The news domain is characterized by a constant flow of unstructured, fragmentary, and unreliable news stories from numerous sources and different perspectives. Finding the right 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. This workshop addresses primarily news recommender systems and news analytics, with a particular focus on user profiling and techniques for dealing with and extracting knowledge from large-scale news streams. The news streams may originate in large media companies, but may also come from social sites, where user models are needed to decide how user-generated content is to be taken into account.
As part of news recommendation and analytics, Big Data architectures and large-scale statistical and linguistic techniques are used to extract aggregated knowledge from large news streams and prepare for personalized access to news.
Topics of interests for this workshop include but are not limited to:
The International Workshop on News Recommendation and Analytics (NRA 2014) will be held in conjunction with 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014) on 7-11 July 2014 in Aalborg, Denmark. The workshop duration is half a day and it will include presentations of selected papers (4-5 papers) and an invited keynote speaker from industry. Accepted papers will be published online in a CEUR workshop proceedings. Please check the submission details.
1 April 2014 15 April 2014