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INRA 2017 : 5th International Workshop on News Recommendation and Analytics

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Link: http://research.idi.ntnu.no/inra/
 
When Aug 23, 2017 - Aug 26, 2017
Where Leipzig, Germany
Submission Deadline May 21, 2017
Notification Due May 29, 2017
Final Version Due Jun 19, 2017
Categories    recommender systems   news recommendation   semantics   analytics
 

Call For Papers

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 include but are not limited to:

- News semantics and ontologies
- News summarization, classification and sentiment analysis
- Recommender systems and news personalization
- Group recommendation for news
- User profiling and news context modeling
- Real time news recommendations
- News evolution and trends
- Large-scale news mining and analytics
- Evaluation methods
- News from social media
- Big Data technologies for news streams
- News recommendation and analytics on mobile platforms
- Privacy in news recommender systems
- Gamification in news recommender systems
- News diversity
- Detection and analysis of fake and/or trusted news

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
BDTA 2020   (Virtual) 10th EAI International Conference on Big Data Technologies and Applications
DATA ANALYTICS 2020   The Ninth International Conference on Data Analytics
NeuRec 2020   ICDM Workshop on Recommender Systems 2020
Social Media 2020   IEEE International Conference on Social Media, Wearable and Web Analytics
AESPEN 2020   Automated Extraction of Socio-political Events from News (AESPEN) @ LREC 2020
ICMR 2020   ACM International Conference on Multimedia Retrieval
eBISS 2020   10th European Big Data Management & Analytics Summer School