most citedPersonalization, Privacy, and Me

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2021

The Joy of Neural Painting

Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim

Neural Painters is a class of models that follows a GAN framework to generate brushstrokes, which are then composed to create paintings. GANs are great generative models for AI Art…

cs.CY2021★ 1 cited

Personalization, Privacy, and Me

Reshma Narayanan Kutty, Claudia Orellana-Rodriguez, Igor Brigadir +1

News recommendation and personalization is not a solved problem. People are growing concerned of their data being collected in excess in the name of personalization and the usage o…

cs.DL2021

NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers

Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir +1

Newsletters have (re-) emerged as a powerful tool for publishers to engage with their readers directly and more effectively. Despite the diversity in their audiences, publishers' n…

cs.CY2017

On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools

Georgiana Ifrim, Derek Greene, Mark T. Keane +3

Since 2013 researchers at University College Dublin in the Insight Centre for Data Analytics have been involved in a significant research programme in digital journalism, specifica…

cs.CL2017

Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines

Terrence Szymanski, Claudia Orellana-Rodriguez, Mark T. Keane

We present a software tool that employs state-of-the-art natural language processing (NLP) and machine learning techniques to help newspaper editors compose effective headlines for…