yusuke1997/dblp-id-title huggingface dataset:
Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites
Everybody, More or Less , likes Serendipity
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings
Discovering Stages in Web Navigation
Design and Development of a Patient-centric User Authentication System
Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks
Generalizability of Goal Recognition Models in Narrative-Centered Learning Environments
Effects and Ways of Tailored Gamification in Software-Based Training in Cognitive Rehabilitation
Beyond Algorithmic Fairness in Recommender Systems
A Personalized Global Filter To Predict Retweets
"Which vocational training program is best for me?" - Design of a recommender system for school students using large language models
Utilizing Social Networks for User Model Priming: User Attitudes
LLMs for Knowledge Modeling: NLP Approach to Constructing User Knowledge Models for Personalized Education
PRISE : Adaptive Environment for Consolidated Management of Digitals Resources
Evaluation of Adaptive Systems
Unaddressed challenges in persuasive dieting chatbots
Modularized User Modeling in Conversational Recommender Systems
Quiet Eye Affects Action Detection from Gaze More Than Context Length
Evaluating Web Based Instructional Models Using Association Rule Mining
Diversity Checker: Toward Recommendations for Improving Journalism with Respect to Diversity
Prediction of Socioeconomic Levels Using Cell Phone Records
Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications
Modeling Behavior Patterns with an Unfamiliar Voice User Interface
FitSight: Tracking and Feedback Engine for Personalized Fitness Training
From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects
An Unobtrusive System to Monitor Physical Functioning of the Older Adults: Results of a Pilot Study
Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks
It's Time to Let Go: Stopping Criteria Recommendations in Content-rich Domains
SpotifyExplained: User-centric Mobile Application for Music Exploration
Balancing Adaptivity and Customisation - In Search of Sustainable Personalisation in Cultural Heritage
On the Compatibility of Privacy and Fairness
Acquiring User Preferences for Product Customization
MOOClm: User Modelling for MOOCs
Multilingual Tagging Behaviour: The Role of Recommender Systems
Enhancing Exploratory Information-Seeking through Interaction Modeling
An Intelligent Pedagogical Agent in CALL
The Pursuit of Satisfaction: Affective State in Group Recommender Systems
Semantic Aggregation and Zooming of User Viewpoints in Social Media Content
Generic Adaptation Process
Scaffolding for an OLM for Long-Term Physical Activity Goals
Studying the Effect of Human Cognition on User Authentication Tasks
What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects
Up and Down the Number-Line: Modelling Collaboration in Contrasting School and Home Environments
Personalized Access to Scientific Publications: from Recommendation to Explanation
Combining Virtual Reality with a Biomechanical Model to Improve Parkinson's Movement: Solution Proposal and Reference Learning Data
A Longitudinal, Naturalistic Study of Information Search & Use Behavior as Implicit Feedback for User Model Construction & Maintenance
UMAP 2017 PALE Workshop Organizers' Welcome
Tracking and Reacting to the Evolving Knowledge Needs of Lifelong Professional Learners
An Adaptive Spellchecker and Predictor for People with Dyslexia
Explicit vs. Implicit Tagging for User Modeling
Improving User Modelling with Content-Based Techniques
Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations
Adapting Emotional Support in Teams: Emotional Stability and Productivity
Patterns of Confusion: Using Mouse Logs to Predict User's Emotional State
The Magic Barrier of Recommender Systems - No Magic, Just Ratings
Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain
Context-aware User Interaction for Mobile Recommender Systems
Towards Integrating Human-in-the-loop Control in Proactive Intelligent Personalised Agents
MyShikko: Modelling Knee Walking in Aikido Practice
Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements
Towards Open Learner Models Including the Flow State
Modelling Long Term Goals
Towards Adaptive Information Visualization: On the Influence of User Characteristics
Effective Recommendation with Category Hierarchy
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System
Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?
Mind the Gap: Exploring Shopping Preferences Across Fashion Retail Channels
Modeling Mobile User Planning-Context
Linear models of student skills for static data
Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions
Group Modeling Cultural Dimension Values for Intercultural Personalization
Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited
1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data
Investigating the Effectiveness of Narrative Relations for the Exploration of Cultural Heritage Archives: A Case Study on the Labyrinth system
Reasoning about user trustworthiness with non-binary advice from peers
User Cognitive Style and Interface Design for Personal, Adaptive Learning. What to Model?
Evaluation of a Personalized Method for Proactive Mind Wandering Reduction
Emotion Analysis in Natural Language
MoRTELaban: a Neurosymbolic Framework for Motion Representation and Analysis based on Labanotation and Laban Movement Analysis
Life-Logging for Healthcare Proactive Advisory Systems
Multiple Evidence Combination in Web Site Search Based on Users' Access Histories
Adaptive Support versus Alternating Worked Examples and Tutored Problems: Which Leads to Better Learning?
Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study
Me, Myself and I: Are Looking for a Balance between Personalization and Privacy
Inferring Students' Sense of Community from Their Communication Behavior in Online Courses
Examining Multimodal Characteristics of Video to Understand User Engagement
Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering
Modeling Long-Term Search Engine Usage
Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model
"OMG! How did it know that?": Reactions to Highly-Personalized Ads
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
Recommendation with Differential Context Weighting
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information
Human Decisions in User Modeling: Motivation, Procedure and Example Application
Combining Supervised and Unsupervised Learning to Discover Emotional Classes
Driver Destination Models
Understanding University Students' Concerns Regarding Automated Learning Assessment Tools
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024, Cagliari, Italy, July 1-4, 2024
Survey2Persona: Rendering Survey Responses as Personas
Supporting User Information Processing Through Large Language Models Within the Political Sphere
User Modelling and Mobile Learning
Evaluation of Modeling Music Similarity Perception Via Feature Subset Selection
UCAI 2024: Workshop on User-Centered Artificial Intelligence
UMAP 2019 Workshops & Tutorials Overview and Organization
Let's Dance: How to Build a User Model for Dance Students Using Wearable Technology
Iems: Helping Users Manage Email
A Corpus for Modeling Personalities of Web Forum Users
The Effect of Smiling Pictures on Perceptions of Personas
The Role of Social Signals in Telecommunication: Experimental Design
Interacting with Next-Generation Smart Patient-Centric Healthcare Systems
UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4 - 7, 2022
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
Human-Centered and Sustainable Recommender Systems
Visualising web server logs for a Web 1.0 audience using Web 2.0 technologies
Group Situational Awareness: Being Together
Measuring Predictive Performance of User Models: The Details Matter
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021
Personalizing the Theme Park: Psychometric Profiling and Physiological Monitoring
The role of GPT as an adaptive technology in climate change journalism
Modeling the Dynamics of Online News Reading Interests
Personalized Educational Learning with Multi-Stakeholder Optimizations
Do Museum Visitors See what Educators Want Them to See?
A Dataset for Research on Depression in Social Media
A Qualitative Analysis of the Persuasive Properties of Argumentation Schemes
Wolly: an affective and adaptive educational robot
Uncovering Personal and Context-Dependent Display Preferences in Mobile Newsreader App
Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks
Towards Multi-Method Support for Product Search and Recommending
Reflections on Persuasive and Digital Nudging Methods for Cultural Heritage
A POV-Based User Model: From Learning Preferences to Learning Personal Ontologies
Towards Understanding Persuasive and Personalized Engagement for Human-AI Reliance
GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization
Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics Application
Using Explanations as Energy-Saving Frames: A User-Centric Recommender Study
Chatbots in the tourism industry: the effects of communication style and brand familiarity on social presence and brand attitude
A Social Cultural Recommender based on Linked Open Data
Data Access under the EU Digital Services Act and its Impact on User Modelling Research
Taming User-Interface Heterogeneity with Uniform Overlays for Blind Users
A Framework for Trust-Based Multidisciplinary Team Recommendation
Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators
User Modelling in the Car
Diversity-aware Recommendations for Social Justice? Exploring User Diversity and Fairness in Recommender Systems
Using Bayesian Networks To Elicit Preferences
Improving Access Control for Mobile Consumers of Services by Use of Context and Trust within the Call-Stack
An Analysis of Transfer Learning Methods for Multilingual Readability Assessment
Interweaving Public User Profiles on the Web
Eudaimonic Modeling of Moviegoers
Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research
Diversity and Novelty in Social-Based Collaborative Filtering
Adaptive Visualization of Plans
Emotional Reframing of Economic News using a Large Language Model
Modeling Suppositions in Users' Arguments
Imputing KCs with Representations of Problem Content and Context
Improving Student Models by Reasoning about Cognitive Ability, Emotions and Gender
Evaluating learning factors analysis
Users and Noise: The Magic Barrier of Recommender Systems
Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach
Simulating Users' Interactions with Recommender Systems
Personalising e-Learning Systems: Lessons Learned from a Vocational Education Case Study
Evaluation of an Engagement-Aware Recommender System for People with Dementia
Next-generation social TV content discovery
Thinking Outside the (Search) Box
A Fine-Grained Open Learner Model for an Introductory Programming Course
An Exploratory Study on Techniques for Quantitative Assessment of Stroke Rehabilitation Exercises
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
On the Influence of Human Factors in Adaptive User Interface Design
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization
Learner Modeling for Integration Skills
Design and Development of an Empirical Smiley-based Affective Instrument
Using Qualitative Modelling Approach to Model Motivational Characteristics of Learners
Modeling Skill Combination Patterns for Deeper Knowledge Tracing
Performance Evaluation of User Modeling Servers under Real-World Workload Conditions
Applications for Cognitive User Modeling
Will a Skills Passport ever get me through the lifelong learning border?: Two critical challenges facing personalised user models for lifelong learning
Disambiguating Search by Leveraging a Social Context Based on the Stream of User's Activity
Generative Programming Driven by User Models
Fine-Tuning Large Multimodal Models for Fitness Action Quality Assessment
Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization
Towards a Multi-Modal Methodology for User-Centred Evaluation of Adaptive Systems
Group Recommendations by Learning Rating Behavior
Semantic-Enhanced Personalised Support for Knowledge Sharing in Virtual Communities
RES: A Personalized Filtering Tool for CiteSeerX Queries Based on Keyphrase Extraction
Providing Personalized Guidance in Arithmetic Problem Solving
Group Recommender User Interfaces for Improving Requirements Prioritization
What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs
Interactive Personalised STEM Virtual Lab Based on Self-Directed Learning and Self-Efficacy
Advanced prompt engineering techniques for generative sound synthesis models
Influence of Reading Speed on Pupil Size as a Measure of Perceived Relevance
A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites
Seeing how you're Looking - Using Real-Time Eye Gaze Data for User-Adaptive Visualization
DANOS: A Human-Centered Decentralized Simulator in SIOT
Technology-facilitated Societal Consensus
A Service-oriented Perspective on the Summarization of Recommendations: Preliminary Experiment
How to Learn More about Users from Implicit Observations
Location-Adapted Music Recommendation Using Tags
Facilitating Code Example Search on the Web through Expertise Personalization
A Diary Study of Social Explanations for Recommendations in Daily Life
Intelligent Shifting Cues: Increasing the Awareness of Multi-Device Interaction Opportunities
Regulating Collaborative Learning in SQL-Tutor
Comparing Peer Recommendation Strategies in a MOOC
A Case Study of Graphical Passwords in a Chinese University
A New Statistical Density Clustering Algorithm based on Mutual Vote and Subjective Logic Applied to Recommender Systems
Factors Influencing the Willingness to Download Contact Tracing Apps among the American Population
Personalizing Persuasive Principles to Improve Credibility
Personality and Social Context: Impact on Emotion Induction from Movies
Modeling the Acquisition of Fluent Skill in Educational Action Games
Analyzing User Modeling on Twitter for Personalized News Recommendations
"It's like a puppet master": User Perceptions of Personal Autonomy when Interacting with Intelligent Technologies
Integrating Indoor Positioning, Recommendation, and Personalization to Enhance Museum Visitor Experiences
Customising the Interaction with Configuration Systems
Challenges for the Multi-dimensional Personalised Web
An approach for unified personalization of learning
A Museum Visitors Classification Based On Behavioral and Demographic Features
Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning
RUTICO: Recommending Successful Learning Paths Under Time Constraints
Towards Understanding the Nonverbal Signatures of Engagement in Super Mario Bros
SRec: a social behaviour based recommender for online communities
Modeling User's Opinion Relevance to Recommending Research Papers
Privacy Dashboards: The Impact of the Type of Personal Data and User Control on Trust and Perceived Risk
Learning a Model of a Web User's Interests
User Modelling in Exergames for Frail Older Adults
Personalizing with Human Cognitive Biases
Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results
Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users
Modeling Programming Skills of Students in an Educational Recommender System
UMAP 2018 HUM (Holistic User Modeling) Workshop Chairs' Preface &Organization
Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018
Evaluation of Cross-Domain News Article Recommendations
A Mobile Guide to Explore Interconnections between Science, Art and Territory
Tackling Cannibalization Problems for Online Advertisement
MyPlace Locator: Flexible Sharing of Location Information
A Value-Sensitive Mobile Social Application for Families and Children
GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization
User Expertise Inference on Twitter: Learning from Multiple Types of User Data
A User Model of Psycho-physiological Measure of Emotion
Inhabited Models: Supporting Coherent Behavior in Online Systems
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies
Maximizing the Utility of Situated Public Displays
Investigating the Value of Subtitles for Improved Movie Recommendations
The Impact of Personalised Advertisement Campaigns on Tourist Choices in South Tyrol: A Sustainable Tourism Perspective
User Modelling as an Aid for Human Web Assistants
A Cross-cultural Perspective for Personalizing Picture Passwords
A Framework for Interaction-driven User Modeling of Mobile News Reading Behaviour
Incorporating Editorial Feedback in the Evaluation of News Recommender Systems
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends
Accuracy and Reliability of Personal Data Collection: An Autoethnographic Study
Evaluating Persuasive Systems Using the PSD Framework
Estimating Confidence of Individual User Predictions in Item-based Recommender Systems
Modelling Symmetry of Activity as an Indicator of Collocated Group Collaboration
Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change?
Inferring Art Preferences from Gaze Exploration in a Museum
XAI4RE - Using Explainable AI for Responsible and Ethical AI
User Models as Digital Twins: Using Webassembly Techniques to ensure Privacy, Transparency and Control in Personalization
Integrating Item Based Stereotypes in Recommender Systems
Telemetry-Aware Add-on Recommendation for Web Browser Customization
Learning Inclination to Empathy from Social Media Footprints
Exploring the Prediction of Personality Traits from Drug Consumption Profiles
UMAP 2019 Demo and Late-Breaking Results - Chairs' Preface
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization
Evaluating a Simulated Student Using Real Students Data for Training and Testing
How to Use Social Relationships in Group Recommenders: Empirical Evidence
A Bandit You Can Trust
APPS 2022: Fourth International Workshop on Adaptive and Personalized Privacy and Security
Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal
Susceptibility to Persuasive Strategies: A Comparative Analysis of Nigerians vs. Canadians
Shaping the Reaction: Community Characteristics and Emotional Tone of Citizen Responses to Robotics Videos at TED versus YouTube
ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems
An Analysis on Time- and Session-aware Diversification in Recommender Systems
Looking Beyond Transfer Models: Finding Other Sources of Power for Student Models
Using Social Media for Personalizing the Cultural Heritage Experience
Collecting and Implementing Ethical Guidelines for Emotion Recognition in an Educational Metaverse
A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering
iSCUR: Interest and Sentiment-Based Community Detection for User Recommendation on Twitter
Multilingual Search User Behaviors - Exploring Multilingual Querying and Result Selection Through Crowdsourcing
From Artifact to Content Source: Using Multimodality in Video to Support Personalized Recomposition
Beyond-Accuracy Perspectives on Graph Neural Network-Based Models for Behavioural User Profiling
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study
Exploring Multi-List User Interfaces for Similar-Item Recommendations
Customer's Relationship Segmentation Driving the Predictive Modeling for Bad Debt Events
A Signal-Based Approach to News Recommendation
Handling Subjective User Feedback for Reputation Computation in Virtual Reality
Kindness is Contagious: Demonstration of a Persuasive Intervention for Wellbeing
Adaptive Applications to Assist Students with Autism in Succeeding in Higher Education
UMAP'17 Workshops & Tutorials Chairs' Introduction
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations
A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles
What do Students' Interactions with Online Lecture Videos Reveal about their Learning?
Busy versus Empty Museums: Effects of Visitors' Crowd on Users' Behaviors in Smart Museums
Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 09-12, 2019
Cross-Game Modeling of Player's Behaviour in Free-To-Play Games
Purpose-Based User Modelling in a Multi-agent Portfolio Management System
Push-Poll Recommender System: Supporting Word of Mouth
SNIF-ACT: A Model of Information Foraging on the World Wide Web
Tag-Based Resource Recommendation in Social Annotation Applications
Engagement, Metrics and Personalisation: the Good, the Bad and the Ugly
Recognising and Recommending Context in Social Web Search
User- and Community-Adaptive Rewards Mechanism for Sustainable Online Community
Social Computers for the Social Animal: State-of-the-Art and Future Perspectives of Social Signal Processing
Word Weighting Based on User's Browsing History
Graph Embedding Based Recommendation Techniques on the Knowledge Graph
EEG-Related Changes in Cognitive Workload, Engagement and Distraction as Students Acquire Problem Solving Skills
Does Adapted Information Help Patients with Cancer?
JogChalking: Capturing and Visualizing Affective Experience for Recreational Runners
GALE: Generic Adaptation Language and Engine
UMAP 2019 Theory, Reflection, and Opinion Track: Chairs' Welcome and Overview
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization
Users in Volatile Communities: Studying Active Participation and Community Evolution
Visualizing a User Model for Educational Adaptive Information Retrieval
Towards Cultural Preservation of Traditional Motion Knowledge through Automated Annotations with MoRTELaban
Qualitative Study into Adapting Persuasive Games for Mental Wellbeing to Personality, Stressors and Attitudes
A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory
The 'Unreasonable' Effectiveness of Graphical User Interfaces for Recommender Systems
User Modeling and Problem-Space Representation in the Tutor Runtime Engine
Attention and Selection in Online Choice Tasks
Improving Recommendations for Non-Mainstream Users by Addressing Subjective Item Views