41 citations · 63 across the 5 of their papers we have counts for
6 papers
A Hierarchical Bayesian Model for Size Recommendation in Fashion
Romain Guigourès, Yuen King Ho, Evgenii Koriagin +3
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion. Our approach jointly models a size purchased by a cust…
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin +4
Personalized size and fit recommendations bear crucial significance for any fashion e-commerce platform. Predicting the correct fit drives customer satisfaction and benefits the bu…
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images
Nour Karessli, Romain Guigourès, Reza Shirvany
Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches addressing this problem are based on statistical methods relying on historical data of a…
Cats & Co: Categorical Time Series Coclustering
Dominique Gay, Romain Guigourès, Marc Boullé +1
We suggest a novel method of clustering and exploratory analysis of temporal event sequences data (also known as categorical time series) based on three-dimensional data grid model…
Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models
Romain Guigourès, Dominique Gay, Marc Boullé +2
Call Detail Records (CDRs) are data recorded by telecommunications companies, consisting of basic informations related to several dimensions of the calls made through the network:…
A Triclustering Approach for Time Evolving Graphs
Romain Guigourès, Marc Boullé, Fabrice Rossi
This paper introduces a novel technique to track structures in time evolving graphs. The method is based on a parameter free approach for three-dimensional co-clustering of the sou…