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			<h1>Dinosaur Planet</h1>
			<h2>Netflix Prize Team</h2>
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			<h4>Team Dinosaur Planet</h4>
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				<img src="images/dp_logo.jpg" class="left" alt="DP logo" />
				<span>David Lin (Mathematics)</span>
				<br/><span>Lester Mackey (Computer Science)</span>
				<br/><span>David Weiss (Computer Science)</span>

				<p><span> </span></p>
				<p> The Netflix Prize was a $1 million competition to most accurately predict the ratings that people give to the movies they watch.
				The three of us began working on the Prize in 2006 as undergraduates at Princeton University.  
				In the years since, we helped form the collaborative teams When Gravity and Dinosaurs Unite,
				Grand Prize Team, and <a href="https://web.archive.org/web/20141227110702/http://www.the-ensemble.com/">The Ensemble</a>.

				The contest came to a <a href="https://web.archive.org/web/20141227110702/http://www.the-ensemble.com/content/final-submission-countdown">thrilling conclusion</a> in July of 2009 with The Ensemble placing first on the Quiz Set and second on the Test Set.
				You can view the results of the competition on the <a href = "https://web.archive.org/web/20200101104754/https://www.netflixprize.com/leaderboard.html">Netflix Prize Leaderboard</a>.
				<p><span>Contact us at &lt;<span>teamdinosaurplanet</span> <span>At</span> <span>gmail</span> <span>DoT</span> com&gt;.</span></p>
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				<h4>Final Quiz Set Leaderboard</h4><br/><br/>
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				<h4>Final Test Set Leaderboard</h4><br/><br/>
				<img class="noborder" src="images/netflix_leaderboard_test.png" width="70%" height="70%" alt="Netflix Test Set Leaderboard" />
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				<h4>DP in the news</h4>

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						<li><a href="https://www.thrillist.com/entertainment/nation/the-netflix-prize">The Netflix Prize: How a $1 Million Contest Changed Binge-Watching Forever</a>, Thrillist, 7/7/2017</li>
						<li><a href="http://www.work.caltech.edu/paper/sciam2012.pdf">Machines that Think for Themselves</a>, Scientific American, 6/19/2012</li>
						<li><a href="http://calteches.library.caltech.edu/4333/1/Netflix.pdf">Recommend a Movie, Win a Million Bucks</a>, Joseph Sill, Spring 2010</li>
						<li><a href="https://web.archive.org/web/20101204214936/http://www.research.att.com/articles/featured_stories/2010_01/2010_02_netflix_article.html">Statistics Can Find You a Movie</a>, AT&T Labs Research, 2/16/2010</li>
						<li><a href="http://www.nytimes.com/2009/07/28/technology/internet/28netflix.html">Netflix Competitors Learn the Power of Teamwork</a>, New York Times, 7/28/2009</li>
						<li><a href="https://web.archive.org/web/20100609225146/https://sciencereview.berkeley.edu/articles.php?issue=14&article=briefs_2">Movies You'll Love</a>, Berkeley Science Review, 5/7/2008</li>
						<li><a href="http://www.princeton.edu/~paw/archive_new/PAW07-08/07-0123/notebook.html#Notebook10">Underdogs in $1 million challenge</a>, Princeton Alumni Weekly, 1/23/2008</li>
						<li><a href="https://www.hollywoodreporter.com/business/business-news/emerging-recommendation-technology-helps-pick-155713/">Emerging recommendation technology helps pick shows</a>, Hollywood Reporter, 11/26/2007</li>
						<li><a href="https://web.archive.org/web/20100207225921/http://tech.groups.yahoo.com/group/theory-edge/message/13153">Interview</a>, Theory-edge, 9/16/2007 </li>
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