The paper we wrote with former FD team mates Feng Lu and Anca Dumitrache has been accepted for publication as a long paper at the 28th Conference on User Modeling, Adaptation and Personalization (UMAP 2020)!
(I fondly remember my last time at UMAP, in 2016 😏)
I am particularly happy with this work because:
1️⃣ In our paper we show how you can align algorithm design across stakeholders (in this case: data scientists and journalists), by effectively modeling an editorial value (“dynamicness”) in the news recommender of Het Financieele Dagblad without losing accuracy.
2️⃣ We present (more) empirical proof that #recsys (can) offer(s) users *more* diverse, serendipitous, and dynamic lists of articles, compared to editorially curated lists, and hence (can) help in *avoiding*, not creating filter bubbles!
3️⃣ It is the perfect wrap-up of our Google DNI-funded “SMART Journalism” project at FD Mediagroep (we wrote most of the paper in our spare time after the project ended).
I’ll share a pre-print here when it’s done!