Blendle Research

Research at Blendle

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.

FATREC paper on explaining personalized rankings was accepted

July 19, 2017

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

Jetse Koopmans

April 3, 2017

Today Jetse Koopmans joined Blendle Research. Jetse will be working with Arno Veenstra on clustering of articles.

A Blendle Publication on Effective Headlines

February 4, 2017

Jeffrey Kuiken (University of Amsterdam, Blendle Research), Anne Schuth (Blendle Research), Martijn Spitters (Blendle Research), and Maarten Marx (University of Amsterdam) published their paper “Effective Headlines of Newspaper Articles in a Digital Environment”.