User Modeling, Adaptation, and Personalization 17th International Conference, UMAP 2009, formerly UM and AH, Trento, Italy, June 22-26, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Houben, Geert-Jan (Επιμελητής έκδοσης), McCalla, Gord (Επιμελητής έκδοσης), Pianesi, Fabio (Επιμελητής έκδοσης), Zancanaro, Massimo (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Lecture Notes in Computer Science, 5535
• Θέματα: Computer science.; User interfaces (Computer systems).; Artificial intelligence.; Computers and civilization.; Personal computers.; Computer engineering.; Computer Science.; Artificial Intelligence (incl. Robotics).; User Interfaces and Human Computer Interaction.; Computer Engineering.; Personal Computing.; Information Systems Applications (incl. Internet).; Computers and Society.

This book constitutes the proceedings of the First International Conference on User Modeling, Adaptation, and Personalization, held in Trento, Italy, on June 22-26, 2009. This annual conference was merged from the biennial conference series User Modeling, UM, and the conference on Adaptive Hypermedi...

Πίνακας περιεχομένων:

• Invited Talks (Abstracts)
• Social Computers for the Social Animal: State-of-the-Art and Future Perspectives of Social Signal Processing
• Thinking Outside the (Search) Box
• Challenges for the Multi-dimensional Personalised Web
• Peer-reviewed Papers
• Modeling User Affect from Causes and Effects
• Evaluating Web Based Instructional Models Using Association Rule Mining
• Sensors Model Student Self Concept in the Classroom
• Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses
• Narcissus: Group and Individual Models to Support Small Group Work
• Social Navigation Support for Information Seeking: If You Build It, Will They Come?
• Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites
• Creating User Profiles from a Command-Line Interface: A Statistical Approach
• Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data
• Modeling the Personality of Participants During Group Interactions
• Predicting Customer Models Using Behavior-Based Features in Shops
• Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling
• Describing User Interactions in Adaptive Interactive Systems
• PerspectiveSpace: Opinion Modeling with Dimensionality Reduction
• Recognition of User Intentions for Interface Agents with Variable Order Markov Models
• Tell Me Where You’ve Lived, and I’ll Tell You What You Like: Adapting Interfaces to Cultural Preferences
• Non-intrusive Personalisation of the Museum Experience
• Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
• SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems
• Grocery Product Recommendations from Natural Language Inputs
• I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems
• Evaluating Interface Variants on Personality Acquisition for Recommender Systems
• Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation
• Google Shared. A Case-Study in Social Search
• Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities
• Enhancing Mobile Recommender Systems with Activity Inference
• Customer’s Relationship Segmentation Driving the Predictive Modeling for Bad Debt Events
• Supporting Personalized User Concept Spaces and Recommendations for a Publication Sharing System
• Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab Study
• Capturing the User’s Reading Context for Tailoring Summaries
• History Dependent Recommender Systems Based on Partial Matching
• Capturing User Intent for Analytic Process
• What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
• Investigating the Possibility of Adaptation and Personalization in Virtual Environments
• Detecting Guessed and Random Learners’ Answers through Their Brainwaves
• Just-in-Time Adaptivity through Dynamic Items
• Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks
• Working Memory Differences in E-Learning Environments: Optimization of Learners’ Performance through Personalization
• Semantic Web Usage Mining: Using Semantics to Understand User Intentions
• Adaptive Tips for Helping Domain Experts
• On User Modelling for Personalised News Video Recommendation
• A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
• Recognition of Users’ Activities Using Constraint Satisfaction
• Reinforcing Recommendation Using Implicit Negative Feedback
• Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling Infrastructure
• User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
• Filtering Fitness Trail Content Generated by Mobile Users
• Adaptive Clustering of Search Results
• What Do Academic Users Really Want from an Adaptive Learning System?
• How Users Perceive and Appraise Personalized Recommendations
• Towards Web Usability: Providing Web Contents According to the Readers Contexts
• Plan Recognition of Movement
• Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content.