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14.00 – 14.05 Welcome
14.40 – 14.50 Public Service Media, Diversity and Algorithmic Recommendation: Tensions between Editorial Principles and Algorithms in European PSM Organizations, Jannick Kirk Sørensen
14.50 – 15.00 Semi-supervised sentiment analysis for under-resourced languages with a sentiment lexicon, Peng Liu, Cristina Marco and Jon Atle Gulla
15.00 – 15.10 On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems, Gabriel De Souza P. Moreira, Dietmar Jannach and Adilson Marques Da Cunha
15.10 – 15.20 Defining a Meaningful Baseline for News Recommender Systems, Benjamin Kille and Andreas Lommatzsch
15.20 – 15.30 On-the-Fly News Recommendation Using Sequential Patterns, Mozhgan Karimi, Boris Cule and Bart Goethals
15.30 – 16.00 Break + posters
16.00-16.18 Giveme5W1H: A Universal System for Extracting Main Events from News Articles, Felix Hamborg, Corinna Breitinger and Bela Gipp
16.18-16.36 Recommendation systems for news articles at the BBC, Maria Panteli, Alessandro Piscopo, Adam Harland, Jonathan Tutcher and Felix Mercer Moss
16.36-16.54 Trend-responsive user segmentation enabling traceable publishing insights. A case study of a real-world large-scale news recommendation system, Joanna Misztal-Radecka, Dominik Rusiecki, Michał Żmuda and Artur Bujak
16.54-17.12 Enriched Network Embeddings for News Recommendation, Janu Verma
17.12-17.30 Leveraging Emotion Features in News Recommendations, Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An and Manos Papagelis