Abstract

The news domain is characterized by a constant flow of unstructured, fragmentary, and unreliable news stories from numerous sources and different perspectives. Compared to recommender systems in domains like music, movies and books, news recommender systems pose some particular challenges that call for new and deeper analyses of both users and content. Quickly finding relevant information, either in terms of individual news stories or aggregated knowledge from analyzing entire news streams, is a tremendous challenge that necessitates a wide range of technologies and a deep understanding of user preferences, news contents, and their relationships. The spread of increasing concerns about disinformation coupled with privacy violations necessitates improving news recommender systems. This workshop primarily addresses news recommender systems and analytics. The news ecosystem engulfs a variety of actors including publishers, journalists, and readers. The news may originate in large media companies or digital social networks. INRA aims to connect researchers, media companies, and practitioners to exchange ideas about creating and maintaining a reliable and sustainable environment for digital news production and consumption. In this year’s edition, we focus on three main categories: News recommendation, news analytics, and ethical aspects of news recommendation.

@inproceedings{OzgobekEtAl:INRA2019-Overview,
author = {\"Ozg\"obek, \"Ozlem and Benjamin Kille and Jon Atle Gulla and Andreas Lommatzsch},
title = {9th International Workshop on News Recommendation and Analytics (INRA 2019)},
booktitle= {RecSys Workshop Proceedings},
year = {2019},
location = {Copenhagen, Denmark},
publisher = {CEUR Workshop Proceedings},
numpages = {2},
isbn = {ISSN 1613-0073},
url = {http://ceur-ws.org/Vol-2554/preface.pdf},
}