David Graus

According to our database, David Graus authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses.

Lois Rink, Job Meijdam, David Graus

CoRR, 2024

Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024).

Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte, Tijl De Bie

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023).

Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules.

Jarno Vrolijk, David Graus

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), 2023

Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants.

Yuxin Luo, Feng Lu, Vaishali Pal, David Graus

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), 2023

Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.

Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus

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), 2023

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

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks.

Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah

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), 2022

End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates.

Adam Mehdi Arafan, David Graus, Fernando P. Santos, Emma Beauxis-Aussalet

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), 2022

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

Entities of Interest.

David Graus

CoRR, 2021

RecSys in HR: Workshop on Recommender Systems for Human Resources.

Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers.

Dor Lavi, Volodymyr Medentsiy, David Graus

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, 2021

Job Posting-Enriched Knowledge Graph for Skills-based Matching.

Maurits de Groot, Jelle Schutte, David Graus

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, 2021

2020

Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation.

Feng Lu, Anca Dumitrache, David Graus

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Improving Automated Segmentation of Radio Shows with Audio Embeddings.

Oberon Berlage, Klaus-Michael Lux, David Graus

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

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

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

2018

The birth of collective memories: Analyzing emerging entities in text streams.

David Graus, Daan Odijk, Maarten de Rijke

J. Assoc. Inf. Sci. Technol., 2018

2016

Dynamic Collective Entity Representations for Entity Ranking.

David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Analyzing and Predicting Task Reminders.

David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

2015

Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015.

Cristina Gârbacea, Daan Odijk, David Graus, Isaac Sijaranamual, Maarten de Rijke

Proceedings of the the 5th Workshop on Making Sense of Microposts co-located with the 24th International World Wide Web Conference (WWW 2015), 2015

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

Proceedings of the ERD'14, 2014

Recipient recommendation in enterprises using communication graphs and email content.

David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams.

David Graus, Manos Tsagkias, Lars Buitinck, Maarten de Rijke

Proceedings of the Advances in Information Retrieval, 2014

2013

yourHistory - Semantic Linking for a Personalized Timeline of Historic Events.

David Graus, Maria-Hendrike Peetz, Daan Odijk, Ork de Rooij, Maarten de Rijke

Proceedings of the LinkedUp Veni Competition on Linked and Open Data for Education held at the Open Knowledge Conference (OKCon 2013), 2013

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

Proceedings of the 2013 European Intelligence and Security Informatics Conference, 2013

2012

Context-Based Entity Linking - University of Amsterdam at TAC 2012.

David Graus, Tom Kenter, Marc Bron, Edgar Meij, Maarten de Rijke

Proceedings of the Fifth Text Analysis Conference, 2012