An algorithm for music recommendation based on the user's musical preferences and desired emotions. - Willian Garcias de Assunção; Vânia Paula de Almeida Néris (MUM, 2018)

m-Motion: a mobile application for music recommendation that considers the desired emotion of the user. - Willian Garcias de Assunção; Vânia Paula de Almeida Néris (IHC, 2019)

UX trek: a post-interaction journey from immersive experience logs. - Leonardo C. Marques; Mauro Amazonas; Thais Castro; Willian Assunção; Luciana A. M. Zaina; Bruno Gadelha; Tayana Conte (IHC, 2020)

Evaluating user experience in music discovery on deezer and spotify. - Willian Garcias de Assunção; Luciana Aparecida Martinez Zaina (IHC, 2022)

Considering emotions and contextual factors in music recommendation: a systematic literature review. - Willian Assunção; Lara S. G. Piccolo; Luciana A. M. Zaina (Multim. Tools Appl., 2022)

Managing Cold-Start Issues in Music Recommendation Systems: An Approach Based on User Experience. - Willian Garcias de Assunção; Raquel Oliveira Prates; Luciana Aparecida Martinez Zaina (EICS (Companion), 2023)

From User Context to Tailored Playlists: A User Centered Approach to Improve Music Recommendation System. - Willian Garcias de Assunção; Raquel Oliveira Prates; Luciana Aparecida Martinez Zaina (IHC, 2023)