David Graus

42 papers A* 1A 8Misc 1Journal 14Unranked 14
YearRankTypeTitle / Venue / Authors
2026 — conf
From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs.
ECIR (2)
Angelina Parfenova, David Graus, Jürgen Pfeffer
2026 J jnl
From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs.
CoRR
Angelina Parfenova, David Graus, Jürgen Pfeffer
2025 J jnl
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey.
ACM Trans. Intell. Syst. Technol.
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega
2025 J jnl
Report on the 2nd Search Futures Workshop at ECIR 2025.
SIGIR Forum
Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao
2024 J jnl
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses.
CoRR
Lois Rink, Job Meijdam, David Graus
2024 A conf
Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024).
RecSys
Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte, Tijl De Bie
2024 — ed.
Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, 14th-18th October 2024.
HR@RECSYS
Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte, Tijl De Bie
2023 — conf
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.
HR@RecSys
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
2023 J jnl
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.
CoRR
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
2023 — conf
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules.
HR@RecSys
Jarno Vrolijk, David Graus
2023 J jnl
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules.
CoRR
Jarno Vrolijk, David Graus
2023 — conf
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants.
HR@RecSys
Yuxin Luo, Feng Lu, Vaishali Pal, David Graus
2023 — ed.
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.
HR@RecSys
Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte
2023 A conf
Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023).
RecSys
Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte
2022 — conf
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks.
HR@RecSys
Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah
2022 — conf
End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates.
HR@RecSys
Adam Mehdi Arafan, David Graus, Fernando P. Santos, Emma Beauxis-Aussalet
2022 — ed.
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.
HR@RecSys
Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson, Francisco Gutiérrez
2022 A conf
Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022).
RecSys
Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Sepideh Mesbah, Chris Johnson
2021 J jnl
Entities of Interest.
CoRR
David Graus
2021 — conf
Job Posting-Enriched Knowledge Graph for Skills-based Matching.
HR@RecSys
Maurits de Groot, Jelle Schutte, David Graus
2021 J jnl
Job Posting-Enriched Knowledge Graph for Skills-based Matching.
CoRR
Maurits de Groot, Jelle Schutte, David Graus
2021 — ed.
Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, 27th September - 1st October 2021.
HR@RecSys
Mesut Kaya, Toine Bogers, David Graus, Katrien Verbert, Francisco Gutiérrez
2021 A conf
RecSys in HR: Workshop on Recommender Systems for Human Resources.
RecSys
Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert
2021 J jnl
Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021.
SIGIR Forum
David Graus, Toine Bogers, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert
2021 — conf
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers.
HR@RecSys
Dor Lavi, Volodymyr Medentsiy, David Graus
2021 J jnl
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers.
CoRR
Dor Lavi, Volodymyr Medentsiy, David Graus
2020 A conf
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation.
UMAP
Feng Lu, Anca Dumitrache, David Graus
2020 J jnl
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation.
CoRR
Feng Lu, Anca Dumitrache, David Graus
2020 Misc conf
Improving Automated Segmentation of Radio Shows with Audio Embeddings.
ICASSP
Oberon Berlage, Klaus-Michael Lux, David Graus
2020 J jnl
Improving automated segmentation of radio shows with audio embeddings.
CoRR
Oberon Berlage, Klaus-Michael Lux, David Graus
2019 — conf
Reading News with a Purpose: Explaining User Profiles for Self-Actualization.
UMAP (Adjunct Publication)
Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev
2018 J jnl
The birth of collective memories: Analyzing emerging entities in text streams.
J. Assoc. Inf. Sci. Technol.
David Graus, Daan Odijk, Maarten de Rijke
2017 J jnl
The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams.
CoRR
David Graus, Daan Odijk, Maarten de Rijke
2016 A conf
Analyzing and Predicting Task Reminders.
UMAP
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
2016 A conf
Dynamic Collective Entity Representations for Entity Ranking.
WSDM
David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke
2015 — conf
Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015.
#MSM
Cristina Gârbacea, Daan Odijk, David Graus, Isaac Sijaranamual, Maarten de Rijke
2014 A conf
Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams.
ECIR
David Graus, Manos Tsagkias, Lars Buitinck, Maarten de Rijke
2014 A* conf
Recipient recommendation in enterprises using communication graphs and email content.
SIGIR
David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
2014 — conf
Semanticizing search engine queries: the University of Amsterdam at the ERD 2014 challenge.
ERD@SIGIR
David Graus, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
2013 — conf
Semantic Linking and Contextualization for Social Forensic Text Analysis.
EISIC
Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke
2013 — conf
yourHistory - Semantic Linking for a Personalized Timeline of Historic Events.
Veni@OKCon
David Graus, Maria-Hendrike Peetz, Daan Odijk, Ork de Rooij, Maarten de Rijke
2012 — conf
Context-Based Entity Linking - University of Amsterdam at TAC 2012.
TAC
David Graus, Tom Kenter, Marc Bron, Edgar Meij, Maarten de Rijke