yusuke1997/dblp-id-title huggingface dataset:
Using a Rich Context Model for a News Recommender System for Mobile Users
Temporal Blurring: A Privacy Model for OMS Users
Adaptive Modelling of Attentiveness to Messaging: A Hybrid Approach
Evil Twins: Modeling Power Users in Attacks on Recommender Systems
Introducing Prerequisite Relations in a Multi-layered Bayesian Student Model
Employing Socially Assistive Robots in Elderly Care
An Approach to Explanations for Public Radio Recommendations
A Survey on Different Means of Personalized Dialog Output for an Adaptive Personal Assistant
Negative Feedback for Music Personalization
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems
Inclusive Personalized e-Learning Based on Affective Adaptive Support
Social Navigation Support for Information Seeking: If You Build It, Will They Come?
Graph-Based Recommendations: Make the Most Out of Social Data
Reading News with a Purpose: Explaining User Profiles for Self-Actualization
Personalized Previews of Alternative Routes in Virtual Environments
Visualizing Reciprocal and Non-Reciprocal Relationships in an Online Community
On the Benefits and Security Risks of a User-Centric Data Sharing Platform for Healthcare Provision
Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles
User Modeling and Adaptation for Daily Routines: Providing Assistance to People with Special and Specific Needs
ECP: Evaluation Community Portal A Portal for Evaluation And Collaboration in User Modelling and Personalisation Research
Personalized Web Learning: Merging Open Educational Resources into Adaptive Courses for Higher Education
Predicting Age and Gender by Keystroke Dynamics and Mouse Patterns
Experience Medium: Toward a New Medium for Exchanging Experiences
Designing with AI for Digital Marketing
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
Avoiding Decision Fatigue with AI-Assisted Decision-Making
A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems
Exploring Gaze Data for Determining User Learning with an Interactive Simulation
Walk the Talk - Analyzing the Relation between Implicit and Explicit Feedback for Preference Elicitation
Adaptive and Personalized Persuasive Technologies (ADAPPT 2023) Workshop
Just Do What I Tell You: The Limited Impact of Instructions on Multimodal Integration Patterns
User Verification on Mobile Devices Using Sequences of Touch Gestures
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews
Interactivity, Fairness and Explanations in Recommendations
"An Unscented Hound for Working Memory" and the Cognitive Adaptation of User Interfaces
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
Challenges, Strategies and Adaptations on Interactive Dashboards
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions
Ethical Considerations in User Modeling and Personalization (ECUMAP): ACM UMAP 2022 Tutorial
WantEat: interacting with social networks of smart objects for sharing and promoting cultural heritage
A Detailed Analysis of the Impact of Tie Strength and Conflicts on Social Influence
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions
Fairness and Diversity in Social-Based Recommender Systems
Unveiling Creativity in Student Code: A Gaussian Mixture Model Approach
Leveraging Collaborative Effort to Infer Intent
Designing an Explanation Interface for Proactive Recommendations in Automotive Scenarios
Users' Motives Shape Trust in Personalized Applications: the Importance of be-goals for Perceived Trustworthiness and Risk
Towards Adaptive Height-Aware Public Interactive Displays
Personalizing Social Influence Strategies in a Q&A Social Network
Soundtracks of Our Lives: How Age Influences Musical Preferences
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Inform or Flood: Estimating When Retweets Duplicate
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, June 26-29, 2023
Lessons Learned - 15 Years of Delivering Real-World Pedagogically Driven Courses Using Experimental Platforms
LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization
A Fair Share: Fair Allocation of Satellite Observation Windows According to User Preferences in a Distributed Setting
Human-Agent Interaction for Human Space Exploration
Goal Modeling-based Evaluation for Personalized Recommendation Systems
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests
Conceptualizing a Framework for Adaptive Exercise Selection with Personality as a Major Learner Characteristic
Toward Fully Automated Person-Independent Detection of Mind Wandering
IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback
Modelling User Behaviors with Evolving Users and Catalogs of Evolving Items
Plate and Prejudice: Gender Differences in Online Cooking
Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading
Evaluation of Learners' Adjustment of Question Difficulty in Adaptive Practice of Facts
Do the Urgent Things first! - Detecting Urgency in Spoken Utterances based on Acoustic Features
Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
Proponents as the Means to Increase the Uptake of Recommendations
How Close are Predictive Models to Teachers in Detecting Learners at Risk?
Autistic Children's Mental Model of an Humanoid Robot
A User Modeling Markup Language (UserML) for Ubiquitous Computing
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science
Computer Vision, Human Likeness, and Problematic Behaviors: Distinguishing Stereotypes from Social Norms
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering
Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously
Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations
Semantically-Enhanced Ubiquitous User Modeling
Building Rich User Profiles for Personalized News Recommendation
Opinion-Driven Matrix Factorization for Rating Prediction
User-Tailored Plan Presentation
Understanding the Temporal Dynamics of Recommendations across Different Rating Scales
Product Line-Based Customization of e-Government Documents
Effects of Search Interface and Decision Style on Learning Material Search Behavior and Reaction
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017, Bratislava, Slovakia, July 09 - 12, 2017
Image-based Face Verification for Student Identity Management - the TRUSTID Case Study
GroupCollaborate2: Interactive Community Mapping
"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom
An Adaptive Learning with Gamification & Conversational UIs: The Rise of CiboPoliBot
Towards a model of personality, affective state, feedback and learner motivation
Big Five and Cultural Experiences: Impact from Design to Evaluation
Privacy Perceiver: Using Social Network Posts to Derive Users' Privacy Measures
UMAP 2018 HAAPIE (Human Aspects in Adaptive and Personalized Interactive Environments) Workshop Chairs' Welcome & Organization
Towards Multi-Objective Behavior and Knowledge Modeling in Students
A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons
Towards a Generic Model for User Assistance
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations
Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations
Recommender Systems as Multistakeholder Environments
Exploring the Effects of Natural Language Justifications in Food Recommender Systems
Conceptualizing Student Models for ICALL
Predicting Users' Preference from Tag Relevance
Personalized Learning Systems for Computer Science Students: Analyzing and Predicting Learning Behaviors Using Programming Error Data
Learning the Learner: User Modeling in Intelligent Computer Assisted Language Learning Systems
Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems
What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data
Ambient Assisted Living and Social Robots: Towards Learning Relations between User's Daily Routines and Mood
User Profile Modelling for Digital Resource Management Systems
Using Asynchronous Client-Side User Monitoring to Enhance User Modeling in Adaptive E-Learning Systems
Personality Traits and Music Genres: What Do People Prefer to Listen To?
TRUSTID: Intelligent and Continuous Online Student Identity Management in Higher Education
A Personalised Intervention Model for Improving the Effectiveness of Driving-Behaviour Apps
Content Wizard: Concept-Based Recommender System for Instructors of Programming Courses
Understanding the Utility of Rationale in a Mixed-Initiative System for GUI Customization
Exploiting Evidence Analysis in Plan Recognition
United-and-Close: An interactive visual platform for assessing urban segregation within the 15-minutes paradigm
Text-Based User-kNN: Measuring User Similarity Based on Text Reviews
Curators in the Loop: a Quality Control Process for Personalization in Cultural Heritage
Reciprocal Recommenders
Towards Efficient Item Calibration in Adaptive Testing
I Cannot See Students Focusing on My Presentation; Are They Following Me? Continuous Monitoring of Student Engagement through "Stungage"
Context-Dependent Use of Authority and Empathy in Lifestyle Advices Given By Persuasive Voice Assistants
Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research
Exploring the Potential of User Modeling Based on Mind Maps
Data-Driven Destination Recommender Systems
Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling
Perceptual Considerations for Quality of Service Management: An Integrated Architecture
Challenges and Strategies in Personalised Planning Support for University Students with Autism
Gender Differences and the Value of Choice in Intelligent Tutoring Systems
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems
A fuzzy-based inference mechanism of trust for improved social recommenders
One Size Does Not Fit All: Badge Behavior in Q&A Sites
Personalization in crowd-driven annotation for cultural heritage collections
Using Basic Level Concepts in a Linked Data Graph to Detect User's Domain Familiarity
Real-Time Personalization in Adaptive IDEs
Capturing and Reusing Empirical Visualization Knowledge
SMART project: Industrial and Academic Collaboration for Service Design
Motivating People in Smart Environments
Exploring Adaptive Social Comparison for Online Practice
The Journey: An AR Gamified Mobile Application for Promoting Physical Activity in Young Adults
COPPER: Modeling User Linguistic Production Competence in an Adaptive Collaborative Environment
An Economic Model of User Rating in an Online Recommender System
Not a Team but Learning as One: The Impact of Consistent Attendance on Discourse Diversification in Math Group Modeling
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems
Designing Culture-based Persuasive Technology to Promote Physical Activity among University Students
Faceted Exploration of Cultural Heritage
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems
Recommender Systems in Continuing Professional Education for Public Transport: Challenges of a Human-Centered Design
Improving the Performance of Unit Critiquing
The Impact of Link Suggestions on User Navigation and User Perception
Perceived Persuasive Effect of Behavior Model Design in Fitness Apps
Declarative Specifications for Adaptive Hypermedia Based on a Semantic Web Approach
Modeling the Multiple People That Are Me
Adapting Performance Feedback to a Learner's Conscientiousness
CogniWin: An Integrated Framework to Support Older Adults at Work
Building User Trust in Recommendations via Fairness and Explanations
Impact of Individual Differences on User Experience with a Visualization Interface for Public Engagement
Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial
Working Memory Differences in E-Learning Environments: Optimization of Learners' Performance through Personalization
The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics Dashboards
Recommending Videos in Cold Start With Automatic Visual Tags
Adapting Performance And Emotional Support Feedback To Cultural Differences
Player Modeling Impact on Player's Entertainment in Computer Games
Learning Likely Locations
Generating Artificial Corpora for Plan Recognition
Towards Zero-shot Knowledge Graph building: Automated Schema Inference
HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
Semantic Interpretation of Search Queries for Personalization
Level of Involvement and the Influence of Persuasive Strategies in E-commerce: A Game-Based Approach
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
Designing Recommender Systems for the Common Good
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting
Augmenting User Models with Real World Experiences to Enhance Personalization and Adaptation
Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations
Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web
Modeling Behavior and Designing Evidence-Based Technologies: What We Can Learn for Empirical Data
Persuasiveness of a Game to Promote the Adoption of COVID-19 Precautionary Measures and the Moderating Effect of Gender
Investigating the Influence of Personal Memories on Video-Induced Emotions
Personality Profiling from Text: Introducing Part-of-Speech N-Grams
Understanding the Role of Explanation Modality in AI-assisted Decision-making
Customized Edit Interfaces for Wikis via Semantic Annotations
A Utility Model for Tailoring Sensor Networks to Users
Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems
Efficient Reachability Management with a Semantic User Profile Framework
Turning Learners into Effective Better Learners: The Use of the askMe! System for Learning Analytics
Adapting Online Messaging Based on Emotional State
Recommending Better Food Choices for Clinically Obese Users
Towards Modelling the User Creative Process in a Sandbox Game
A Dynamic Sliding Window Approach for Activity Recognition
Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems
Semantic Web Usage Mining: Using Semantics to Understand User Intentions
Generating a Personalized UI for the Car: A User-Adaptive Rendering Architecture
Using Browser Interaction Data to Determine Page Reading Behavior
MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts' Sharing of Misinformation
Intelligent Authoring of Gamified Intelligent Tutoring System
"Who are you?": Identifying Young Users from a Single Search Query
Differentiable Fuzzy Neural Networks for Recommender Systems
Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides
Adaptive Recommendations for Patients with Diabetes
Education-specific Tag Recommendation in CQA Systems
NEAR: A Partner to Explain Any Factorised Recommender System
Analysis of Users Engaged in Online Discussions about Controversial Covid-19 Treatments
Conversational Evaluation of Personalized Solutions for Adaptive Educational Systems
Injecting Semantic Diversity in Top-N Recommender Systems Using Determinantal Point Processes and Curated Lists
Tourist Support System Using User Context Obtained from a Personal Information Device
Amplifying Artists' Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
ACM UMAP 2021 Keynote Addresses
A User-Centric Study Of Reputation Metrics in Online Communities
Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science
Monitoring Contributions Online: A Reputation System to Model Expertise in Online Communities
Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools' Classes
Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model Agents
The Impact of Confidence Ratings on User Trust in Large Language Models
The Influence of Personality on Mobile Web Credibility
RECBOT: Virtual Museum navigation through a Chatbot assistant and personalized Recommendations
Children's Interpretation of Emotional Body Language Displayed by a Humanoid Robot: A Case Study
Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study
HAAPIE 2022: 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
What Do Academic Users Really Want from an Adaptive Learning System?
Automating Personal Categorization Using Artificial Neural Networks
Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism
Workshop on Explainable User Models and Personalized Systems (ExUM 2021)
Decision Making and Recommendation Acceptance Issues in Recommender Systems
PersonisJ: Mobile, Client-Side User Modelling
Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web
Assessing Objective Indicators of Users' Cognitive Load During Proactive In-Car Dialogs
The Role of Trust in Personal Data Sharing in the Context of e-Assessment and the Moderating Effect of Special Educational Needs
2nd International EvalUMAP Workshop (EvalUMAP2017) Chairs' Preface & Organization
Kansei Processing Agent for Personalizing Retrieval
Designing TV Viewer Stereotypes for an Electronic Program Guide
Toward a User-Adapted Question/Answering Educational Approach
A Comprehensive Approach to Group Recommendations in the Travel and Tourism Domain
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
Relating Personality Types with User Preferences in Multiple Entertainment Domains
Te, Te, Hi, Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations
Enhancing Personalized Document Ranking using Social Information
LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools
Dynamic Personalization of Multimedia Content Based on User Model
Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving
How are you doing? Emotions and Personality in Facebook
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
Building a Bridge between User-Adaptive Systems Evaluation and Software Testing
Towards a New generation of Personalized Intelligent Conversational Agents
Towards the development of a reading comprehension conversational agent for children applying user-centered design techniques for teachers and students
Visual Attention in Open Learner Model Presentations: An Eye-Tracking Investigation
Are Item Attributes a Good Alternative to Context Elicitation in Recommender Systems?
The Student Advice Recommender Agent: SARA
A Multi-factorial Analysis of Polarization on Social Media
What Makes an Image Tagger Fair?
The Force Within: Recommendations Via Gravitational Attraction Between Items
On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering
Human Strategic Steering Improves Performance of Interactive Optimization
WalkWithMe: Personalized Goal Setting and Coaching for Walking in People with Multiple Sclerosis
4MALITY: Coaching Students with Different Problem-Solving Strategies Using an Online Tutoring System
Designing Culturally-appropriate Persuasive Technology to Promote Positive Work Attitudes among Workers in Public Workplaces
Walking with PACE - Personalized and Automated Coaching Engine
Personalisation in Cyber-Physical-Social Systems: A Multi-stakeholder aware Recommendation and Guidance
Inferring Contextual Preferences Using Deep Auto-Encoding
Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems
Non-intrusive User Modeling for a Multimedia Museum Visitors Guide System
Reducing the Emotional Distress of Content Moderators through LLM-based Target Substitution in Implicit and Explicit Hate-Speech
Following Topics Across All Apps and Media Formats: Mobile Keyword Tracking as a Privacy-Friendly Data Source in Mobile Media Research
Modeling and Predicting User Actions in Recommender Systems
KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model
Actionable User Intentions for Real-Time Mobile Assistant Applications
Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models
Towards Improving E-commerce Users Experience Using Personalization & Persuasive Technology
User Modelling to Support User Customization
Proceedings of the International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems, WABBWUAS@UMAP 2010, Hawaii, June 21, 2010
Adaptive Emotional Support for Groups
The challenges of providing explanations of AI systems when they do not behave like users expect
Situation Awareness in Neurosurgery: A User Modeling Approach
Adaptive User Interface for a Personalized Mobile Banking App: Extended Abstract
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning
Off-line Evaluation of Recommendation Functions
Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces
Overcoming Customisation Challenges in Information Dashboards
The Impact of Rating Scales on User's Rating Behavior
Personalised Mashups: Opportunities and Challenges for User Modelling
Supporting Designers in Creating Cognition-centered Personalized Cultural Heritage Activities
Utilizing Mind-Maps for Information Retrieval and User Modelling
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities
Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation
Trust-based Recommender System for Fake News Mitigation
Personalization of Parliamentary Document Retrieval Using Different User Profiles
Client-Side Hybrid Rating Prediction for Recommendation
WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling
Supportive Adaptive User Interfaces Inside and Outside the Home
Automatic Gaze-Based Detection of Mind Wandering with Metacognitive Awareness
Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners' Performance
Selecting People for Involving Them in Participatory Decision-Making Processes
User's Social Media Profile as Predictor of Empathy
Visual Variables in Adaptive Visualizations
GECKOmmender: Personalised Theme and Tour Recommendations for Museums
User Modeling, Adaptation and Personalization - 23rd International Conference, UMAP 2015, Dublin, Ireland, June 29 - July 3, 2015. Proceedings
Towards Fair Multi-Stakeholder Recommender Systems
Task-specific, personalized Automatic Speech Recognition
User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd
Toward Tone-Aware Explanations in Recommender Systems
Early detection of museum visitors identities by using a museum triage
Collaborating with Focused and Unfocused Users under Imperfect Communication