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 2022-06-01 to 2026-06-01.)
ArticleCitations
Sandra Carberry, in memoriam143
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario102
Learner models: design, components, structure, and modelling69
Recommending on graphs: a comprehensive review from a data perspective59
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks42
Generalisable sensor-free frustration detection in online learning environments using machine learning36
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises33
Deep adversarial group recommendation with user feature space separation29
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study25
Informative representations for forgetting-robust knowledge tracing25
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends23
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review21
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial20
Preface on the special issue on group recommender systems18
User-centered personalized gamification: an umbrella review17
Preface to the special issue on personalization and adaptation in human–robot interactive communication17
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation17
Gaze-based predictive models of deep reading comprehension16
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners15
Enhancing user awareness on inferences obtained from fitness trackers data15
Intra-list similarity and human diversity perceptions of recommendations: the details matter15
A novel heterogeneous hypergraph social network recommendation system13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems13
A context-aware recommender system-based framework for improving cultural experiences12
A bias detection tree approach for detecting disparities in a recommendation model’s errors11
Non-binary evaluation of next-basket food recommendation11
Safe, effective and explainable drug recommendation based on medical data integration11
Digitally nudging users to explore off-profile recommendations: here be dragons11
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders10
Fair performance-based user recommendation in eCoaching systems10
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