Current challenges and visions in music recommender systems research
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …
the emergence and success of online streaming services, which nowadays make available …
Content-driven music recommendation: Evolution, state of the art, and challenges
The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …
technology. In contrast to most other recommendation domains, which predominantly rely on …
Building human values into recommender systems: An interdisciplinary synthesis
J Stray, A Halevy, P Assar, D Hadfield-Menell… - ACM Transactions on …, 2024 - dl.acm.org
Recommender systems are the algorithms which select, filter, and personalize content
across many of the world's largest platforms and apps. As such, their positive and negative …
across many of the world's largest platforms and apps. As such, their positive and negative …
A novel deep neural-based music recommendation method considering user and song data
This Natural language processing, Computer vision, and speech recognition are among the
fields in which deep learning outperforms prior approaches. The majority of deep learning …
fields in which deep learning outperforms prior approaches. The majority of deep learning …
Music recommendation systems: Techniques, use cases, and challenges
This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …
characteristics of the music domain. We take a user-centric perspective, by organizing our …
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …
systems, both in industry and research. These approaches recommend to the target user …
A survey of adaptive context-aware learning environments
Adaptive context-aware learning environments (ACALEs) can detect the learner's context
and adapt learning materials to match the context. The support for context-awareness and …
and adapt learning materials to match the context. The support for context-awareness and …
Measuring the contextual dimension of user experience: development of the user experience context scale (UXCS)
C Lallemand, V Koenig - Proceedings of the 11th nordic conference on …, 2020 - dl.acm.org
The context of use has been highlighted for a long time as being a key factor impacting User
Experience (UX). Yet current UX evaluation tools, especially questionnaires, rarely …
Experience (UX). Yet current UX evaluation tools, especially questionnaires, rarely …
[图书][B] Social Movement Discourse: An Introduction
TA Van Dijk - 2023 - books.google.com
This is both the first systematic introduction to Discourse Studies for students and scholars of
social movements and a study of discourses on the European “refugee crisis”, by leading …
social movements and a study of discourses on the European “refugee crisis”, by leading …
Beyond the Big Five personality traits for music recommendation systems
The aim of this paper is to investigate the influence of personality traits, characterized by the
BFI (Big Five Inventory) and its significant revision called BFI-2, on music recommendation …
BFI (Big Five Inventory) and its significant revision called BFI-2, on music recommendation …