Context-Based Entity Linking - University of Amsterdam at TAC 2012. - David Graus; Tom Kenter; Marc Bron; Edgar Meij; Maarten de Rijke (TAC, 2012)

Semantic Linking and Contextualization for Social Forensic Text Analysis. - Zhaochun Ren; David van Dijk; David Graus; Nina van der Knaap; Hans Henseler; Maarten de Rijke (EISIC, 2013)

yourHistory - Semantic Linking for a Personalized Timeline of Historic Events. - David Graus; Maria-Hendrike Peetz; Daan Odijk; Ork de Rooij; Maarten de Rijke (Veni@OKCon, 2013)

Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams. - David Graus; Manos Tsagkias; Lars Buitinck; Maarten de Rijke (ECIR, 2014)

Recipient recommendation in enterprises using communication graphs and email content. - David Graus; David van Dijk; Manos Tsagkias; Wouter Weerkamp; Maarten de Rijke (SIGIR, 2014)

Semanticizing search engine queries: the University of Amsterdam at the ERD 2014 challenge. - David Graus; Daan Odijk; Manos Tsagkias; Wouter Weerkamp; Maarten de Rijke (ERD@SIGIR, 2014)

Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015. - Cristina Gârbacea; Daan Odijk; David Graus; Isaac Sijaranamual; Maarten de Rijke (#MSM, 2015)

Analyzing and Predicting Task Reminders. - David Graus; Paul N. Bennett; Ryen W. White; Eric Horvitz (UMAP, 2016)

Dynamic Collective Entity Representations for Entity Ranking. - David Graus; Manos Tsagkias; Wouter Weerkamp; Edgar Meij; Maarten de Rijke (WSDM, 2016)

The birth of collective memories: Analyzing emerging entities in text streams. - David Graus; Daan Odijk; Maarten de Rijke (J. Assoc. Inf. Sci. Technol., 2018)

Reading News with a Purpose: Explaining User Profiles for Self-Actualization. - Emily Sullivan; Dimitrios Bountouridis; Jaron Harambam; Shabnam Najafian; Felicia Loecherbach; Mykola Makhortykh; Domokos Kelen; Daricia Wilkinson; David Graus; Nava Tintarev (UMAP (Adjunct Publication), 2019)

Improving Automated Segmentation of Radio Shows with Audio Embeddings. - Oberon Berlage; Klaus-Michael Lux; David Graus (ICASSP, 2020)

Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. - Feng Lu; Anca Dumitrache; David Graus (UMAP, 2020)

Job Posting-Enriched Knowledge Graph for Skills-based Matching. - Maurits de Groot; Jelle Schutte; David Graus (HR@RecSys, 2021)

conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. - Dor Lavi; Volodymyr Medentsiy; David Graus (HR@RecSys, 2021)

RecSys in HR: Workshop on Recommender Systems for Human Resources. - Toine Bogers; David Graus; Mesut Kaya; Francisco Gutiérrez; Katrien Verbert (RecSys, 2021)

Entities of Interest. - David Graus (CoRR, 2021)

Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021. - David Graus; Toine Bogers; Mesut Kaya; Francisco Gutiérrez; Katrien Verbert (SIGIR Forum, 2021)

End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. - Adam Mehdi Arafan; David Graus; Fernando P. Santos; Emma Beauxis-Aussalet (HR@RecSys, 2022)

Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. - Benjamin Platten; Matthew Macfarlane; David Graus; Sepideh Mesbah (HR@RecSys, 2022)

Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). - Toine Bogers; David Graus; Mesut Kaya; Francisco Gutiérrez; Sepideh Mesbah; Chris Johnson 011 (RecSys, 2022)

Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. - Spyros Avlonitis; Dor Lavi; Masoud Mansoury; David Graus (HR@RecSys, 2023)

Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants. - Yuxin Luo; Feng Lu; Vaishali Pal; David Graus (HR@RecSys, 2023)

Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. - Jarno Vrolijk; David Graus (HR@RecSys, 2023)

Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023). - Toine Bogers; David Graus; Mesut Kaya; Chris Johnson 011; Jens-Joris Decorte (RecSys, 2023)

Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024). - Toine Bogers; David Graus; Mesut Kaya; Chris Johnson 011; Jens-Joris Decorte; Tijl De Bie (RecSys, 2024)

Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses. - Lois Rink; Job Meijdam; David Graus (CoRR, 2024)

Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. - Alessandro Fabris; Nina Baranowska; Matthew J. Dennis; David Graus; Philipp Hacker; Jorge Saldivar; Frederik J. Zuiderveen Borgesius; Asia J. Biega (ACM Trans. Intell. Syst. Technol., 2025)