Music on YouTube: User engagement with traditional, user-appropriated and derivative videos

LA Liikkanen, A Salovaara - Computers in human behavior, 2015 - Elsevier
YouTube is the leading Internet video service and one of the most popular websites in 2014.
Music videos hold top positions in different YouTube charts, but the music video types or …

Dynamic attention-integrated neural network for session-based news recommendation

L Zhang, P Liu, JA Gulla - Machine Learning, 2019 - Springer
Online news recommendation aims to continuously select a pool of candidate articles that
meet the temporal dynamics of user preferences. Most of the existing methods assume that …

A deep joint network for session-based news recommendations with contextual augmentation

L Zhang, P Liu, JA Gulla - Proceedings of the 29th on Hypertext and …, 2018 - dl.acm.org
Session-based recommendations have drawn more and more attention in many
recommendation settings of modern online services. Unlike many other domains such as …

The power of nostalgia: Age and preference for popular music

C Davies, B Page, C Driesener, Z Anesbury, S Yang… - Marketing Letters, 2022 - Springer
Marketers need evidence to help them select music to promote their products. Ethnicity,
social class and/or personality type can distinguish individual music tastes, but age and …

Shuffling services: Current trends in interacting with digital music

LA Liikkanen, P Åman - Interacting with Computers, 2016 - academic.oup.com
In this study, we wanted to discover the most prominent technologies in listening to digital
music and the reasons underlying the popular choices. We asked Finnish students what are …

[PDF][PDF] The music listening histories dataset.

G Vigliensoni, I Fu**aga - ISMIR, 2017 - simssa.ca
ABSTRACT We introduce the Music Listening Histories Dataset (MLHD), a large-scale
collection of music listening events assembled from more than 27 billion time-stamped logs …

[PDF][PDF] Understanding Users of Commercial Music Services through Personas: Design Implications.

JH Lee, R Price - ISMIR, 2015 - gamer.ischool.uw.edu
Most of the previous literature on music users' needs, habits, and interactions with music
information retrieval (MIR) systems focuses on investigating user groups of particular …

The needfinding machine

N Martelaro, W Ju - Proceedings of the Companion of the 2017 ACM …, 2017 - dl.acm.org
Robotics and automation technologies have begun to extend ubiquitous computing to
include interactive objects with physical and social agency. My thesis, the Needfinding …

TagFlip: active mobile music discovery with social tags

M Kamalzadeh, C Kralj, T Möller… - Proceedings of the 21st …, 2016 - dl.acm.org
We report on the design and evaluation of TagFlip, a novel interface for active music
discovery based on social tags of music. The tool, which was built for phone-sized screens …

'Tis the season: Music-playlist preferences for the seasons.

AE Krause, AC North - Psychology of Aesthetics, Creativity, and the …, 2018 - psycnet.apa.org
Previous research on contextual correlates of musical taste have considered microlevel
influences extensively, but they have yet to consider macrolevel factors, such as time of year …