Blendle’s mission is to help our users discover and support the world’s best journalism. Our research is focused on the discovery part and tackles challenging problems in Machine Learning, Natural Language Processing and Data Science. We believe in a tight collaboration between our journalists and researchers. Our researchers are constantly improving the algorithms which select the best and most interesting articles for over a million users, using input from our journalists.
The paper “Do News Consumers Want Explanations for Personalized News Rankings?”, by Maartje Ter Hoeve (University of Amsterdam, Blendle), Mathieu Heruer (Blendle), Daan Odijk (Blendle), Anne Schuth (Blendle), Martijn Spitters (Blendle), Ron Mulder (Blendle), Nick van der Wildt (Blendle), and Maarten de Rijke (University of Amsterdam), was accepter at FATREC 2017, the workshop on Responsible Recommendation at … More FATREC paper on explaining personalized rankings was accepted