posted by organizer: INRA2015 || 7618 views || tracked by 4 users: [display]

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

FacebookTwitterLinkedInGoogle

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

ADAH 2017   Advanced Data Analytics in Health
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”
IRJ-SI 2018   Information Retrieval Journal - Special Issue on “Social Media for Personalization and Search”
NOBIDS 2017   3rd Norwegian Big Data Symposium - Special Theme: Fake News
SLIE 2018   Semantic, Logics, Information Extraction and AI
LENS 2017   The 1st ACM SIGSPATIAL International Workshop on Analytics for Local Events and News (LENS 2017)
CIP in RS&OSN 2018   Computational Intelligence Paradigms in Recommender Systems and Online Social Networks
BDA4CID 2017   2017 International Workshop on Big Data Analytics for Cyber Intelligence and Defense
DCTA 2017   Data Analytics: Concepts, Techniques and Applications
ESIDA 2018   ESIDA 2018 : 2nd ACM IUI Workshop on Exploratory Search and Interactive Data Analytics