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Dr. D.P. (David) Graus

Assistant Professor Information Retrieval & Natural Language Processing
Faculty of Science
ILLC
Area of expertise: information retrieval, natural language processing, recommender systems, artificial intelligence, legal AI
Visiting address
  • Science Park 900
  • Room number: L6.37
Postal address
Contact details
Social media
  • Profile

    David Graus is Assistant Professor in Information Retrieval and Natural Language Processing at the Institute for Logic, Language and Computation (ILLC), where he leads the ICAI OpenGov Lab. Before returning to academia in 2025, he worked several years in industry, most recently as Lead Data Scientist at Randstad and FD Mediagroep, focusing on AI-driven recommender systems, information retrieval, and responsible AI.

    David acquired his PhD in Information Retrieval from the University of Amsterdam in 2017, under supervision of prof. Dr. Maarten de Rijke. He holds a MSc. degree in Media Technology from Leiden University, and a BA degree in Media Studies from the University of Amsterdam.

    His research explores applied AI for information retrieval and NLP, with a focus on open government data, transparency, and societal impact. The ICAI OpenGov Lab, established in collaboration with the Rijksorganisatie voor Informatiehuishouding (RvIHH) and the Rijksorganisatie voor Ontwikkeling, Digilisering en Innovatie (RvODI), both at the Ministry of the Interior and Kingdom Relations (MinBZK), funds five PhD candidates over a six-year term and applies AI to open government data. David's projects include WooZM (formerly WooGLe), a search engine indexing over 11 million documents from 1,100+ Dutch public bodies, and WooPush, which proactively surfaces relevant local-government information to citizens. David supervises two of the lab's PhD candidates: Maik Larooij, on search across the Woo/FOIA lifecycle, and Damiaan Reijnaers, on explainable NLP for active disclosure. He teaches AI in Society (BSc Artificial Intelligence) and Reflection on the Digital Culture (BSc Information Science).

    For more details on publications and projects, visit graus.nu.

  • Publications

    2026

    • Parfenova, A., Graus, D., & Pfeffer, J. (2026). From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs. In R. Campos, A. Jatowt, Y. Lan, M. Aliannejadi, C. Bauer, S. MacAvaney, A. Anand, N. Bai, M. Mansoury, Z. Ren, & S. Verberne (Eds.), Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29–April 2, 2026 : proceedings (Vol. II, pp. 139-154). (Lecture Notes in Computer Science; Vol. 16484). Springer. https://doi.org/10.1007/978-3-032-21300-6_9 [details]
      • Downloads

    2025

    • Clarke, C. L. A., Kantor, P., Roegiest, A., Trippas, J. R., Ren, Z., Bucarelli, M. S., Fu, X., Fan, Y., Granitzer, M., Graus, D., Heuss, M., Kamps, J., Lei, Y., Parry, A., Reijnaers, D., de Rijke, M., Singh, S. A. K., Tang, Y., Verberne, S., ... Zhao, J. (2025). Report on the 2nd Search Futures Workshop at ECIR 2025. SIGIR Forum, 59(1). https://doi.org/10.1145/3769733.3769742 [details]
    • Fabris, A., Baranowska, N., Dennis, M. J., Graus, D., Hacker, P., Saldivar, J., Zuiderveen Borgesius, F., & Biega, A. J. (2025). Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. ACM Transactions on Intelligent Systems and Technology, 16(1), Article 16. https://doi.org/10.1145/3696457 [details]

    2024

    • Rink, L., Meijdam, J., & Graus, D. (2024). Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses. In E. Hruschka, T. Lake, N. Otani, & T. Mitchell (Eds.), The First Workshop on Natural Language Processing for Human Resources (NLP4HR 2024) : proceedings of the workshop: NLP4HR 2024 : March 22, 2024 (pp. 16-26). Association for Computational Linguistics. https://aclanthology.org/2024.nlp4hr-1.2/

    2023

    • Vrolijk, J., & Graus, D. (2023). Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. In M. Kaya, T. Bogers, D. Graus, C. Johnson, & J.-J. Decorte (Eds.), Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023): co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023) : Singapore, Singapore, 18th-22nd September 2023 Article 4 (CEUR Workshop Proceedings; Vol. 3490). CEUR-WS. https://ceur-ws.org/Vol-3490/RecSysHR2023-paper_4.pdf [details]

    2022

    • Arafan, A. M., Graus, D., Santos, F. P., & Beauxis-Aussalet, E. (2022). End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. In M. Kaya, T. Bogers, D. Graus, S. Mesbah, C. Johnson, & F. Gutiérrez (Eds.), Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022): co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022) : Seattle, USA, 18th-23rd September 2022 Article 6 (CEUR Workshop Proceedings; Vol. 3218). CEUR-WS. https://ceur-ws.org/Vol-3218/RecSysHR2022-paper_6.pdf [details]
    • Lorincz, A., Lavi, D., Graus, D., & Pereira, J. L. M. (2022). Transfer learning for multilingual vacancy text generation. In GEM 2022 - 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, Proceedings of the Workshop (pp. 207-222). (GEM 2022 - 2nd Workshop on Natural Language Generation, Evaluation, and Metrics, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.gem-1.18.pdf

    2021

    • Lavi, D., Medentsiy, V., & Graus, D. (2021). conSultantBERT: Fine-tuned siamese sentence-BERT for matching jobs and job seekers. In M. Kaya, T. Bogers, D. Graus, K. Verbert, & F. Gutiérrez (Eds.), The Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) (CEUR Workshop Proceedings; Vol. 2967). CEUR-WS. https://ceur-ws.org/Vol-2967/paper_8.pdf
    • de Groot, M., Schutte, J., & Graus, D. (2021). Job posting-enriched knowledge graph for skills-based matching. In Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) (Vol. 2967). CEUR-WS. https://ceur-ws.org/Vol-2967/paper_3.pdf

    2020

    • Berlage, O., Lux, K. M., & Graus, D. (2020). Improving Automated Segmentation of Radio Shows with Audio Embeddings. In 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings (pp. 751-755). Article 9054315 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP40776.2020.9054315
    • Lu, F., Dumitrache, A., & Graus, D. (2020). Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. In UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 145-153). Association for Computing Machinery. https://doi.org/10.1145/3340631.3394864

    2019

    • Sullivan, E., Bountouridis, D., Harambam, J., Najafian, S., Loecherbach, F., Makhortykh, M., Kelen, D., Wilkinson, D., Graus, D., & Tintarev, N. (2019). Reading news with a purpose: Explaining user profiles for self-actualization. In ACM UMAP '19 adjunct: adjunct publication of the 27th Conference on User Modeling, Adaptation and Personalization : June 9-12, 2019, Larnaca, Cyprus (pp. 241-245). The Association for Computing Machinery. https://doi.org/10.1145/3314183.3323456 [details]

    2018

    • Graus, D., Odijk, D., & de Rijke, M. (2018). The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams. Journal of the Association for Information Science and Technology, 69(6), 773-786. https://doi.org/10.1002/asi.24004 [details]

    2016

    • Graus, D., Bennett, P. N., White, R. W., & Horvitz, E. (2016). Analyzing and predicting task reminders. In UMAP'16: proceedings of the 2016 Conference on User Modeling Adaptation and Personalization : July 13-17, 2016, Halifax, Nova Scotia, Canada (pp. 7-15). The Association for Computing Machinery. https://doi.org/10.1145/2930238.2930239 [details]
    • Graus, D., Tsagkias, M., Weerkamp, W., Meij, E., & de Rijke, M. (2016). Dynamic collective entity representations for entity ranking. In WSDM'16 : proceedings of the Ninth ACM International Conference on Web Search and Data Mining : February 22-25, 2016, San Francisco, CA, USA (pp. 595-604). Association for Computing Machinery. https://doi.org/10.1145/2835776.2835819 [details]

    2015

    • Gârbacea, C., Odijk, D., Graus, D. P., Sijaranamual, I., & de Rijke, M. (2015). Combining multiple signals for semanticizing tweets: University of Amsterdam at #Microposts2015. In R. Rowe, M. Stankovic, & A.-S. Dadzie (Eds.), Proceedings of the the 5th Workshop on Making Sense of Microposts: co-located with the 24th International World Wide Web Conference (WWW 2015) : Florence, Italy, May 18th, 2015 (pp. 59-60). (CEUR Workshop Proceedings; Vol. 1395). CEUR-WS. http://ceur-ws.org/Vol-1395/paper_17.pdf [details]

    2014

    • Graus, D., Peetz, M.-H., Odijk, D., de Rooij, O., & de Rijke, M. (2014). yourHistory - Semantic linking for a personalized timeline of historic events. In M. d'Aquin, S. Dietze, H. Drachsler, M. Guy, & E. Herder (Eds.), Proceedings of the LinkedUp Veni Competition on Linked and Open Data for Education: held at the Open Knowledge Conference (OKCon 2013) : Geneva, Switzerland, September 17, 2013 Article 6 (CEUR Workshop Proceedings; Vol. 1124). CEUR-WS. http://ceur-ws.org/Vol-1124/linkedup_veni2013_07.pdf [details]
    • Graus, D., Tsagkias, M., Buitinck, L., & de Rijke, M. (2014). Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. Zhai, F. de Jong, K. Radinsky, & K. Hofmann (Eds.), Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings (pp. 286-298). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-06028-6_24 [details]
    • Graus, D., van Dijk, D., Tsagkias, M., Weerkamp, W., & de Rijke, M. (2014). Recipient Recommendation in Enterprises Using Communication Graphs and Email Content. In SIGIR '14: proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11 2014, Gold Coast, Queensland, Australia (pp. 1079-1082). ACM. https://doi.org/10.1145/2600428.2609514 [details]

    2013

    • Graus, D., Ren, Z., de Rijke, M., van Dijk, D., Henseler, H., & van der Knaap, N. (2013). Semantic Search in E-Discovery: An Interdisciplinary Approach. In ICAIL 2013 Workshop on Standards for Using Predictive Coding, Machine Learning, and Other Advanced Search and Review Methods in E-Discovery (DESI V Workshop): June 14, 2013, Casa dell'Aviatore, viale dell'Universita 20, Rome, Italy. Papers University of Maryland Institute for Advanced Computer Studies. http://www.umiacs.umd.edu/~oard/desi5/additional/Graus.pdf [details]
    • Kenter, T., Graus, D., Meij, E., & de Rijke, M. (2013). Time-Aware Chi-squared for Document Filtering over Time. In SIGIR 2013 Workshop on Time-aware Information Access: #TAIA2013: August 1, 2013 (pp. [18-21]). Microsoft Research. http://research.microsoft.com/en-us/people/milads/taia2013.proceedings.final.pdf [details]
    • Ren, Z., van Dijk, D., Graus, D., van der Knaap, N., Henseler, H., & de Rijke, M. (2013). Semantic Linking and Contextualization for Social Forensic Text Analysis. In J. Brynielsson, & F. Johansson (Eds.), EISIC 2013: 2013 European Intelligence and Security Informatics Conference: proceedings: 12-14 August 2013, Uppsala, Sweden (pp. 96-99). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/EISIC.2013.21 [details]

    2012

    2016

    • de Rijke, M., & Graus, D. (2016). Wij zijn racisten, en daarom Google ook. NRC Handelsblad, 16. [details]

    2017

    • Graus, D. P. (2017). Entities of interest: Discovery in digital traces. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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