Workshop and Challenge on News Recommender Systems
Recommending news articles entails additional requirements to recommender systems. Such requirements include special con- sumption patterns, fluctuating item collections, 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.
Published in: Proceedings of the 7th ACM conference on Recommender systems, 10.1145/2507157.2508004, Association for Computing Machinery (ACM)