OOIR: Observatory of International Research

Papers

(The median citation count of User Modeling and User-Adapted Interaction is 3. 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 2021-07-01 to 2025-07-01.)

Article	Citations
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	74
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	65
Recommending on graphs: a comprehensive review from a data perspective	46
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	44
Preface to the special issue on fair, accountable, and transparent recommender systems	40
Generalisable sensor-free frustration detection in online learning environments using machine learning	36
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	30
Interplay between upsampling and regularization for provider fairness in recommender systems	29
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	27
Deep adversarial group recommendation with user feature space separation	22
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	21
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	20
Informative representations for forgetting-robust knowledge tracing	20
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	18
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	18
Preface on the special issue on group recommender systems	17
Preface to the special issue on personalization and adaptation in human–robot interactive communication	15
Acknowledgment to reviewers	14
User-centered personalized gamification: an umbrella review	14
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	14
Gaze-based predictive models of deep reading comprehension	13
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study	13
Intra-list similarity and human diversity perceptions of recommendations: the details matter	13
Generating predicate suggestions based on the space of plans: an example of planning with preferences	12
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	12

TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	12
Enhancing user awareness on inferences obtained from fitness trackers data	11
Non-binary evaluation of next-basket food recommendation	11
Digitally nudging users to explore off-profile recommendations: here be dragons	10
Fair performance-based user recommendation in eCoaching systems	9
Safe, effective and explainable drug recommendation based on medical data integration	9
Improving cold-start recommendations using item-based stereotypes	9
Domain-based Latent Personal Analysis and its use for impersonation detection in social media	8
A human-centered decentralized architecture and recommendation engine in SIoT	8
A bias detection tree approach for detecting disparities in a recommendation model’s errors	8
EvoRecSys: Evolutionary framework for health and well-being recommender systems	8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	7
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback	7
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	7
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	7
An overview of consensus models for group decision-making and group recommender systems	6
Personalized recommendations for learning activities in online environments: a modular rule-based approach	6
Improving selection diversity using hybrid graph-based news recommenders	6
One size does not fit all: detecting attention in children with autism using machine learning	6
Personalized home-care support for the elderly: a field experience with a social robot at home	5
Use of topical and temporal profiles and their hybridisation for content-based recommendation	5
Enhancing a student productivity model for adaptive problem-solving assistance	5
Improving session-based recommendation with contrastive learning	5
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	5
Modeling the phases of rule learning during problem solving with an interactive learning environment	5
Online convex combination of ranking models	5
A Bayesian framework for learning proactive robot behaviour in assistive tasks	5
Cognitive personalization for online microtask labor platforms: A systematic literature review	5
Embarrassingly shallow auto-encoders for dynamic collaborative filtering	5
Generating explanations for knowledge-aware conversational recommendation systems	5
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	5
“Knowing me, knowing you”: personalized explanations for a music recommender system	4
An automated system recommending background music to listen to while working	4
Examining the merits of feature-specific similarity functions in the news domain using human judgments	4
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach	4
Physiology-based personalization of persuasive technology: a user modeling perspective	4
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	4
James Chen Annual Award for Best Journal Article	4
A contrastive self-supervised learning method for source-free EEG emotion recognition	4
Fairness in recommender systems: research landscape and future directions	4
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	4
Using latent variable models to make gaming-the-system detection robust to context variations	3
Modeling users’ heterogeneous taste with diversified attentive user profiles	3
Justification of recommender systems results: a service-based approach	3
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems	3
Deep shared learning and attentive domain mapping for cross-domain recommendation	3
Preface to the special issue on news personalization and analytics	3
Rank-sensitive proportional aggregations in dynamic recommendation scenarios	3
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	3
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design	3

SNRBERT: session-based news recommender using BERT	3
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task	3
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	3
Personalization of industrial human–robot communication through domain adaptation based on user feedback	3
NFC: a deep and hybrid item-based model for item cold-start recommendation	3