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David Graus
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- affiliation: Randstad Groep Nederland
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2020 – today
- 2024
- [c22]Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte, Tijl De Bie:
Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024). RecSys 2024: 1222-1226 - [e4]Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte, Tijl De Bie:
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. CEUR Workshop Proceedings 3788, CEUR-WS.org 2024 [contents] - [i10]Lois Rink, Job Meijdam, David Graus:
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses. CoRR abs/2402.04812 (2024) - 2023
- [c21]Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus:
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. HR@RecSys 2023 - [c20]Yuxin Luo, Feng Lu, Vaishali Pal, David Graus:
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants. HR@RecSys 2023 - [c19]Jarno Vrolijk, David Graus:
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. HR@RecSys 2023 - [c18]Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte:
Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023). RecSys 2023: 1244-1247 - [e3]Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte:
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 3490, CEUR-WS.org 2023 [contents] - [i9]Jarno Vrolijk, David Graus:
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. CoRR abs/2308.16770 (2023) - [i8]Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus:
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. CoRR abs/2309.05391 (2023) - 2022
- [c17]Adam Mehdi Arafan, David Graus, Fernando P. Santos, Emma Beauxis-Aussalet:
End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. HR@RecSys 2022 - [c16]Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah:
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. HR@RecSys 2022 - [c15]Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Sepideh Mesbah, Chris Johnson:
Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). RecSys 2022: 671-674 - [e2]Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson, Francisco Gutiérrez:
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. CEUR Workshop Proceedings 3218, CEUR-WS.org 2022 [contents] - 2021
- [j2]David Graus, Toine Bogers, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert:
Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021. SIGIR Forum 55(2): 18:1-18:14 (2021) - [c14]Maurits de Groot, Jelle Schutte, David Graus:
Job Posting-Enriched Knowledge Graph for Skills-based Matching. HR@RecSys 2021 - [c13]Dor Lavi, Volodymyr Medentsiy, David Graus:
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. HR@RecSys 2021 - [c12]Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert:
RecSys in HR: Workshop on Recommender Systems for Human Resources. RecSys 2021: 799-802 - [e1]Mesut Kaya, Toine Bogers, David Graus, Katrien Verbert, Francisco Gutiérrez:
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. CEUR Workshop Proceedings 2967, CEUR-WS.org 2021 [contents] - [i7]David Graus:
Entities of Interest. CoRR abs/2102.10962 (2021) - [i6]Maurits de Groot, Jelle Schutte, David Graus:
Job Posting-Enriched Knowledge Graph for Skills-based Matching. CoRR abs/2109.02554 (2021) - [i5]Dor Lavi, Volodymyr Medentsiy, David Graus:
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. CoRR abs/2109.06501 (2021) - 2020
- [c11]Oberon Berlage, Klaus-Michael Lux, David Graus:
Improving Automated Segmentation of Radio Shows with Audio Embeddings. ICASSP 2020: 751-755 - [c10]Feng Lu, Anca Dumitrache, David Graus:
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. UMAP 2020: 145-153 - [i4]Oberon Berlage, Klaus-Michael Lux, David Graus:
Improving automated segmentation of radio shows with audio embeddings. CoRR abs/2002.05194 (2020) - [i3]Feng Lu, Anca Dumitrache, David Graus:
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. CoRR abs/2004.09980 (2020)
2010 – 2019
- 2019
- [c9]Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev:
Reading News with a Purpose: Explaining User Profiles for Self-Actualization. UMAP (Adjunct Publication) 2019: 241-245 - 2018
- [j1]David Graus, Daan Odijk, Maarten de Rijke:
The birth of collective memories: Analyzing emerging entities in text streams. J. Assoc. Inf. Sci. Technol. 69(6): 773-786 (2018) - 2017
- [i2]David Graus, Daan Odijk, Maarten de Rijke:
The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams. CoRR abs/1701.04039 (2017) - 2016
- [c8]David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz:
Analyzing and Predicting Task Reminders. UMAP 2016: 7-15 - [c7]David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke:
Dynamic Collective Entity Representations for Entity Ranking. WSDM 2016: 595-604 - 2015
- [c6]Cristina Gârbacea, Daan Odijk, David Graus, Isaac Sijaranamual, Maarten de Rijke:
Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015. #MSM 2015: 59-60 - 2014
- [c5]David Graus, Manos Tsagkias, Lars Buitinck, Maarten de Rijke:
Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams. ECIR 2014: 286-298 - [c4]David Graus, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke:
Semanticizing search engine queries: the University of Amsterdam at the ERD 2014 challenge. ERD@SIGIR 2014: 69-74 - [c3]David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke:
Recipient recommendation in enterprises using communication graphs and email content. SIGIR 2014: 1079-1082 - 2013
- [c2]Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke:
Semantic Linking and Contextualization for Social Forensic Text Analysis. EISIC 2013: 96-99 - [c1]David Graus, Maria-Hendrike Peetz, Daan Odijk, Ork de Rooij, Maarten de Rijke:
yourHistory - Semantic Linking for a Personalized Timeline of Historic Events. Veni@OKCon 2013 - 2012
- [i1]David Graus, Tom Kenter, Marc Bron, Edgar Meij, Maarten de Rijke:
Context-Based Entity Linking - University of Amsterdam at TAC 2012. TAC 2012
Coauthor Index
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last updated on 2024-12-05 21:39 CET by the dblp team
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