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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Explainable Recommendation: A Survey and New Perspectives · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1804.11192/</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/1804.11192/feed.xml" rel="self" type="application/rss+xml" /><item><title>Explainable Recommendation: A Survey and New Perspectives — mentioned by ___luigi</title><link>https://news.ycombinator.com/item?id=28525557</link><guid isPermaLink="false">urn:hackerpapers:mention:1804.11192:28525557</guid><pubDate>Tue, 14 Sep 2021 14:41:39 GMT</pubDate><description>&lt;p&gt;&amp;gt; .. I still believe that ranking/recommendation models should be open. Today, we don&amp;#x27;t know how social media recommend posts to us, we don&amp;#x27;t know if it is biased, or good for some sub communities. There are [1] some engineering blogs where we can see that is based on some research ideas (e.g. embeddings) are prune to bias [3] and &amp;quot;rich gets richer&amp;quot; phenomena. There should be an open marketplace where institutes/researchers submit open &amp;amp; explainable ranking/recommender systems. This is how you democratize access to such social platforms, but the business model opposes such idea to make it…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1804.11192/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IR</category></item></channel></rss>
