Maurizio Ferrari Dacrema
Orcid: 0000-0001-7103-2788
According to our database1,
Maurizio Ferrari Dacrema
authored at least 50 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the Advances in Information Retrieval, 2024
2023
Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023.
SIGIR Forum, December, 2023
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
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023
Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
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
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
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022
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
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
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
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
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
CoRR, 2018
CoRR, 2018
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
Proceedings of the Collaborative Recommendations, 2018