<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-BJXAXUR2</identifier><date>2024</date><creator>Li, Yanping</creator><relation>documents/doc/B/URN_NBN_SI_doc-BJXAXUR2_001.pdf</relation><relation>documents/doc/B/URN_NBN_SI_doc-BJXAXUR2_001.txt</relation><format format_type="issue">10</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 133-151</format><identifier identifier_type="DOI">10.31449/inf.v48i10.5790</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">217087491</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-BJXAXUR2</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">genetski algoritmi</subject><subject language_type_id="slv">načrtovanje poti</subject><subject language_type_id="slv">priporočilni sistemi</subject><subject language_type_id="eng">RippleNet</subject><subject language_type_id="slv">turizem</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Digital tourism recommendation and route planning model design based on RippleNet and Improved GA</title></Record>