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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...
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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 ...
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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...