Matteo Ruffini

19 papers A 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation.
CoRR
Jan Malte Lichtenberg, Antonio De Candia, Matteo Ruffini
2025 — conf
Sequential Recommenders and Multimodal Inputs: Mitigating Data Quality Issues in Industry-Scale Recommenders.
DaQuaMRec@RecSys
Jan Malte Lichtenberg, Matteo Ruffini
2024 A conf
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending.
RecSys
Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini
2024 J jnl
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending.
CoRR
Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini
2023 — conf
Contextual Position Bias Estimation Using a Single Stochastic Logging Policy.
LERI@RecSys
Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims
2023 J jnl
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation.
CoRR
Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London
2022 — conf
Fair Effect Attribution in Parallel Online Experiments.
WWW (Companion Volume)
Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen
2022 J jnl
Fair Effect Attribution in Parallel Online Experiments.
CoRR
Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen
2022 J jnl
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling.
CoRR
Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini
2022 — conf
Modeling Position Bias Ranking for Streaming Media Services.
WWW (Companion Volume)
Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein
2021 J jnl
Ranker-agnostic Contextual Position Bias Estimation.
CoRR
Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein
2019 — —
Learning latent variable models: efficient algorithms and applications.
Matteo Ruffini
2018 J jnl
A new method of moments for latent variable models.
Mach. Learn.
Matteo Ruffini, Marta Casanellas, Ricard Gavaldà
2018 J jnl
Generating Synthetic but Plausible Healthcare Record Datasets.
CoRR
Laura Aviñó, Matteo Ruffini, Ricard Gavaldà
2018 J jnl
Hierarchical Methods of Moments.
CoRR
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
2017 — conf
Clustering Patients with Tensor Decomposition.
MLHC
Matteo Ruffini, Ricard Gavaldà, Esther Limon
2017 J jnl
Clustering Patients with Tensor Decomposition.
CoRR
Matteo Ruffini, Ricard Gavaldà, Esther Limon
2017 — conf
Hierarchical Methods of Moments.
NIPS
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
2012 — conf
Uncalibrated View Synthesis with Homography Interpolation.
3DIMPVT
Pasqualina Fragneto, Andrea Fusiello, Beatrice Rossi, Luca Magri, Matteo Ruffini