Workshop and challenge on news recommender systems

Authors:
Mozhgan Tavakolifard;Jon Atle Gulla;Kevin C. Almeroth;Frank Hopfgartner;Benjamin Kille;Till Plumbaum;Andreas Lommatzsch;Torben Brodt;Arthur Bucko;Tobias Heintz
Affiliations:
Norwegian University of Science & Technology, Trondheim, Norway;Norwegian University of Science & Technology, Trondheim, Norway;University of California, Santa Barbara, Santa Barbara, CA, USA;Technical University Berlin, Berlin, Germany;Technical University Berlin, Berlin, Germany;Technical University Berlin, Berlin, Germany;Technical University Berlin, Berlin, Germany;plista GmbH, Berlin, Germany;plista GmbH, Berlin, Germany;plista GmbH, Berlin, Germany
Venue:
Proceedings of the 7th ACM conference on Recommender systems
Year:
2013

Citing 13
Cited 3

GroupLens: an open architecture for collaborative filtering of netnews

CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
User Modeling for Adaptive News Access

User Modeling and User-Adapted Interaction
Newsjunkie: providing personalized newsfeeds via analysis of information novelty

Proceedings of the 13th international conference on World Wide Web
Google news personalization: scalable online collaborative filtering

Proceedings of the 16th international conference on World Wide Web
Introducing Serendipity in a Content-Based Recommender System

HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Personalized news recommendation based on click behavior

Proceedings of the 15th international conference on Intelligent user interfaces
Real-time news recommender system

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
A Proactive Personalized Mobile News Recommendation System

DESE '10 Proceedings of the 2010 Developments in E-systems Engineering
Learning to model relatedness for news recommendation

Proceedings of the 20th international conference on World wide web
SCENE: a scalable two-stage personalized news recommendation system

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A hybrid approach for personalized recommendation of news on the Web

Expert Systems with Applications: An International Journal
PRemiSE: personalized news recommendation via implicit social experts

Proceedings of the 21st ACM international conference on Information and knowledge management
Personalized news recommendation with context trees

Proceedings of the 7th ACM conference on Recommender systems

The plista dataset

Proceedings of the 2013 International News Recommender Systems Workshop and Challenge
Do recommendations matter?: news recommendation in real life

Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems

ACM SIGIR Forum

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recommending news articles entails additional requirements to recommender systems. Such requirements include special consumption patterns, fluctuating itemcollections, and highly sparse user profiles. This workshop (NRS'13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback.