CLEF NewsREEL 2016
Comparing Multi-Dimensional Offline and Online Evaluation of News Recommender Systems
B. Kille (Technical University of Berlin)
A. Lommatzsch (Technical University of Berlin)
F. Hopfgartner (University of Glasgow)
M. Larson (TU Delft - Multimedia Computing)
J. Seiler (Plista GmbH)
D. Malagoli (ContentWise R&D)
A. Sereny (ContentWise R&D)
T. Brodt (Plista GmbH)
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Abstract
Running in its third year at CLEF, NewsREEL challenged participantsto develop news recommendation algorithms and have them benchmarked inan online (Task 1) and offline setting (Task 2), respectively. This paper providesan overview of the NewsREEL scenario, outlines this year’s campaign, presentsresults of both tasks, and discusses the approaches of participating teams. Moreover,it overviews ideas on living lab evaluation that have been presented as partof a “New Ideas” track at the conference in Portugal. Presented results illustratepotentials for multi-dimensional evaluation of recommendation algorithms ina living lab and simulation based evaluation setting.
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