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 2021-09-01 to 2025-09-01.)

Article	Citations
Recommending on graphs: a comprehensive review from a data perspective	84
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	50
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	42
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	39
Generalisable sensor-free frustration detection in online learning environments using machine learning	38
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	31
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	23
Deep adversarial group recommendation with user feature space separation	23
Informative representations for forgetting-robust knowledge tracing	22
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	22
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	20
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	20
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	18
Preface on the special issue on group recommender systems	17
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	16
Preface to the special issue on personalization and adaptation in human–robot interactive communication	16
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
Acknowledgment to reviewers	15
User-centered personalized gamification: an umbrella review	14
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study	14
Gaze-based predictive models of deep reading comprehension	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	11
Enhancing user awareness on inferences obtained from fitness trackers data	10

Digitally nudging users to explore off-profile recommendations: here be dragons	9
Fair performance-based user recommendation in eCoaching systems	9
Non-binary evaluation of next-basket food recommendation	9
Safe, effective and explainable drug recommendation based on medical data integration	9
A bias detection tree approach for detecting disparities in a recommendation model’s errors	8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	8
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	8
Improving cold-start recommendations using item-based stereotypes	8
A human-centered decentralized architecture and recommendation engine in SIoT	8
EvoRecSys: Evolutionary framework for health and well-being recommender systems	8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	8
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback	8
Personalized recommendations for learning activities in online environments: a modular rule-based approach	7
One size does not fit all: detecting attention in children with autism using machine learning	7
Online convex combination of ranking models	6
Improving selection diversity using hybrid graph-based news recommenders	6
Generating explanations for knowledge-aware conversational recommendation systems	6
An overview of consensus models for group decision-making and group recommender systems	6
Embarrassingly shallow auto-encoders for dynamic collaborative filtering	5
Enhancing a student productivity model for adaptive problem-solving assistance	5
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	5
Personalized home-care support for the elderly: a field experience with a social robot at home	5
Improving session-based recommendation with contrastive learning	5
“Knowing me, knowing you”: personalized explanations for a music recommender system	5
A Bayesian framework for learning proactive robot behaviour in assistive tasks	5
Modeling the phases of rule learning during problem solving with an interactive learning environment	5
Physiology-based personalization of persuasive technology: a user modeling perspective	4
An automated system recommending background music to listen to while working	4
James Chen Annual Award for Best Journal Article	4
SNRBERT: session-based news recommender using BERT	4
Use of topical and temporal profiles and their hybridisation for content-based recommendation	4
A contrastive self-supervised learning method for source-free EEG emotion recognition	4
Cognitive personalization for online microtask labor platforms: A systematic literature review	4
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	4
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	4
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	4
Fairness in recommender systems: research landscape and future directions	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
Preface to the special issue on news personalization and analytics	3
Personalization of industrial human–robot communication through domain adaptation based on user feedback	3
Modeling users’ heterogeneous taste with diversified attentive user profiles	3
NFC: a deep and hybrid item-based model for item cold-start recommendation	3
Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0	3
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems	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
Justification of recommender systems results: a service-based approach	3
Deep shared learning and attentive domain mapping for cross-domain recommendation	3
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	3
Using latent variable models to make gaming-the-system detection robust to context variations	3

Rank-sensitive proportional aggregations in dynamic recommendation scenarios	3
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	3
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design	3
Investigating meta-intents: user interaction preferences in conversational recommender systems	3