Track Mix Generation on Music Streaming Services using Transformers
RecSys - 2023
On the Consistency of Average Embeddings for Item Recommendation
RecSys - 2023
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services
SIGIR - 2023
Attention Mixtures for Time-Aware Sequential Recommendation
SIGIR - 2023
New Frontiers in Graph Learning: Joint Community Detection and Link Prediction
NeurIPS GLFrontiers - 2022
Flow Moods: Recommending Music by Moods on Deezer
RecSys - 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Neural Networks - 2022
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
RecSys - 2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
RecSys - 2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
KDD - 2021
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Neural Networks - 2021
Modeling the Music Genre Perception across Language-Bound Cultures
EMNLP - 2020
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
ISMIR - 2020
Carousel Personalization in Music Streaming Apps with Contextual Bandits
RecSys - 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
ECML-PKDD - 2020
Muzeeglot: a Web Interface for Visualizing Multilingual Music Genre Embedding Spaces
JEP-TALN-RECITAL - 2020
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
NeurIPS GRL - 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
CIKM - 2019
A Degeneracy Framework for Scalable Graph Autoencoders
IJCAI - 2019