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Geert-Jan Houben, Gord McCalla, Fabio Pianesi and Massimo Zancanaro
Front matter
1
Social Computers for the Social Animal: State-of-the-Art and Future Perspectives of Social Signal Processing
2
Thinking Outside the (Search) Box
3
Challenges for the Multi-dimensional Personalised Web
4-15
Modeling User Affect from Causes and Effects
16-29
Evaluating Web Based Instructional Models Using Association Rule Mining
30-41
Sensors Model Student Self Concept in the Classroom
42-53
Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses
54-65
Narcissus: Group and Individual Models to Support Small Group Work
66-77
Social Navigation Support for Information Seeking: If You Build It, Will They Come?
78-89
Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites
90-101
Creating User Profiles from a Command-Line Interface: A Statistical Approach
102-113
Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data
114-125
Modeling the Personality of Participants During Group Interactions
126-137
Predicting Customer Models Using Behavior-Based Features in Shops
138-149
Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling
150-161
Describing User Interactions in Adaptive Interactive Systems
162-172
PerspectiveSpace: Opinion Modeling with Dimensionality Reduction
173-184
Recognition of User Intentions for Interface Agents with Variable Order Markov Models
185-196
Tell Me Where You’ve Lived, and I’ll Tell You What You Like: Adapting Interfaces to Cultural Preferences
197-209
Non-intrusive Personalisation of the Museum Experience
210-222
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
223-234
SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems
235-246
Grocery Product Recommendations from Natural Language Inputs
247-258
I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems
259-270
Evaluating Interface Variants on Personality Acquisition for Recommender Systems
271-282
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation
283-294
Google Shared. A Case-Study in Social Search
295-306
Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities
307-318
Enhancing Mobile Recommender Systems with Activity Inference
319-324
Customer’s Relationship Segmentation Driving the Predictive Modeling for Bad Debt Events
325-330
Supporting Personalized User Concept Spaces and Recommendations for a Publication Sharing System
331-336
Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab Study
337-342
Capturing the User’s Reading Context for Tailoring Summaries
343-348
History Dependent Recommender Systems Based on Partial Matching
349-354
Capturing User Intent for Analytic Process
355-360
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
361-366
Investigating the Possibility of Adaptation and Personalization in Virtual Environments
367-372
Detecting Guessed and Random Learners’ Answers through Their Brainwaves
373-378
Just-in-Time Adaptivity through Dynamic Items
379-384
Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks
385-390
Working Memory Differences in E-Learning Environments: Optimization of Learners’ Performance through Personalization
391-396
Semantic Web Usage Mining: Using Semantics to Understand User Intentions
397-402
Adaptive Tips for Helping Domain Experts
403-408
On User Modelling for Personalised News Video Recommendation
409-414
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
415-421
Recognition of Users’ Activities Using Constraint Satisfaction
422-427
Reinforcing Recommendation Using Implicit Negative Feedback
428-434
Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling Infrastructure
435-440
User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
441-446
Filtering Fitness Trail Content Generated by Mobile Users
447-453
Adaptive Clustering of Search Results
454-460
What Do Academic Users Really Want from an Adaptive Learning System?
461-466
How Users Perceive and Appraise Personalized Recommendations
467-473
Towards Web Usability: Providing Web Contents According to the Readers Contexts
474-479
Plan Recognition of Movement
480-485
Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content
Back matter
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