Jacopo Tagliabue | DeepAI

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Featured Co-authors

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Gabriel de Souza P. Moreira
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∙ 08/10/2023

Building a serverless Data Lakehouse from spare parts

The recently proposed Data Lakehouse architecture is built on open file ...

0 Jacopo Tagliabue, et al. ∙

∙ 04/22/2023

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

As ecommerce continues growing, huge investments in ML and NLP for Infor...

0 Jacopo Tagliabue, et al. ∙

∙ 04/20/2023

E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems

Recommender Systems today are still mostly evaluated in terms of accurac...

0 Patrick John Chia, et al. ∙

∙ 04/14/2023

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

EvalRS aims to bring together practitioners from industry and academia t...

0 Federico Bianchi, et al. ∙

∙ 03/21/2023

Reasonable Scale Machine Learning with Open-Source Metaflow

As Machine Learning (ML) gains adoption across industries and new use ca...

0 Jacopo Tagliabue, et al. ∙

∙ 02/03/2023

Witgenstein's influence on artificial intelligence

We examine how much of the contemporary progress in artificial intellige...

0 Piero Molino, et al. ∙

∙ 07/12/2022

EvalRS: a Rounded Evaluation of Recommender Systems

Much of the complexity of Recommender Systems (RSs) comes from the fact ...

0 Jacopo Tagliabue, et al. ∙

∙ 04/05/2022

"Does it come in black?" CLIP-like models are zero-shot recommenders

Product discovery is a crucial component for online shopping. However, i...

0 Patrick John Chia, et al. ∙

∙ 11/18/2021

Beyond NDCG: behavioral testing of recommender systems with RecList

As with most Machine Learning systems, recommender systems are typically...

0 Patrick John Chia, et al. ∙

∙ 10/24/2021

DAG Card is the new Model Card

With the progressive commoditization of modeling capabilities, data-cent...

0 Jacopo Tagliabue, et al. ∙

∙ 07/15/2021

You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack

We argue that immature data pipelines are preventing a large portion of ...

0 Jacopo Tagliabue, et al. ∙

∙ 07/07/2021

"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops

Large eCommerce players introduced comparison tables as a new type of re...

0 Patrick John Chia, et al. ∙

∙ 04/19/2021

SIGIR 2021 E-Commerce Workshop Data Challenge

The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge...

0 Jacopo Tagliabue, et al. ∙

∙ 04/18/2021

Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction

We investigate grounded language learning through real-world data, by mo...

0 Federico Bianchi, et al. ∙

∙ 04/02/2021

Query2Prod2Vec Grounded Word Embeddings for eCommerce

We present Query2Prod2Vec, a model that grounds lexical representations ...

0 Federico Bianchi, et al. ∙

∙ 12/17/2020

BERT Goes Shopping: Comparing Distributional Models for Product Representations

Word embeddings (e.g., word2vec) have been applied successfully to eComm...

1 Federico Bianchi, et al. ∙

∙ 10/15/2020

Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning

We tackle tag-based query refinement as a mobile-friendly alternative to...

0 Bingqing Yu, et al. ∙

∙ 08/03/2020

On The Plurality of Graphs

We conduct a series of experiments designed to empirically demonstrate t...

11 Nicole Fitzgerald, et al. ∙

∙ 07/20/2020

Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario

This paper addresses the challenge of leveraging multiple embedding spac...

1 Federico Bianchi, et al. ∙

∙ 07/20/2020

Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution

We tackle the challenge of in-session attribution for on-site search eng...

0 Jacopo Tagliabue, et al. ∙

∙ 05/26/2020

How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead

In an attempt to balance precision and recall in the search page, leadin...

0 Jacopo Tagliabue, et al. ∙

∙ 03/11/2020

"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization

We address the problem of personalizing query completion in a digital co...

1 Bingqing Yu, et al. ∙

∙ 10/30/2019

Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration

Information retrieval (IR) systems need to constantly update their knowl...

0 Jacopo Tagliabue, et al. ∙

∙ 07/22/2019

Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence

The claims that big data holds the key to enterprise successes and that ...

0 Ciro Greco, et al. ∙

∙ 07/03/2019

Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories

Knowing if a user is a buyer or window shopper solely based on clickstre...

0 Jacopo Tagliabue, et al. ∙

∙ 06/30/2019

Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce

Knowing if a user is a buyer vs window shopper solely based on clickstre...

0 Luca Bigon, et al. ∙

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