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Інформація × Реєстраційний номер 2123U006676, Матеріали видань та локальних репозитаріїв Категорія Препринт Назва роботи Astrological mobile application customers clustering based on behavioral and demographic characteristics Автор Sliusarchuk Khrystyna Дата публікації 01-01-2023 Постачальник інформації Український католицький університет Першоджерело https://hdl.handle.net/20.500.14570/4821 Видання Опис Given the current competition in the mobile application market, a deep and clear understanding of the users, their goals and pains, is crucial. Based on the demo- graphic and behavioral characteristics of the users, the segmented user base helps the company to tailor its strategy to reach the right users with the right messages, prices, and products. This thesis explores and points out the virtues and vices of the most widespread unsupervised machine learning clustering algorithms including k-means, agglomerative clustering, and DBSCAN, in order to cluster the user base of the iOS and Android leading mobile application in the horoscope and astrology market. The clustering results for each of the algorithms are assessed and compared in terms of the Silhouette score. The results of the best-performing clustering al- gorithm are interpreted with individual business recommendations developed for each. Додано в НРАТ 2025-05-09 Закрити