<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-YCGEL98X</identifier><date>2013</date><creator>Ghazanfar, Mustansar Ali</creator><creator>Prugel-Bennet, Adam</creator><relation>documents/doc/Y/URN_NBN_SI_doc-YCGEL98X_001.pdf</relation><relation>documents/doc/Y/URN_NBN_SI_doc-YCGEL98X_001.txt</relation><format format_type="issue">1</format><format format_type="volume">37</format><format format_type="type">article</format><format format_type="extent">str. 61-92</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="COBISSID">26714663</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-YCGEL98X</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>InC</rights><subject language_type_id="slv">filtriranje informacij</subject><subject language_type_id="slv">informatika</subject><subject language_type_id="eng">information science</subject><subject language_type_id="slv">priporočilni sistemi</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>generating improved SVD-based recommendations</title><title>The advantage of careful imputation sources in sparse data-environment of recommender systems</title></Record>