User Modeling, Adaptation, and Personalization [recurso electrónico] 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014. Proceedings

This book constitutes the thoroughly refereed proceedings of the 22nd International Conference on User Modeling, Adaption and Personalization, held in Aalborg, Denmark, in July 2014. The 23 long and 19 short papers of the research paper track were carefully reviewed and selected from 146 submissions. The papers cover the following topics: large scale personalization, adaptation and recommendation; Personalization for individuals, groups and populations; modeling individuals, groups and communities; Web dynamics and personalization; adaptive web-based systems; context awareness; social recommendations; user experience; user awareness and control; Affective aspects; UMAP underpinning by psychology models; privacy; perceived security and trust; behavior change and persuasion. Front Matter....Pages - Modelling Long Term Goals....Pages 1-12 A Personalization Method Based on Human Factors for Improving Usability of User Authentication Tasks....Pages 13-24 The Magic Barrier of Recommender Systems – No Magic, Just Ratings....Pages 25-36 Toward Fully Automated Person-Independent Detection of Mind Wandering....Pages 37-48 Hybrid Recommendation in Heterogeneous Networks....Pages 49-60 Recommendation Based on Contextual Opinions....Pages 61-73 User Partitioning Hybrid for Tag Recommendation....Pages 74-85 Predicting User Locations and Trajectories....Pages 86-97 A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model....Pages 98-110 Time-Sensitive User Profile for Optimizing Search Personlization....Pages 111-121 A Computational Model for Mood Recognition....Pages 122-133 Privacy and User Trust in Context-Aware Systems....Pages 134-145 Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users....Pages 146-157 Toward a Personalized Approach for Combining Document Relevance Estimates....Pages 158-170 Adaptive Support versus Alternating Worked Examples and Tutored Problems: Which Leads to Better Learning?....Pages 171-182 Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations....Pages 183-194 Text-Based User-kNN: Measuring User Similarity Based on Text Reviews....Pages 195-206 Using DBpedia as a Knowledge Source for Culture-Related User Modelling Questionnaires....Pages 207-218 Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions....Pages 219-230 Evil Twins: Modeling Power Users in Attacks on Recommender Systems....Pages 231-242 Personality Profiling from Text: Introducing Part-of-Speech N -Grams....Pages 243-253 Collaborative Compound Critiquing....Pages 254-265 Sparrows and Owls: Characterisation of Expert Behaviour in StackOverflow....Pages 266-277 Generalizability of Goal Recognition Models in Narrative-Centered Learning Environments....Pages 278-289 Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science....Pages 290-300 Utilizing Mind-Maps for Information Retrieval and User Modelling....Pages 301-313 iSCUR: Interest and Sentiment-Based Community Detection for User Recommendation on Twitter....Pages 314-319 Towards Identifying Contextual Factors on Parking Lot Decisions....Pages 320-325 Trust-Based Decision-Making for Energy-Aware Device Management....Pages 326-337 Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models....Pages 338-349 The Role of Adaptive Elements in Web-Based Surveillance System User Interfaces....Pages 350-362 Uncovering Latent Knowledge: A Comparison of Two Algorithms....Pages 363-368 Client-Side Hybrid Rating Prediction for Recommendation....Pages 369-380 Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation....Pages 381-392 IntelWiki: Recommending Resources to Help Users Contribute to Wikipedia....Pages 393-404 Balancing Adaptivity and Customisation....Pages 405-410 Who’s Afraid of Job Interviews? Definitely a Question for User Modelling....Pages 411-422 Towards Understanding the Nonverbal Signatures of Engagement in Super Mario Bros....Pages 423-434 Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users....Pages 435-446 Graph-Based Recommendations: Make the Most Out of Social Data....Pages 447-458 Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback....Pages 459-470 When the Question is Part of the Answer: Examining the Impact of Emotion Self-reports on Student Emotion....Pages 471-477 Enhancing Exploratory Information-Seeking through Interaction Modeling....Pages 478-483 Hybrid Solution of the Cold-Start Problem in Context-Aware Recommender Systems....Pages 484-489 Improving Mobile Recommendations through Context-Aware User Interaction....Pages 490-495 Personalized Cultural Heritage Experience Outside the Museum: Connecting the Museum Experience to the Outside World....Pages 496-501 Personality Profiling from Text and Grammar....Pages 502-507 Back Matter....Pages -