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|a 9783642022470
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|a Houben, Geert-Jan
|e [editor]
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|a User Modeling, Adaptation, and Personalization
|h Elektronische Ressource
|b 17th International Conference, UMAP 2009, formerly UM and AH, Trento, Italy, June 22-26, 2009, Proceedings
|c edited by Geert-Jan Houben, Gord McCalla, Fabio Pianesi, Massimo Zancanaro
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|a 1st ed. 2009
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
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|a XVII, 488 p
|b online resource
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|a 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 --
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|a 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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|a 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 -- ILike It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems --
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|a 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 ConstraintSatisfaction -- Reinforcing Recommendation Using Implicit Negative Feedback -- Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling Infrastructure --
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|a 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 --
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|a User interfaces (Computer systems)
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|a Personal Computing
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|a Computers and Society
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|a Artificial Intelligence
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|a Application software
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|a Computer networks
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|a Computer Engineering and Networks
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|a Microcomputers
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|a Artificial intelligence
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|a Computer engineering
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|a Computer and Information Systems Applications
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|a User Interfaces and Human Computer Interaction
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|a Human-computer interaction
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|a Computers and civilization
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|a McCalla, Gord
|e [editor]
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|a Pianesi, Fabio
|e [editor]
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|a Zancanaro, Massimo
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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|a 10.1007/978-3-642-02247-0
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|u https://doi.org/10.1007/978-3-642-02247-0?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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
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