| 2025 | VLDB | DAG lakehouse planning with an ephemeral and embedded graph database. | Luca Bigon, Jacopo Tagliabue, Semih Salihoglu |
| 2025 | VLDB | The Deconstructed Warehouse: An Ephemeral Query Engine Design for Apache Iceberg. | Ryan Curtin, Jacopo Tagliabue |
| 2025 | VLDB | Eudoxia: a FaaS scheduling simulator for the composable lakehouse. | Tapan Srivastava, Jacopo Tagliabue, Ciro Greco |
| 2025 | VLDB | Speedrunning a lakehouse: a composable FaaS over object storage. | Jacopo Tagliabue |
| 2024 | ICML | How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. | Federico Bianchi, Patrick John Chia, Mert Yksekgnl, Jacopo Tagliabue, Dan Jurafsky, James Zou |
| 2023 | KDD | EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. | Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo |
| 2023 | SIGIR | eCom'23: The SIGIR 2023 Workshop on eCommerce. | Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2023 | VLDB | Building a Serverless Data Lakehouse from Spare Parts. | Jacopo Tagliabue, Ciro Greco, Luca Bigon |
| 2022 | CIKM | EvalRS: a rounded evaluation of recommender systems. | Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia |
| 2022 | WWW | Beyond NDCG: Behavioral Testing of Recommender Systems with RecList. | Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko |
| 2022 | SIGIR | eCom'22: The SIGIR 2022 Workshop on eCommerce. | Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2021 | NAACL | Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. | Federico Bianchi, Ciro Greco, Jacopo Tagliabue |
| 2021 | NAACL | Query2Prod2Vec: Grounded Word Embeddings for eCommerce. | Federico Bianchi, Jacopo Tagliabue, Bingqing Yu |
| 2021 | RecSys | You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. | Jacopo Tagliabue |
| 2020 | RecSys | The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. | Jacopo Tagliabue, Bingqing Yu, Federico Bianchi |
| 2020 | WWW | "An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. | Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi |
| 2019 | DATA | Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. | Ciro Greco, Andrea Polonioli, Jacopo Tagliabue |