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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Houben, Geert-Jan (Editor ), McCalla, Gord (Editor ), Pianesi, Fabio (Editor ), Zancanaro, Massimo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 5535
Temas:
Artificial intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Computer engineering.
Computer networks .
Microcomputers.
Application software.
Computers and civilization.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Computer Engineering and Networks.
Personal Computing.
Computer and Information Systems Applications.
Computers and Society.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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