RecSys in HR Workshop Recording available
October 29, 2021
For those who missed it — like myself 😏 — we have now published the full recording of our Recommender Systems in Human Resources (RecSys in HR) Workshop, which was held on October 1st, in conjunction with the ACM RecSys Conference in Amsterdam. Our workshop included two keynotes, eight paper presentations, breakout sessions, a virtual panel on […]
Algorithmic bias and bias mitigation talk at the anti-discrimination hackathon
November 2, 2020
That was fun! The Online Anti-Discrimination Hackathon ran last weekend, a hakacthon co-organized by Ministerie van OCW, Inspectie SZW, Ministerie van BZK, and Hackathon Factory which revolved around “gender discrimination in data collection and labeling for automated assessment and selection of candidates.” Having ample experience in designing and developing AI-powered candidate selection systems, and the […]
“Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation” accepted at UMAP2020!
April 21, 2020
The paper we wrote with former FD team mates Feng Lu and Anca Dumitrache has been accepted for publication as a long paper at UMAP 2020, the 28th Conference on User Modeling, Adaptation and Personalization! (I fondly remember my last time at UMAP, in 2016 😏) We have published a preprint of this paper, get […]
“RecSys in the Media Industry” Lecture at RecSys Summer School
September 11, 2019
With Daan Odijk I gave a lecture + hands-on workshop at the ACM Summer School on Recommender Systems in Gothenburg, Sweden on RecSys in the Media Industry: Relevance, Recency, Popularity, and Diversity. For it, we had a long (90+ min) lecture combining insights, experiences, and projects from our work at RTL and Blendle (Daan), and […]
Reading News with a Purpose: Explaining User Profiles for Self-Actualization
April 10, 2019
Really excited to have co-authored “Reading News with a Purpose,” which was accepted at the International Workshop on Transparent Personalization Methods based on Heterogeneous Personal Data (ExHUM), at UMAP 2019! With the largest list of authors (ranging from philosophers via polcomm researchers to computer scientists), from a wide array of institutions; Emily Sullivan, Dimitrios Bountouridis, […]
Position paper ““Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles”
November 11, 2018
Our position paper ““Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles” was accepted at the 2nd FATREC Workshop on Responsible Recommendation, held at RecSys ’18! In this paper, we detail some our ideas and approaches of providing transparency in recommendations through displaying the user profiles, used ‘internally’ by […]