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BetterReads.html
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<html>
<head>
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<title>Better Reads</title>
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<h1><a href="https://clarencestephen.github.io/">Clarence Stephen</a></h1>
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<h2><a>Better Reads</a></h2>
<p>Improving on Book Recommendation Systems</p>
<img src="images/betterreads/betterreads.png" alt="" style ="width:75%" />
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<div class="meta">
<time class="published" datetime="2018-09-28">September 28, 2018</time>
<a href="about.html" class="author"><span class="name">Clarence Stephen</span><img src="images/avatar.jpg"
alt="" /></a>
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<p><i>
A 4 minute presentation on my book recommendation system, built using data extracted from 26m Amazon book reviews and 6m Goodreads reviews. Used collaborative filtering via implicit ALS algorithm to build ensemble of 5 models on user:user, user:item, and item:item vectors. (AWS, Big Data, MongoDB, PySpark, PyTorch, Spotlight, Implicit, Cython, OpenMP)
</i></p>
<p> 4min video presentation & slides embedded below <i>(please be patient while the video loads)</i>:</p>
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<br>
<embed src="https://drive.google.com/viewerng/viewer?embedded=true&url=http://www.cognosis.solutions/projects/BetterReads.pdf" width="800" height="600"></p>
<p> If you enjoyed this presentation, you can see all 21 presentations from Metis career day NYC here:
<li><a href="https://www.dropbox.com/s/30bspmd66w8gnm0/Livestream%20Career%20Day%20-%20NYC%20%280920%29%20on%20Livestream.mp4?dl=0">Dropbox link</a></li>
<li><a href="https://livestream.com/metis/events/8360820">Livestream link</a></li></p>
<p>And if you'd like to dig deeper into the code:</p>
<p><a href ="https://github.com/clarencestephen/Better-Reads" style = "color:blue">Better Reads - GitHub Repository</a></p>
<p>Coming soon: #GME #EA #RegressionModeling</p>
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