User Modeling and User-Adapted Interaction

Papers
(The TQCC of User Modeling and User-Adapted Interaction is 8. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Empirical analysis of session-based recommendation algorithms49
The relationship between user types and gamification designs43
Interplay between upsampling and regularization for provider fairness in recommender systems34
A flexible framework for evaluating user and item fairness in recommender systems30
Activity recognition using wearable sensors for tracking the elderly30
Research directions in session-based and sequential recommendation25
The effects of controllability and explainability in a social recommender system25
Generating post hoc review-based natural language justifications for recommender systems23
Exploring author gender in book rating and recommendation21
“Knowing me, knowing you”: personalized explanations for a music recommender system20
Deploying a robotic positive psychology coach to improve college students’ psychological well-being18
Toward neuroadaptive support technologies for improving digital reading: a passive BCI-based assessment of mental workload imposed by text difficulty and presentation speed during reading18
Automatic generation and recommendation of personalized challenges for gamification17
Personality-based approach for tailoring persuasive mental health applications16
Potential and effects of personalizing gameful fitness applications using behavior change intentions and Hexad user types15
EvoRecSys: Evolutionary framework for health and well-being recommender systems15
Fairness in recommender systems: research landscape and future directions14
Personalized home-care support for the elderly: a field experience with a social robot at home14
Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons14
Myrror: a platform for holistic user modeling13
Multimodal modeling of collaborative problem-solving facets in triads12
Improving accountability in recommender systems research through reproducibility12
Using autoencoders for session-based job recommendations11
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems11
Effects of adapting to user pitch on rapport perception, behavior, and state with a social robotic learning companion11
BARGAIN: behavioral affective rule-based games adaptation interface–towards emotionally intelligent games: application on a virtual reality environment for socio-moral development10
Personalized task difficulty adaptation based on reinforcement learning10
NFC: a deep and hybrid item-based model for item cold-start recommendation9
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations9
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm9
The role of transparency in multi-stakeholder educational recommendations9
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners8
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication8
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