7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.IR2020★ 7 cited
CuratorNet: Visually-aware Recommendation of Art Images
Pablo Messina, Manuel Cartagena, Patricio Cerda-Mardini +2
Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent…
cs.LG2019
Encoding high-cardinality string categorical variables
Patricio Cerda, Gaël Varoquaux
Statistical models usually require vector representations of categorical variables, using for instance one-hot encoding. This strategy breaks down when the number of categories gro…
cs.LG2018
Similarity encoding for learning with dirty categorical variables
Patricio Cerda, Gaël Varoquaux, Balázs Kégl
For statistical learning, categorical variables in a table are usually considered as discrete entities and encoded separately to feature vectors, e.g., with one-hot encoding. "Dirt…