Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab

AutorBenjamin Kille, Andreas Lommatzsch, Roberto Turrin, Andras Sereny, Martha Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner
QuelleWorking Notes for the CLEF 2015 Conference 
LinksBibTeX   |   Uni-Bibliothek 

News reader struggle as they face ever increasing numbers of articles. Digital news portals are becoming more and more popular. They route news items to visitors as soon as they are published. The rapid rate at which new news is published gives rise to a selection problem, since the capacity of new portal videos to absorb news is limited. To address this problem, new portals deploy news recommender systems in order to support their visitors in selecting items to read. This paper summarizes the settings and results of CLEF NewsREEL 2015. The lab challenged participants to compete in either a "living lab" (Task 1) or an evaluation that replayed recorded streams (Task 2). The goal was to create an algorithm that was able to generate news items that users would click, respecting a strict time constraint.