Demo Paper: “SMART Radio: Personalized News Radio”
November 21, 2018
We’re demo’ing SMART Radio at The 17th Dutch-Belgian Information Retrieval workshop (DIR 2018). We wrote a short paper titled “SMART Radio: Personalized News Radio” to accompany the demo, read it by clicking below!
LLMs for Axial Coding ECIR 2026 preprint available
January 15, 2026
Social scientists have been manually coding (labeling text segments to capture their essence, and clustering these labels into groups) large textual corpora for decades. Time that could have been spent doing research, annotating fire hydrants for Google Streetview, or spending time with loved ones. For this reason and more, in our latest paper we turn […]
LLMs for Axial Coding paper accepted at ECIR2026!
December 20, 2025
Super happy with the acceptance of our ECIR 2026 Findings paper: “From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs“ In this work we apply fine-tuned LLMs for qualitative data analysis (axial coding) of Dutch political debates. This is work led by Angelina Parfenova (Technical University of Munich), who I met at […]
“Fairness and Bias in Algorithmic Hiring” Survey Paper published in ACM TIST
September 24, 2024
The aforementioned survey paper on fairness and bias in algorithmic hiring, in which I contributed a section on bias measurement and mitigation in practice, has been accepted for publication in ACM Transactions on Intelligent Systems and Technology (TIST)! The paper is published open access, and is currently to be found in the “Just accepted” section […]
“Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey” preprint available
April 9, 2024
Together with some of the researchers in FINDHR we have authored and submitted an extensive survey on algorithmic hiring. The preprint is available here: In this multidisciplinary work we bring together different perspectives from computer science, law, and practitioners to extensively survey literature and classify so-called “bias conducive factors,” i.e., factors that contribute to bias […]
“Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses” accepted at NLP4HR workshop at EACL2024
February 1, 2024
Lois Rink, our former MSc data science intern at Randstad Groep Nederland, has published her thesis at the 1st Workshop on Natural Language Processing for Human Resources (NLP4HR), to be held at EACL 2024. Lois’ thesis is titled Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses, and was written under supervision of Job Meijdam and […]
Three papers accepted at RecSys in HR 2023
August 28, 2023
For this year’s edition (the third in a row) of the Recommender Systems in Human Resources workshop, to be held at the ACM RecSys Conference in Singapore, I co-authored three accepted papers: Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variant This paper is based on the MSc Data Science thesis of […]
“Transfer learning for multilingual vacancy text generation” preprint available
November 1, 2022
Anna Lőrincz‘ UvA MSc. data science thesis “Transfer learning for multilingual vacancy text generation” — which was graded a 9/10 💫 — was recently accepted at the The Second Version of Generation, Evaluation & Metrics (GEM) Workshop 2022 which will be held as part of EMNLP, December 7-11, 2022! Get the pre-print here: In her work, Anna explores […]
Two papers accepted at CompJobs ’22
February 3, 2022
We have two papers accepted at “The First International Workshop on Computational Jobs Marketplace“, co-located with WSDM 2022. Both papers are based on work done by two of our former thesis interns at Randstad Groep Nederland! ☝️ Ninande Vermeer worked under supervision of Sepideh Mesbah and Vera Provatorova (UvA) on: “Using RobBERT and eXtreme Multi-Label Classification to Extract Implicit and Explicit Skills […]
“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 […]
Improving automated segmentation of radio shows with audio embeddings published @ IEEE ICASSP2020
February 12, 2020
Oberon Berlage’s MSc. thesis: “Improving automated segmentation of radio shows with audio embeddings” which he wrote under my supervision during his internship at FD Mediagroep was awarded a 9/10, under condition that the work was publishable. Turns out it was, as it was recently accepted at IEEE ICASSP2020 (the 45th International Conference on Acoustics, Speech, […]
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 […]
Pre-print of position paper “SMART Journalism: Personalizing, Summarizing, and Recommending Financial Economic News”
June 1, 2018
Our position paper “SMART Journalism: Personalizing, Summarizing, and Recommending Financial Economic News” was accepted at Algorithmic Personalization and News (APEN18) workshop, held at ICWSM ’18! In this paper, we detail some of the ideas and opportunities of personalization in the domain of financial economic news. Read the pre-print below! M. Sappelli, D. M. Chu, B. Cambel, J. […]
“The birth of collective memories” published in JASIST!
February 5, 2018
The journal paper “The birth of collective memories: Analyzing emerging entities in text streams” I wrote with Daan Odijk and Maarten de Rijke is now (finally) published at JASIST! It is published under OpenAccess/CC BY 4.0 and available in “early view” (published before it’s published) in the Wiley Online Library. Click on the image below […]

Papers

Demo Paper: “SMART Radio: Personalized News Radio”

We’re demo’ing SMART Radio at The 17th Dutch-Belgian Information Retrieval workshop (DIR 2018). We wrote a short paper titled “SMART Radio: Personalized News Radio” to accompany the demo, read it by clicking below!

Demo Paper: “SMART Radio: Personalized News Radio”

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