output
20172024
most citedA Deep Multimodal Approach for Cold-start Music Recommendation

80 citations

8 papers

cs.IR2024★ 13 cited

It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation

Andres Ferraro, Michael D. Ekstrand, Christine Bauer

As recommender systems are prone to various biases, mitigation approaches are needed to ensure that recommendations are fair to various stakeholders. One particular concern in musi…

nucl-ex2022★ 4 cited

PANDORA project: photo-nuclear reactions below

A. Tamii, L. Pellegri, P. -A. Söderström +78

Photo-nuclear reactions of light nuclei below a mass of are studied experimentally and theoretically by the PANDORA (Photo-Absorption of Nuclei and Decay Observation for Rea…

cs.IR2020★ 6 cited

Multimodal Metric Learning for Tag-based Music Retrieval

Minz Won, Sergio Oramas, Oriol Nieto +2

Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task,…

cs.IR2020★ 3 cited

Efficient Personalized Community Detection via Genetic Evolution

Zheng Gao, Chun Guo, Xiaozhong Liu

Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link predict…

cs.IR2018★ 4 cited

The Importance of Song Context and Song Order in Automated Music Playlist Generation

Andreu Vall, Massimo Quadrana, Markus Schedl +1

The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening sessio…

stat.ML2018★ 4 cited

Predicting Audio Advertisement Quality

Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup +1

Online audio advertising is a particular form of advertising used abundantly in online music streaming services. In these platforms, which tend to host tens of thousands of unique…