{"id":21962,"date":"2023-04-04T15:05:13","date_gmt":"2023-04-04T13:05:13","guid":{"rendered":"https:\/\/www.l3s.de\/?page_id=21962"},"modified":"2024-02-12T18:29:11","modified_gmt":"2024-02-12T17:29:11","slug":"cruisewatch","status":"publish","type":"page","link":"https:\/\/www.l3s.de\/de\/research-at-l3s\/all-projects\/project-archive\/cruisewatch\/","title":{"rendered":"Entwicklung eines intelligenten Kreuzfahrt-Beratungstools"},"content":{"rendered":"
\r\n \r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n \"Logo\r\n
<\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n <\/div>\r\n
\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n \r\n
\r\n

Webseite:<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
www.cruisewatch.com<\/span><\/a>\r\n <\/span>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n <\/div>\r\n
\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n \r\n \r\n

Cruisewatch<\/h2>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n \r\n
\r\n

Entwicklung eines intelligenten Kreuzfahrt-Beratungstools<\/p>\r\n <\/div>\r\n <\/div>\r\n

\r\n \r\n <\/div>\r\n
\r\n \r\n \r\n
\r\n

Das Projekt konzentriert sich auf die Entwicklung neuer Anwendungen des maschinellen Lernens f\u00fcr den digitalen Kreuzfahrtberater Cruisewatch. Ein Unternehmen, das auf einer Webseite Kreuzfahrtreisen von verschiedenen Unternehmen anbietet. Cruisewatch unterh\u00e4lt eine riesige Datenbank mit (Meta-)Informationen \u00fcber kommende und vergangene Reisen. Dementsprechend erm\u00f6glicht sie die Anwendung von maschinellem Lernen in verschiedenen Richtungen. Zu den derzeit entwickelten Algorithmen geh\u00f6ren die Vorhersage von Reisepreisen, die Analyse des Kundenverhaltens und die Analyse von Kundenrezensionen, die f\u00fcr Reiseempfehlungen hilfreich sind.<\/p>\r\n <\/div>\r\n <\/div>\r\n

\r\n \r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n \r\n \r\n

Kontakt<\/h1>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n \r\n
\r\n \r\n \r\n \"\"\r\n
<\/div>\r\n <\/div>\r\n <\/a>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n
\r\n \r\n \r\n \r\n

Prof. Dr. Bodo Rosenhahn<\/h4>\r\n <\/a>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n \r\n
\r\n

Projektmanager<\/p>\r\n <\/div>\r\n <\/div>\r\n

\r\n \r\n
\r\n \r\n
\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n \r\n
<\/path><\/svg><\/span> rosenhahn@l3s.de<\/span><\/a>\r\n <\/span>\r\n <\/div>\r\n <\/div>\r\n
\r\n \r\n
<\/path><\/svg><\/span> +49 511 762-5316<\/span><\/a>\r\n <\/span>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"

Website: www.cruisewatch.com Cruisewatch Development of an intelligent cruise consulting tool The project concentrates on developing new applications of machine learning for the digital cruise advisor Cruisewatch. A company which offers cruise trips from various companies on a webpage. Cruisewatch maintains a huge database of (meta-)information about upcoming and historical trips. Accordingly, it allows to apply […]<\/p>","protected":false},"author":5,"featured_media":0,"parent":10129,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"_acf_changed":false,"footnotes":""},"categories":[75],"tags":[119,121],"class_list":["post-21962","page","type-page","status-publish","hentry","category-project-archive","tag-archive","tag-startups"],"acf":[],"aioseo_notices":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-17 21:56:10","action":"category","newStatus":"draft","terms":[75],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/21962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/comments?post=21962"}],"version-history":[{"count":1,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/21962\/revisions"}],"predecessor-version":[{"id":30322,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/21962\/revisions\/30322"}],"up":[{"embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/pages\/10129"}],"wp:attachment":[{"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/media?parent=21962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/categories?post=21962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.l3s.de\/de\/wp-json\/wp\/v2\/tags?post=21962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}