Abstract is missing.
- Social Computers for the Social Animal: State-of-the-Art and Future Perspectives of Social Signal ProcessingAlessandro Vinciarelli. 1 [doi]
- Thinking Outside the (Search) BoxSusan T. Dumais. 2 [doi]
- Challenges for the Multi-dimensional Personalised WebVincent Wade. 3 [doi]
- Modeling User Affect from Causes and EffectsCristina Conati, Heather Maclaren. 4-15 [doi]
- Evaluating Web Based Instructional Models Using Association Rule MiningEnrique GarcÃa, Cristóbal Romero, Sebastián Ventura, Carlos de Castro. 16-29 [doi]
- Sensors Model Student Self Concept in the ClassroomDavid G. Cooper, Ivon Arroyo, Beverly Park Woolf, Kasia Muldner, Winslow Burleson, Robert Christopherson. 30-41 [doi]
- Use and Trust of Simple Independent Open Learner Models to Support Learning within and across CoursesSusan Bull, Peter Gardner, Norasnita Ahmad, Jeffrey Ting, Ben Clarke. 42-53 [doi]
- Narcissus: Group and Individual Models to Support Small Group WorkKimberley Upton, Judy Kay. 54-65 [doi]
- Social Navigation Support for Information Seeking: If You Build It, Will They Come?Rosta Farzan, Peter Brusilovsky. 66-77 [doi]
- Performance Evaluation of a Privacy-Enhancing Framework for Personalized WebsitesYang Wang 0005, Alfred Kobsa. 78-89 [doi]
- Creating User Profiles from a Command-Line Interface: A Statistical ApproachJosé Antonio Iglesias, Agapito Ledezma, Araceli SanchÃs. 90-101 [doi]
- Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation DataChihiro Ono, Yasuhiro Takishima, Yoichi Motomura, Hideki Asoh. 102-113 [doi]
- Modeling the Personality of Participants During Group InteractionsBruno Lepri, Nadia Mana, Alessandro Cappelletti, Fabio Pianesi, Massimo Zancanaro. 114-125 [doi]
- Predicting Customer Models Using Behavior-Based Features in ShopsJunichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Kenro Aihara, Hideaki Takeda. 126-137 [doi]
- Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User ModelingKasia Muldner, Robert Christopherson, Robert Atkinson, Winslow Burleson. 138-149 [doi]
- Describing User Interactions in Adaptive Interactive SystemsMatthias Bezold. 150-161 [doi]
- PerspectiveSpace: Opinion Modeling with Dimensionality ReductionJason B. Alonso, Catherine Havasi, Henry Lieberman. 162-172 [doi]
- Recognition of User Intentions for Interface Agents with Variable Order Markov ModelsMarcelo Armentano, AnalÃa Amandi. 173-184 [doi]
- Tell Me Where You ve Lived, and I ll Tell You What You Like: Adapting Interfaces to Cultural PreferencesKatharina Reinecke, Abraham Bernstein. 185-196 [doi]
- Non-intrusive Personalisation of the Museum ExperienceFabian Bohnert, Ingrid Zukerman. 197-209 [doi]
- Assessing the Impact of Measurement Uncertainty on User Models in Spatial DomainsDaniel F. Schmidt, Ingrid Zukerman, David W. Albrecht. 210-222 [doi]
- SoNARS: A Social Networks-Based Algorithm for Social Recommender SystemsFrancesca Carmagnola, Fabiana Vernero, Pierluigi Grillo. 223-234 [doi]
- Grocery Product Recommendations from Natural Language InputsPetteri Nurmi, Andreas Forsblom, Patrik Floréen. 235-246 [doi]
- I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender SystemsXavier Amatriain, Josep M. Pujol, Nuria Oliver. 247-258 [doi]
- Evaluating Interface Variants on Personality Acquisition for Recommender SystemsGreg Dunn, Jurgen Wiersema, Jaap Ham, Lora Aroyo. 259-270 [doi]
- Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical GeneralisationMihaela Cocea, George D. Magoulas. 271-282 [doi]
- Google Shared. A Case-Study in Social SearchBarry Smyth, Peter Briggs, Maurice Coyle, Michael P. O Mahony. 283-294 [doi]
- Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure ActivitiesNicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Michael Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole. 295-306 [doi]
- Enhancing Mobile Recommender Systems with Activity InferenceKurt Partridge, Bob Price. 307-318 [doi]
- Customer s Relationship Segmentation Driving the Predictive Modeling for Bad Debt EventsCarlos André Reis Pinheiro, Markus Helfert. 319-324 [doi]
- Supporting Personalized User Concept Spaces and Recommendations for a Publication Sharing SystemAntonina Dattolo, Felice Ferrara, Carlo Tasso. 325-330 [doi]
- Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab StudyTobias Ley, Barbara Kump, Antonia Maas, Neil A. M. Maiden, Dietrich Albert. 331-336 [doi]
- Capturing the User s Reading Context for Tailoring SummariesCécile Paris, Stephen Wan. 337-342 [doi]
- History Dependent Recommender Systems Based on Partial MatchingArmelle Brun, Geoffray Bonnin, Anne Boyer. 343-348 [doi]
- Capturing User Intent for Analytic ProcessEugene Santos Jr., Hien Nguyen, John T. Wilkinson, Fei Yu, Deqing Li, Keum Joo Kim, Russell Jacob, Adam Olson. 349-354 [doi]
- What Have the Neighbours Ever Done for Us? A Collaborative Filtering PerspectiveRachael Rafter, Michael P. O Mahony, Neil J. Hurley, Barry Smyth. 355-360 [doi]
- Investigating the Possibility of Adaptation and Personalization in Virtual EnvironmentsJohanna Renny Octavia, Chris Raymaekers, Karin Coninx. 361-366 [doi]
- Detecting Guessed and Random Learners Answers through Their BrainwavesAlicia Heraz, Claude Frasson. 367-372 [doi]
- Just-in-Time Adaptivity through Dynamic ItemsCarsten Ullrich, Tianxiang Lu, Erica Melis. 373-378 [doi]
- Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge NetworksDoreen Böhnstedt, Philipp Scholl, Christoph Rensing, Ralf Steinmetz. 379-384 [doi]
- Working Memory Differences in E-Learning Environments: Optimization of Learners Performance through PersonalizationNikos Tsianos, Panagiotis Germanakos, Zacharias Lekkas, Costas Mourlas, George Samaras, Marios Belk. 385-390 [doi]
- Semantic Web Usage Mining: Using Semantics to Understand User IntentionsTill Plumbaum, Tino Stelter, Alexander Korth. 391-396 [doi]
- Adaptive Tips for Helping Domain ExpertsAlana Cordick, Judi McCuaig. 397-402 [doi]
- On User Modelling for Personalised News Video RecommendationFrank Hopfgartner, Joemon M. Jose. 403-408 [doi]
- A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue SystemKazunori Komatani, Tatsuya Kawahara, Hiroshi G. Okuno. 409-414 [doi]
- Recognition of Users Activities Using Constraint SatisfactionSwapna Reddy, Ya akov Gal, Stuart M. Shieber. 415-421 [doi]
- Reinforcing Recommendation Using Implicit Negative FeedbackDanielle H. Lee, Peter Brusilovsky. 422-427 [doi]
- Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling InfrastructureDemetris Kyriacou, Hugh C. Davis, Thanassis Tiropanis. 428-434 [doi]
- User Modeling of Disabled Persons for Generating Instructions to Medical First RespondersLuca Chittaro, Roberto Ranon, Luca De Marco, Augusto Senerchia. 435-440 [doi]
- Filtering Fitness Trail Content Generated by Mobile UsersFabio Buttussi, Luca Chittaro, Daniele Nadalutti. 441-446 [doi]
- Adaptive Clustering of Search ResultsXuehua Shen, ChengXiang Zhai, Nicholas J. Belkin. 447-453 [doi]
- What Do Academic Users Really Want from an Adaptive Learning System?Martin Harrigan, Milos Kravcik, Christina Steiner, Vincent Wade. 454-460 [doi]
- How Users Perceive and Appraise Personalized RecommendationsNicolas Jones, Pearl Pu, Li Chen. 461-466 [doi]
- Towards Web Usability: Providing Web Contents According to the Readers ContextsMohanad Al-Jabari, Michael Mrissa, Philippe Thiran. 467-473 [doi]
- Plan Recognition of MovementDavid N. Chin, Dong-Wan Kang, Curtis S. Ikehara. 474-479 [doi]
- Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web ContentIan O Keeffe, Vincent Wade. 480-485 [doi]