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
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation17
Preface on the special issue on group recommender systems17
User-centered personalized gamification: an umbrella review16
Preface to the special issue on personalization and adaptation in human–robot interactive communication16
Gaze-based predictive models of deep reading comprehension15
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
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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