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

User Modeling, Adaptation, and Personalization 17th International Conference, UMAP 2009, formerly UM and AH, Trento, Italy, June 22-26, 2009, Proceedings / edited by Geert-Jan Houben, Gord McCalla, Fabio Pianesi, Massimo Zancanaro.

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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Houben, Geert-Jan (Editor), McCalla, Gord (Editor), Pianesi, Fabio (Editor), Zancanaro, Massimo (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 5535
Springer eBook Collection.
Subjects:
Artificial intelligence.
User interfaces (Computer systems).
Computer engineering.
Personal computers.
Application software.
Computers and civilization.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

Similar Items