Conference Papers

Baseline Algorithms for Predicting the Interest in News based on Multimedia-Data

AuthorAndreas Lommatzsch, Benjamin Kille
SourceNewsREEL Multimedia @ MediaEval 2018, Sophia Antipolis, France, October 31, 2018 
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The analysis of images in the context of recommender systems is a challenging research topic. NewsREEL Multimedia enables researchers to study new algorithms with a large dataset. The dataset comprises news items and the number of impressions as a proxy for interestingness. Each news article comes with textual and image features. This paper presents data characteristics and baseline prediction models. We discuss the performance of these predictors.