yusuke1997/dblp-id-title huggingface dataset:
A Personalized Interaction Approach: Motivation and Use Case
User Interface Personalization in News Apps
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models
Utilizing Gaze Data in Learning: From Reading Patterns Detection to Personalization
UMAP 2017 Doctoral Consortium Chairs' Welcome
Discrimination and Stereotypical Responses to Robots as a Function of Robot Colorization
Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis
Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants
Proceedings of the Workshop on Personalization in Mobile and Pervasive Computing, PMPC@UMAP 2009, Trento, Italy, June 22, 2009
Recency Aware Collaborative Filtering for Next Basket Recommendation
A Bayesian User-Controllable Recommender System
Tell Me What You See, I Will Tell You What You Remember
Adaptive Problem Selection in a Mobile Python Tutor
Harmonizing Ethical Principles: Feedback Generation Approaches in Modeling Human Factors for Assisted Psychomotor Systems
Exploring Relations between Personality and User Rating Behaviors
Personalized Nichesourcing: Acquisition of Qualitative Annotations from Niche Communities
Social Media Sources for Personality Profiling
VlUM, a Web-Based Visualisation of Large User Models
Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments
Usability Issues in Mental Health Applications
Should Learning Material's Selection be Adapted to Learning Style and Personality?
Enabling Novices to Diagnose Robot Failures by Aligning Users' Mental Models of Robots
MobiScore: Towards Universal Credit Scoring from Mobile Phone Data
Haven't I just Listened to This?: Exploring Diversity in Music Recommendations
Personalized Tourist Package Recommendation using Graph Based Approach
Propensity Modelling for Intelligent Content
Experiences from Implementing Collaborative Filtering in a Web 2.0 Application
Generating Consensus Explanations for Group Recommendations: an exploratory study
Discourse Analysis Techniques for Modeling Group Interaction
User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 2007, Proceedings
Automatic Evaluation of Aspects of Performance and Scheduling in Playing the Piano
Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation
On the Causality between Cognitive Stress and Physiological Stress: The Stroop Test as a Case Study
User Modeling 2001, 8th International Conference, UM 2001, Sonthofen, Germany, July 13-17, 2001, Proceedings
Enforcing Privacy in Secondary User Information Sharing and Usage
"DecisionTime": A Configurable Framework for Reproducible Human-AI Decision-Making Studies
Right Way, Right Time: Towards a Better Comprehension of Young Students' Needs when Looking for Relevant Search Results
Filtering Fitness Trail Content Generated by Mobile Users
Orient Me!: Important Event Identification in an Enterprise Activity Stream
User Ownership and Control of Data with Distributed Ledger
Modelling User Behaviour based on Process
Visual Search and Background Complexity: Does the Forest Hide the Trees?
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data
A Data-Driven Technique for Misconception Elicitation
Plan Recognition of Movement
Counteracting Anchoring Effects in Group Decision Making
Improving a recommender system through integration of user profiles: a semantic approach
The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment
Exploring Personalized University Ranking and Recommendation
Predicting Learning Difficulty Based on Gaze and Pupil Response
Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation
Generating Personalised and Opinionated Review Summaries
Running Recommendations: Personalisation Opportunities for Health and Fitness
Task-Oriented Web User Modeling for Recommendation
A User Training Error based Correction Approach combined with the Synthetic Coordinate Recommender System
Sonify Collective Human Intelligence: A Biometric Data Approach to Real-time Sound Design in HCI
Living Labs for UMAP Evaluation
Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts
Indirect Context Suggestion
Towards Exploring Personalized Hyperlink Recommendations Through Machine Learning
Using Personas to Model Museum Visitors
A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse
The Three Layers of Adaptation Granularity
Selective Propagation of Social Data in Decentralized Online Social Network
Automatic Generation of Students' Conceptual Models from Answers in Plain Text
Improving User Taught Task Models
Explanations in Open User Models for Personalized Information Exploration
The Sound of Paintings: Using Citizen Curation to Explore the Cross-Modal Personalization of Museum Experiences
Get to the Bottom: Causal Analysis for User Modeling
DECI: The 2nd Tutorial on Designing Effective Conversational Interfaces
Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits
Respecting Users' Individual Privacy Constraints in Web Personalization
Practical Methods for Semi-automated Peer Grading in a Classroom Setting
Selecting Items of Relevance in Social Network Feeds
Towards Generating Personalized Country Recommendation
Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery
Implicit User Modeling in Group Chat
Task-Based User Modelling for Knowledge Work Support
Exploring cognitive models to augment explainability in Deep Knowledge Tracing
The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based Courses
Adaptive Interfaces for Ubiquitous Web Access
Towards a Personalized Online Fake News Taxonomy
Sequential Music Recommendations for Groups by Balancing User Satisfaction
AI-Assisted Learning
Impact of characteristics of individuals on evaluating the quantitative studies
Towards Group Decision Support with LLM-based Meeting Analysis
Exploring Online Music Listening Behaviors of Musically Sophisticated Users
The Disappearing Computer: User-Centered Interaction Design for Smart Artefacts
Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation
Adaptive and Personalized Privacy and Security (APPS 2019): Workshop Chairs' Welcome and Organization
UMAP'17 Late-Breaking Results, Demonstration and Theory, Opinion & Reflection Papers Chairs' Preface & Organization
7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025)
Taking into account users' knowledge, abilities and preferences to personalize animated assistant agents
Exploring Expressed Emotions for Neural News Recommendation
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience
User-Centered Design for Personalized Access to Cultural Heritage
Investigating Explanations to Justify Choice
Promoting Mental Health of Adolescents with a Mild Intellectual Disability
Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors
RehaBot: Gamified Virtual Assistants Towards Adaptive TeleRehabilitation
A Usability Evaluation of a Software Framework for Designing Persuasive Games
Automatic Task-Cluster Generation based on Document Switching and Revisitation
Uncertainty in Repeated Implicit Feedback as a Measure of Reliability
Not Directly Stated, Not Explicitly Stored: : Conversational Agents and the Privacy Threat of Implicit Information
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis
Property-Based Interest Propagation in Ontology-Based User Model
Providing Control and Transparency in a Social Recommender System for Academic Conferences
Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices
GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization
Understanding Email Writers: Personality Prediction from Email Messages
AdHeat - An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads
ETAPP: A Collaboration Framework That Copes with Uncertainty Regarding Team Members
User Models for Motivational Systems - The Affective and the Rational Routes to Persuasion
Personalized Persuasion to Promote Positive Work Attitudes in Public Workplaces
Robots to Make You Feel Good: Supporting Autistic Youths in Managing Medical Visit Challenges with Robot-Assisted Therapy
Towards User Modeling Meta-ontology
Detecting, Acquiring and Exploiting Contextual Information in Personalized Services
Exploring the Impact of Elaborateness and Indirectness on User Satisfaction in a Spoken Dialogue System
Free of Walls: Participatory Design of an Out-World Experience via Virtual Reality for Dementia In-patients
Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models
Towards a Tag-Based User Model: How Can User Model Benefit from Tags?
Affect-Aware Learning for Social Robots
Exploring Eye Tracking to Increase Bandwidth in User Modeling
Predicting Advertising Appeal from Receiver's Psychological Traits and Ad Design Features
Exploring Music Diversity Needs Across Countries
Service-aware Recommendation and Justification of Results
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017, Bratislava, Slovakia, July 09 - 12, 2017
Reasoning About Interaction in a Multi-user System
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being
A Web-based Application for Recommending Travel Regions
Interfaces for Eliciting New User Preferences in Recommender Systems
Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation
Experiences Using an Interactive Presentation Platform in a Functional and Logic Programming Course
Effect of Different Implicit Social Networks on Recommending Research Papers
Evaluation of Personalized Concept-Based Search and Ranked Lists over Linked Open Data
Feature-Weighted User Model for Recommender Systems
User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System
Supporting a Group Member to Make a Group Choice
Recognition of Users' Activities Using Constraint Satisfaction
Proposing a Perceived Expertise Tool in Business Data Analytics
Should We Give Learners Control Over Item Difficulty?
Adaptive Pathways within the European Platform for Personalized Language Learning PEAPL
Daily and weekly patterns in human mobility
Human, All Too Human: Towards a Disfluent Virtual Tourist Guide
Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation
Automatic Reading Detection during Online Search Sessions
Community Mapping for Participatory Decision-Making Processes
BEN'FIT: Design, Implementation and Evaluation of a Culture-Tailored Fitness App
Codinji: Welcome to the Coding Jungle!
Does My AI Help or Hurt? Exploring Human-AI Complementarity
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead
Towards Social Choice-based Explanations in Group Recommender Systems
Adaptive Presentation of Multimedia Interface Case Study: "Brain Story" Course
Evaluating the Intrusion Cost of Recommending in Recommender Systems
On Cultural-centered Graphical Passwords: Leveraging on Users' Cultural Experiences for Improving Password Memorability
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems
A Review of the Use of Persuasive Technologies to Influence Sustainable Behaviour
Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids
A Metacognitive Perspective of InfoVis in Education
Enhancing Student Models in Game-based Learning with Facial Expression Recognition
Adaptive and Privacy-Aware Persuasive Strategies to Promote Healthy Eating Habits: Position Paper
Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics
Susceptibility of Online Users to Persuasive Strategies to Curb the Spread of Misinformation
Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models
Generating Personal Travel Guides - And Who Wants Them?
The Need for User-centred Assessment of AI Fairness and Correctness
The Influence of Interaction Attributes on Trust in Virtual Communities
Tailoring Privacy to Users' Needs
The Illusion of Control in Privacy Trade-Offs: Does Familiarity Play a Role?
Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis
Gumo - The General User Model Ontology
Achieving Kinetic Anthropomorphism in Robotic Precision Tasks
Performance Comparison of Item-to-Item Skills Models with the IRT Single Latent Trait Model
Towards Human-Centric Psychomotor Recommender Systems
Tell Me Where You've Lived, and I'll Tell You What You Like: Adapting Interfaces to Cultural Preferences
A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making
Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling
Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis
Beyond Demographics: Evaluating News Recommender Systems Fairness Through Behavioural Communities
Integration of Cultural and Natural Heritage Information in Future Mobile Guides
Interaction Visualization for Analysing and Improving User Models
Diagnosis at Scale: Detecting the Expertise Level and Knowledge States of Lifelong Professional Learners
Improving Explicit Profile Acquisition by Means of Adaptive Natural Language Dialog
Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems
Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations
Group Adapted Avatar Recommendations for Exergames
Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems
A Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce
User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
Theory-driven Learning Analytics and Open Learner Modelling: The Teacher's Toolbox of Tomorrow?
Eliciting Affective Recommendations to Support Distance Learning Students
Harvesting Entity-relation Social Networks from the Web: Potential and Challenges
A Virtual Reality Game Design for Collaborative Team-Building: A Proof of Concept
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses
Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems
Personality Correlates for Digital Concert Program Notes
Ontology-Based Collaborative Recommendation
Capturing User Intent for Analytic Process
Assessing Medical Training Skills via Eye and Head Movements
A computational model of emotion and personality in e-learning environments
Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems
Human-centred Persona Driven Personalization in Business Data Analytics
Interaction and Personalization of Criteria in Recommender Systems
Optimizing the User Experience in VR-based Anti-Bullying Education
Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users
Capturing the User's Reading Context for Tailoring Summaries
Harnessing Virtual Reality Exergames and Physical Fitness Sensing to Create a Personalised Game and Dashboard
Forming Teams of Learners Online in a User as Wizard Study with Openness, Conscientiousness, and cognitive Ability
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Personalized Implicit Learning in a Music Recommender System
Personalized Recommendation of PoIs to People with Autism
The Need for Identifying Ways to Monetize Personalization and Recommendation
Psychomotor Learning in Martial Arts: an Opportunity for User Modeling, Adaptation and Personalization
Adaptive Tips for Helping Domain Experts
Photos Don't Have Me, But How Do You Know Me?: Analyzing and Predicting Users on Instagram
IDEA: Instant Detection of Eating Action using Wrist-Worn Sensors in Absence of User-Specific Model
Adaptive Interest Modeling Enables Proactive Content Services at the Network Edge
Adaptive Context-Aware Planning Support for Students with Autism
Towards Adaptive Recruitment and Engagement Mechanisms in Social Systems
User Modeling, Adaptation, and Personalization, 17th International Conference, UMAP 2009, formerly UM and AH, Trento, Italy, June 22-26, 2009. Proceedings
Investigating AI in Programming Education: Self-Reported AI Usage, Individual Traits, and Learning Outcomes
Using Learning Curves to Mine Student Models
A Prismatic Cognitive Layout for Adapting Ontologies
Modelling Users for User Modelling: Dynamic Personas for Improved Personalisation in Digital Behaviour Change
Social Structure and Personality Enhanced Group Recommendation
SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems
Emotion Detection through Smartphone's Accelerometer and Gyroscope Sensors
iSynchronizer: A Tool for Extracting, Integration and Analysis of MovieLens and IMDb Datasets
Gaze-Enhanced Student Modeling for Game-based Learning
Virtual Reality Health Education to Prevent Musculoskeletal Disorders and Chronic Low Back Pain in Formal and Informal Caregivers
Handling Users Local Contexts in Web 2.0
Predicting Successful Collaboration in a Pair Programming Eye Tracking Experiment
UMAP 2020 Demo and Late-Breaking Results Chairs' Preface
On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems
Modelling the Interests of a News Service User
Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization, Montreal, Canada, July 16-20, 2012
A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention
Personality Profiling from Text: Language Features Tied to Personality across Corpora
Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation
Group-based Personalization Using Topical User Profile
Learning to Trust: Understanding Editorial Authority and Trust in Recommender Systems for Education
Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation
Automatic Teacher Modeling from Live Classroom Audio
Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization
Blockchain Technology for Certifying Waste Management within the digital transformation for industry and SME
Let's Talk About The Experienced Context: An Example Regarding Public Transport Information Systems
User-Oriented Context Suggestion
What's On My Plate: Towards Recommending Recipe Variations for Diabetes Patients
User Feedback and Preferences Mining
Improving Recommender Systems with Large Language Models
User Control in Adaptive Information Access
Dynamic Personalisation for Digital Cultural Heritage Collections
Towards Explanations of Anti-Recommender Content in Public Radio
Tikkoun Sofrim: A WebApp for Personalization and Adaptation of Crowdsourcing Transcriptions
Children on ChatGPT Readability in an Educational Context: Myth or Opportunity?
Adapting Home Behavior to Its Inhabitants
Collaborative Compound Critiquing
Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies
Gender Difference in the Credibility Perception of Mobile Websites: A Mixed Method Approach
Mobile Opportunistic Planning: Methods and Models
Multidimensional Analysis of Sense of Agency During Goal Pursuit
Predicting Movie Hits Before They Happen with LLMs
Towards Adapting Information Graphics to Individual Users to Support Recognizing Intended Messages
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
"Yes!": Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities
Exploring User Roles In Group Recommendations: A Learning Approach
Modeling Preferences in a Distributed Recommender System
Exploiting Contextual and External Data for Hotel Recommendation
Cross-Domain Recommendation for Enhancing Cultural Heritage Experience
Energy Saving Recommendations and User Location Modeling in Commercial Buildings
Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content
Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading
A User-Centric Authentication and Privacy Control Mechanism for User Model Interoperability in Social Networking Sites
Personalized Preference Profiles for Preference Discovery
AGENDA CULTUREL: An Adaptive Cultural Information Service
UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome &Organization
Heritage Education Experience: Creating and Sharing Collective Memories
Towards an Exhaustive Framework for Online Social Networks User Behaviour Modelling
Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems
Motivating Cooperation on Peer to Peer Networks
Exploring the Impact of Extroversion on the Selection of Learning Materials
Toward a Personalized Approach for Combining Document Relevance Estimates
Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions
Method for Novelty Recommendation Using Topic Modelling
Investigation of the Social Predictors of Competitive Behavior and the Moderating Effect of Culture
Holistic accessibility evaluation using VR simulation of users with special needs
Initial results on personalizing explanations of AI hints in an ITS
A Comparison of System-Controlled and User-Controlled Personalization Approaches
A Wiki-based Environment for Constraint-based Recommender Systems Applied in the E-Government Domain
Best Practices for Transparency in Machine Generated Personalization
Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications
A Personalized Tag-Based Recommendation in Social Web Systems
Human-centered Information Visualization Adaptation Engine
Towards Increased Utility of and Satisfaction with Group Recommender Systems
International Large-Scale Assessments and Culture: Implications for Designing Educational Technology
Personalized Recommendations for Music Genre Exploration
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks
Towards Explicit Physical Object Referencing
Personalized Multilingual Search - Predicting Search Result List Language Preferences
Real-Time Public Transport Navigation on Smartwatches: A Comparison with a Smartphone-based Solution
Personalized Human Robot Interaction in the Unique Context of Rehabilitation
Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach
Twitter, Sensors and UI: Robust Context Modeling for Interruption Management
Drivers of Competitive Behavior in Persuasive Technology in Education
Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media
Personalized Research Paper Recommendation using Deep Learning
Relating Newcomer Personality to Survival and Activity in Recommender Systems
Towards Considering User Privacy Preferences in Smart Water Management
Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents