80 citations
- Universitat Pompeu FabraES2 papers
- Advanced Science Research CenterJP1 paper
- Akal UniversityIN1 paper
- Chinese Academy of SciencesCN1 paper
- Drexel UniversityUS1 paper
- Guru Jambheshwar University of Science and TechnologyIN1 paper
- Hokkaido UniversityJP1 paper
- Indiana University BloomingtonUS1 paper
- Istanbul UniversityTR1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT1 paper
- iThemba LaboratoryZA1 paper
- Japan Atomic Energy AgencyJP1 paper
5 papers · 1 filter
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…
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,…
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…
Predicting Session Length in Media Streaming
Theodore Vasiloudis, Hossein Vahabi, Ross Kravitz +1
Session length is a very important aspect in determining a user's satisfaction with a media streaming service. Being able to predict how long a session will last can be of great us…
A Deep Multimodal Approach for Cold-start Music Recommendation
Sergio Oramas, Oriol Nieto, Mohamed Sordo +1
An increasing amount of digital music is being published daily. Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists…