24 citations · 83 across the 32 of their papers we have counts for
5 papers · 1 filter
Building a serverless Data Lakehouse from spare parts
Jacopo Tagliabue, Ciro Greco, Luca Bigon
The recently proposed Data Lakehouse architecture is built on open file formats, performance, and first-class support for data transformation, BI and data science: while the vision…
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue +5
Recommender Systems today are still mostly evaluated in terms of accuracy, with other aspects beyond the immediate relevance of recommendations, such as diversity, long-term user r…
(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis
Jacopo Tagliabue, Ciro Greco
As ecommerce continues growing, huge investments in ML and NLP for Information Retrieval are following. While the vector space model dominated retrieval modelling in product search…
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments
Federico Bianchi, Patrick John Chia, Ciro Greco +5
EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a m…
Reasonable Scale Machine Learning with Open-Source Metaflow
Jacopo Tagliabue, Hugo Bowne-Anderson, Ville Tuulos +3
As Machine Learning (ML) gains adoption across industries and new use cases, practitioners increasingly realize the challenges around effectively developing and iterating on ML sys…