David Graus

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Recommender Systems

Human Resources

News Recommendation

Top Venues

Publications

Lois Rink, Job Meijdam, David Graus
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses. CoRR (2024)
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)
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. HR@RecSys (2023)
Jarno Vrolijk, David Graus
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. HR@RecSys (2023)
Yuxin Luo, Feng Lu, Vaishali Pal, David Graus
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants. HR@RecSys (2023)
Jarno Vrolijk, David Graus
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. CoRR (2023)
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. CoRR (2023)
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)
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)
Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. HR@RecSys (2022)
David Graus
Entities of Interest. CoRR (2021)
Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert
RecSys in HR: Workshop on Recommender Systems for Human Resources. RecSys (2021)
Dor Lavi, Volodymyr Medentsiy, David Graus
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. HR@RecSys (2021)
Maurits de Groot, Jelle Schutte, David Graus
Job Posting-Enriched Knowledge Graph for Skills-based Matching. CoRR (2021)
Maurits de Groot, Jelle Schutte, David Graus
Job Posting-Enriched Knowledge Graph for Skills-based Matching. HR@RecSys (2021)
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) (2021)
Dor Lavi, Volodymyr Medentsiy, David Graus
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. CoRR (2021)
Oberon Berlage, Klaus-Michael Lux, David Graus
Improving Automated Segmentation of Radio Shows with Audio Embeddings. ICASSP (2020)
Feng Lu, Anca Dumitrache, David Graus
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. UMAP (2020)
Oberon Berlage, Klaus-Michael Lux, David Graus
Improving automated segmentation of radio shows with audio embeddings. CoRR (2020)
Feng Lu, Anca Dumitrache, David Graus
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. CoRR (2020)
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)
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) (2018)
David Graus, Daan Odijk, Maarten de Rijke
The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams. CoRR (2017)
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Analyzing and Predicting Task Reminders. UMAP (2016)
David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke
Dynamic Collective Entity Representations for Entity Ranking. WSDM (2016)
Cristina Gârbacea, Daan Odijk, David Graus, Isaac Sijaranamual, Maarten de Rijke
Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015. #MSM (2015)
David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
Recipient recommendation in enterprises using communication graphs and email content. SIGIR (2014)
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)
David Graus, Manos Tsagkias, Lars Buitinck, Maarten de Rijke
Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams. ECIR (2014)
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)
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)
David Graus, Tom Kenter, Marc Bron, Edgar Meij, Maarten de Rijke
Context-Based Entity Linking - University of Amsterdam at TAC 2012. TAC (2012)