User Modeling and User-Adapted Interaction

Papers
(The TQCC of User Modeling and User-Adapted Interaction is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
The relationship between user types and gamification designs49
Interplay between upsampling and regularization for provider fairness in recommender systems40
A flexible framework for evaluating user and item fairness in recommender systems31
Fairness in recommender systems: research landscape and future directions25
“Knowing me, knowing you”: personalized explanations for a music recommender system25
Exploring author gender in book rating and recommendation25
Personalized home-care support for the elderly: a field experience with a social robot at home24
Deploying a robotic positive psychology coach to improve college students’ psychological well-being21
Personality-based approach for tailoring persuasive mental health applications21
EvoRecSys: Evolutionary framework for health and well-being recommender systems19
Potential and effects of personalizing gameful fitness applications using behavior change intentions and Hexad user types17
Multimodal modeling of collaborative problem-solving facets in triads14
Improving accountability in recommender systems research through reproducibility14
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners13
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm13
BARGAIN: behavioral affective rule-based games adaptation interface–towards emotionally intelligent games: application on a virtual reality environment for socio-moral development12
Personality-targeted persuasive gamified systems: exploring the impact of application domain on the effectiveness of behaviour change strategies11
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication11
NFC: a deep and hybrid item-based model for item cold-start recommendation11
The role of transparency in multi-stakeholder educational recommendations11
Personalized task difficulty adaptation based on reinforcement learning11
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations10
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study9
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems8
An automated system recommending background music to listen to while working8
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises7
Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world7
Intra-list similarity and human diversity perceptions of recommendations: the details matter7
Safe, effective and explainable drug recommendation based on medical data integration7
Measuring and modeling context-dependent preferences for hearing aid settings6
Improving session-based recommendation with contrastive learning6
Personalized rehabilitation for children with cerebral palsy6
Use of topical and temporal profiles and their hybridisation for content-based recommendation6
Empathy as an engaging strategy in social robotics: a pilot study6
A human-centered decentralized architecture and recommendation engine in SIoT6
Improving cold-start recommendations using item-based stereotypes6
A dichotomic approach to adaptive interaction for socially assistive robots6
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