yusuke1997/dblp-id-title huggingface dataset:
Exploring Architectural Choices and Emerging Challenges in Data Management for IoT: A Focus on Digital Innovation and Smart Cities
PERSEUS - Personalization Services Engine
APCSE'20 Workshop Chairs' Welcome
Adaptive Exercise Selection for an Intelligent Tutoring System
Privacy Preservation Improvement by Learning Optimal Profile Generation Rate
Exploring Requirements for an Adaptive Exercise Selection System
Participatory Monitoring in Cultural Heritage Conservation: Case Study: The Landscape zone of the Bisotun World Heritage Site
Towards a Transferable and Domain-Independent Reputation Indicator to Group Students in the Collaborative Logical Framework Approach
Days of Our Lives: Assessing Day Similarity from Location Traces
An Approach to Improve Physical Activity by Generating Individual Implementation Intentions
Eye-Tracking Study of User Behavior in Recommender Interfaces
Does Personalization Benefit Everyone in the Same Way? Multilingual Search Personalization for English vs. Non-English Users
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?
Pheme: Veracity in Digital Social Networks
Evaluation and assessment of recommenders using Monte Carlo simulation
Generating Interesting Song-to-Song Segues With Dave
How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling?
Towards Contextual Search: Social Networks, Short Contexts and Multiple Personas
Simulating Human Opinions with Large Language Models: Opportunities and Challenges for Personalized Survey Data Modeling
On the Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical Passwords
Recommending Topics for Web Curation
Explaining Need-based Educational Recommendations Using Interactive Open Learner Models
Differences on How People Organize and Think about Personal Information
Enhancing News Recommendation Systems Using Multitask Learning
Arguing about Emotion
Studies to Determine User Requirements Regarding In-Home Monitoring Systems
FormTwin: A Framework for Pen-based Data Collection
Discovering Prediction Rules in AHA! Courses
Designing Intelligent User Interfaces for Well-Being (Tutorial)
Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces
Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces
Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics
Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters
Predicting Actions Using a Probabilistic Model of Human Decision Behaviours
A Probabilistic Relational Student Model for Virtual Laboratories
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations
Progression Trajectory-Based Student Modeling for Novice Block-Based Programming
Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014
Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome
Automatic Assembly of Adaptive User-Interfaces via Dynamic Discovery and Deployment of Profile Providers, Decision Makers and Component Repositories
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
Modeling a Graph Viewer's Effort in Recognizing Messages Conveyed by Grouped Bar Charts
Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses
Socially-Aware Diagnosis for Constraint-Based Recommendation
Zero-Coding UMAP in Marketing: A Scalable Platform for Profiling and Predicting Customer Behavior by Just Clicking on the Screen
Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing
A Health Belief Model Approach to Evaluating Maternal Health Behaviors among Africans - Design Implications for Personalized Persuasive Technologies
Confusion Detection Dataset of Mouse and Eye Movements
Eliciting Touristic Profiles: A User Study on Picture Collections
Towards Understanding Users' Motivation in a Q&A Social Network Using Social Influence and the Moderation by Culture
Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2025, New York City, NY, USA, June 16-19, 2025
INTUITEL - Intelligent Tutorial Interface for Technology Enhanced Learning
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling
Characterizing Sequences of User Actions for Access Logs Analysis
International Workshop on Personalized Access to Cultural Heritage
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020
Inside Out: Exploring the Emotional Side of Search Engines in the Classroom
Interpreting User Input Intention in Natural Human Computer Interaction
Evaluation Metrics for Inferring Personality from Text
On-demand Personalized Explanation for Transparent Recommendation
"More Like This" or "Not for Me": Delivering Personalised Recommendations in Multi-user Environments
Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation
The Eyes Are the Windows to the Mind: Implications for AI-Driven Personalized Interaction
A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations
Just a Chill Robot. Strategies for relatable and personalized Assistive Robots for Autistic Children
User Modeling in Adaptive Audio-Augmented Museum Environments
Construction of Ontology-Based User Model for Web Personalization
HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization
Addressing Affective States with Empathy and Growth Mindset
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, UMAP 2016, Halifax, NS, Canada, July 13 - 17, 2016
Measuring Student Behaviour Dynamics in a Large Interactive Classroom Setting
Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational Agents
Modelling Student Knowledge in Blended Learning
Using user's local context to support local news
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons
Modeling Exploratory Behaviour
"Strangers in a new culture see only what they know": Evaluating Effectiveness of GPT-4 Omni for Detecting Cross-Cultural Communication Norm Violations
Design of an AI-driven Architecture with Cobots for Digital Transformation to Enhance Quality Control in the Food Industry
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study
Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
Adapting Emotional Support to Personality for Carers Experiencing Stress
How Effective Are Social Influence Strategies in Persuasive Apps for Promoting Physical Activity?: A Systematic Review
Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People's Financial Wellbeing
Ontology-Driven Adaptive Accessible Interfaces in the INREDIS project
EMVE-DeCK: A Theory-Based Framework for Designing and Tailoring Persuasive Technology
Anticipating Eating Preferences in Group Decision Making
Recognition of User Intentions for Interface Agents with Variable Order Markov Models
Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation
Recommendation, trust and reputation management in a group online mentorship system
HAAPIE 2021: 6th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
Motivational Principles and Personalisation Needs for Geo-Crowdsourced Intangible Cultural Heritage Mobile Applications
A General Framework for Personalized Text Classification and Annotation
The Effect of Suspicious Profiles on People Recommenders
Culture and Health Belief Model: Exploring the Determinants of Physical Activity Among Saudi Adults and the Moderating Effects of Age and Gender
Trust-Based Decision-Making for Energy-Aware Device Management
The Effect of Gender and Age on the Factors That Influence Healthy Shopping Habits in E-Commerce
Toward a decision process of the best machine learning model for multi-stakeholders: a crowdsourcing survey method
Ad As You Go: A Study of Ad Placement on Personal Navigation Devices
Open Social Student Modeling: Visualizing Student Models with Parallel IntrospectiveViews
Ubiquitous User Modeling for Situated Interaction
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018
Contextualised user profiling in networked media environments
Personalization Approaches in Learning Environments
An Argumentative Framework for Generating Explainable Group Recommendations
Interaction-Based Adaptation for Small Screen Devices
Data Sets and News Recommendation
Creating User Profiles from a Command-Line Interface: A Statistical Approach
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation
An Evaluation Framework for Interactive Recommender Systems
Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test
Analyzing and Predicting Task Reminders
A Visualization Model Supporting an Efficient Context Resumption in Collaboration Environments
Session details: ACM UMAP 2019 Main Track
A Comparative Study of Users' Microblogging Behavior on Sina Weibo and Twitter
Lifestyle Recommendations for Hypertension through Rasch-based Feasibility Modeling
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback
User Segmentation in e-Government Services
A Dataset for Inferring Contextual Preferences of Users Watching TV
Modeling User Intents as Context in Smartphone-connected Hearing Aids
Just-in-Time Adaptivity through Dynamic Items
Learner-centered Ontology for Explainable Educational Recommendation
Multi-channel coverage for a Dangerous Australians museum exhibit
Hybrid Solution of the Cold-Start Problem in Context-Aware Recommender Systems
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests
To Adapt or Not to Adapt ? Older Adults Enacting Agency in Dialogues with an Unknowledgeable Agent
Developing a Patient-Therapist-Robot User Model for Motivation in Neurorehabilitation Therapies
What's Inside the Box? An Open Student Modeling Approach in a Museum Context
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization
Enabling Efficient Real Time User Modeling in On-Line Campus
Stories Around You: Location-based Serendipitous Recommendation of News Articles
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation
I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems
Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems
Ubiquitous User Modeling in Recommender Systems
Adaptive Support for Team Collaboration
Neural Musical Instruments through Brain-Computer Interface and Biofeedback
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
ReEL: R eview Aware Explanation of Location Recommendation
Interactions between Inter- and Intra-Individual Effects on Gaze Behavior
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
Balanced Recommenders: A hybrid approach to improve and extend the functionality of traditional Recommenders
Long and Short-Term Recommendations with Recurrent Neural Networks
Towards Understanding How Humans Teach Robots
Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations
Supporting self-reflection in personal learning environments through user feedback
Concept Maps for Personalizked Interest Management
Multi-method Evaluation in Scientific Paper Recommender Systems
Agent-Based Ubiquitous User Modeling
Benefits and Risks of Emphasis Adaptation in Study Workflows
Introducing Surprise and Opposition by Design in Recommender Systems
Beyond Traditional Cultural Heritage Recommender Systems: Suggesting Airbnb Experiences to Users
Value Driven Representation for Human-in-the-Loop Reinforcement Learning
Empirical Evaluation of User Modeling Systems
Adaptive Active Learning in Recommender Systems
How YouTube Leads Privacy-Seeking Users Away from Reliable Information
Nudging Healthy Choices in Food Search Through List Re-Ranking
CARES: an Inclusive Personalized Touristic System for Autism
Towards comparative evaluations of user-adaptive software systems
The Curator's Helper
Ontologies and Open Data for Enriching Personalized Social Moments in Human Robot Interaction
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach
Describing User Interactions in Adaptive Interactive Systems
Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour
Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users
Exploring the Power of Visual Features for the Recommendation of Movies
Towards Intelligent Agents for Collaborative Learning: Recognizing the Roles of Dialogue Participants
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems
How Can Skin Check Reminders be Personalised to Patient Conscientiousness?
A Prototype for Exploration of Computational Strangeness in the Context of Rhythm Variation
Towards an HRI Tutoring Framework for Long-term Personalization and Real-time Adaptation
Recommending communities at the regional & city level
Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback
Recipe Recommendation: Accuracy and Reasoning
Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance
Integrating sentiment features in factorization machines: Experiments on music recommender systems
User Modeling, Adaption and Personalization - 19th International Conference, UMAP 2011, Girona, Spain, July 11-15, 2011. Proceedings
DeepCARSKit: A Demo and User Guide
My Heritage Companion: An AI-Driven Mobile Experience for Visual Storytelling
Localized Fairness in Recommender Systems
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems
Personality-Based Recommendation in E-Commerce
Self-Monitoring of Emotions: a Novel Personal Informatics Solution for an Enhanced Self-Reporting
User Modeling for Telecommunication Applications: Experiences and Practical Implications
Learning from a network of peers via peer-driven adjustment of a corpus
Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State
A Semi-automated Wizard of Oz Interface for Modeling Tutorial Strategies
Using Markov Chains for Structural Link Prediction in Adaptive Web Sites
Using Dialogue Games to Maintain Diagnostic Interactions
User Modeling 2005, 10th International Conference, UM 2005, Edinburgh, Scotland, UK, July 24-29, 2005, Proceedings
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
EvalUMAP 2019 Chairs' Welcome & Organization
Personalized Gait-based Authentication Using UWB Wearable Devices
APPS 2021: Third International Workshop on Adaptive and Personalized Privacy and Security
Core Aspects of Affective Metacognitive User Models
Personal Navigation in Semantic Wikis
Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change Interventions
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems
Modeling Student Performance to Enhance the Pedagogy of AutoTutor
Constraint-Sensitive Privacy Management for Personalized Web-Based Systems
UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface
Assessing Human Visual Attention in Retail Human-Robot Interaction: A YOLOv8-Nano and Eye-Tracking Approach
Shedding Light on Mobile App Store Censorship
Generation and Evaluation of Personalised Push-Notifications
Critiquing-based Modeling of Subjective Preferences
Adaptive Visualisations Using Spatiotemporal and Heuristic Models to Support Piano Learning
"They Only Offer the Illusion of Choice": Exploring User Perceptions of Control and Agency on YouTube
Automatically Adjusting Computer Screen
UMAP 2019 HAAPIE (Human Aspects in Adaptive and Personalized Interactive Environments) Workshop Chairs' Welcome
Comp-HuSim: Persistent Digital Personality Simulation Platform
Modeling Literary Style for Semi-automatic Generation of Poetry
Eliciting Users' Attitudes toward Smart Devices
Modeling Emotion and Its Expression in Virtual Humans
Supporting Workplace Learning in Small Enterprises by Personal Learning Environments
Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab Study
Discerning Individual Preferences for Identifying and Flagging Misinformation on Social Media
Accessible Cultural Heritage through Explainable Artificial Intelligence
Creating Personalized Digital Human Models of Perception for Visual Analytics
A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction
How Users Perceive and Appraise Personalized Recommendations
Improving Tensor Based Recommenders with Clustering
Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching
Workshop on Explainable User Models and Personalised Systems (ExUM)
Modelling Embodied Mobility Teamwork Strategies in a Simulation-Based Healthcare Classroom
After Twenty-Five Years of User Modeling and Adaptation...What Makes us UMAP?
Models of User Engagement
Do BCIs Detect User's Engagement?: The Results of an Empirical Experiment with Emotional Artworks
Thematic Maps for Geographical Information Search
Factorization techniques for student performance classification and ranking
User Modelling Ecosystems: A User-Centred Approach
Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning
SculptMate: Personalizing cultural heritage experience using fuzzy weights
Virtual Archaeology in a Multi-platform and Multi-lingual Setting
Identifying Relevant YouTube Comments to Derive Socially Augmented User Models: A Semantically Enriched Machine Learning Approach
InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems
A Gentle Introduction to Recommendation as Counterfactual Policy Learning
A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems
The Potential of AutoML for Recommender Systems
PerspectiveSpace: Opinion Modeling with Dimensionality Reduction
Promoting Green Fashion Consumption in Recommender Systems
Eye Tracking: A Rich Source of Information for User Modeling
Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning
Domain Ranking for Cross Domain Collaborative Filtering
Beggars Can't Be Choosers: Augmenting Sparse Data for Embedding-Based Product Recommendations in Retail Stores
A Framework for Privacy-Aware User Data Trading
Integrating Open User Modeling and Learning Content Management for the Semantic Web
Classifying User Roles in Online News Forums: A Model for User Interaction and Behavior Analysis
Generating Labeled Datasets of Twitter Users
Exploiting Probabilistic Latent Information for the Construction of Community Web Directories
Grocery Product Recommendations from Natural Language Inputs
Tracking and Modeling Subjective Well-Being Using Smartphone-Based Digital Phenotype
Are We Losing Interest in Context-Aware Recommender Systems?
Driving Persuasive Games with Personal EEG Devices: Strengths and Weaknesses
YummyKarachi: Using Real-Time Tweets for Restaurant Recommendations in an Unsafe Location
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System
5th Workshop on Adapted intEraction with SociAl Robots (cAESAR)
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy
Facilitating the Comprehension of Online Learning Courses with Adaptivity
Google Shared. A Case-Study in Social Search
Quantum-Enhanced Social Robotics: The QUADRI Project
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 9-12, 2019
Encouraging Contributions to Online Communities with Personalization and Incentives
Cross-Domain Mediation in Collaborative Filtering
Smart Technology for Supporting Dance Education
Providing Context-Sensitive Information to Groups
Making it Game-Like: Topolor 2 and Gamified Social E-Learning
Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling
Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data
Towards the Embodied Conversational Interview Agentic Service ELIAS: Development and Evaluation of a First Prototype
Combining Long-term and Discussion-generated Preferences in Group Recommendations
User Modeling, Adaptation, and Personalization - 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014. Proceedings
A Comparative Study among Different Computer Vision Algorithms for Assisting Users in Picture Password Composition
Trust Evaluation on Facebook Using Multiple Contexts
D-ME: Personal Interaction in Smart Environments
When the Question is Part of the Answer: Examining the Impact of Emotion Self-reports on Student Emotion
ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children's Information Discovery
Evaluating the Inference Mechanism of Adaptive Learning Systems
Distance- and Rank-based Music Mainstreaminess Measurement
The Role of Adaptive Elements in Web-Based Surveillance System User Interfaces
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation
On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles
Adaptive User Interfaces for In-vehicle Devices
Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation
A User Study on Groups Interacting with Tourist Trip Recommender Systems in Public Spaces
Towards a Fuzzy Rule-based Systems Approach for Adaptive Interventions in Menopause Self-care
Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation
Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe)
Investigating Serial Position Effects in Sequential Group Decision Making
Knowledge Graph-based User Models and Personalized Access for Cultural Heritage
From Overall Sentiment to Aspect-Level Insights: A Pretraining Strategy for Unsupervised Aspect-based Sentiment Analysis
Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints
Do Users Have Contextual Preferencesfor Smartphone Power Management?
Monitoring the Learning Progress in Piano Playing with Hidden Markov Models
The Kimono Era Has Long Passed: Generative AI-Assisted Reminiscence Therapy for Individuals with Late-Stage Dementia
Investigating the Impact of Personality and Cognitive Efficiency on the Selection of Exercises for Learners
Heavyweight Applications of Lightweight User Models: A Look at Collaborative Filtering, Recommender Systems, and Real-Time Personalization