MachineMachine /stream - tagged with context https://machinemachine.net/stream/feed en-us http://blogs.law.harvard.edu/tech/rss LifePress therourke@gmail.com <![CDATA[Information Wants to be Consumed]]> http://userwww.sfsu.edu/~rlrutsky/RR/Consumption.pdf

 Although information spreads, virus-like, through replication, this replication, as Walter Benjamin foresaw, involves a dispersion that allows images or data to be seen in different places, in different contexts (what Benjamin (1969) called “exhibition value”). It is, however, only through the process of consumption that this reproduction and dissemination of data can occur. Consumption, in short, is the means by which information, whether expensive or free, reproduces and spreads. Information, in fact, depends upon consumption for its very existence. Without being consumed, it ceases to be information in any practical sense, becoming merely a static and inaccessible knowledge, an eternal and unreachable verity. Information is, by definition, consumable. It is less the case, then, that “information wants to be free” than that “information wants to be consumed.”

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Wed, 03 Aug 2011 06:00:18 -0700 http://userwww.sfsu.edu/~rlrutsky/RR/Consumption.pdf
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Tue, 02 Aug 2011 03:21:00 -0700 http://tumblr.machinemachine.net/post/8380380071
<![CDATA[How Google’s Algorithm Rules the Web]]> http://www.wired.com/magazine/2010/02/ff_google_algorithm/all/1

The story of Google’s algorithm begins with PageRank, the system invented in 1997 by cofounder Larry Page while he was a grad student at Stanford. Page’s now legendary insight was to rate pages based on the number and importance of links that pointed to them — to use the collective intelligence of the Web itself to determine which sites were most relevant. It was a simple and powerful concept, and — as Google quickly became the most successful search engine on the Web — Page and cofounder Sergey Brin credited PageRank as their company’s fundamental innovation.

But that wasn’t the whole story. “People hold on to PageRank because it’s recognizable,” Manber says. “But there were many other things that improved the relevancy.” These involve the exploitation of certain signals, contextual clues that help the search engine rank the millions of possible results to any query, ensuring that the most useful ones float to the top.

Web search is a multipart process. First, Google crawls the Web

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Mon, 01 Mar 2010 03:56:00 -0800 http://www.wired.com/magazine/2010/02/ff_google_algorithm/all/1