Description |
1 online resource (xviii, 396 pages) : illustrations |
Series |
Lecture notes in computer science, 1611-3349 ; 7379 |
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LNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web and HCI |
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Lecture notes in computer science ; 7379. 1611-3349
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LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Contents |
Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks / Shlomo Berkovsky, Jill Freyne and Gregory Smith -- Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models / Fabian Bohnert, Ingrid Zukerman and David W. Albrecht -- GECKOmmender: Personalised Theme and Tour Recommendations for Museums / Fabian Bohnert, Ingrid Zukerman and Junaidy Laures -- Property-Based Interest Propagation in Ontology-Based User Model / Federica Cena, Silvia Likavec and Francesco Osborne -- EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes / Federico Cirett Galán and Carole R. Beal -- Preference Relation Based Matrix Factorization for Recommender Systems / Maunendra Sankar Desarkar, Roopam Saxena and Sudeshna Sarkar -- A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow / John Finnson, Jie Zhang, Thomas Tran, Umar Farooq Minhas and Robin Cohen -- A Comparative Study of Users' Microblogging Behavior on Sina Weibo and Twitter / Qi Gao, Fabian Abel, Geert-Jan Houben and Yong Yu -- Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy / Yue Gong, Joseph E. Beck and Carolina Ruiz -- A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems / Guibing Guo, Jie Zhang and Daniel Thalmann -- Exploring Gaze Data for Determining User Learning with an Interactive Simulation / Samad Kardan and Cristina Conati -- Studies to Determine User Requirements Regarding In-Home Monitoring Systems / Melanie Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell and Lucy Busija, et al. -- Improving Tensor Based Recommenders with Clustering / Martin Leginus, Peter Dolog and Valdas Žemaitis -- Models of User Engagement / Janette Lehmann, Mounia Lalmas, Elad Yom-Tov and Georges Dupret -- Improving the Performance of Unit Critiquing / Monika Mandl and Alexander Felfernig -- Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides / Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro and Marco de Gemmis, et al. -- Attention and Selection in Online Choice Tasks / Vidhya Navalpakkam, Ravi Kumar, Lihong Li and D. Sivakumar -- Investigating Explanations to Justify Choice / Ingrid Nunes, Simon Miles, Michael Luck and Carlos J.P. de Lucena -- The Effect of Suspicious Profiles on People Recommenders / Luiz Augusto Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef and Irena Koprinska, et al. -- Users and Noise: The Magic Barrier of Recommender Systems / Alan Said, Brijnesh J. Jain, Sascha Narr and Till Plumbaum -- Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information / Michael A. Sao Pedro, Ryan S.J. d. Baker and Janice D. Gobert -- Inferring Personality of Online Gamers by Fusing Multiple-View Predictions / Jianqiang Shen, Oliver Brdiczka, Nicolas Ducheneaut, Nicholas Yee and Bo Begole -- Towards Adaptive Information Visualization: On the Influence of User Characteristics / Dereck Toker, Cristina Conati, Giuseppe Carenini and Mona Haraty -- WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously / Michael Wixon, Ryan S.J. d. Baker, Janice D. Gobert, Jaclyn Ocumpaugh and Matthew Bachmann -- Adapting Performance Feedback to a Learner's Conscientiousness / Matt Dennis, Judith Masthoff and Chris Mellish -- A Multi-faceted User Model for Twitter / John Hannon, Kevin McCarthy, Michael P. O'Mahony and Barry Smyth -- Evaluating Rating Scales Personality / Tsvi Kuflik, Alan J. Wecker, Federica Cena and Cristina Gena -- Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors / Luc Paquette, Jean-François Lebeau and André Mayers -- Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State / David H. Shanabrook, Ivon Arroyo and Beverly Park Woolf -- Domain Ranking for Cross Domain Collaborative Filtering / Amit Tiroshi and Tsvi Kuflik -- User Modelling Ecosystems: A User-Centred Approach / Rainer Wasinger, Michael Fry, Judy Kay and Bob Kummerfeld -- Adaptive Score Reports / Diego Zapata-Rivera -- Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints / Behzad Beheshti and Michel Desmarais -- Evaluating an Implementation of an Adaptive Game-Based Learning Architecture / Florian Berger -- Towards a Generic Model for User Assistance / Blandine Ginon -- Resolving Data Sparsity and Cold Start in Recommender Systems / Guibing Guo -- Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments / Samad Kardan -- Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design / Luca Longo -- Detecting, Acquiring and Exploiting Contextual Information in Personalized Services / Ante Odić -- Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web / Fabrizio Orlandi -- User Feedback and Preferences Mining / Ladislav Peska -- Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces / Hilal Tarakci and Nihan Kesim Cicekli -- Facilitating Code Example Search on the Web through Expertise Personalization / Annie T.T. Ying |
Summary |
Annotation This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization, held in Montreal, Canada, in July 2012. The 22 long and 7 short papers of the Research Paper Track presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on user engagement; trust; user motivation, attention, and effort; recommender systems (including topics such as matrix factorization, critiquing, noise and spam in recommender systems); user centered design and evaluation; educational data mining; modeling learners; user models in microblogging; and visualization. The Industry Paper Track covered innovative commercial implementations or applications of UMAP technologies, and experience in applying recent research advances in practice. 2 long and 1 short papers were accepted of 5 submissions |
Analysis |
Computer science |
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Information storage and retrieval systems |
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Artificial intelligence |
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User Interfaces and Human Computer Interaction |
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Information Storage and Retrieval |
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Information Systems Applications (incl. Internet) |
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e-Commerce/e-business |
Bibliography |
Includes bibliographical references and author index |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 13, 2012) |
In |
Springer eBooks |
Subject |
Human-computer interaction -- Congresses
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User-centered system design -- Congresses
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Informatique.
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Human-computer interaction
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User-centered system design
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Masthoff, Judith
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ISBN |
9783642314544 |
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3642314546 |
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