Maurizio Ferrari Dacrema

Orcid: 0000-0001-7103-2788

According to our database1, Maurizio Ferrari Dacrema authored at least 62 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Analyzing the effectiveness of quantum annealing with meta-learning.
Quantum Mach. Intell., December, 2024

Reinforcement Learning for Variational Quantum Circuits Design.
CoRR, 2024

Adaptive Learning for Quantum Linear Regression.
CoRR, 2024

AutoOPE: Automated Off-Policy Estimator Selection.
CoRR, 2024

Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploiting Contextual Normalizations and Article Endorsement for News Recommendation.
Proceedings of the Recommender Systems Challenge 2024, 2024

Pre-Trained LLM Embeddings of Product Reviews for Recommendation.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

QuantumCLEF - Quantum Computing at CLEF.
Proceedings of the Advances in Information Retrieval, 2024

Quantum Computing for Information Retrieval and Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2024

Overview of QuantumCLEF 2024: The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023.
SIGIR Forum, December, 2023

Impression-Aware Recommender Systems.
CoRR, 2023

Workshop on Learning and Evaluating Recommendations with Impressions (LERI).
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

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

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

Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Impressions in Recommender Systems: Present and Future.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material.
Dataset, January, 2022

An Evaluation of Generative Adversarial Networks for Collaborative Filtering - Supplemental Material.
Dataset, January, 2022

Design and Evaluation of Cross-Domain Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels.
Frontiers Big Data, 2022

From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain.
IEEE Access, 2022

Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Recommender Systems with Community Detection and Quantum Computing.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

Feature Selection for Classification with QAOA.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Virtual Network Function Embedding with Quantum Annealing.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Off-Policy Evaluation with Deficient Support Using Side Information.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Replication of Recommender Systems with Impressions.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Feature Selection via Quantum Annealers for Ranking and Classification Tasks.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Evaluating Recommendations in a User Interface With Multiple Carousels.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering.
Proceedings of the Advances in Information Retrieval, 2022

2021
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research.
ACM Trans. Inf. Syst., 2021

Feature Selection for Recommender Systems with Quantum Computing.
Entropy, 2021

A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels.
Proceedings of the IMX '21: ACM International Conference on Interactive Media Experiences, 2021

Optimizing the Selection of Recommendation Carousels with Quantum Computing.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment.
Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An assessment of reproducibility and methodological issues in neural recommender systems research.
PhD thesis, 2020

Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction.
Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Methodological Issues in Recommender Systems Research (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

ContentWise Impressions: An Industrial Dataset with Impressions Included.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Movie genome: alleviating new item cold start in movie recommendation.
User Model. User Adapt. Interact., 2019

Estimating Confidence of Individual User Predictions in Item-based Recommender Systems.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Are we really making much progress? A worrying analysis of recent neural recommendation approaches.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features.
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

2018
Eigenvalue analogy for confidence estimation in item-based recommender systems.
CoRR, 2018

A novel graph-based model for hybrid recommendations in cold-start scenarios.
CoRR, 2018

Deriving Item Features Relevance from Collaborative Domain Knowledge.
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, 2018

Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario.
Proceedings of the ACM Recommender Systems Challenge, 2018

Aggregating Models for Anomaly Detection in Space Systems: Results from the FCTMAS Study.
Proceedings of the Intelligent Autonomous Systems 15, 2018

User Preference Sources: Explicit vs. Implicit Feedback.
Proceedings of the Collaborative Recommendations, 2018


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