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 2021-09-01 to 2025-09-01.)
ArticleCitations
Recommending on graphs: a comprehensive review from a data perspective84
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks50
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario42
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication39
Generalisable sensor-free frustration detection in online learning environments using machine learning38
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems31
Deep adversarial group recommendation with user feature space separation23
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises23
Informative representations for forgetting-robust knowledge tracing22
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study22
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review20
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial20
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends18
Preface on the special issue on group recommender systems17
Preface to the special issue on personalization and adaptation in human–robot interactive communication16
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation16
Acknowledgment to reviewers15
Intra-list similarity and human diversity perceptions of recommendations: the details matter15
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study14
User-centered personalized gamification: an umbrella review14
Gaze-based predictive models of deep reading comprehension13
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners12
Generating predicate suggestions based on the space of plans: an example of planning with preferences12
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems11
Enhancing user awareness on inferences obtained from fitness trackers data10
Safe, effective and explainable drug recommendation based on medical data integration9
Digitally nudging users to explore off-profile recommendations: here be dragons9
Fair performance-based user recommendation in eCoaching systems9
Non-binary evaluation of next-basket food recommendation9
EvoRecSys: Evolutionary framework for health and well-being recommender systems8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders8
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback8
A bias detection tree approach for detecting disparities in a recommendation model’s errors8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission8
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation8
Improving cold-start recommendations using item-based stereotypes8
A human-centered decentralized architecture and recommendation engine in SIoT8
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