Jacopo Tagliabue

73 papers A* 5A 2B 2C 1Journal 48Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents. CoRR Weiming Sheng, Jinlang Wang, Manuel Barros, Aldrin Montana, Jacopo Tagliabue, Luca Bigon
2026	J	`jnl`	Making Databases Faster with LLM Evolutionary Sampling. CoRR Mehmet Hamza Erol, Xiangpeng Hao, Federico Bianchi, Ciro Greco, Jacopo Tagliabue, James Zou
2026	J	`jnl`	Querying Everything Everywhere All at Once: Supervaluationism for the Agentic Lakehouse. CoRR Jacopo Tagliabue
2025	J	`jnl`	AI for Distributed Systems Design: Scalable Cloud Optimization Through Repeated LLMs Sampling And Simulators. CoRR Jacopo Tagliabue
2025	J	`jnl`	Eudoxia: a FaaS scheduling simulator for the composable lakehouse. CoRR Tapan Srivastava, Jacopo Tagliabue, Ciro Greco
2025	B	`conf`	Safe, Untrusted, "Proof-Carrying" AI Agents: Toward the Agentic Lakehouse. IEEE Big Data Jacopo Tagliabue, Ciro Greco
2025	J	`jnl`	Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse. CoRR Jacopo Tagliabue, Ciro Greco
2025	J	`jnl`	Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance. CoRR Jacopo Tagliabue, Federico Bianchi, Ciro Greco
2025	J	`jnl`	Zerrow: True Zero-Copy Arrow Pipelines in Bauplan. CoRR Yifan Dai, Jacopo Tagliabue, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Tyler Caraza-Harter
2024	J	`jnl`	Author Correction: A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2024	—	`conf`	Bauplan: Zero-copy, Scale-up FaaS for Data Pipelines. WOSC@Middleware Jacopo Tagliabue, Tyler Caraza-Harter, Ciro Greco
2024	J	`jnl`	Bauplan: zero-copy, scale-up FaaS for data pipelines. CoRR Jacopo Tagliabue, Tyler Caraza-Harter, Ciro Greco
2024	B	`conf`	FaaS and Furious: abstractions and differential caching for efficient data pre-processing. IEEE Big Data Jacopo Tagliabue, Ryan Curtin, Ciro Greco
2024	J	`jnl`	FaaS and Furious: abstractions and differential caching for efficient data pre-processing. CoRR Jacopo Tagliabue, Ryan Curtin, Ciro Greco
2024	A*	`conf`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. ICML Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	J	`jnl`	How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
2024	—	`conf`	Reproducible data science over data lakes: replayable data pipelines with Bauplan and Nessie. DEEM@SIGMOD Jacopo Tagliabue, Ciro Greco
2024	J	`jnl`	Reproducible data science over data lakes: replayable data pipelines with Bauplan and Nessie. CoRR Jacopo Tagliabue, Ciro Greco
2023	—	`conf`	(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis. eCom@SIGIR Jacopo Tagliabue, Ciro Greco
2023	J	`jnl`	(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis. CoRR Jacopo Tagliabue, Ciro Greco
2023	J	`jnl`	A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2023	—	`conf`	Building a Serverless Data Lakehouse from Spare Parts. VLDB Workshops Jacopo Tagliabue, Ciro Greco, Luca Bigon
2023	J	`jnl`	Building a serverless Data Lakehouse from spare parts. CoRR Jacopo Tagliabue, Ciro Greco, Luca Bigon
2023	J	`jnl`	E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems. CoRR Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain
2023	J	`jnl`	EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments. CoRR Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue
2023	A*	`conf`	EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. KDD Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo
2023	—	`ed.`	Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), Long Beach,CA, USA, August 7, 2023. EvalRS@KDD Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue
2023	—	`ed.`	Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, July 27, 2023. eCom@SIGIR Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue
2023	J	`jnl`	Reasonable Scale Machine Learning with Open-Source Metaflow. CoRR Jacopo Tagliabue, Hugo Bowne-Anderson, Ville Tuulos, Savin Goyal, Romain Cledat, David Berg
2023	J	`jnl`	The Ethics of Online Controlled Experiments (A/B Testing). Minds Mach. Andrea Polonioli, Riccardo Ghioni, Ciro Greco, Prathm Juneja, Jacopo Tagliabue, David S. Watson, Luciano Floridi
2023	—	`conf`	Wild Wild Tests. ORSUM@RecSys Jacopo Tagliabue
2023	J	`jnl`	Witgenstein's influence on artificial intelligence. CoRR Piero Molino, Jacopo Tagliabue
2023	A*	`conf`	eCom'23: The SIGIR 2023 Workshop on eCommerce. SIGIR Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue
2022	J	`jnl`	"Does it come in black?" CLIP-like models are zero-shot recommenders. CoRR Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Gonçalves
2022	—	`conf`	Beyond NDCG: Behavioral Testing of Recommender Systems with RecList. WWW (Companion Volume) Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko
2022	J	`jnl`	EvalRS: a Rounded Evaluation of Recommender Systems. CoRR Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2022	—	`conf`	EvalRS: a rounded evaluation of recommender systems. CIKM Workshops Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
2022	J	`jnl`	FashionCLIP: Connecting Language and Images for Product Representations. CoRR Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Gonçalves, Ciro Greco, Jacopo Tagliabue
2022	J	`jnl`	On the plurality of graphs. J. Log. Comput. Nicole Fitzgerald, Jacopo Tagliabue
2022	A*	`conf`	eCom'22: The SIGIR 2022 Workshop on eCommerce. SIGIR Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue
2021	J	`jnl`	"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops. CoRR Patrick John Chia, Bingqing Yu, Jacopo Tagliabue
2021	J	`jnl`	Beyond NDCG: behavioral testing of recommender systems with RecList. CoRR Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko
2021	J	`jnl`	DAG Card is the new Model Card. CoRR Jacopo Tagliabue, Ville Tuulos, Ciro Greco, Valay Dave
2021	—	`conf`	Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. NAACL-HLT Federico Bianchi, Ciro Greco, Jacopo Tagliabue
2021	J	`jnl`	Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. CoRR Federico Bianchi, Ciro Greco, Jacopo Tagliabue
2021	J	`jnl`	Query2Prod2Vec Grounded Word Embeddings for eCommerce. CoRR Federico Bianchi, Jacopo Tagliabue, Bingqing Yu
2021	—	`conf`	Query2Prod2Vec: Grounded Word Embeddings for eCommerce. NAACL-HLT (Industry Papers) Federico Bianchi, Jacopo Tagliabue, Bingqing Yu
2021	J	`jnl`	SIGIR 2021 E-Commerce Workshop Data Challenge. CoRR Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
2021	A	`conf`	You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. RecSys Jacopo Tagliabue
2021	J	`jnl`	You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. CoRR Jacopo Tagliabue
2020	—	`conf`	"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. WWW (Companion Volume) Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi
2020	J	`jnl`	"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. CoRR Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi
2020	J	`jnl`	BERT Goes Shopping: Comparing Distributional Models for Product Representations. CoRR Federico Bianchi, Bingqing Yu, Jacopo Tagliabue
2020	J	`jnl`	Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning. CoRR Bingqing Yu, Jacopo Tagliabue
2020	J	`jnl`	Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. CoRR Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco
2020	J	`jnl`	How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead. CoRR Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu
2020	J	`jnl`	On The Plurality of Graphs. CoRR Nicole Fitzgerald, Jacopo Tagliabue
2020	J	`jnl`	Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution. CoRR Jacopo Tagliabue, Bingqing Yu
2020	A	`conf`	The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. RecSys Jacopo Tagliabue, Bingqing Yu, Federico Bianchi
2019	C	`conf`	Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. DATA Ciro Greco, Andrea Polonioli, Jacopo Tagliabue
2019	J	`jnl`	Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. CoRR Ciro Greco, Andrea Polonioli, Jacopo Tagliabue
2019	J	`jnl`	Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration. CoRR Jacopo Tagliabue, Reuben Cohn-Gordon
2019	A*	`conf`	Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. ICDM Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli
2019	J	`jnl`	Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. CoRR Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli
2019	J	`jnl`	Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce. CoRR Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue
2018	—	`conf`	Simulation of a Trust and Reputation Based Mitigation Protocol for a Black Hole Style Attack on VANETs. EuroS&P Workshops Giuseppe Primiero, Agostino Martorana, Jacopo Tagliabue
2018	—	`conf`	Swarm Attack: A Self-organized Model to Recover from Malicious Communication Manipulation in a Swarm of Simple Simulated Agents. ANTS Conference Giuseppe Primiero, Elio Tuci, Jacopo Tagliabue, Eliseo Ferrante
2017	J	`jnl`	Trust and distrust in contradictory information transmission. Appl. Netw. Sci. Giuseppe Primiero, Franco Raimondi, Michele Bottone, Jacopo Tagliabue
2016	—	`conf`	Contradictory information flow in networks with trust and distrust. COMPLEX NETWORKS Giuseppe Primiero, Michele Bottone, Franco Raimondi, Jacopo Tagliabue
2016	J	`jnl`	There's Plenty of Boole at the Bottom: A Reversible CA Against Information Entropy. Minds Mach. Francesco Berto, Jacopo Tagliabue, Gabriele Rossi
2014	J	`jnl`	Anomalous Monism in a Digital Universe. Minds Mach. Jacopo Tagliabue
2014	J	`jnl`	The world is either digital or analogue. Synth. Francesco Berto, Jacopo Tagliabue
2012	J	`jnl`	Crossover phenomenon in the performance of an Internet search engine CoRR Lucas Lacasa, Jacopo Tagliabue, Andrew Berdahl