[HTML][HTML] Digital nudging with recommender systems: Survey and future directions
Recommender systems are nowadays a pervasive part of our online user experience, where
they either serve as information filters or provide us with suggestions for additionally relevant …
they either serve as information filters or provide us with suggestions for additionally relevant …
Escaping the McNamara fallacy: Towards more impactful recommender systems research
Recommender systems are among today's most successful application areas of artificial
intelligence. However, in the recommender systems research community, we have fallen …
intelligence. However, in the recommender systems research community, we have fallen …
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 …
Promoting music exploration through personalized nudging in a genre exploration recommender
Y Liang, MC Willemsen - International Journal of Human …, 2023 - Taylor & Francis
Recommender systems are efficient at predicting users' current preferences, but how users'
preferences develop over time is still under-explored. In this work, we study the development …
preferences develop over time is still under-explored. In this work, we study the development …
The psychology of personalization in digital environments: From motivation to well-being–a theoretical integration
F Hutmacher, M Appel - Review of general psychology, 2023 - journals.sagepub.com
The personalization of digital environments is becoming ubiquitous due to the rise of AI-
based algorithms and recommender systems. Arguably, this technological development has …
based algorithms and recommender systems. Arguably, this technological development has …
[Retracted] Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm
S He - Security and Communication Networks, 2022 - Wiley Online Library
With improving people's living standards, tourism has become essential leisure and
entertainment. At present, it has begun to shift from a quantity‐oriented tourism method to a …
entertainment. At present, it has begun to shift from a quantity‐oriented tourism method to a …
[PDF][PDF] Intelligent User Interfaces for Music Discovery.
With its origins in Information Retrieval research, a fundamental goal of Music Information
Retrieval (MIR) as a dedicated research field in the year 2000 was to develop technology to …
Retrieval (MIR) as a dedicated research field in the year 2000 was to develop technology to …
Exploring longitudinal effects of session-based recommendations
Session-based recommendation is a problem setting where the task of a recommender
system is to make suitable item suggestions based only on a few observed user interactions …
system is to make suitable item suggestions based only on a few observed user interactions …
Digitally nudging users to explore off-profile recommendations: here be dragons
G Alves, D Jannach, RF de Souza, D Damian… - User Modeling and User …, 2024 - Springer
In many application domains of recommender systems, eg, on media streaming sites, one
main goal of the provider of the recommendation service is to increase the engagement of …
main goal of the provider of the recommendation service is to increase the engagement of …
The role of preference consistency, defaults and musical expertise in users' exploration behavior in a genre exploration recommender
Y Liang, MC Willemsen - Proceedings of the 15th ACM conference on …, 2021 - dl.acm.org
Recommender systems are efficient at predicting users' current preferences, but how users'
preferences develop over time is still under-explored. In this work, we study the development …
preferences develop over time is still under-explored. In this work, we study the development …