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User Modeling, Adaptation, and Personalization

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Inhalt Keynote Speakers.- Modeling Emotion and Its Expression in Virtual Humans.- AdHeat - An Influence-Based Diffusion Model for ... Weiterlesen
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Beschreibung

Inhalt

Keynote Speakers.- Modeling Emotion and Its Expression in Virtual Humans.- AdHeat - An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads.- Full Research Papers.- Can Concept-Based User Modeling Improve Adaptive Visualization?.- Interweaving Public User Profiles on the Web.- Modeling Long-Term Search Engine Usage.- Analysis of Strategies for Building Group Profiles.- Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor.- Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners' Performance.- Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations.- Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail.- A User-and Item-Aware Weighting Scheme for Combining Predictive User Models.- PersonisJ: Mobile, Client-Side User Modelling.- Twitter, Sensors and UI: Robust Context Modeling for Interruption Management.- Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems.- Inducing Effective Pedagogical Strategies Using Learning Context Features.- "Yes!": Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities.- A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile.- Interaction and Personalization of Criteria in Recommender Systems.- Collaborative Inference of Sentiments from Texts.- User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System.- IntrospectiveViews: An Interface for Scrutinizing Semantic User Models.- Analyzing Community Knowledge Sharing Behavior.- A Data-Driven Technique for Misconception Elicitation.- Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing.- Detecting Gaming the System in Constraint-Based Tutors.- Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media.- A Study on User Perception of Personality-Based Recommender Systems.- Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling.- Industry Papers.- myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling.- User Modeling for Telecommunication Applications: Experiences and Practical Implications.- Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users.- Personalized Implicit Learning in a Music Recommender System.- Short Research Papers.- Personalised Pathway Prediction.- Towards a Customization of Rating Scales in Adaptive Systems.- Eye-Tracking Study of User Behavior in Recommender Interfaces.- Recommending Food: Reasoning on Recipes and Ingredients.- Disambiguating Search by Leveraging a Social Context Based on the Stream of User's Activity.- Features of an Independent Open Learner Model Influencing Uptake by University Students.- Doctoral Consortium Papers.- Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems.- Utilising User Texts to Improve Recommendations.- Semantically-Enhanced Ubiquitous User Modeling.- User Modeling Based on Emergent Domain Semantics.- "Biographic spaces": A Personalized Smoking Cessation Intervention in Second Life.- Task-Based User Modelling for Knowledge Work Support.- Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques.

Produktinformationen

Titel: User Modeling, Adaptation, and Personalization
Untertitel: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings
Editor:
EAN: 9783642134708
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 16.06.2010
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 10.73 MB
Anzahl Seiten: 428

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"