1.8k citations · 3.5k across the 58 of their papers we have counts for
5 papers · 1 filter
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories
Jacopo Tagliabue, Lucas Lacasa, Ciro Greco +2
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…
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…
Predicting success in the worldwide start-up network
Moreno Bonaventura, Valerio Ciotti, Pietro Panzarasa +3
By drawing on large-scale online data we construct and analyze the time-varying worldwide network of professional relationships among start-ups. The nodes of this network represent…
On the spectral properties of Feigenbaum graphs
Ryan Flanagan, Lucas Lacasa, Vincenzo Nicosia
A Horizontal Visibility Graph (HVG) is a simple graph extracted from an ordered sequence of real values, and this mapping has been used to provide a combinatorial encryption of tim…
Quantifying and predicting success in show business
Oliver E. Williams, Lucas Lacasa, Vito Latora
Recent studies in the science of success have shown that the highest-impact works of scientists or artists happen randomly and uniformly over the individual's career. Yet in certai…