Crossover phenomenon in the performance of an Internet search engine - Lucas Lacasa; Jacopo Tagliabue; Andrew Berdahl (CoRR, 2012)

Anomalous Monism in a Digital Universe. - Jacopo Tagliabue (Minds Mach., 2014)

The world is either digital or analogue. - Francesco Berto; Jacopo Tagliabue (Synth., 2014)

Contradictory information flow in networks with trust and distrust. - Giuseppe Primiero; Michele Bottone; Franco Raimondi; Jacopo Tagliabue (COMPLEX NETWORKS, 2016)

There's Plenty of Boole at the Bottom: A Reversible CA Against Information Entropy. - Francesco Berto; Jacopo Tagliabue; Gabriele Rossi (Minds Mach., 2016)

Trust and distrust in contradictory information transmission. - Giuseppe Primiero; Franco Raimondi; Michele Bottone; Jacopo Tagliabue (Appl. Netw. Sci., 2017)

Swarm Attack: A Self-organized Model to Recover from Malicious Communication Manipulation in a Swarm of Simple Simulated Agents. - Giuseppe Primiero; Elio Tuci; Jacopo Tagliabue; Eliseo Ferrante (ANTS Conference, 2018)

Simulation of a Trust and Reputation Based Mitigation Protocol for a Black Hole Style Attack on VANETs. - Giuseppe Primiero; Agostino Martorana; Jacopo Tagliabue (EuroS&P Workshops, 2018)

Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. - Ciro Greco; Andrea Polonioli; Jacopo Tagliabue (DATA, 2019)

Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. - Jacopo Tagliabue; Lucas Lacasa; Ciro Greco; Mattia Pavoni; Andrea Polonioli (ICDM, 2019)

Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce. - Luca Bigon; Giovanni Cassani; Ciro Greco; Lucas Lacasa; Mattia Pavoni; Andrea Polonioli; Jacopo Tagliabue (CoRR, 2019)

Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration. - Jacopo Tagliabue; Reuben Cohn-Gordon (CoRR, 2019)

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 001 (RecSys, 2020)

"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. - Bingqing Yu; Jacopo Tagliabue; Ciro Greco; Federico Bianchi 001 (WWW (Companion Volume), 2020)

How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead. - Jacopo Tagliabue; Bingqing Yu; Marie Beaulieu (CoRR, 2020)

Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution. - Jacopo Tagliabue; Bingqing Yu (CoRR, 2020)

Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. - Federico Bianchi 001; Jacopo Tagliabue; Bingqing Yu; Luca Bigon; Ciro Greco (CoRR, 2020)

Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning. - Bingqing Yu; Jacopo Tagliabue (CoRR, 2020)

BERT Goes Shopping: Comparing Distributional Models for Product Representations. - Federico Bianchi 001; Bingqing Yu; Jacopo Tagliabue (CoRR, 2020)

Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. - Federico Bianchi 001; Ciro Greco; Jacopo Tagliabue (NAACL-HLT, 2021)

Query2Prod2Vec: Grounded Word Embeddings for eCommerce. - Federico Bianchi 001; Jacopo Tagliabue; Bingqing Yu (NAACL-HLT (Industry Papers), 2021)

You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. - Jacopo Tagliabue (RecSys, 2021)

SIGIR 2021 E-Commerce Workshop Data Challenge. - Jacopo Tagliabue; Ciro Greco; Jean-Francis Roy; Bingqing Yu; Patrick John Chia; Federico Bianchi 001; Giovanni Cassani (CoRR, 2021)

"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops. - Patrick John Chia; Bingqing Yu; Jacopo Tagliabue (CoRR, 2021)

DAG Card is the new Model Card. - Jacopo Tagliabue; Ville Tuulos; Ciro Greco; Valay Dave (CoRR, 2021)

EvalRS: a rounded evaluation of recommender systems. - Jacopo Tagliabue; Federico Bianchi 001; Tobias Schnabel; Giuseppe Attanasio; Ciro Greco; Gabriel de Souza P. Moreira; Patrick John Chia (CIKM Workshops, 2022)

eCom'22: The SIGIR 2022 Workshop on eCommerce. - Ajinkya Kale; Surya Kallumadi; Tracy Holloway King; Shervin Malmasi; Maarten de Rijke; Jacopo Tagliabue (SIGIR, 2022)

Beyond NDCG: Behavioral Testing of Recommender Systems with RecList. - Patrick John Chia; Jacopo Tagliabue; Federico Bianchi 001; Chloe He 001; Brian Ko (WWW (Companion Volume), 2022)

"Does it come in black?" CLIP-like models are zero-shot recommenders. - Patrick John Chia; Jacopo Tagliabue; Federico Bianchi 001; Ciro Greco; Diogo Gonçalves 007 (CoRR, 2022)

FashionCLIP: Connecting Language and Images for Product Representations. - Patrick John Chia; Giuseppe Attanasio; Federico Bianchi 001; Silvia Terragni; Ana Rita Magalhães; Diogo Gonçalves 007; Ciro Greco; Jacopo Tagliabue (CoRR, 2022)

On the plurality of graphs. - Nicole Fitzgerald; Jacopo Tagliabue (J. Log. Comput., 2022)

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis. - Jacopo Tagliabue; Ciro Greco (eCom@SIGIR, 2023)

EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. - Federico Bianchi 001; Patrick John Chia; Jacopo Tagliabue; Ciro Greco; Gabriel de Souza P. Moreira; Davide Eynard; Fahd Husain; Claudio Pomo (KDD, 2023)

Wild Wild Tests. - Jacopo Tagliabue (ORSUM@RecSys, 2023)

eCom'23: The SIGIR 2023 Workshop on eCommerce. - Surya Kallumadi; Yubin Kim 001; Tracy Holloway King; Shervin Malmasi; Maarten de Rijke; Jacopo Tagliabue (SIGIR, 2023)

Building a Serverless Data Lakehouse from Spare Parts. - Jacopo Tagliabue; Ciro Greco; Luca Bigon (VLDB Workshops, 2023)

Witgenstein's influence on artificial intelligence. - Piero Molino; Jacopo Tagliabue (CoRR, 2023)

Reasonable Scale Machine Learning with Open-Source Metaflow. - Jacopo Tagliabue; Hugo Bowne-Anderson; Ville Tuulos; Savin Goyal; Romain Cledat; David Berg (CoRR, 2023)

E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems. - Patrick John Chia; Giuseppe Attanasio; Jacopo Tagliabue; Federico Bianchi 001; Ciro Greco; Gabriel de Souza P. Moreira; Davide Eynard; Fahd Husain (CoRR, 2023)

A challenge for rounded evaluation of recommender systems. - Jacopo Tagliabue; Federico Bianchi 001; Tobias Schnabel; Giuseppe Attanasio; Ciro Greco; Gabriel de Souza P. Moreira; Patrick John Chia (Nat. Mac. Intell., 2023)

The Ethics of Online Controlled Experiments (A/B Testing). - Andrea Polonioli; Riccardo Ghioni; Ciro Greco; Prathm Juneja; Jacopo Tagliabue; David S. Watson; Luciano Floridi (Minds Mach., 2023)

FaaS and Furious: abstractions and differential caching for efficient data pre-processing. - Jacopo Tagliabue; Ryan Curtin; Ciro Greco (IEEE Big Data, 2024)

Reproducible data science over data lakes: replayable data pipelines with Bauplan and Nessie. - Jacopo Tagliabue; Ciro Greco (DEEM@SIGMOD, 2024)

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. - Federico Bianchi 001; Patrick John Chia; Mert Yüksekgönül; Jacopo Tagliabue; Dan Jurafsky; James Zou 001 (ICML, 2024)

Bauplan: Zero-copy, Scale-up FaaS for Data Pipelines. - Jacopo Tagliabue; Tyler Caraza-Harter; Ciro Greco (WOSC@Middleware, 2024)

Author Correction: A challenge for rounded evaluation of recommender systems. - Jacopo Tagliabue; Federico Bianchi 001; Tobias Schnabel; Giuseppe Attanasio; Ciro Greco; Gabriel de Souza P. Moreira; Patrick John Chia (Nat. Mac. Intell., 2024)

Zerrow: True Zero-Copy Arrow Pipelines in Bauplan. - Yifan Dai; Jacopo Tagliabue; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau; Tyler Caraza-Harter (CoRR, 2025)

Eudoxia: a FaaS scheduling simulator for the composable lakehouse. - Tapan Srivastava; Jacopo Tagliabue; Ciro Greco (CoRR, 2025)