http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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 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.
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.
edited by Geert-Jan Houben, Gord McCalla, Fabio Pianesi, Massimo Zancanaro.
Artificial Intelligence (incl. Robotics)
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)