CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education

@inproceedings{Lommatzsch2017CLEF2N,
  title={CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education},
  author={A. Lommatzsch and Benjamin Kille and F. Hopfgartner and M. Larson and Torben Brodt and J. Seiler and {\"O}zlem {\"O}zg{\"o}bek},
  booktitle={CLEF},
  year={2017}
}
News recommender systems provide users with access to news stories that they find interesting and relevant. As other online, stream-based recommender systems, they face particular challenges, including limited information on users’ preferences and also rapidly fluctuating item collections. In addition, technical aspects, such as response time and scalability, must be considered. Both algorithmic and technical considerations shape working requirements for real-world recommender systems in… Expand
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