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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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Houben, Geert-Jan, editor.
McCalla, Gordon, editor.
Pianesi, Fabio, editor.
Zancanaro, Massimo, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 5535.
Information Systems and Applications, incl. Internet/Web, and HCI ; 5535
Language:
English
Subjects (All):
Artificial intelligence.
User interfaces (Computer systems).
Computer engineering.
Microcomputers.
Application software.
Computers and civilization.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Computer Engineering.
Personal Computing.
Information Systems Applications (incl. Internet).
Computers and Society.
Local Subjects:
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Computer Engineering.
Personal Computing.
Information Systems Applications (incl. Internet).
Computers and Society.
Physical Description:
1 online resource (XVII, 488 pages).
Edition:
First edition 2009.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
System Details:
text file PDF
Summary:
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 Hypermedia and Adaptive Web-Based Systems, AH. The 53 papers presented together with 3 invited talks were carefully reviewed and selected from 125 submissions. The tutorials and workshops were organized in topical sections on constraint-based tutoring systems; new paradigms for adaptive interaction; adaption and personalization for Web 2.0; lifelong user modelling; personalization in mobile and pervasive computing; ubiquitous user modeling; user-centred design and evaluation of adaptive systems.
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.
Other Format:
Printed edition:
ISBN:
978-3-642-02247-0
9783642022470
Access Restriction:
Restricted for use by site license.

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