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Visualizing Relationships Based On User Preferences
posted by Editor on Monday March 22, @07:52PM
Search Interfaces 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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  • This discussion has been archived. No new comments can be posted.
    also excellent: musicplasma.com (Score:0)
    by Anonymous Coward on Sunday April 25, @01:53AM EST (#1)
    http://www.musicplasma.com/ has a more polished feel, and reacts similarly.
    Re:also excellent: musicplasma.com (Score:0)
    by Anonymous Coward on Tuesday April 27, @06:59AM EST (#2)
    "http://www.musicplasma.com/ has a more polished feel, and reacts similarly." ...and of course Amazon provides actually useful reccomendations, without the distracting nonsense of graphical displays ("is that a .002 relationship or a .003 relationship?"). Simple similarity or "proximity" isn't a tenth as useful to me as a reference to an author or book in an Amazon review.

    I'm not a robot like you. I don't like having disks crammed into me... unless they're Oreos, and then only in the mouth. -- Fry

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