User Modeling and User-Adapted Interaction

Papers
(The TQCC of User Modeling and User-Adapted Interaction is 9. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Empirical analysis of session-based recommendation algorithms52
The relationship between user types and gamification designs43
Interplay between upsampling and regularization for provider fairness in recommender systems36
Activity recognition using wearable sensors for tracking the elderly31
A flexible framework for evaluating user and item fairness in recommender systems31
The effects of controllability and explainability in a social recommender system26
Research directions in session-based and sequential recommendation26
Generating post hoc review-based natural language justifications for recommender systems24
Exploring author gender in book rating and recommendation22
“Knowing me, knowing you”: personalized explanations for a music recommender system20
Deploying a robotic positive psychology coach to improve college students’ psychological well-being19
Automatic generation and recommendation of personalized challenges for gamification18
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
Personality-based approach for tailoring persuasive mental health applications17
Fairness in recommender systems: research landscape and future directions16
Personalized home-care support for the elderly: a field experience with a social robot at home15
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
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 modeling14
Using autoencoders for session-based job recommendations13
Multimodal modeling of collaborative problem-solving facets in triads12
Effects of adapting to user pitch on rapport perception, behavior, and state with a social robotic learning companion12
Improving accountability in recommender systems research through reproducibility12
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems11
BARGAIN: behavioral affective rule-based games adaptation interface–towards emotionally intelligent games: application on a virtual reality environment for socio-moral development11
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm10
Personalized task difficulty adaptation based on reinforcement learning10
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations9
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners9
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication9
NFC: a deep and hybrid item-based model for item cold-start recommendation9
The role of transparency in multi-stakeholder educational recommendations9
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