yusuke1997/dblp-id-title huggingface dataset:
Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel Configurations
A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation
Recognizing, Modeling, and Responding to Users' Affective States
Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection
User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems
Enhancing Traditional Local Search Recommendations with Context-Awareness
Personalized Cultural Heritage Experience Outside the Museum: Connecting the Museum Experience to the Outside World
Exploiting Implicit Item Relationships for Recommender Systems
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System
Towards a Conceptual Model for Holistic Recommendations
Evaluation of a System for Personalized Summarization of Web Contents
Evaluating Interface Variants on Personality Acquisition for Recommender Systems
Using Rollouts to Induce a Policy from a User Model
Term Extraction for User Profiling: Evaluation by the User
Modelling User Collaboration in Social Networks Using Edits and Comments
Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural Networks
Understanding Student Attention to Adaptive Hints with Eye-Tracking
PACELA: A Neural Framework for User Visitation in Location-based Social Networks
Topolor: A Social Personalized Adaptive E-Learning System
Tailored Responses for Decision Support
News Recommender Based on Rich Feedback
Extending Sound Sample Descriptions through the Extraction of Community Knowledge
Personalisation and Privacy Issues in the Age of Exposure
An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors
The Past, the Present, and the Future
A Computational Model for Mood Recognition
The PersonaWeb System: Personalizing E-Commerce Environments based on Human Factors
Crowdsourced Evaluation of Semantic Patterns for Recommendation
Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment
A Review of User-centred Information Retrieval Tasks
Recent Studies of XAI - Review
Personalized Recommendation of Research Papers by Fusing Recommendations from Explicit and Implicit Social Network
User's Knowledge and Information Needs in Information Retrieval Evaluation
Towards Practical Link Prediction Approaches in Signed Social Networks
Easy to Please: Separating User Experience from Choice Satisfaction
User models sharing and reusability: a component-based approach
The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations
User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity
UMAP 2017 PATCH 2017: Personalized Access to Cultural Heritage Organizers' Welcome
UMAP 2017 Fifty Shades of Personalization - Workshop on Personalization in Serious and Persuasive Games and Gameful Interactions: Organizers' Welcome & Organization
Driver Model for Take-Over-Request in Autonomous Vehicles
Modeling Multitasking Users
Enhancing Mobile Recommender Systems with Activity Inference
Emotion-based Stereotypes in Image Analysis Services
Modelling User Ability in Computer Games
Dynamic Modeling of User Preferences for Stable Recommendations
Auto-Suggesting Browsing Actions for Personalized Web Screen Reading
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
Relationship between Device Performance, Trust and User Behaviour in a Care-taking Scenario
Promoting Tail Item Recommendations in E-Commerce
The Impact of Social Connections in Personalization
Make your next item recommendation model time sensitive
User Partitioning Hybrid for Tag Recommendation
Modeling Individual Users' Responsiveness to Maximize Recommendation Impact
Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts
Towards Personalized Physiotherapy via Common Semantic Fusion: Multi-Modal Learning, Computer Vision and Empathetic NLP
Student Modelling for CALL Based on Pedagogical Standards
Fairness In Reciprocal Recommendations: A Speed-Dating Study
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study
Qualitative Evaluation of an Adaptive Exercise Selection Algorithm
A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints
Evaluating Visual Explanations for Similarity-Based Recommendations: User Perception and Performance
Tracking Museum Visitors through Convolutional Object Detectors
Inducing User Affect Recognition Models for Task-Oriented Environments
Preference Relation Based Matrix Factorization for Recommender Systems
Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving
On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What?
A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation
Designing Persuasive Health Behaviour Change Dialogs
IntelWiki: Recommending Resources to Help Users Contribute to Wikipedia
Towards a Recommender Engine for Personalized Visualizations
"Biographic spaces": A Personalized Smoking Cessation Intervention in Second Life
Intent-aware Item-based Collaborative Filtering for Personalised Diversification
Developing a scale for assessing instructor attitudes towards open learner models
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts
Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques
Adaptive and Personalized Persuasive Technologies
Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience
Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems
Affective standards-based modeling in educational contexts from mining multimodal data sources
User Modeling Based on Emergent Domain Semantics
Multi-faceted Trust-based Collaborative Filtering
Recommending based on rating frequencies: Accurate enough?
Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application
Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment
News Recommenders: Real-Time, Real-Life Experiences
Interaction with Linked Digital Memories
Differentially Private Learning of Distributed Deep Models
Personalizing LLM Responses to Combat Political Misinformation
Enhancing Session-Based Recommendations through Sequential Modeling
The Influence of City Size on Dietary Choices and Food Recommendation
Psychographic Matching between a Call Center Agent and a Customer
A Semantics-Based Dialogue for Interoperability of User-Adaptive Systems in a Ubiquitous Environment
Generating Recommendations with Post-Hoc Explanations for Citizen Science
User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems
Punch Anticipation in a Karate Combat with Computer Vision
Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education?
Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization., Rome, Italy, June 10-14, 2013
Social Navigation Support Through Annotation-Based Group Modeling
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
A Decentralized Architecture for Sharing and Reusing Lifelogs
Personalization of Persuasive Technology in Higher Education
The Effect of Race on the Social-Cognitive-Beliefs of Observers of Behavior Models
Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data
Neighborhood-restricted mining and weighted application of association rules for recommenders
LLM-generated Explanations for Recommender Systems
Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June 21-25, 2021
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems
A Multiagent Approach to Obtain Open and Flexible User Models in Adaptive Learning Communities
A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features
Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems
User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems
Privacy and Personalization: The Trade-off between Data Disclosure and Personalization Benefit
Investigation of Egocentric Social Structures for Diversity-Enhancing Followee Recommendations
Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity
Physical and Social Human-robot Interaction
Open Social Learner Models for Self-Regulated Learning and Learning Motivation
15th International Workshop on Personalized Access to Cultural Heritage (PATCH 2024)
Improving Mobile Recommendations through Context-Aware User Interaction
Using factorization machines for student modeling
Building Human-AI Reliance Through Cognitive Engagement and Exploratory AI Assistance
The 16th International Workshop on Personalized Access to Cultural Heritage (PATCH 2025)
Modeling Students' Natural Language Explanations
What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems
Supporting Cross-Device Web Search with Social Navigation-Based Mobile Touch Interactions
Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling
Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans
A Framework of Context-Sensitive Visualization for User-Centered Interactive Systems
Decision Theoretic Dialogue Planning for Initiative Problems
Identifying Students' Persistence Profiles in Problem Solving Task
Exploring Federated Learning for Emotion Recognition on Brain-Computer Interfaces
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
Towards automated feedback to a team member on their performance
Improving E-Commerce User Experience with Data-Driven Personalized Persuasion & Social Network Analysis
How Do User Opinions Influence Their Interaction With Web Search Results?
Leveraging LLMs to Explain the Consequences of Recommendations
Responsible Interactive Personalisation for Human-Robot Cooperation
Conference Navigator 3: An online social conference support system
Semantic Adaptive Social Web
5th Workshop on Explainable User Models and Personalised Systems (ExUM)
Hybrid AI for Human-Centric Personalization (HyPer)
Evaluating a Model to Disambiguate Natural Language Parses on the Basis of User Language Proficiency
Social Robot for Health Check and Entertainment in Waiting Room: Child's Engagement and Parent's Involvement
A Gamified System for Influencing Healthy E-commerce Shopping Habits
On the Value of Reminders within E-Commerce Recommendations
User Perception of Next-Track Music Recommendations
Exploring Users' Perception of Rating Summary Statistics
Deriving Item Features Relevance from Past User Interactions
Explainable Sentiment Analysis through Counterfactual Reasoning
Users Ranking in Online Social Networks to Support POIs Selection in Small Groups
Kindness is Contagious: Study into Exploring Engagement and Adapting Persuasive Games for Wellbeing
Lea's Box' Persuadable Open Learner Model: A Case Study in the Field of Speed Reading Training
Modeling User Strategies on Interactive Information Dashboards
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
Shopping Motivation and the Influence of Perceived Product Quality and Relative Price in E-commerce
Out-of-the-Lab Research in Usable Security and Privacy
GNN's FAME: Fairness-Aware MEssages for Graph Neural Networks
Modeling Musical Genre Trajectories through Pathlet Learning
"Show Me How": Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users
Predicting Emotions From Multimodal Users' Data
Inspectability and User Controlled Revision on Long Term User Models
User Modeling, Adaptation, and Personalization - 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013, Proceedings
A Computer Mouse for Stress Identification of Older Adults at Work
Measuring Actual Visitor Engagement in News Websites
Using Document Structures for Personal Ontologies and User Modeling
When will Cultural Heritage Content Creation Get to the Digital Age?
Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems
Employing Relation between Reading and Writing Skills on Age Based Categorization of Short Estonian Texts
Dynamic Ridge Plot Sliders: Supporting Users' Understanding of the Item Space Structure and Feature Dependencies in Interactive Recommender Systems
STS: A Context-Aware Mobile Recommender System for Places of Interest
Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive
Who Shares Fake News in Online Social Networks?
Session details: Doctoral Consortium
Inferring Personality of Online Gamers by Fusing Multiple-View Predictions
Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations
Information Retrieval and User-Centric Recommender System Evaluation
A Bayesian Approach to Modelling Users' Information Display Preferences
Towards Personalized and Contextualized Code Explanations
The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use
Towards a Generic Platform for Indoor Positioning using Existing Infrastructure and Symbolic Maps
Synthesis & Evaluation of a Mobile Notification Dataset
Probabilistic Perspectives on Collecting Human Uncertainty in Predictive Data Mining
Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020
GEARS: Generalizable Multi-Purpose Embeddings for Gaze and Hand Data in VR Interactions
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems
A Procedure to Automatically Adapt Questions in Student - Pedagogic Conversational Agent Dialogues
METIORE: A Personalized Information Retrieval System
History Dependent Recommender Systems Based on Partial Matching
Hybrid User Preference Models for Second Life and OpenSimulator Virtual Worlds
Tag-Based User Profiling: A Game Theoretic Approach
Detecting Gaming the System in Constraint-Based Tutors
Multimodal LLM Question Generation for Children's Art Engagement via Museum Social Robots
Low-Level Activity Patterns as Indicators of User Familiarity with Websites
A Virtual Reality Environment for Prospective Memory Training
Lifelong User Modeling and Meta-cognitive Scaffolding: Support Self Monitoring of Long Term Goals
Susceptibility to Fitness App's Persuasive Features: Differences Between Acting and Non-Acting Users
Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traits
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
1st Workshop on Context Representation in User Modelling
The Advantages of Explicitly Representing Problem Spaces
On the Personalization of Image Content in Graphical Passwords based on Users' Sociocultural Experiences: New Challenges and Opportunities
A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning
Personalizing Reminders to Personality for Melanoma Self-checking
A User Independent, Biosignal Based, Emotion Recognition Method
Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack
Scalable and Explainable Linear Shallow Autoencoders for Collaborative Filtering from Industrial Perspective
Modeling and Predicting News Consumption on Twitter
BIG-AFF: Exploring Low Cost and Low Intrusive Infrastructures for Affective Computing in Secondary Schools
A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network
FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization
Exer-model: A User Model for Scrutinising Long-term Models of Physical Activity from Multiple Sensors
Contact Recommendations from Aggegrated On-Line Activity
Personality Profiling from Text and Grammar
Interaction Based Content Recommendation in Online Communities
Modeling user personality traits from aesthetic preference on multiple images
Linguistic Design of In-Vehicle Prompts in Adaptive Dialog Systems: An Analysis of Potential Factors Involved in the Perception of Naturalness
User Modeling Meets Usability Goals
Towards Designing Advanced Password Cracking Toolkits: Optimizing the Password Cracking Process
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
An Attractiveness Evaluation of Picture Books Based on Children's Perspectives
Supporting Negotiated Assessment Using Open Student Models
Tailoring the Content of Dynamically Generated Explanations
Personalised Diversification Using Intent-Aware Portfolio
Characterising Players of a Cube Puzzle Game with a Two-level Bag of Words
UMAP 2017 THUM Workshop Chairs' Welcome & Organization
UMAP PATCH 2019 Chairs' Welcome
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space
Study on Motivating Physical Activity in Children with Personalized Gamified Feedback
Personalizing Technology-Enhanced Learning for Cultural Visits
HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments Chairs' Welcome
OdysseusRecSys: Collaborative Filtering based on a Data Stream Management System
Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation
Ethical Considerations in User Modeling and Personalization
User-Centric Item Characteristics for Modeling Users and Improving Recommendations
Modeling trustworthiness of peer advice in a framework for presenting Web objects that supports peer commenta
Computers That Recognize and Respond to User Emotion
Group Decision Support for Requirements Negotiation
Scrutable User Models in Decentralised Adaptive Systems
Conducting User Experiments with Personalized Systems
Characterizing the Emotional Context Induced by Music Listening and its Effects on Gait Initiation: Exploiting Physiological and Biomechanical Data
FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization
Recommending Paintings in Web Art Gallery with Adjustable Popularity and Diversity
Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement
Fine-Grained Open Learner Models: Complexity Versus Support
Computational Models of Cognitive and Affective Theory of Mind
Ascribing and Weighting Beliefs in Deceptive Information Exchanges
Modelling Empathy in Social Robotic Companions
Sentence Encoder-Based Clustering Method for Modeling Students' Learning Programming Behavior
Make your own: The Potential of Chatbot Customization for the Development of User Trust
Creating an Intelligent Social Media Campaign Decision-Support Method
Personalized Remedial Recommendations for SQL Programming Practice System
13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) - Towards Hybrid CH Experience
Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites
Modeling Learners' Interest with a Domain-IndependentOntology-Based Framewor
Utilising User Texts to Improve Recommendations
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2025, New York City, NY, USA, June 16-19, 2025
Mindful Escape: a Mobile Serious Game to Predict the Personality Trait Cooperation
Context Adaptive Personalized Privacy for Location-based Systems
3rd Workshop on Adapted intEraction with SociAl Robots
Adaptive Security Event Visualization for Continuous Monitoring
Experimentation Pitfalls to Avoid in A/B Testing for Online Personalization
SUM-IML: Dynamic Scrutable User Modeling utilizing Interactive Machine Learning
Does your profile say it all? Using demographics to predict expressive head movement during gameplay
Semantic Technologies as Enabler for Distributed Adaptive Hyperlink Generation
A User Modeling Approach to Support Knowledge Work in Socio-computational Systems
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
Cyclops: Looking beyond the single perspective in information access systems
Leveraging Unstructured Text Within the Context of Conversational Agents
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders
Resolving Data Sparsity and Cold Start in Recommender Systems
Guiding Patients in the Hospital
Modeling Agents That Exhibit Variable Performance in a Collaborative Setting
6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)
An Approach to Social News Recommendation based on Focused Crawling and Sentiment Analysis
Modelling the Behaviour of Elderly People as a Means of Monitoring Well Being
Modeling Hinting Strategies for Geometry Theorem Proving
Using Student and Group Models to Support Teachers in Web-Based Distance Education
User Perception of Fairness-Calibrated Recommendations
Getting the Right Information to the Right Person
Informal Learning at the Workplace via Adaptive Video
User Modeling for the Internet of Things
Exploiting Item and User Relationships for Recommender Systems
An Experimental Study in Cross-Representation Mediation of User Models
TweetAlert: Semantic Analytics in Social Networks for Citizen Opinion Mining in the City of the Future
A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
A Unified Latent Factor Model for Effective Category-Aware Recommendation
ExpertiseNet: Relational and Evolutionary Expert Modeling
Modelling Patient-Therapist Collaboration for Brain Injury Rehabilitation in Virtual Reality
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation
A Persuasive Game to Promote Awareness and Adoption of COVID-19 Precautionary Measures
Interactive Recommendations by Combining User-Item Preferences with Linked Open Data
Motion-Based Adaptation of Information Services for Mobile Users
Student modeling services for hybrid web applications
Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?
Testaccio, a Digital Cultural Biography App
Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models
Can Concept-Based User Modeling Improve Adaptive Visualization?
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R
A Decentralized Recommendation Engine in the Social Internet of Things
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
On the benefits of using Hidden Markov Models to predict emotions
Uncovering Latent Knowledge: A Comparison of Two Algorithms
Using Folksonomies for Building User Interest Profile
An Approach towards the Exploration of User Preference Adaptation for Cross Device, Cross Context Video Content Recommenders in Web 2.0 Environments
Devising Scrutable User Models for Time Management Assistants
Modeling Emotions with Social Tags