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- research-articleJune 2023
Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits
UMAP '23: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and PersonalizationPages 66–77https://doi.org/10.1145/3565472.3592958In recent decades, music recommender systems have become increasingly popular and have attracted a lot of research attention. While there has been significant progress in algorithm design to improve the quality of recommendations for listeners, there ...
- demonstrationJune 2023
SpotifyExplained: User-centric Mobile Application for Music Exploration
UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and PersonalizationPages 92–95https://doi.org/10.1145/3563359.3597392Many music streaming services, such as Spotify, contain a large volume of heavy users, whose user profiles may contain tens to hundreds artists or hundreds to thousands favorite tracks. For those users, it may be difficult to understand, what data the ...
- research-articleApril 2020
An investigation on the user interaction modes of conversational recommender systems for the music domain
User Modeling and User-Adapted Interaction (KLU-USER), Volume 30, Issue 2Pages 251–284https://doi.org/10.1007/s11257-019-09250-7AbstractConversational Recommender Systems (CoRSs) implement a paradigm that allows users to interact in natural language with the system for defining their preferences and discovering items that best fit their needs. CoRSs can be straightforwardly ...
- research-articleOctober 2018
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking
RecSys Challenge '18: Proceedings of the ACM Recommender Systems Challenge 2018Article No.: 10, Pages 1–6https://doi.org/10.1145/3267471.3267481The focus of RecSys Challenge 2018 is automatic playlist continuation (APC), which refers to the task of adding one or more tracks to a playlist in a manner that does not alter the intended characteristics of the original playlist. This paper presents ...
- ArticleJanuary 2019
Machine Learning Approaches to Hybrid Music Recommender Systems
Machine Learning and Knowledge Discovery in DatabasesPages 639–642https://doi.org/10.1007/978-3-030-10997-4_42AbstractMusic recommender systems have become a key technology supporting the access to increasingly larger music catalogs in on-line music streaming services, on-line music shops, and private collections. The interaction of users with large music ...
- ArticleJune 2018
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services
AbstractSuppliers of music streaming services are showing an increasing interest for providing users with reliable personalized recommendations since their practically unlimited offerings make it difficult for users to find the music they like. In this ...