<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Wide &amp; Deep Learning for Recommender Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.07792/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1606.07792/feed.xml" rel="self" type="application/rss+xml" /><item><title>Wide &amp; Deep Learning for Recommender Systems — mentioned by max_</title><link>https://news.ycombinator.com/item?id=13327085</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.07792:13327085</guid><pubDate>Thu, 05 Jan 2017 13:57:18 GMT</pubDate><description>&lt;p&gt;The architecture is called a wide and deep net Wide &amp;amp; Deep Learning for Recommender Systems https://arxiv.org/abs/1606.07792&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.07792/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Wide &amp; Deep Learning for Recommender Systems — mentioned by aab0</title><link>https://news.ycombinator.com/item?id=12068518</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.07792:12068518</guid><pubDate>Mon, 11 Jul 2016 02:33:30 GMT</pubDate><description>&lt;p&gt;&amp;quot;I would really love to see an analysis that did an A/B test using more traditional CF and this, and see what the revenue lift was, because &amp;quot;accuracy&amp;quot; as measured here doesn&amp;#x27;t necessarily map onto the objective that you care about in the real world.&amp;quot; For another approach to product recommendation with some lift info, try https://research.googleblog.com/2016/06/wide-deep-learning-b... http://arxiv.org/abs/1606.07792&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.07792/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
