<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:burst="http://xmlns.com/burst/0.1/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns="http://purl.org/rss/1.0/" xmlns:admin="http://webns.net/mvcb/" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:cc="http://web.resource.org/cc/"><channel rdf:about="http://www.bibsonomy.org/tag/movies"><title>BibSonomy publications for /tag/movies</title><link>BibSonomypublrss/tag/movies</link><description>BibSonomy RSS feed for /tag/movies</description><dc:date>2012-02-15T10:34:24+01:00</dc:date><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2ab3d24359d12a5e1f3604adf8ef7ec9c/mschuber"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2d33ed224ea545a5ae80e2bab2ca41973/lefteris8"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2eede96b3765df0c02ac0fa38951aac1b/kurtjx"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/2ab3d24359d12a5e1f3604adf8ef7ec9c/mschuber"><title>Leveraging aggregate ratings for improving predictive performance of recommender systems</title><link>http://www.bibsonomy.org/bibtex/2ab3d24359d12a5e1f3604adf8ef7ec9c/mschuber</link><dc:creator>mschuber</dc:creator><dc:date>2009-07-21T10:00:28+02:00</dc:date><dc:subject>RecSys doctoral-symposium movies prediction ratings </dc:subject><content:encoded>&lt;span class=&#034;authorEditorList&#034;&gt;&lt;a href=&#034;/author/Umyarov&#034;&gt;Akhmed Umyarov&lt;/a&gt; &lt;/span&gt;&lt;em&gt;RecSys &amp;#039;08: Proceedings of the 2008 ACM conference on Recommender systems, &lt;/em&gt;&lt;em&gt;page 327--330. &lt;/em&gt;&lt;em&gt;New York, NY, USA, &lt;/em&gt;&lt;em&gt;ACM, &lt;/em&gt;(&lt;em&gt;2008&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/RecSys"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/doctoral-symposium"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/movies"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/prediction"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/ratings"/></rdf:Bag></taxo:topics><description>Leveraging aggregate ratings for improving predictive performance of recommender systems</description></item><item rdf:about="http://www.bibsonomy.org/bibtex/2d33ed224ea545a5ae80e2bab2ca41973/lefteris8"><title>A hybrid approach for movie recommendation</title><link>http://www.bibsonomy.org/bibtex/2d33ed224ea545a5ae80e2bab2ca41973/lefteris8</link><dc:creator>lefteris8</dc:creator><dc:date>2009-06-22T17:28:38+02:00</dc:date><dc:subject>hybrid_systems movies recommender_systems </dc:subject><content:encoded>&lt;span class=&#034;authorEditorList&#034;&gt;&lt;a href=&#034;/author/Lekakos&#034;&gt;George Lekakos&lt;/a&gt;,  and &lt;a href=&#034;/author/Caravelas&#034;&gt;Petros Caravelas&lt;/a&gt; &lt;/span&gt;&lt;em&gt;Multimedia Tools Appl.&lt;/em&gt; &lt;em&gt;36(1-2):55--70&lt;/em&gt; (&lt;em&gt;2008&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hybrid_systems"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/movies"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/recommender_systems"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2eede96b3765df0c02ac0fa38951aac1b/kurtjx"><title>RoleNet: Movie Analysis from the Perspective of Social Networks</title><link>http://www.bibsonomy.org/bibtex/2eede96b3765df0c02ac0fa38951aac1b/kurtjx</link><dc:creator>kurtjx</dc:creator><dc:date>2009-01-26T18:01:54+01:00</dc:date><dc:subject>movies social social_network </dc:subject><content:encoded>&lt;span class=&#034;authorEditorList&#034;&gt;&lt;a href=&#034;/author/Weng&#034;&gt;C.-Y. Weng&lt;/a&gt;, &lt;a href=&#034;/author/Chu&#034;&gt;W.-T. Chu&lt;/a&gt;,  and &lt;a href=&#034;/author/Wu&#034;&gt;J.-L. Wu&lt;/a&gt; &lt;/span&gt;&lt;em&gt;Multimedia, IEEE Transactions on&lt;/em&gt; &lt;em&gt;11(2):256-271&lt;/em&gt; (&lt;em&gt;February 2009&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/movies"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/social"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/social_network"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk"><title>Folksonomies, the Semantic Web, and Movie Recommendation</title><link>http://www.bibsonomy.org/bibtex/2e4cc0d7b14b091f64d1377fb8625f92e/cschenk</link><dc:creator>cschenk</dc:creator><dc:date>2008-06-08T12:59:40+02:00</dc:date><dc:subject>collaborative filtering folksonomies imdb kind-of-tags movies netflix paper read:2008 recommendation semantic tagora tags web web2.0 </dc:subject><content:encoded>&lt;span class=&#034;authorEditorList&#034;&gt;&lt;a href=&#034;/author/Szomszor&#034;&gt;Martin Szomszor&lt;/a&gt;, &lt;a href=&#034;/author/Cattuto&#034;&gt;Ciro Cattuto&lt;/a&gt;, &lt;a href=&#034;/author/Alani&#034;&gt;Harith Alani&lt;/a&gt;, &lt;a href=&#034;/author/O&amp;#039;Hara&#034;&gt;Kieron O&amp;#039;Hara&lt;/a&gt;, &lt;a href=&#034;/author/Baldassarri&#034;&gt;Andrea Baldassarri&lt;/a&gt;, &lt;a href=&#034;/author/Loreto&#034;&gt;Vittorio Loreto&lt;/a&gt;,  and &lt;a href=&#034;/author/Servedio&#034;&gt;Vito D.P. Servedio&lt;/a&gt; &lt;/span&gt;&lt;em&gt;4th European Semantic Web Conference, Bridging the Gap between Semantic Web and Web 2.0, &lt;/em&gt;(&lt;em&gt;2007&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/collaborative"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/filtering"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/folksonomies"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/imdb"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kind-of-tags"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/movies"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/netflix"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/paper"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/read:2008"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/recommendation"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/semantic"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tagora"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tags"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/web"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/web2.0"/></rdf:Bag></taxo:topics><description>Has an overview of the usage of tags.</description></item></rdf:RDF>
