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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/jaeschke/ecmlpkdd"><title>BibSonomy bookmarks for /user/jaeschke/ecmlpkdd</title><link>https://www.bibsonomy.org/user/jaeschke/ecmlpkdd</link><description>BibSonomy RSS Feed for /user/jaeschke/ecmlpkdd</description><items><rdf:Seq><rdf:li rdf:resource="http://www.kde.cs.uni-kassel.de/ws/dc13/"/><rdf:li rdf:resource="http://videolectures.net/ecmlpkdd09_jones_pwsqlm/"/><rdf:li rdf:resource="http://www.ecmlpkdd2009.net/"/></rdf:Seq></items></channel><item rdf:about="http://www.kde.cs.uni-kassel.de/ws/dc13/"><title>15th Discovery Challenge | organized in conjunction with ECML PKDD 2013</title><description></description><link>http://www.kde.cs.uni-kassel.de/ws/dc13/</link><dc:creator>jaeschke</dc:creator><dc:date>2013-02-27T19:29:12+01:00</dc:date><dc:subject>2013 challenge dc13 discovery ecmlpkdd myown recommender </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2013-02-27T19:29:12+01:00&#034; href=&#034;http://www.kde.cs.uni-kassel.de/ws/dc13/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.kde.cs.uni-kassel.de/ws/dc13/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2013"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/challenge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dc13"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/discovery"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ecmlpkdd"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/myown"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recommender"/></rdf:Bag></taxo:topics></item><item rdf:about="http://videolectures.net/ecmlpkdd09_jones_pwsqlm/"><title>Privacy in Web Search Query Log Mining</title><description>Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.</description><link>http://videolectures.net/ecmlpkdd09_jones_pwsqlm/</link><dc:creator>jaeschke</dc:creator><dc:date>2009-11-06T14:09:39+01:00</dc:date><dc:subject>2009 data ecmlpkdd log mining privacy search talk video web </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. 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