Giovanni Gabbolini

According to our database, Giovanni Gabbolini authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs.

Giovanni Gabbolini, Derek G. Bridge

Proceedings of the Advances in Information Retrieval, 2023

2022

Analyzing and improving stability of matrix factorization for recommender systems.

Edoardo D'Amico, Giovanni Gabbolini, Cesare Bernardis, Paolo Cremonesi

J. Intell. Inf. Syst., 2022

A User-Centered Investigation of Personal Music Tours.

Giovanni Gabbolini, Derek G. Bridge

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge.

Giovanni Gabbolini, Romain Hennequin, Elena V. Epure

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Generating Interesting Song-to-Song Segues With Dave.

Giovanni Gabbolini, Derek Bridge

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

On the instability of embeddings for recommender systems: the case of matrix factorization.

Giovanni Gabbolini, Edoardo D'Amico, Cesare Bernardis, Paolo Cremonesi

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Play It Again, Sam! Recommending Familiar Music in Fresh Ways.

Giovanni Gabbolini, Derek Bridge

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

An interpretable music similarity measure based on path interestingness.

Giovanni Gabbolini, Derek Bridge

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2019

Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank.

Edoardo D'Amico, Giovanni Gabbolini, Daniele Montesi, Matteo Moreschini, Federico Parroni, Federico Piccinini, Alberto Rossettini, Alessio Russo Introito, Cesare Bernardis, Maurizio Ferrari Dacrema

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019