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Giovanni Cassani

Tilburg University, School of Humanities and Digital Sciences, Department of Cognitive Science and Artificial Intelligence

4 papers hereh-index 8190 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.CL1
  • cs.LG1
affiliations
  • Tilburg University, School of Humanities and Digital Sciences, Department of Cognitive Science and Artificial Intelligence
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedSIGIR 2021 E-Commerce Workshop Data Challenge

12 citations · 17 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Births are difficult to predict even with rich survey and full-population register data

Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109

Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…

cs.CL2023

Native Language Identification with Big Bird Embeddings

Sergey Kramp, Giovanni Cassani, Chris Emmery

Native Language Identification (NLI) intends to classify an author's native language based on their writing in another language. Historically, the task has heavily relied on time-c…

cs.IR2021★ 12 cited

SIGIR 2021 E-Commerce Workshop Data Challenge

Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy +4

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

cs.IR2019★ 5 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.