Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/181478
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Campo DCValorIdioma
dc.contributor.advisorBatikas, Michail-
dc.contributor.authorMünchau, Robert Helmut-
dc.date.accessioned2025-03-27T16:27:44Z-
dc.date.available2025-03-27T16:27:44Z-
dc.date.issued2025-01-15-
dc.date.submitted2025-01-15-
dc.identifier.urihttp://hdl.handle.net/10362/181478-
dc.description.abstractUsing state-of-the-art computer vision algorithms, our research analyzes Goodreads book covers to assess how visual elements influence book popularity across genres, countries, and genders. It provides publishers with targeted cover design recommendations in an increasingly competitive, digital book market. Our research found that book covers significantly influence reader behavior and a book’s popularity. Four analyses revealed that book cover typography signals genres and attracts audiences, gender norms and stereotypes impact cover design and market success, yellow covers in Italian crime novels enhance cultural appeal publishers can leverage, and combining engaging cover designs with impactful reviews further elevates a book’s popularity.pt_PT
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.rightsopenAccesspt_PT
dc.subjectVisual analyticspt_PT
dc.subjectMachine Learningpt_PT
dc.subjectBook cover designpt_PT
dc.subjectAudience Targetingpt_PT
dc.titleGialli book covers and their impact on the popularity of Italian crime and thriller novelspt_PT
dc.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economicspt_PT
dc.identifier.tid203927729pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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