computer. EBay, which at first sight looks like nothing more than a neutral platform for commercial exchanges, makes myriad adjustments based on information culled from listing activity, bidding behaviour, pricing trends, search terms and the length of time users look at a page. Every product category is treated as a micro-economy that is actively managed. Lots of searches but few sales for an expensive item may signal unmet demand, so eBay will find a partner to offer sellers insurance to increase listings. The company that gets the most out of its data is Google. Creating new economic value from unthinkably large amounts of information is its lifeblood. That helps explain why, on inspection, the market capitalisation of the 11-year-old firm, of around $170 billion, is not so outlandish. Google exploits information that is a by-product of user interactions, or data exhaust, which is automatically recycled to improve the service or create an entirely new product.
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  • The design of the feedback loop is critical. Google asks users for their opinions, but not much else. A translation start-up in Germany called Linguee is trying something different: it presents users with snippets of possible translations and asks them to click on the best. That provides feedback on which version is the most accurate.
  • Re-using data represents a new model for how computing is done, says Edward Felten of Princeton University. “Looking at large data sets and making inferences about what goes together is advancing more rapidly than expected. ‘Understanding’ turns out to be overrated, and statistical analysis goes a lot of the way.”
  • Recycling data exhaust is a common theme in the myriad projects going on in Google’s empire and helps explain why almost all of them are labelled as a “beta” or early test version: they truly are in continuous development.
  • Google does not need to own the data. Usually all it wants is to have access to them (and see that its rivals do not). In an initiative called “Data Liberation Front” that quietly began last September, Google is planning to rejig all its services so that users can discontinue them very easily and take their data with them. In an industry built on locking in the customer, the company says it wants to reduce the “barriers to exit”. That should help save its engineers from complacency, the curse of many a tech champion.
Corinna Sherman

Mixx - Latest news and top videos and photos from around the web - 1 views

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    Users can vote to recommend stories, and popular items are featured. Comment threads are also supported.
Chelsey Delaney

Twitter Users React to Google Buzz [STATS] - 1 views

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    Google Buzz sentiments--
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    Stats and pretty pie chart. Only 30% could be considered positive sentiments about Google Buzz.
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