Vito Bellini

According to our database, Vito Bellini authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

Contextual Position Bias Estimation Using a Single Stochastic Logging Policy.

Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims

Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling.

Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini

CoRR, 2022

Modeling Position Bias Ranking for Streaming Media Services.

Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Fair Effect Attribution in Parallel Online Experiments.

Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Ranker-agnostic Contextual Position Bias Estimation.

Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein

CoRR, 2021

2020

Knowledge-Aware Interpretable Recommender Systems.

Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

A Linear Bandit for Seasonal Environments.

Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella

CoRR, 2020

GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration.

Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Semantics-Aware Autoencoder.

Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone

IEEE Access, 2019

2018

Knowledge-aware Autoencoders for Explainable Recommender Sytems.

Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio

CoRR, 2018

Computing Recommendations via a Knowledge Graph-aware Autoencoder.

Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio

Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, 2018

Knowledge-aware Autoencoders for Explainable Recommender Systems.

Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems.

Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone

Proceedings of the 9th Italian Information Retrieval Workshop, 2018

Reflective Internet of Things Middleware-Enabled a Predictive Real-Time Waste Monitoring System.

Vito Bellini, Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Angelo Parchitelli, Eugenio Di Sciascio

Proceedings of the Web Engineering - 18th International Conference, 2018

2017

Querying deep web data sources as linked data.

Vito Walter Anelli, Vito Bellini, Andrea Calì, Giuseppe De Santis, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

An Analysis on Time- and Session-aware Diversification in Recommender Systems.

Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios.

Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

On the Role of Time and Sessions in Diversifying Recommendation Results.

Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the 8th Italian Information Retrieval Workshop, 2017