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<oembed><version>1.0</version><provider_name>Salzburg Research Forschungsgesellschaft</provider_name><provider_url>https://www.salzburgresearch.at/en/</provider_url><author_name>Birgit Strohmeier</author_name><author_url>https://www.salzburgresearch.at/en/author/birgit/</author_url><title>Designing Recommender Systems for Tourism. - Salzburg Research Forschungsgesellschaft</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="gbn5nrJPbo"&gt;&lt;a href="https://www.salzburgresearch.at/en/publikation/designing-recommender-systems-for-tourism/"&gt;Designing Recommender Systems for Tourism.&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.salzburgresearch.at/en/publikation/designing-recommender-systems-for-tourism/embed/#?secret=gbn5nrJPbo" width="600" height="338" title="&#x201C;Designing Recommender Systems for Tourism.&#x201D; &#x2014; Salzburg Research Forschungsgesellschaft" data-secret="gbn5nrJPbo" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>In this paper, we argue that the process of developing travel recommender systems (TRS) can be simplified. By studying the application domain of tourism information systems, and examining the algorithms and architectures available for recommender systems today, we discuss the dependencies and present a methodology for developing TRS, which can be applied at very early stages of TRS development. The methodology aims to be insightful without overburdening the project team with the mathematical basis and technical detail of the state of the art in recommender systems and give guidance on design choices to the project team.</description></oembed>
