Searched for: subject%3A%22Recommender%255C%252BSystems%22
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Kille, Benjamin (author), Lommatzsch, Andreas (author), Hopfgartner, Frank (author), Larson, M.A. (author), Brodt, Torben (author)
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both online (NewsREEL Live) and offline (News-REEL Replay). Compared with the previous year NewsREEL challenged participants with a higher volume of messages and new news portals. In the 2017 edition of the CLEF NewsREEL challenge a wide variety of new...
conference paper 2017
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Kille, Benjamin (author), Lommatzsch, Andreas (author), Hopfgartner, Frank (author), Larson, M.A. (author), de Vries, A.P. (author)
Recommender System research has evolved to focus on developing algorithms capable of high performance in online systems. This development calls for a new evaluation infrastructure that supports multi-dimensional evaluation of recommender systems. Today’s researchers should analyze algorithms with respect to a variety of aspects including...
conference paper 2017