12 citations · 20 across the 6 of their papers we have counts for
6 papers
Not Your Usual Type(s): Data contracts as types across languages and engines
Aldrin Montana, Colin Marc, Luca Bigon +1
Composable data systems promise to let developers combine languages, engines, and catalogs without sacrificing a coherent user experience. In practice, however, pipeline-node bound…
GitLake: Git-for-data for the agentic lakehouse
Weiming Sheng, Jinlang Wang, Manuel Barros +3
We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting a…
Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
Weiming Sheng, Jinlang Wang, Manuel Barros +3
Lakehouses are now the default substrate for analytics and AI, but they remain fragile under concurrent, untrusted change: schema mismatches often surface only at runtime, developm…
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…
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
Federico Bianchi, Jacopo Tagliabue, Bingqing Yu +2
This paper addresses the challenge of leveraging multiple embedding spaces for multi-shop personalization, proving that zero-shot inference is possible by transferring shopping int…
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Luca Bigon, Giovanni Cassani, Ciro Greco +4
Knowing if a user is a buyer vs window shopper solely based on clickstream data is of crucial importance for ecommerce platforms seeking to implement real-time accurate NBA (next b…