<?xml version="1.0" encoding="UTF-8" standalone="no"?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0"><channel><title>Recommender Applications</title><description></description><managingEditor>noreply@blogger.com (borogoves)</managingEditor><pubDate>Wed, 4 Sep 2024 16:32:08 -0700</pubDate><generator>Blogger http://www.blogger.com</generator><openSearch:totalResults xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">4</openSearch:totalResults><openSearch:startIndex xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">1</openSearch:startIndex><openSearch:itemsPerPage xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">25</openSearch:itemsPerPage><link>http://recommenderapps.blogspot.com/</link><language>en-us</language><itunes:explicit>no</itunes:explicit><copyright>copyright 2007 by Dave Hunkins</copyright><itunes:image href="http://www.zatchu.com/podcasts/davedhunk.jpg"/><itunes:keywords>recommender,applications,collaborative,filtering,netflix,itunes,amazon</itunes:keywords><itunes:summary>Pilot series on recommender applications: how they work, where they are used, problems solved during implementation and discussion of applications in social networking.</itunes:summary><itunes:subtitle>Pilot series on recommender applications: how they work, where they are used, problems solved during implementation and discussion of applications in social networking.</itunes:subtitle><itunes:category text="Technology"><itunes:category text="Tech News"/></itunes:category><itunes:author>Dave Hunkins</itunes:author><itunes:owner><itunes:email>dave@dhunk.com</itunes:email><itunes:name>Dave Hunkins</itunes:name></itunes:owner><item><title>Recommender Applications #4</title><link>http://recommenderapps.blogspot.com/2007/10/recommender-applications-4.html</link><category>amazon</category><category>genius</category><category>itunes</category><category>netflix prize</category><category>visa</category><pubDate>Thu, 25 Oct 2007 09:54:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-1388976854041923417.post-8281952225868617334</guid><description>Fourth of four podcasts in this series on recommender applications. Cross-domain recommendations, social networking applications, drivers for the growth of recommender applications, recommender niches. Netflix, iTunes, Amazon, 'Search Inside', Movielens, Flixster, MySpace, Visa, Facebook, F8 platform, Netflix Prize.&lt;br /&gt;&lt;a href="http://www.zatchu.com/podcasts/recommender4.mp3"&gt;Listen now.&lt;/a&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total><author>dave@dhunk.com (Dave Hunkins)</author></item><item><title>Recommender Applications #03</title><link>http://recommenderapps.blogspot.com/2007/10/recommender-applications-03.html</link><category>amazon</category><category>cnet</category><category>ilike</category><category>itunes genius</category><category>netflix prize</category><pubDate>Wed, 24 Oct 2007 13:32:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-1388976854041923417.post-2343627816949495703</guid><description>User value derived from and user perception of recommendations from recommender systems; quality metrics; role of content aggregators and media conglomerates in recommender ecosystem: Amazon, Netflix, iTunes, CNet, Consumer Reports, iLike, Flixster, MovieCritic, MovieLens. Questions from listeners on multi-tiered print recommenders like Zagat.&lt;br /&gt;&lt;a href="http://www.zatchu.com/podcasts/recommender3.mp3"&gt;Listen now.&lt;/a&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><author>dave@dhunk.com (Dave Hunkins)</author></item><item><title>Recommender Applications #02</title><link>http://recommenderapps.blogspot.com/2007/10/recommender-applications-02.html</link><category>amazon</category><category>google news</category><category>itunes</category><category>netflix prize</category><pubDate>Tue, 23 Oct 2007 15:37:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-1388976854041923417.post-3286835768901517899</guid><description>2nd in a series of 4 podcasts on Recommender applications; user data gathering, scaling, privacy and user data ownership issues; Google News, Amazon recommendations, product suggestions, Netflix, iTunes, Last.fm.&lt;br /&gt;&lt;a href="http://www.zatchu.com/podcasts/recommender2.mp3"&gt;Listen now.&lt;/a&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><author>dave@dhunk.com (Dave Hunkins)</author></item><item><title>Recommender Applications #01</title><link>http://recommenderapps.blogspot.com/2007/10/recommender-applications-01.html</link><category>amazon</category><category>itunes</category><category>netflix prize</category><pubDate>Tue, 23 Oct 2007 09:59:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-1388976854041923417.post-6627351208564635013</guid><description>Podcast: first in a series of four to introduce recommender applications: editorial recommenders, social recommenders, content filtering and collaborative filtering.&lt;br /&gt;&lt;a href="http://www.zatchu.com/podcasts/recommender1.mp3"&gt;Listen now.&lt;/a&gt;</description><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><author>dave@dhunk.com (Dave Hunkins)</author></item></channel></rss>