Produção Nacional
Revisado por pares
Mixtape
2017; Association for Computing Machinery; Volume: 13; Issue: 4 Linguagem: Inglês
10.1145/3105969
ISSN1551-6865
AutoresLuciana Fujii Pontello, Pedro H. F. Holanda, Bruno Guilherme, João Paulo V. Cardoso, Olga Goussevskaia, Ana Paula Couto da Silva,
Tópico(s)Advanced Image and Video Retrieval Techniques
ResumoIn this work, we explore the increasing demand for novel user interfaces to navigate large media collections. We implement a geometric data structure to store and retrieve item-to-item similarity information and propose a novel navigation framework that uses vector operations and real-time user feedback to direct the outcome. The framework is scalable to large media collections and is suitable for computationally constrained devices. In particular, we implement this framework in the domain of music. To evaluate the effectiveness of the navigation process, we propose an automatic evaluation framework, based on synthetic user profiles, which allows us to quickly simulate and compare navigation paths using different algorithms and datasets. Moreover, we perform a real user study. To do that, we developed and launched Mixtape , a simple web application that allows users to create playlists by providing real-time feedback through liking and skipping patterns.
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