Long presentations:
A Personalisation Method based on Human Factors for Improving Usability of User Authentication Tasks
Marios Belk, Panagiotis Germanakos, Christos Fidas and George Samaras
Toward Fully Automated Person-Independent Detection of Mind Wandering
Robert Bixler and Sidney D'Mello
Adaptive support versus alternating worked examples and tutored problems: Which leads to better learning?
Amir Shareghi Najar, Tanja Mitrovic and Bruce M. McLaren
Recommendation based on Contextual Opinion
Guanliang Chen and Li Chen
Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations
Ben Steichen, Michael M.A. Wu, Dereck Toker, Cristina Conati and Giuseppe Carenini
Eye tracking to understand user differences in visualization processing with highlighting interventions
Dereck Toker and Cristina Conati
A computational model for mood recognition
Christina Katsimerou, Judith Redi and Ingrid Heynderickx
Modelling Long term Goals
Debjanee Barua, Judy Kay, Bob Kummerfeld and Cecile Paris
The Magic Barrier of Recommender Systems -- No Magic, Just Ratings
Alejandro Bellogin, Alan Said and Arjen de Vries
A Two-Stage Item Recommendation Method using Probabilistic Ranking with Reconstructed Tensor Model
Noor Ifada and Richi Nayak
Personality profiling from text: Introducing Part-of-speech N-grams
William Wright and David Chin
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users
Pawel Matuszyk and Myra Spiliopoulou
Collaborative Compound Critiquing
Haoran Xie, Li Chen and Feng Wang
Text-based User-kNN: measuring user similarity based on text reviews
Maria Terzi, Matthew Rowe, Maria Angela Ferrario and Jon Whittle
Privacy and user trust in context-aware systems
Saskia Koldijk, Gijs Koot, Mark Neerincx and Wessel Kraaij
Predicting User Locations and Trajectories
Eelco Herder, Patrick Siehndel and Ricardo Kawase
Automatic User Partitioning for Tag Recommendation
Jonathan Gemmell, Bamshad Mobasher and Robin Burke
Evil Twins: Modeling Power Users in Attacks on Recommender Systems
David Wilson and Carlos Seminario
Hybrid Recommendation in Heterogeneous Networks
Robin Burke, Fatemeh Vahedian and Bamshad Mobasher
Toward a Personalized Approach for Combining Document Relevance Estimates
Bilel Moulahi, Lynda Tamine and Sadok Ben Yahia
Time-Sensitive User Profile for Optimizing Search Personalization
Ameni Kacem, Mohand Boughanem and Rim Faiz
Sparrows and Owls: Characterization of Expert Behaviour in StackOverlfow
Jie Yang, Ke Tao, Alessandro Bozzon and Geert-Jan Houben
Using DBpedia as a Knowledge Source for Culture-related User Modelling Questionnaires
Dhavalkumar Thakker, Lydia Lau, Ronald Denaux, Vania Dimitrova, Paul Brna and Christina Steiner
Short presentations:
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science
Ryan S.J.D. Baker, Jaclyn Ocumpaugh, Sujith Gowda, Amy Kamarainen and Shari Metcalf
Towards Identifying Contextual Factors on Parking Lot Decisions
Klaus Goffart, Michael Schermann, Christopher Kohl, Jörg Preissinger and Helmut Krcmar
The Role of Adaptive Elements in Web-Based Surveillance System User Interfaces
Ricardo Lage, Peter Dolog and Martin Leginus
Uncovering Latent Knowledge: A Comparison of Two Algorithms
Danny J. Lynch and Colm P. Howlin
Balancing Adaptivity and Customisation: In Search of Sustainable Personalisation in Cultural Heritage
Elena Not and Daniela Petrelli
Generalizability of Goal Recognition Models in Narrative-Centered Learning Environments
Alok Baikadi, Jonathan Rowe, Bradford Mott and James Lester
IntelWiki: Recommending Resources to Help Users Contribute to Wikipedia
Mohammad Noor Nawaz Chowdhury and Andrea Bunt
iSCUR: Interest and Sentiment-Based Community Detection for User Recommendation on Twitter
Davide Feltoni Gurini, Fabio Gasparetti, Alessandro Micarelli and Giuseppe Sansonetti
The Impact of Reading Difficulty in a Cognitive Tutor for Solving Mathematics Story Problems
Candace Walkington, Virginia Clinton, Steve Ritter, Mitchell Nathan and Steve Fancsali
Who's afraid of job interviews? Definitely a question for User Modelling
Kaska Porayska-Pomsta, Paola Rizzo, Ionut Damian, Tobias Baur, Elisabeth Andre, Nicolas Sabouret Hazael, Jones, Keith Anderson and Evi Chryssafidou
Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models
Yun Huang, Yanbo Xu and Peter Brusilovsky
Utilising Visual Features as Indicators of Players Engagement in Super Mario Bros
Noor Shaker and Mohammad Shaker
Trust-based Decision-Making for Energy-Aware Device Management
Stephan Hammer, Michael Wißner and Elisabeth Andre
Combining Distributional Semantics and Entity Linking for Context-aware Content-based Recommendation
Cataldo Musto, Giovanni Semeraro, Pasquale Lops and Marco De Gemmis
Client-side hybrid rating prediction for recommendation
Andres Moreno, Harold Castro and Michel Riveill
Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users
Ben Steichen, M. Rami Ghorab, Séamus Lawless, Alexander O'Connor and Vincent Wade
When the Question is Part of the Answer: Examining the Impact of Emotion Self-Reports on Student Emotion
Michael Wixon and Ivon Arroyo
Fast incremental matrix factorization for recommendation with positive-only feedback
João Vinagre, Alípio Mário Jorge and João Gama
Utilizing Mind-Maps for Information Retrieval and User Modelling
Joeran Beel, Stefan Langer, Marcel Genzmehr and Bela Gipp
Graph-Based Recommendations: Make the Most Out of Social Data
Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kaafar, David Vallet and Tsvi Kuflik
