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<oembed><version>1.0</version><provider_name>ISTE Group</provider_name><provider_url>https://www.istegroup.com/fr</provider_url><author_name>Marcio Marim</author_name><author_url>https://www.istegroup.com/fr/profile/marcio-marim/</author_url><title>Recommender Systems - ISTE Group</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Vz0yVIdLsw"&gt;&lt;a href="https://www.istegroup.com/fr/book/recommender-systems/"&gt;Recommender Systems&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.istegroup.com/fr/book/recommender-systems/embed/#?secret=Vz0yVIdLsw" width="600" height="338" title="&#xAB;&#xA0;Recommender Systems&#xA0;&#xBB; &#x2014; ISTE Group" data-secret="Vz0yVIdLsw" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><thumbnail_url>https://www.istegroup.com/wp-content/uploads/2018/01/doc_yggpflfhhxyz.jpg</thumbnail_url><thumbnail_width>988</thumbnail_width><thumbnail_height>1500</thumbnail_height><description>Elected by the different content platforms (books, music, films) and online sales sites, recommender systems are the key elements of digital strategies. If their development was originally aimed at the performance of information systems, the issues today have been moved to a great extent to optimization logic of the client relationship, with the main objective [&hellip;]</description></oembed>
