no code implementations • ECNLP (ACL) 2022 • Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Goncalves
Product discovery is a crucial component for online shopping.
no code implementations • 22 Apr 2023 • Jacopo Tagliabue, Ciro Greco
As ecommerce continues growing, huge investments in ML and NLP for Information Retrieval are following.
1 code implementation • 20 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.
1 code implementation • 14 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.
1 code implementation • 12 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.
1 code implementation • Scientific Reports 2022 • Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Goncalves, Ciro Greco, Jacopo Tagliabue
The steady rise of online shopping goes hand in hand with the development of increasingly complex ML and NLP models.
no code implementations • 5 Apr 2022 • Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Goncalves
Product discovery is a crucial component for online shopping.
3 code implementations • 24 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.
3 code implementations • 19 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".
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.
no code implementations • 20 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.
no code implementations • 11 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.
no code implementations • 22 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.
no code implementations • 3 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.
no code implementations • 30 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.