| Cellular automata F Berto, J Tagliabue | 123 | 2012 |
| Shopper intent prediction from clickstream e-commerce data with minimal browsing information B Requena, G Cassani, J Tagliabue, C Greco, L Lacasa Scientific Reports 10 (1), 1-23, 2020 | 47 | 2020 |
| SIGIR 2021 E-Commerce Workshop Data Challenge J Tagliabue, C Greco, JF Roy, B Yu, PJ Chia, F Bianchi, G Cassani arXiv preprint arXiv:2104.09423, 2021 | 27 | 2021 |
| Trust and distrust in contradictory information transmission G Primiero, F Raimondi, M Bottone, J Tagliabue Applied Network Science 2 (1), 12, 2017 | 27 | 2017 |
| Beyond ndcg: behavioral testing of recommender systems with reclist PJ Chia, J Tagliabue, F Bianchi, C He, B Ko Companion Proceedings of the Web Conference 2022, 99-104, 2022 | 21 | 2022 |
| Query2Prod2Vec Grounded Word Embeddings for eCommerce F Bianchi, J Tagliabue, B Yu arXiv preprint arXiv:2104.02061, 2021 | 21 | 2021 |
| BERT Goes Shopping: Comparing Distributional Models for Product Representations F Bianchi, B Yu, J Tagliabue arXiv preprint arXiv:2012.09807, 2020 | 21 | 2020 |
| Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce L Bigon, G Cassani, C Greco, L Lacasa, M Pavoni, A Polonioli, ... arXiv preprint arXiv:1907.00400, 2019 | 21 | 2019 |
| Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario F Bianchi, J Tagliabue, B Yu, L Bigon, C Greco arXiv preprint arXiv:2007.14906, 2020 | 20 | 2020 |
| Contrastive language and vision learning of general fashion concepts PJ Chia, G Attanasio, F Bianchi, S Terragni, AR Magalhães, D Goncalves, ... Scientific Reports 12 (1), 1-13, 2022 | 18 | 2022 |
| How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead J Tagliabue, B Yu, M Beaulieu arXiv preprint arXiv:2005.12781, 2020 | 18 | 2020 |
| Swarm Attack: A Self-organized Model to Recover from Malicious Communication Manipulation in a Swarm of Simple Simulated Agents G Primiero, E Tuci, J Tagliabue, E Ferrante International Conference on Swarm Intelligence, 213-224, 2018 | 15 | 2018 |
| The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference J Tagliabue, B Yu, F Bianchi Fourteenth ACM Conference on Recommender Systems, 577-578, 2020 | 14 | 2020 |
| The world is either digital or analogue F Berto, J Tagliabue Synthese 191 (3), 481-497, 2014 | 14 | 2014 |
| You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack J Tagliabue Fifteenth ACM Conference on Recommender Systems, 598-600, 2021 | 13 | 2021 |
| Simulation of a trust and reputation based mitigation protocol for a black hole style attack on VANETs G Primiero, A Martorana, J Tagliabue 2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2018 | 12 | 2018 |
| The mathematics of the models of reference F Berto, G Rossi, J Tagliabue College Publications, 2010 | 11 | 2010 |
| “An Image is Worth a Thousand Features”: Scalable Product Representations for In-Session Type-Ahead Personalization B Yu, J Tagliabue, C Greco, F Bianchi Companion Proceedings of the Web Conference 2020, 461-470, 2020 | 10 | 2020 |
| EvalRS: a Rounded Evaluation of Recommender Systems J Tagliabue, F Bianchi, T Schnabel, G Attanasio, C Greco, GSP Moreira, ... arXiv preprint arXiv:2207.05772, 2022 | 7 | 2022 |
| A New kind of philosophy: Manifesto for a digital ontology J Tagliabue Irreducibility and computational equivalence, 325-339, 2013 | 7* | 2013 |
Federico BianchiStanford UniversityVerified email at stanford.edu
