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Judging books by their covers: predicting success through visual analysis of book covers on goodreads: predicting genre-specific book popularity through cover and review sentiments
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 10.58 MB | Adobe PDF | |||
| 10.58 MB | Adobe PDF |
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Resumo(s)
Using 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.
Descrição
Palavras-chave
Book cover design Visual analytics Machine learning Audience targeting