Sebastian Wain: Take, for instance, the way Google's engine learns which words are synonyms. "We discovered a nifty thing very early on," Singhal says. "People change words in their queries. So someone would say, 'pictures of dogs,' and then they'd say, 'pictures of puppies.' So that told us that maybe 'dogs' and 'puppies' were interchangeable. We also learned that when you boil water, it's hot water. We were relearning semantics from humans, and that was a great advance."Fwd: Not your father's PageRank - http://kottke.org/10/02/not-your-fathers-pagerank (via http://ff.im/gHCI7)
Updated: 2010-02-28 16:43:16

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It’s now nearly one year that I manage a project about targeted advertising for a Telco company in Switzerland. The particularity of our approach is the fusion of offline (CRM) and online (web) customer profiles. We build these extended customer profiles (ECP) on a shifting time window. These ECP are then mined to predict some [...]
We all know that our credit reports are used to determine our future credit risk. Last year it emerged that American Express was using the shops where we make purchases to deny credit to customers. Now a new company is data-mining our friends on social networking sites to determine credit risk.
Yes, really! You Facebook-friended that loser [...]