Why am I reading this? Explaining Personalized News Recommender Systems
Date
2023Author
Arnórsson, Sverrir
Abeillon, Florian
Al-Hazwani, Ibrahim
Hauptmann, Hanna
El-Assady, Mennatallah
Metadata
Show full item recordAbstract
Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this in mind, we present the visual workspace NewsRecXplain, with the goals of (1) explaining and raising awareness about recommender systems, (2) enabling individuals to control and customize news recommendations, and (3) empowering users to contextualize their news recommendations to escape from their filter bubbles. This visual workspace achieves these goals by allowing users to configure their own individualized recommender system, whose news recommendations can then be explained within the workspace by way of embeddings and statistics on content diversity.
BibTeX
@inproceedings {10.2312:eurova.20231099,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Angelini, Marco and El-Assady, Mennatallah},
title = {{Why am I reading this? Explaining Personalized News Recommender Systems}},
author = {Arnórsson, Sverrir and Abeillon, Florian and Al-Hazwani, Ibrahim and Bernard, Jürgen and Hauptmann, Hanna and El-Assady, Mennatallah},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-222-6},
DOI = {10.2312/eurova.20231099}
}
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Angelini, Marco and El-Assady, Mennatallah},
title = {{Why am I reading this? Explaining Personalized News Recommender Systems}},
author = {Arnórsson, Sverrir and Abeillon, Florian and Al-Hazwani, Ibrahim and Bernard, Jürgen and Hauptmann, Hanna and El-Assady, Mennatallah},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-222-6},
DOI = {10.2312/eurova.20231099}
}