Mark Graus
Mark Graus
AI in Finance at Obvion
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Cited by
Cited by
Understanding choice overload in recommender systems
D Bollen, BP Knijnenburg, MC Willemsen, M Graus
Proceedings of the fourth ACM conference on Recommender systems, 63-70, 2010
The virtual midas touch: helping behavior after a mediated social touch
A Haans, WA IJsselsteijn, MP Graus, JA Salminen
CHI '08 Extended Abstracts on Human Factors in Computing Systems, 3507-3512, 0
Understanding the role of latent feature diversification on choice difficulty and satisfaction
MC Willemsen, MP Graus, BP Knijnenburg
User Modeling and User-Adapted Interaction 26, 347-389, 2016
Improving the user experience during cold start through choice-based preference elicitation
MP Graus, MC Willemsen
Proceedings of the 9th ACM Conference on Recommender Systems, 273-276, 2015
Using latent features diversification to reduce choice difficulty in recommendation lists
MC Willemsen, BP Knijnenburg, MP Graus, LCM Velter-Bremmers, K Fu
Joint Workshop on Human Decision Making in Recommender Systems (Decisions …, 2011
The influence of users’ personality traits on satisfaction and attractiveness of diversified recommendation lists
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
4th Workshop on Emotions and Personality in Personalized Syetems (EMPIRE …, 2016
How item discovery enabled by diversity leads to increased recommendation list attractiveness
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
Proceedings of the Symposium on Applied Computing, 1693-1696, 2017
Remembering the stars? Effect of time on preference retrieval from memory
D Bollen, M Graus, MC Willemsen
Proceedings of the sixth ACM conference on Recommender systems, 217-220, 2012
Theory-grounded user modeling for personalized HCI
M Graus, B Ferwerda
Personalized human-computer interaction, 2019
Predicting musical sophistication from music listening behaviors: a preliminary study
B Ferwerda, M Graus
arXiv preprint arXiv:1808.07314, 2018
Understanding the latent features of matrix factorization algorithms in movie recommender systems
MP Graus
Eindhoven University of Technology, 2011
Can trailers help to alleviate popularity bias in choice-based preference elicitation?
MP Graus, MC Willemsen
IntRS@ RecSys, 22-27, 2016
Understanding real-life website adaptations by investigating the relations between user behavior and user experience
MP Graus, MC Willemsen, K Swelsen
User Modeling, Adaptation and Personalization: 23rd International Conference …, 2015
Context is key: mining social signals for automatic task detection in design thinking meetings
S Kohl, M Graus, JGAM Lemmink
International Conference on Human-Computer Interaction, 12-27, 2022
Affective Music Recommender System (MRS): Investigating the effectiveness and user satisfaction of different mood inducement strategies
R Amini, MC Willemsen, MP Graus
Personalizing a parenting app: parenting-style surveys beat behavioral reading-based models
MP Graus, MC Willemsen, CCP Snijders
2018 Joint ACM IUI Workshops, ACMIUI-WS 2018: Workshop 4: Theory-Informed …, 2018
The Moderating Effect of Active Engagement on Appreciation of Popularity in Song Recommendations
MP Graus, B Ferwerda
Diversity, Divergence, Dialogue: 16th International Conference, iConference …, 2021
Deciphering the code: Evidence for a sociometric DNA in design thinking meetings
S Kohl, MP Graus, JGAM Lemmink
HCI International 2020–Late Breaking Posters: 22nd International Conference …, 2020
Zooming in on the Effect of Sociometric Signals on Different Stages of the Design Process
S Kohl, K Schröder, M Graus, E Efendic, JGAM Lemmink
Proceedings of the 14th Conference on Creativity and Cognition, 118-124, 2022
Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary
M Graus, B Ferwerda, M Tkalcic, P Germanakos
26th International Conference on Intelligent User Interfaces-Companion, 21-23, 2021
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