Benchmarking News Recommendations: The CLEF NewsREEL Use Case

@article{Hopfgartner2016BenchmarkingNR,
  title={Benchmarking News Recommendations: The CLEF NewsREEL Use Case},
  author={F. Hopfgartner and Torben Brodt and J. Seiler and Benjamin Kille and A. Lommatzsch and M. Larson and R. Turrin and Andr{\'a}s Ser{\'e}ny},
  journal={SIGIR Forum},
  year={2016},
  volume={49},
  pages={129-136}
}
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and optimize news recommender algorithms. The goal is to create an algorithm that is able to generate news items that users would click, respecting a strict time constraint. The lab challenges participants to compete in either a "living lab" (Task 1) or perform an evaluation that replays recorded streams (Task 2). In this report, we discuss the objectives and challenges of the NewsREEL lab… Expand
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