<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-JB2132KK</identifier><date>2024</date><creator>Zhu, Kun</creator><relation>documents/doc/J/URN_NBN_SI_doc-JB2132KK_001.pdf</relation><relation>documents/doc/J/URN_NBN_SI_doc-JB2132KK_001.txt</relation><format format_type="issue">14</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 171-188</format><identifier identifier_type="DOI">10.31449/inf.v48i14.6030</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">221272323</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-JB2132KK</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">družbena omrežja</subject><subject language_type_id="slv">kolonija mravelj</subject><subject language_type_id="slv">optimizacija</subject><subject language_type_id="slv">roj delcev</subject><subject language_type_id="slv">rudarjenje podatkov</subject><subject language_type_id="slv">turistične poti</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Travel path recommendation algorithm based on hybrid particle swarm and ant colony for social media shared data mining</title></Record>