Accepted papers

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