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INRA 2019 : 7th International Workshop on News Recommendation and Analytics

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Link: http://research.idi.ntnu.no/inra/
 
When Sep 16, 2019 - Sep 20, 2019
Where Copenhagen, Denmark
Submission Deadline Jul 12, 2019
Notification Due Jul 31, 2019
Categories    recommender systems   news recommendation   news analytics   fake news
 

Call For Papers

7th International Workshop on News Recommendation and Analytics (INRA 2019) will be held in conjunction with 13th ACM Conference on Recommender Systems (RecSys 2019) , 16-20 September 2019, Copenhagen, Denmark.

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.

Topics of interests for this workshop include but are not limited to:

• News Recommendation

– Innovative algorithms for news recommendation
– News context modelling
– Big data technologies for news streams
– Practical applications

• News Analytics

– News semantics and ontologies
– News summarisation, classification, and sentiment analysis
– Large-scale news mining and analytics
– News evolution and trends
– News from social media

• Ethical Aspects of News Recommendation

– Detection and analysis of fake news and disinformation
– News diversity and filter bubbles
– Privacy and security in news recommender systems
– Spread mechanisms of disinformation

Related Resources

Recommender Systems 2020   Data Science for Next-Generation Recommender Systems
INRA 2020   8th International Workshop on News Recommendation and Analytics
Recommender systems 2020   Scopus/Springer Special issue: Data Science for Next-Generation Recommender Systems with International Journal of Data Science and Analytics
NeuRec 2020   ICDM Workshop on Recommender Systems 2020
SI Algo Bias & Fairness 2020   Special Issue on Algorithmic Bias and Fairness in Search and Recommendation - Information Processing & Management (I.F. 3.892)
JDSA SI 2020   Springer Journal Special Issue on Data Science for Next-Generation Recommender Systems
FinancialNews&Data-IEEE-BigData 2020   The 4th IEEE International Workshop on Big Data for Financial News and Data
IRSMM 2020   MDPI Information Special Issue: Information Retrieval and Social Media Mining
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
AI, Data Analytics and Blockchain JIEM 2020   Emerging Trends and Impacts of the rise of AI, Data Analytics and Blockchain, Journal of Enterprise Information Management (JIEM, Q1)