User Modeling and User-Adapted Interaction

Papers
(The TQCC of User Modeling and User-Adapted Interaction is 10. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Sandra Carberry, in memoriam139
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario92
Learner models: design, components, structure, and modelling65
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks59
Generalisable sensor-free frustration detection in online learning environments using machine learning36
Recommending on graphs: a comprehensive review from a data perspective36
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems30
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises29
Deep adversarial group recommendation with user feature space separation25
Informative representations for forgetting-robust knowledge tracing24
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study20
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review19
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends18
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial18
Preface on the special issue on group recommender systems17
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation17
User-centered personalized gamification: an umbrella review16
Preface to the special issue on personalization and adaptation in human–robot interactive communication16
Generating predicate suggestions based on the space of plans: an example of planning with preferences15
Intra-list similarity and human diversity perceptions of recommendations: the details matter15
Gaze-based predictive models of deep reading comprehension15
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners14
Enhancing user awareness on inferences obtained from fitness trackers data14
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems13
A novel heterogeneous hypergraph social network recommendation system13
Non-binary evaluation of next-basket food recommendation11
A bias detection tree approach for detecting disparities in a recommendation model’s errors11
A context-aware recommender system-based framework for improving cultural experiences11
Digitally nudging users to explore off-profile recommendations: here be dragons11
Safe, effective and explainable drug recommendation based on medical data integration10
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders10
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation10
Fair performance-based user recommendation in eCoaching systems10
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission10
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