{"id":1346,"date":"2022-10-18T15:31:34","date_gmt":"2022-10-18T13:31:34","guid":{"rendered":"https:\/\/www.university-press.fau.de\/?post_type=product&#038;p=1346"},"modified":"2025-08-27T12:54:42","modified_gmt":"2025-08-27T10:54:42","slug":"978-3-944057-98-9","status":"publish","type":"product","link":"https:\/\/www.university-press.fau.de\/en\/product\/978-3-944057-98-9\/","title":{"rendered":"Assistenzsysteme f\u00fcr verteilte Veranstaltungen"},"content":{"rendered":"<p><span id=\"abstractFull_21558\" class=\"abstractFull\">Visitors of Distributed Events, such as the Long Night of Museums in Munich, are facing various challenges due to the huge amount of available events. This thesis presents concepts and solutions for developing an assistance system that supports these visitors. The system combines various methods and technologies from the field of artificial intelligence, especially recommender systems and information retrieval techniques, as well as planning algorithms for tours with time-constrained events. <\/span><\/p>\n<p><span id=\"abstractFull_21558\" class=\"abstractFull\">Content-based and collaborative recommender systems are connected with a novel knowledge-based recommender in order to suggest events that can be combined to a time-optimized tour but also match the user's interests. Additionally, the user is supported via a search engine that is customized for this application domain. Tour planning algorithms are used to determine an appropriate order of the selected events. In case of unexpected events the generated tours can be adapted in a smart manner on the go. <\/span><\/p>\n<p><span id=\"abstractFull_21558\" class=\"abstractFull\">Log data acquired in various field studies were evaluated via descriptive and inductive statistical methods. The results prove the utility and acceptance of the provided assistance.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Verteilte Veranstaltungen, wie z.B. die Lange Nacht der M\u00fcnchner Museen, stellen den Besucher aufgrund ihres umfangreichen Veranstal-tungsangebots vor vielf\u00e4ltige Herausforderungen. In dieser Arbeit werden Wege aufgezeigt, ein geeignetes Assistenzsystem hierf\u00fcr zu entwickeln. Dieses vereint verschiedene Methoden und Verfahren der K\u00fcnstlichen Intelligenz, insbesondere Empfehlungssysteme und Techniken des Information Retrievals sowie Algorithmen zur Tourplanung bei termin-abh\u00e4ngigen Veranstaltungen. [&hellip;]<\/p>\n","protected":false},"featured_media":1347,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[49],"product_tag":[],"class_list":{"0":"post-1346","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-fau-forschungen-reihe-b-medizin-naturwissenschaft-technik","7":"has-post-title","8":"has-post-date","9":"has-post-category","10":"has-post-tag","11":"has-post-comment","12":"has-post-author","13":"","15":"first","16":"instock","17":"taxable","18":"shipping-taxable","19":"purchasable","20":"product-type-simple"},"acf":{"autor":"Schaller, Richard","orcid":"","ror":"","herausgeber":"","orcid_hrsg":"","rorhrsg":"","bearbeiter":"","sonstige_beteiligte_personen":"","untertitel":"","zusatz":"","jahr":"2016","zeitschrift":"","serie":"","serie_name":"","serie_band":"","serie_jahr":"","serie_titel_band":"","vortrage":"","issn":"","isbn":"","isbn13":"978-3-944057-98-9","seiten":"iv, 288","sonstiges":"","band":12,"auflage":"","opus":"","dspace":"7899","e-isbn_pdf":"978-3-944057-99-6","doi":"","epub":"","e-isbn_epub":"","doi_epub":"","html":"","e-isbn_html":"","doi_html":"","e-isbn_reader":"","doi_reader":"","digibib":"","urn":"urn:nbn:de:bvb:29-opus4-78995","supplementary_material":"","sprache":["Deutsch"],"ausgabe":"Softcover","suche":" 9783944057989 9783944057996  ","lizenz":"BY-NC-ND-3","bemerkung":""},"builder_content":"","_links":{"self":[{"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/product\/1346","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/comments?post=1346"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/media\/1347"}],"wp:attachment":[{"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/media?parent=1346"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/product_brand?post=1346"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/product_cat?post=1346"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/www.university-press.fau.de\/en\/wp-json\/wp\/v2\/product_tag?post=1346"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}