<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>datapop on DataScience.LA</title><link>https://datasciencela.github.io/tag/datapop/</link><description>Recent content in datapop on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Mon, 26 Jan 2015 11:46:33 -0800</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/datapop/index.xml" rel="self" type="application/rss+xml"/><item><title>DataScience LA Meetup Summary: Data Science @ DataPop</title><link>https://datasciencela.github.io/datascience-la-meetup-summary-data-science-datapop/</link><pubDate>Mon, 26 Jan 2015 10:41:08 -0800</pubDate><guid>https://datasciencela.github.io/datascience-la-meetup-summary-data-science-datapop/</guid><description>&lt;figure class="sd-embed"&gt;&#10; &lt;div class="sd-frame" style="aspect-ratio: 710/532"&gt;&#10; &lt;iframe src="https://speakerdeck.com/player/2cbc228082f80132b1b262fb4005ffd2" title="Ben Zamanzadeh - Data Science @ Datapop - LA Data Science meetup - January 2015" loading="lazy" allowfullscreen&gt;&lt;/iframe&gt;&#10; &lt;/div&gt;&#10; &lt;figcaption&gt;&lt;a href="https://speakerdeck.com/datasciencela/ben-zamanzadeh-data-science-at-datapop-la-data-science-meetup-january-2015"&gt;Ben Zamanzadeh - Data Science @ Datapop - LA Data Science meetup - January 2015&lt;/a&gt; · Speaker Deck&lt;/figcaption&gt;&#10;&lt;/figure&gt;&#10;&#10;&lt;p&gt;On January 13th, DataScience.LA held its first Data Science meetup of 2015, hosting a speaker from a local semantic advertising startup, DataPop. Their CTO, Dr. Ben Zamanzadeh, gave an in-depth presentation (linked above) of his perspective on e-commerce and advertising, which focused on extracting semantic meaning and DataPop’s marketing knowledge graph. He began his talk by discussing the evolution of e-commerce and moved quickly to semantics, making some very strong statements regarding DataPop’s architectural choices. For example, even though they provide a semantic graph, they are based on Redshift and do not use graph databases - which was quite the surprise to us here at DataScience.LA! At one point, Dr. Zamanzadeh even commented,&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/datascience-la-meetup-summary-data-science-datapop/feature.png"/></item></channel></rss>