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Whimsley: Netflix Prize: Was The Napoleon Dynamite Problem Solved?
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people aren't lists of numbers and don't watch movies as if they were
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Anchoring suggests that rating systems need to take account of inertia — a user who has recently given a lot of above-average ratings is likely to continue to do so.
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09 Aug 09
visualcomplexity.com | Netflix Visualization
As part of the Netflix Prize competition, chef-ele has created a computer algorithm that can show different clusters of movies within the Netflix database. Chef-ele has used the open-source graph visualization package GUESS for most of his visualizations.
05 Aug 09
Netflix Prize – The Ensemble interview @ Kempton’s Virtual Cafe « Kempton – ideas Revolutionary
02 Aug 09
Netflix Competitors Learn the Power of Teamwork - NYTimes.com
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These so-called recommendation engines are computing models that predict what a person might enjoy based on statistical scoring of that person’s stated preferences, past consumption patterns and similar choices made by many others — all made possible by the ease of data collection and tracking on the Web.
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The biggest lesson learned, according to members of the two top teams, was the power of collaboration
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Why the Netflix Prize is a Kind of a Big Deal
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according to a post on the Official Netflix Blog, over the past three years there have been 44,014 entries from 5,169 teams in 186 countries vying for the top prize.
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