Do Better ImageNet Models Transfer Better... for Image Recommendation?

no code implementations • 25 Jul 2018 • Felipe del Rio, Pablo Messina, Vicente Dominguez, Denis Parra

Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e. g. NASNet vs. ResNet).

Recommendation Systems Transfer Learning

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation

no code implementations • 22 Jun 2017 • Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto

Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.

pyRecLab: A Software Library for Quick Prototyping of Recommender Systems

1 code implementation • 20 Jun 2017 • Gabriel Sepulveda, Vicente Dominguez, Denis Parra

This paper introduces pyRecLab, a software library written in C++ with Python bindings which allows to quickly train, test and develop recommender systems.

Recommendation Systems

Exploring Content-based Artwork Recommendation with Metadata and Visual Features

no code implementations • 19 Jun 2017 • Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto

Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market.