User Modeling, Adaptation and Personalization
19th International Conference, UMAP 2011, Girona, Spain, July 11-15, 2011
Published on 28. June 2011
XIX, 464 pages
978-3-642-22362-4 (ISBN)
Description
This book constitutes the proceedings of the third annual conference under the UMAP title, aptation, which resulted from the merger in 2009 of the successful biannual User Modeling (UM) and Adaptive Hypermedia (AH) conference series, held on Girona, Spain, in July 2011.
The 27 long papers and 6 short papers presented together with15 doctoral consortium papers, 2 invited talks, and 3 industry panel papers were carefully reviewed and selected from 164 submissions. The tutorials and workshops were organized in topical sections on designing adaptive social applications, semantic adaptive social Web, and designing and evaluating new generation user modeling.
More details
Other editions
Additional editions
Joseph Konstan | Ricardo Conejo | Jose L. Marzo
User Modeling, Adaptation and Personalization
19th International Conference, UMAP 2011, Girona, Spain, July 11-15, 2011
Book
07/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Title
- Preface
- Organization
- Table of Contents
- Full Research Papers
- Analyzing User Modeling on Twitter for Personalized News Recommendations
- Introduction
- Related Work
- Twitter-Based User Modeling
- Twitter-Based User Modeling Framework
- Analysis of Twitter-Based User Profiles
- Data Collection and Data Set Characteristics
- Structural Analysis of Twitter-Based Profiles
- Temporal Analysis of Twitter-Based Profiles
- Exploitation of User Profiles for Personalized News Recommendations
- News Recommender System and Evaluation Methodology
- Results
- Conclusions
- References
- Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems
- Introduction
- Student Models Used
- Bayesian Knowledge-Tracing
- Tabling
- Performance Factors Analysis
- CFAR
- Genetics Dataset
- Evaluation of Models
- In-Tutor Performance of Models, at Student Level
- In-Tutor Performance of Models at Action Level
- Models Predicting Post-Test
- Discussion and Conclusions
- References
- Creating Personalized Digital Human Models of Perception for Visual Analytics
- Introduction
- Modeling and Creating Individual Virtual Eyes
- Modeling the Flaws and Aberrations in a Human Eye
- Simulating Individual Differences in Eyesight
- Simulating What Is Seen at the Back of an Eye
- Predicting What Users Can or Cannot See
- Evaluation
- Eye Charts Are Gold Standard Measure of Human Eyesight
- Results of Evaluation of 3600 Virtual Eyes
- Demonstration: Looking at Fonts and InfoVis Graphs
- Discussion and Conclusions
- References
- Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects
- Introduction
- Overview of Model Directing Student Learning
- Experimental Setup
- Quality of Annotations
- Cutoff Threshold
- Explore vs. Exploit
- Discussion
- References
- Modeling Mental Workload Using EEG Features for Intelligent Systems
- Introduction
- Previous Work
- Methodology
- Subjective and Objective Measures of Workload
- EEG Recording
- Results and Discussions
- Cognitive Activity Results
- EEG Mental Workload Index
- Learning Activity Results
- Conclusion
- References
- Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited
- Introduction
- Adaptive Feedback in Our Exploratory Learning Environment
- The AHP&NN Feedback Prioritisation Approach
- Experimental Results
- Discussion and Conclusions
- References
- Performance Comparison of Item-to-Item Skills Models with the IRT Single Latent Trait Model
- Introduction
- Model with a Single Latent Trait: Item Response Theory
- Bayesian Models without Latent Skills
- Experiments
- Data Sets
- Simulation Methodology
- Results
- Discussion
- From Item-to-Item Models to Skills Assessment
- Q-Matrix vs. Skills as Latent Traits
- References
- Hybrid User Preference Models for Second Lifeand Open Simulator Virtual Worlds
- Introduction
- Background
- Virtual World Content and Users
- Document-Based User Models
- Location-Based User Models
- Collection and Profile Systems
- Collection System
- Profile System
- Analysis
- General Popularity Scores
- Pick-Based Personalized Scores
- Individual Component Analysis.
- Hybrid Profile Analysis.
- Results for Non-pick Parcels.
- Observed Location Personalized Scores
- Conclusion
- References
- Recipe Recommendation: Accuracy and Reasoning
- Introduction
- Related Work
- Recommender Strategies
- Evaluation
- Set-up
- Algorithm Accuracy
- Reasoning on User Input
- Applications of reasoning knowledge
- Summary
- Conclusions and Future Work
- References
- Tag-Based Resource Recommendation in Social Annotation Applications
- Introduction
- Background and Definitions
- Related Work
- Tag-Based Resource Recommendation Algorithms
- Linear-Weighted Hybrid
- Pair-Wise Interaction Tensor Factorization
- Experimental Evaluation
- Datasets
- Methodology
- Experimental Results
- Conclusions
- References
- The Impact of Rating Scales on User's Rating Behavior
- Introduction
- State of the Art
- A General Approach for Defining Rating Scales
- The Experiments
- The First Experiment
- The Second Experiment
- Conclusions
- References
- Looking Beyond Transfer Models: Finding Other Sources of Power for Student Models
- Introduction
- Predictive Factors for Student Modeling
- The Models
- Performance Factors Analysis
- The Overall Proficiencies Model
- A Hybrid Model - The Overall Student Proficiencies Model Emphasizing the Transfer Model
- Experiments and Results
- Question Difficulty vs. Transfer Model
- Student Proficiencies on Required Skills vs. Student Overall Proficiencies
- A Hybrid Model: Combining Overall Proficiencies and Transfer Models
- Contributions
- Future Work and Conclusions
- References
- Using Browser Interaction Data to Determine Page Reading Behavior
- Introduction
- Method and Experimental Setup
- Hypotheses
- Experiment Setup
- Evaluation of the Hypotheses
- From Hypotheses to Algorithm
- General Structure of the Algorithm
- The Weight Modifiers
- Results
- Conclusions and Ongoing Work
- References
- A User Interface for Semantic Competence Profiles
- Introduction
- Related Work
- System Architecture
- Navigation Component
- Versatile Ontology Navigation
- Assigning Values to Competences
- Presentation Component
- Evaluation
- Results and Findings
- Conclusion and Future Work
- References
- Open Social Student Modeling: Visualizing Student Models with Parallel IntrospectiveViews
- Introduction
- Related Work
- QuizJET Meets IntrospectiveViews
- The Classroom Study and the Results
- Effects on System Usage
- The Use of Peer Guidance
- Effects on Student Learning
- Subjective Evaluation Results
- Summary and Future Work
- References
- Location-Adapted Music Recommendation Using Tags
- Introduction
- Tagging Music and POIs
- Similarity Metrics
- System Evaluation
- Offline Similarity Metrics Comparison
- Online User Study
- Related Work
- Conclusions and Future Work
- References
- Leveraging Collaborative Filtering to Tag-Based Personalized Search
- Introduction
- Related Work
- Tag-Based Personalized Search
- Building a Model for Latent Tag Preference
- Building a Model for Latent Tag Annotation
- Personalized Searching and Ranking
- Computational Complexity
- Experiment Results
- Experiment Design and Metrics
- Sensitivity to Parameters
- The Impact of Normalizations
- Comparisons with Baseline Methods
- Conclusions and Future Work
- References
- Modelling Symmetry of Activity as an Indicator of Collocated Group Collaboration
- Introduction
- Related Work
- Theoretical Foundations: Group Cognition and Symmetry of Action
- Model of Symmetry
- Context of the Study
- Model of Symmetry as an Indicator of Collaboration
- Evaluation
- Experiment and Data Collection
- Clustering Group Interactions According to Their Collaboration and Symmetry
- Discussion
- Conclusions and Future Work
- References
- A Dynamic Sliding Window Approach for Activity Recognition
- Introduction
- Dynamic Windows Based on State Changes
- Kasteren Dataset
- Kasteren Models
- Patterson Dataset
- Patterson Models
- Experimental Results
- Related Work
- Conclusions
- References
- Early Detection of Potential Experts in Question Answering Communities
- Introduction
- Related Work
- Dataset Description
- Qualities of Potential Experts
- Early Identification of Potential Experts
- Learning Model
- Model Performance
- Balance Between Quality Measures
- Ranking Users on Quality Measures
- Human Evaluation
- User Ratings
- Assessment of Rating Aspects
- Conclusion and Future Work
- References
- KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model
- Introduction
- Knowledge Tracing
- Knowledge Tracing: Item Difficulty Effect Model (KT-IDEM)
- Datasets
- The ASSISTments Platform
- The Cognitive Tutor: Mastery Learning Datasets
- Methodology
- Training the Models
- Performing Predictions
- Results
- ASSISTments Platform
- Cognitive Tutor
- Discussion and Future Work
- Contribution
- References
- Walk the Talk
- Introduction
- Preliminaries and Related Work
- Experimental Setup
- General Analysis
- Effect of Other Independent Variables on Ratings
- Predicting ratings
- Conclusions and Future Work
- References
- Finding Someone You Will Like and Who Won't Reject You
- Introduction
- Literature Review
- RECON
- RECON Using Negative Preferences
- Evaluation
- Evaluation Metrics
- Results
- Concluding Remarks
- References
- Personalizing the Theme Park: Psychometric Profiling and Physiological Monitoring
- Introduction
- The Theme Park Environment
- An Overview of Alton Towers
- Challenges for User-Modeling and Personalization in the Theme Park
- Results of Studies Constructed around These Challenges
- Analysis One: Relationships between Personal Profiles and Ride Experience
- Analysis Two: Proof-of-Concept Evidence for Heart-Rate Monitoring
- Discussion
- Extending the Analysis to Multiple Rides
- Considering Groups in the Design of Future Systems
- Repeat Visits
- Optimization of the Use of Psychometric Personality Profiling
- Conclusions
- Reference
- Recognising and Recommending Context in Social Web Search
- Introduction
- A Review of HeyStaks
- Profiling Stak Pages
- Recommending Results: Relevance and Reputation
- Recognising Context and Recommending Staks
- Evaluation
- Setup
- Overall Recommendation Precision
- Precision vs. Stak Size
- Conclusions
- References
- Tags as Bridges between Domains: Improving Recommendation with Tag-Induced Cross-Domain Collaborative Filtering
- Introduction
- Related Work
- Tag-Induced Cross-Domain Collaborative Filtering
- Definition of Tag-Induced Cross-Domain Similarity
- Formulation of Tag-Induced Cross-Domain Collaborative Filtering
- Experimental Evaluation
- Experimental Framework
- Experimental Results
- Conclusions and Future Work
- References
- User Modeling - A Notoriously Black Art
- Introduction
- Predictive vs. Descriptive Modeling
- Data
- Subject Parameters as Fixed vs. Random Effects
- PFA Models
- Model Comparison Results
- Model Complexity and Parsimony
- Extended PFA Models
- Model Comparison Results
- Conclusions
- References
- Short Research Papers
- Selecting Items of Relevance in Social Network Feeds
- Introduction
- Related Work
- Activity Relevance Score Computation
- Evaluation
- Conclusions and Future Work
- References
- Enhancing Traditional Local Search Recommendations with Context-Awareness
- Introduction
- Related Work
- Context-Aware Recommendation for LBS
- Evaluation
- Conclusions
- References
- Gender Differences and the Value of Choice in Intelligent Tutoring Systems
- The Task Domain
- The ITS and Its Policies
- Experiment Protocol
- Results
- Discussion
- References
- Towards Understanding How Humans Teach Robots
- Introduction
- Methodology and Protocol
- Results: Analysis of Transcripts
- Modes of Instruction
- Teaching and Testing Patterns
- Teaching Styles
- Conclusions and Discussion
- References
- Towards Open Corpus Adaptive Hypermedia: A Study of Novelty Detection Approaches
- Introduction
- Novelty Detection for Educational AH
- Experimental Methodology
- Evaluation
- Conclusion
- References
- 4MALITY: Coaching Students with Different Problem- Solving Strategies Using an Online Tutoring System
- Introduction
- Evaluation Design
- Setting and Participants
- Procedures
- Results
- Conclusions and Future Work
- References
- Long Industry Papers
- Capitalizing on Uncertainty, Diversity and Change by Online Individualization of Functionality
- Context and Motivations for Participative Web Sites
- The Pull Model for Participative Personalization and Its Wide Applications
- The Role of Flexible Knowledge Models and Declarative Systems Like AOMs
- AOMs Allowing Personalization by Capturing Online Interaction Patterns
- Illustration and Design Goals
- Concept Illustration with the Well-Known Yahoo! Pipes
- Quality Requirements for Interaction Pattern Modeling Languages
- AAS-Platform Pillars: Purpose-Built Languages and Containers
- Implementing Interaction Modeling Languages by Reuse and Extension
- Illustration
- Adaptive Object-Models as Containers for Pull Service Platforms
- Summary of Contributions and Outlook
- References
- Prediction of Socioeconomic Levels Using Cell Phone Records
- Introduction
- Preliminaries
- Data Acquisition and Pre-Processing
- Cell Phone Traces and Behavioral Variables
- Socioeconomic Levels
- Matching Behavioral Variables with Socioeconomic Levels
- Feature Selection
- Top Features Selected
- SEL Prediction as a Classification Problem
- Support Vector Machines
- Random Forest
- SEL Prediction as a Regression Problem
- Conclusions
- References
- User Perceptions of Adaptivity in an Interactive Narrative
- Introduction
- Previous Work
- Perception of Adaptivity and Novelty
- Interactive Narrative and Recommender Systems
- The Reading Glove System
- The Reading Experience
- The Glove and Objects
- The Table and Reasoning Engine
- Recommender Types
- User Studies
- Study Protocol
- Participant Demographics
- Results and Discussion
- Basic Response to the System
- Response to Different Forms of Adaptivity
- Conclusions and Future Work
- References
- Doctoral Consortium Papers
- Performance Prediction in Recommender Systems
- Introduction
- Performance Prediction in Recommender Systems
- Conclusions and Future Work
- References
- Multi-perspective Context Modelling to Augment Adaptation in Simulated Learning Environments
- Research Problem
- Related Work and Main Contribution
- Proposed Solution
- Progress to Date and Future Work
- References
- Situation Awareness in Neurosurgery: A User Modeling Approach
- Introduction and Related Work
- Research Questions and Proposed Approach
- Preliminary Results and Future Work
- References
- Adaptive Active Learning in Recommender Systems
- Introduction
- Preliminary Results
- Current and Future Works
- Conclusion
- References
- Extending Sound Sample Descriptions through the Extraction of Community Knowledge
- Introduction and Related Work
- Freesound and Its Community
- Research Challenges and Work Plan
- Conclusions
- References
- Monitoring Contributions Online: A Reputation System to Model Expertise in Online Communities
- Problem Statement
- Contributions to the Field
- Proposed Solution
- Future Work
- References
- Student Procedural Knowledge Inference through Item Response Theory
- Introduction
- State of the Art
- The Proposal
- Current Research Lines
- References
- Differences on How People Organize and Think about Personal Information
- Introduction
- Research Goals
- Progress To Date
- Key Contributions
- References
- Towards Contextual Search: Social Networks, Short Contexts and Multiple Personas
- Introduction and Related Work
- Metadata Based Interest Modeling with Multiple Personas
- Research Focus and Future Work
- References
- Using Folksonomies for Building User Interest Profile
- Introduction
- Modeling User Interest Profile
- Results
- References
- Designing Trustworthy Adaptation on Public Displays
- Motivation
- Research Goal and Approach
- Research Progress and Future Plan
- Conclusion
- References
- Using Adaptive Empathic Responses to Improve Long-Term Interaction with Social Robots
- Introduction and Research Questions
- Progress to Date
- Proposed Solution
- Future Work
- References
- A User Modeling Approach to Support Knowledge Work in Socio-computational Systems
- Introduction
- User Modeling for Knowledge Work
- Proposed Approach and Preliminary Results
- Discussion and Future Plans
- References
- Modeling Individuals with Learning Disabilities to Personalize a Pictogram-Based Instant Messaging Service
- Introduction
- Adapting an Instant Messaging Service to Individuals with Learning Disabilities
- Modeling Individuals with Learning Disabilities to Personalize the Instant Messaging Client User Interface
- Conclusions and Planned Work
- References
- FamCHAI: An Adaptive Calendar Dialogue System
- Introduction
- Scheduling Dialogue Scenario
- Calendar Companion Dialogue System
- References
- Author Index
