Mark Graus
Mark Graus
Assistant Professor Data-Driven Personalization
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Geciteerd door
Geciteerd door
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 (4), 347-389, 2016
Using latent features diversification to reduce choice difficulty in recommendation lists
MC Willemsen, BP Knijnenburg, MP Graus, LC Velter-Bremmers, K Fu
RecSys 11 (2011), 14-20, 2011
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
The influence of users' personality traits on satisfaction and attractiveness of diversified recommendation lists
B Ferwerda, M Graus, A Vall, M Tkalcic, M Schedl
EMPIRE 2016 Emotions and Personality in Personalized Systems: Proceedings of …, 2016
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
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
Understanding real-life website adaptations by investigating the relations between user behavior and user experience
MP Graus, MC Willemsen, K Swelsen
International Conference on User Modeling, Adaptation, and Personalization …, 2015
Understanding the latent features of matrix factorization algorithms in movie recommender systems
MP Graus
Eindhoven University of Technology, 2011
1. Theory-grounded user modeling for personalized HCI
MP Graus, B Ferwerda
Personalized human-computer interaction, 1-30, 2019
Predicting musical sophistication from music listening behaviors: a preliminary study
B Ferwerda, M Graus
arXiv preprint arXiv:1808.07314, 2018
Can trailers help to alleviate popularity bias in choice-based preference elicitation?
MP Graus, MC Willemsen
IntRS@ RecSys, 22-27, 2016
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
Affective Music Recommender System (MRS): Investigating the effectiveness and user satisfaction of different mood inducement strategies.
R Amini, MC Willemsen, MP Graus
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, 21-23, 2021
The moderating effect of active engagement on appreciation of popularity in song recommendations
MP Graus, B Ferwerda
16th International Conference, iConference 2021, Beijing, China, March 17–31 …, 2021
Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE) preface
MP Graus, B Ferwerda, M Tkalčič, P Germanakos
Proceedings of the 24th International Conference on Intelligent User …, 2019
A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces
MP Graus, B Ferwerda, M Tkalčič, P Germanakos
2019 Joint ACM IUI Workshops, ACMIUI-WS 2019; Los Angeles, United States, 20 …, 2019
From behavior-centered to user-centered: incorporating psychological knowledge and user feedback in personalization
MP Graus
Technische Universiteit Eindhoven, 2018
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