activity
20152023
most citedComparing Neural and Attractiveness-based Visual Features for Artwork Recommendation

15 citations · 55 across the 10 of their papers we have counts for

collaborators
Showing cs.IRShow all

5 papers · 1 filter

cs.IR20207 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.IR20202 cited

Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper

Wikipedia is edited by volunteer editors around the world. Considering the large amount of existing content (e.g. over 5M articles in English Wikipedia), deciding what to edit next…

cs.IR202013 cited

Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games

Andrés Villa, Vladimir Araujo, Francisca Cattan +1

The video game industry has adopted recommendation systems to boost users interest with a focus on game sales. Other exciting applications within video games are those that help th…

cs.IR201715 cited

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation

Vicente Dominguez, Pablo Messina, Denis Parra +3

Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation. Recent works have shown that visual fe…

cs.IR20177 cited

Exploring Content-based Artwork Recommendation with Metadata and Visual Features

Pablo Messina, Vicente Dominguez, Denis Parra +2

Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market. Previous research has relied on ratings and meta…