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Published on: 7/2/2003
Last Visited: 7/2/2003
If you're interested in a bit of detail on how the tech works, RuleSpace's Chris Robison used the phrase "proximity mapping" - word-pattern recognition based on words' locations relative to each other - in describing to us how the technology recognizes words in context.It "learns" how to recognize these patterns by being fed "very large samples of representative content - for example, porn," Chris said.After being given a lot of these samples the technology starts to "boil them down" to a "category model" that has unique features and patterns the technology can instantly identify.The tech also uses a sample of "what we call 'anti-content' - things that are absolutely not porn, for example, 'chicken breasts'," he added.