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NRS 2013 : International News Recommender Systems Workshop and Challenge


When Oct 13, 2013 - Oct 13, 2013
Where Hong Kong
Submission Deadline Aug 1, 2013
Notification Due Aug 20, 2013
Final Version Due Aug 30, 2013
Categories    recommender systems   NEWS   evaluation   personalization

Call For Papers

(Apologies for Multiple copies)

International News Recommender Systems Workshop and Challenge (NRS 2013)

Co-located with the 7th ACM Recommender System Conference (RecSys 2013)
October 12-16, 2013, Hong Kong

Recommending news articles entails additional requirements to recommender systems. Such requirements include special consumption patterns, fluctuating item collections and highly sparse user profiles. This workshop intends to bring together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we will offer a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback.

The workshop will focus on, but not limited to, the following areas:

- Recommendation techniques;
- Tracking of news evolution;
- Evaluation approaches;
- The interplay of news and social-media data;
- User interface issues;
- News mining and analytics;
- News reader behavioral models;
- Semantic and news context analysis;
- User profiling and preference elicitation;
- News recommendations on mobile platforms;
- Information retrieval in news collections.

-- Important Dates
- July 21, 2013: Paper submission
- July 1, 2013: data set release (Challenge)
- August 20, 2013: Paper notification
- August 30, 2013: Paper camera-ready submission
- August 15, 2013: Start of the online competition (Challenge)

-- Submission Format
The proceedings of NRS 2013 will be published in the ACM Digital Library within its International Conference Proceedings Series. We will also publish the workshop proceedings on the platform. CEUR is a free open-access publication service and a recognized ISSN publication series. We invite the submission of papers reporting original research, studies, advances, experiences, or work in progress in this area. Three submission types are accepted:
- Full technical papers (8 pages);
- Short technical papers (4 pages);
- Challenge contributions.

-- Workshop Organizers
- Jon Atle Gulla,, NTNU, Norway;
- Kevin C. Almeroth,, UCSB, USA;
- Mozhgan Tavakolifard,, NTNU, Norway;
- Frank Hopfgartner,, TUB, Germany;

-- Challenge Organizers
Till Plumbaum,, TUB, Germany;
Benjamin Kille,, TUB, Germany;
Andreas Lommatzsch,, TUB, Germany;
Torben Brodt,, plista GmbH;
Arthur Bucko,, plista GmbH;
Tobias Heintz,, plista GmbH;


Related Resources

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RecSys@FLAIRS 2020   Recommender Systems Track at FLAIRS Conference
UMAP 2020   ACM International Conference on User Modeling, Adaptation and Personalization
INRA 2019   7th International Workshop on News Recommendation and Analytics
IROS 2020   International Conference on Intelligent Robots and Systems
RecNLP 2019   The AAAI 2019 Workshop on Recommender Systems and Natural Language Processing
UMUAI FatRec 2019   UMUAI Special issue on: Fair, Accountable, and Transparent Recommender Systems
FinancialNews&Data-IEEE-BigData 2019   The 3rd International Workshop on Big Data for Financial News and Data
ICDCS 2020   International Conference on Distributed Computing Systems
WTDSI-SBSI 2019   Workshop de Teses e Dissertações em Sistemas de Informação