Search Results for author: Ciro Greco

Found 15 papers, 6 papers with code

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

no code implementations22 Apr 2023 Jacopo Tagliabue, Ciro Greco

As ecommerce continues growing, huge investments in ML and NLP for Information Retrieval are following.

Information Retrieval Position +2

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

1 code implementation20 Apr 2023 Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain

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 retention and fairness, often taking a back seat.

Fairness Model Selection +1

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

1 code implementation14 Apr 2023 Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue

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 multitude of deployment scenarios.

Fairness Informativeness +1

EvalRS: a Rounded Evaluation of Recommender Systems

1 code implementation12 Jul 2022 Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia

Much of the complexity of Recommender Systems (RSs) comes from the fact that they are used as part of more complex applications and affect user experience through a varied range of user interfaces.

Recommendation Systems

DAG Card is the new Model Card

3 code implementations24 Oct 2021 Jacopo Tagliabue, Ville Tuulos, Ciro Greco, Valay Dave

Following the intuition behind Model Cards, we propose DAG Cards as a form of documentation encompassing the tenets of a data-centric point of view.

SIGIR 2021 E-Commerce Workshop Data Challenge

3 code implementations19 Apr 2021 Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani

The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations".

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

no code implementations NAACL 2021 Federico Bianchi, Ciro Greco, Jacopo Tagliabue

We investigate grounded language learning through real-world data, by modelling a teacher-learner dynamics through the natural interactions occurring between users and search engines; in particular, we explore the emergence of semantic generalization from unsupervised dense representations outside of synthetic environments.

Grounded language learning

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

no code implementations20 Jul 2020 Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco

This paper addresses the challenge of leveraging multiple embedding spaces for multi-shop personalization, proving that zero-shot inference is possible by transferring shopping intent from one website to another without manual intervention.

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

no code implementations11 Mar 2020 Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi

We address the problem of personalizing query completion in a digital commerce setting, in which the bounce rate is typically high and recurring users are rare.

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

no code implementations22 Jul 2019 Ciro Greco, Andrea Polonioli, Jacopo Tagliabue

The claims that big data holds the key to enterprise successes and that Artificial Intelligence is going to replace humanity have become increasingly more popular over the past few years, both in academia and in the industry.

Small Data Image Classification

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

no code implementations3 Jul 2019 Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli

Knowing if a user is a buyer or window shopper solely based on clickstream data is of crucial importance for e-commerce platforms seeking to implement real-time accurate NBA (next best action) policies.


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

no code implementations30 Jun 2019 Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue

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 best action) policies.


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