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  1. No Access

    Chapter and Conference Paper

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

    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...

    Andreas Lommatzsch, Benjamin Kille… in Experimental IR Meets Multilinguality, Mul… (2017)

  2. No Access

    Chapter and Conference Paper

    Overview of NewsREEL’16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms

    Successful news recommendation requires facing the challenges of dynamic item sets, contextual item relevance, and of fulfilling non-functional requirements, such as response time. The CLEF NewsREEL challenge ...

    Benjamin Kille, Andreas Lommatzsch… in Experimental IR Meets Multilinguality, Mul… (2016)

  3. No Access

    Chapter and Conference Paper

    Stream-Based Recommendations: Online and Offline Evaluation as a Service

    Providing high-quality news recommendations is a challenging task because the set of potentially relevant news items changes continuously, the relevance of news highly depends on the context, and there are tig...

    Benjamin Kille, Andreas Lommatzsch… in Experimental IR Meets Multilinguality, Mul… (2015)