Dr. D.P. (David) Graus

Universitair Docent Zoektechnologie en Natuurlijke Taalverwerking

Faculteit der Natuurwetenschappen, Wiskunde en Informatica

ILLC

Expertisegebied: zoektechnologie, aanbevelingssystemen, natuurlijke taalverwerking, kunstmatige intelligentie

Bezoekadres

Science Park 900

Postadres

Postbus 94242
1090 GE Amsterdam

Contactgegevens

d.p.graus@uva.nl

Social media

Profiel

David Graus is universitair docent Zoektechnologie en Natuurlijk Taalverwerking aan het Institute for Logic, Language and Computation (ILLC), waar hij leiding geeft aan het OpenGov ICAI Lab. Voordat hij terugkeerde naar de academische wereld, werkte hij enkele jaren in het bedrijfsleven, meest recent als Lead Data Scientist bij Randstad en FD Mediagroep, met een focus op AI-gedreven aanbevelingssystemen, natuurlijke taalverwerking, en responsible AI.

David behaalde zijn PhD in Information Retrieval aan de Universiteit van Amsterdam onder begeleiding van prof. Dr. Maarten de Rijke in 2017. Hij behaalde zijn MSc. Media Technology aan de Universiteit Leiden in 2012, en een BA in Media Studies aan de Universiteit van Amsterdam in 2008.

Zijn onderzoek richt zich op toegepaste AI voor zoektechnologie en natuurlijke taalverwerking, met een focus op open overheidsdata, transparantie en maatschappelijke impact. Het ICAI OpenGov Lab, opgericht in samenwerking met de Rijksorganisatie voor Informatiehuishouding (RvIHH), past AI toe op open overheidsdata, en werkt nauw samen met belanghebbenden via het WooGle living lab, een zoekmachine voor open overheidsinformatie.

Voor meer informatie over publicaties en projecten, bezoek www.graus.nu.
Publicaties
2025

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), 1-54. Article 16. https://doi.org/10.1145/3696457

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.), NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop (pp. 16-26). (NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://aclanthology.org/2024.nlp4hr-1.2.pdf

2023

Vrolijk, J., & Graus, D. (2023). Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. In 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 (CEUR Workshop Proceedings; Vol. 3490). CEUR-WS. https://ceur-ws.org/Vol-3490/RecSysHR2023-paper_4.pdf

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]
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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) (Vol. 2967). (CEUR Workshop Proceedings). 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 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2020-May). 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). (UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. 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]
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2016

Graus, D., Bennett, P. N., White, R. W., & Horvitz, E. (2016). Analyzing and predicting task reminders. In UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization (pp. 7-15). (UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/2930238.2930239

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]
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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]
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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]
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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]
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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]
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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]
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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]
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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

Graus, D., Kenter, T., Bron, M., Meij, E., & de Rijke, M. (2012). Context-Based Entity Linking - University of Amsterdam at TAC 2012. In Proceedings of the Fifth Text Analysis Conference (TAC 2012): November 5-6, 2012, National Institute of Standards and Technology, Gaithersburg, Maryland, USA National Institute of Standards and Technology. http://www.nist.gov/tac/publications/2012/participant.papers/UvA.proceedings.pdf [details]
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2016

de Rijke, M., & Graus, D. (2016). Wij zijn racisten, en daarom Google ook. NRC Handelsblad, 16. [details]
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2017

Graus, D. P. (2017). Entities of interest: Discovery in digital traces. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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Dr. D.P. (David) Graus

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