User Modeling, Adaptation, and Personalization
20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings
Published on 19. June 2012
XVIII, 396 pages
978-3-642-31454-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization, held in Montreal, Canada, in July 2012. The 22 long and 7 short papers of the Research Paper Track presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on user engagement; trust; user motivation, attention, and effort; recommender systems (including topics such as matrix factorization, critiquing, noise and spam in recommender systems); user centered design and evaluation; educational data mining; modeling learners; user models in microblogging; and visualization. The Industry Paper Track covered innovative commercial implementations or applications of UMAP technologies, and experience in applying recent research advances in practice. 2 long and 1 short papers were accepted of 5 submissions.
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Judith Masthoff | Bamshad Mobasher | Michel Desmarais
User Modeling, Adaptation, and Personalization
20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings
Book
06/2012
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- Long Papers
- Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks
- Introduction
- Related Work
- The Online Total Wellbeing Diet Portal
- Personalized News Feeds
- Evaluation
- Activity Feed Uptake
- Feed Ranking
- Impact on User Activities
- Feeds and Friending
- Conclusions and Future Work
- References
- Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models
- Introduction
- Related Research
- Prerequisites
- Simulation of Coordinate-Based Visitor Pathways
- Generating Walking Squares
- Generating Hovering Squares
- Smoothing the Trajectory of Squares
- Simulating Sensor Noise
- Inference and Prediction of Viewed Exhibits from Coordinates
- Classification-Based Inference of Walking and Hovering
- Score-Based Inference of Exhibits
- Model-Based Prediction of Exhibits
- Evaluation
- Experiments and Results
- Conclusions
- References
- GECKOmmender: Personalised Theme and Tour Recommendations for Museums
- Introduction
- Related Research
- Personalised Exhibit Theme and Tour Recommendations
- Core Functionality
- Recommendation Presentation
- Evaluation
- Field Study Procedures
- Results
- Conclusions
- References
- Property-Based Interest Propagation in Ontology-Based User Model
- Introduction
- Background: Properties in OWL
- Property-Based Similarity and Relatedness of Domain Elements
- User Model
- User Model Definition
- User Feedback
- User Model Update and Interest Propagation
- Evaluation
- Related Work
- Conclusions and Future Work
- References
- EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes
- Introduction
- Prior Work
- Methodology
- EEG Data Acquisition
- Self Report
- Data Analysis
- Data Processing
- SVM Classification
- Results
- SVM Predictions
- Relation of EEG and Self-report Data
- Discussion
- References
- Preference Relation Based Matrix Factorization for Recommender Systems
- Introduction
- Related Work
- Using Preference Relations in the Matrix Factorization Framework
- Preliminaries and Problem Definition
- Details of Our Approach
- Learning the Factorization Model
- Recommendation Generation
- Complexity of the Approach
- Evaluation
- Dataset Used
- Algorithms Compared
- Experimental Results
- Discussion on the Results
- Conclusion
- References
- A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow
- Introduction
- Multi-faceted Trust Model
- Majority Consensus
- Messaging in Support of Trust Modeling
- Simulation Framework
- Simulation Evaluation
- Discussion
- References
- A Comparative Study of Users' Microblogging Behavior on Sina Weibo and Twitter
- Introduction
- Related Work
- Research Methodology and Evaluation Platform
- Research Questions
- Evaluation Platform
- Analysis of User Behavior on Sina Weibo and Twitter
- Analysis of Access Behavior
- Syntactic Content Analysis
- Semantic Content Analysis
- Sentiment Analysis
- Analysis of Temporal Behavior
- Discussion
- References
- Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
- Introduction
- Motivation
- The Base Classifier: Performance Factors Analysis
- Approach
- Rationale: Modeling Multiple Distributions of Student Performances
- Distinguish Samples of Multiple Distributions
- Learn Multiple Classification Models
- Select a Classification Model for an Unknown Instance
- Experiment and Results
- Data and Performance Metrics
- Results
- Contributions
- Future Work and Conclusions
- References
- A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems
- Introduction
- Related Work
- The Merge Method
- Merging the Ratings of Trusted Neighbors
- Incorporating with Collaborative Filtering
- The Insights of the Merge Method
- Experimental Validation
- Data Acquisition
- Experimental Settings
- The Performance of the Merge Method
- The Effect of the Similarity Threshold ?
- Conclusion and Future Work
- References
- Exploring Gaze Data for Determining User Learning with an Interactive Simulation
- Introduction
- Related Work
- The AISpace CSP Applet
- User Study
- Data Preparation and Preprocessing
- Eye Gaze Features
- Classifying Learners Based on Gaze Data
- User classification Based on the Whole Interaction Dataset
- User classification Based on the Interaction Evolution Dataset
- Conclusion and Future Work
- References
- Studies to Determine User Requirements Regarding In-Home Monitoring Systems
- Introduction
- Related Research
- User Studies
- Study Population and Recruitment
- Brainstorming Sessions and Statement Assessment
- Questionnaires
- Methodology
- Concept Mapping
- Questionnaires
- Results
- Clustering
- Rating
- Questionnaires
- Discussion
- References
- Improving Tensor Based Recommenders with Clustering
- Introduction
- Related Work
- Clustered Tag Space and GA
- Motivation
- Higher-Order Singular Value Decomposition (HOSVD)
- Cluster Analysis of Tags
- GA - Tuning Tensor Based Recommenders
- Experiments
- Baseline
- Clustered Tag Space
- Conclusion and Future Work
- References
- Models of User Engagement
- Introduction
- Related Work
- Metrics and Interaction Data
- Diversity in Engagement
- Models of User Engagement
- General Models
- User-Based Models
- Time-Based Models
- Relationship between Models
- Conclusions and Future Work
- References
- Improving the Performance of Unit Critiquing
- Introduction
- Unit Critiquing Based Recommendation
- Conventional Critiquing - Tweaking
- Experience-Based Critiquing
- Algorithm: Nearest Neighbor Compatibility Critiquing
- Ensemble-Based Variation
- Evaluation
- Results
- Related Work
- Conclusion
- References
- Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides
- Introduction
- Motivating Scenario
- TV-Show Representation Using Explicit Semantic Analysis
- TV-Show Ranked Retrieval
- Experimental Evaluation
- Experiment 1: Evaluation of the Ranked Retrieval Task
- Experiment 2: Evaluation of the Feature Generation Process
- Related Work
- Conclusions and Future Work
- References
- Attention and Selection in Online Choice Tasks
- Introduction
- Related Work
- Experiment Setup
- Experimental Results
- Metrics
- Results
- Predictive Models
- Attention Transition Models
- Parameter Fitting
- Model Simulations
- Conclusions
- References
- Investigating Explanations to Justify Choice
- Introduction
- Description
- Procedure
- Participants
- Results and Analysis
- Guidelines and Patterns
- Guidelines
- Patterns
- Related Work
- Conclusion
- References
- The Effect of Suspicious Profiles on People Recommenders
- Introduction
- Literature Review
- Security of Recommender Systems
- Experimental Design
- Corpus of Suspicious Profiles
- Effect of Suspicious Profiles on Recommenders
- Minimising the Effect of Suspicious Profiles on Recommenders
- Conclusions
- References
- Users and Noise: The Magic Barrier of Recommender Systems
- Introduction
- Related Work
- The Empirical Risk Minimization Principle
- The Traditional Setting of a Recommendation Task
- Recommendation as Risk Minimization
- The Magic Barrier
- A Statistical Model for Users' Inconsistencies
- Deriving the Magic Barrier
- Estimating the Magic Barrier
- Case Study Using a Commercial Movie Recommender
- Moviepilot
- Data
- Experimental Setup
- Results
- Conclusion
- References
- Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information
- Introduction
- Background and Datasets
- Learning Environment and Behaviors of Interest
- Labeling Behaviors within the Learning Environment
- Data Sets
- Feature Selection and Detector Construction
- Removed Correlated Features (RCF) Detector Construction
- Improved Construct Validity (ICV) Detector Construction
- Results: Comparing Predictive Capabilities of Detectors
- Comparing Detectors' Overall Performance
- Comparing Detectors' Performance Predicting with Less Data
- Discussion and Conclusions
- References
- Inferring Personality of Online Gamers by Fusing Multiple-View Predictions
- Introduction
- Related Work
- Personality in Virtual Worlds
- The Big 5 Model
- World of Warcraft
- Data Collection
- Personality Inference
- Behavioral Information
- Text Analysis
- Social Network Analysis
- Fusing Predictors
- Experimental Results
- Conclusion
- References
- Towards Adaptive Information Visualization: On the Influence of User Characteristics
- Introduction
- Related Work
- User Study to Compare Radar and Bar Graphs
- Individual Characteristics Explored in the Study
- Participants and Experimental Tasks
- Study Design
- Procedure
- Measures
- Data Analysis and Results
- Completion Time - Single Scenario
- Completion Time - Double Scenario
- User Preference and Ease of Use
- Discussion - Envisioning Adaptive Interventions
- Conclusion and Future Work
- References
- WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously
- Introduction
- Data Set
- WTF Detector
- Obtaining Ground Truth Labels of WTF Behavior Using Text Replays
- Data Features
- Detector Development
- Results
- Discussion and Conclusions
- References
- Short Papers
- Adapting Performance Feedback to a Learner's Conscientiousness
- Introduction
- Study Design
- Design
- Participants
- Hypotheses
- Study Results
- Comparing Slants Where the Grades Are Passing
- Comparing Slants Where the Grades Are Failing
- Topics
- Discussion and Future Work
- References
- A Multi-faceted User Model for Twitter
- Introduction
- Intentional and Extensional Tag-Based User Models
- Profile Facets
- Preliminary Investigation
- Conclusions
- References
- Evaluating Rating Scales Personality
- Introduction
- The Rating Scales: An Analysis
- The Experiments
- Conclusion
- References
- Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors
- Introduction
- Knowledge Representation
- Modeling Erroneous Knowledge
- Repairs
- Conclusion
- References
- Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State
- Introduction
- mathTouch System
- Description
- Implementation
- Testing Environment
- Findings
- Discussion and Future Work
- References
- Domain Ranking for Cross Domain Collaborative Filtering
- Introduction
- Background
- Cross Domain Recommendation Using SNS data
- Discussion and Conclusions
- References
- User Modelling Ecosystems: A User-Centred Approach
- Introduction
- Related Work
- The Personis User Modelling Ecosystem
- User-Centred Study into UM Design Requirements
- Conclusions
- References
- Adaptive Score Reports
- Introduction
- The Case for Adaptive Score Reports
- An Interactive Score Report for Students
- Adaptive Features
- Future Work
- References
- Doctoral Consortium
- Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints
- Introduction
- Q-Matrix and Matrix Factorization
- Constraints on the Factorization
- Factorization Algorithm
- Problem Specification
- Hypothesis
- POKS Constraints on the Matrices V, W, and H
- Validation
- Conclusion
- References
- Evaluating an Implementation of an Adaptive Game-Based Learning Architecture
- Research Topic: Adaptivity in Game-Based Learning
- Proposed Contributions
- A Sound Educational Game
- Adaptivity
- Trial
- Status and Remaining Work
- Research Questions
- References
- Towards a Generic Model for User Assistance
- Introduction
- User Assistance
- Our Approach of Assistance to User
- Conclusion and Perspectives
- References
- Resolving Data Sparsity and Cold Start in Recommender Systems
- Research Problems
- Progress to Date
- Incorporating Trust with Collaborative Filtering
- Recommender Systems in Virtual Reality
- Future Research
- References
- Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments
- Background and Motivation
- Goals and Objectives
- Approach and Expected Contributions
- References
- Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design
- Introduction
- Human Mental Workload
- Argumentation Theory
- Proposal
- Evaluation Strategy
- Key contributions
- References
- Detecting, Acquiring and Exploiting Contextual Information in Personalized Services
- Introduction
- Goals to Achieve
- Work Done So Far
- Contributions
- References
- Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web
- Introduction
- Research Contributions
- Current and Future Work
- Conclusions and Future Research Questions
- References
- User Feedback and Preferences Mining
- Introduction, Motivation, Contribution and Related Work
- Models of User's Preference and Methods How to Learn Them
- Conclusions and Future Work
- References
- Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces
- Introduction
- User Model Construction by Mining Socially Enhanced Online Traces
- Unified Fuzzy Hypergraph User Model Structure
- Conclusion
- References
- Facilitating Code Example Search on the Web through Expertise Personalization
- Research Problem and Solution Outline
- Proposed Solutions
- User Profiles Based on Programmer Expertise (RQ1)
- Applying the User Profiles (RQ2 and RQ3)
- Progress to Date
- References
- Author Index
