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| Visualizing Relationships Based On User Preferences |
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posted by Editor on Monday March 22, @07:52PM
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This article in MIT Technology Review reviews graphical search interfaces that visualize relationships between content based on user preferences. Gnooks uses this technique to show how readers position book authors. Users enter an author's name, which produces a network graph of related authors. The closer another writer is to the user's choice, the more likely the system thinks that user will also enjoy the other author’s work. Gnooks uses data from the Gnod site, which allows visitors to enter an author, musical artist or movie, after which they are presented with a list of alternatives, each of which they can register a preference for. This information is used to build relationships (i.e. "if 90 percent of the readers of Douglas Hofstadter also like Stephen Hawking, the distance between these two writers in the Hofstadter-Hawking dimension is 0.1,") which can be visualized and graphically browsed.
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