Accepted Papers

Research And Industry Papers

  • A Framework for Privacy-Aware User Data Trading. Johnson Iyilade and Julita Vassileva.
  • A Framework for Trust-based Multidisciplinary Team Recommendation. Lorenzo Bossi, Stefano Braghin, Anwitaman Datta and Alberto Trombetta.
  • Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour. Nava Tintarev, Matt Dennis and Judith Masthoff.
  • Building Rich User Search Queries Profiles. Elif Aktolga, Alpa Jain and Emre Velipasaoglu.
  • Combining Collaborative Filtering and Semantic Similarity for Expertise Recommendations in Social Websites. Alexandre Spaeth and Michel C. Desmarais.
  • Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation. Samad Kardan and Cristina Conati.
  • Cross-Domain Recommendation in a Cold-Start Context: The impact of User Profile Size on the Quality of Recommendation. Shaghayegh Sahebi and Peter Brusilovsky.
  • Days of Our Lives: Assessing Day Similarity from Location Traces. James Biagioni and John Krumm.
  • Evaluation of Attention Levels in a Tetris Game Using a Brain Computer Interface. Georgios Patsis, Hichem Sahli, Werner Verhelst and Olga De Troyer.
  • Exploiting the Semantic Similarity of Contextual Situations for Pre-Filtering Recommendations. Victor Codina, Francesco Ricci and Luigi Ceccaroni.
  • Inform or Flood: Estimating When Retweets Duplicate. Amit Tiroshi, Tsvi Kuflik and Shlomo Berkovsky.
  • Interaction Based Content Recommendation in Online Communities. Surya Nepal, Cecile Paris, Payam Aghaei Pour, Jill Freyne and Sanat Kumar Bista.
  • Learning Likely Locations. John Krumm, Rich Caruana and Scott Counts.
  • Modeling a Graph Viewer’s Effort in Recognizing Messages Conveyed by Grouped Bar Charts. Richard Burns, Sandra Carberry and Stephanie Elzer Schwartz.
  • Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity. Masud Moshtaghi, Ingrid Zukerman, David Albrecht and Andrew  Russell.
  • Opinion-Driven Matrix Factorization for Rating Prediction. Stefan Pero and Tomas Horvath.
  • Personalized Access to Scientific Publications: From Recommendation to Explanation. Dario De Nart, Felice Ferrara and Carlo Tasso.
  • PoliSpell: An Adaptive Spellchecker and Predictor for People with Dyslexia. Alberto Quattrini Li, Licia Sbattella and Roberto Tedesco.
  • Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science. Ryan S.J.D. Baker and Jody Clarke-Midura.
  • Predicting Users’ Preference from Tag Relevance. Tien Nguyen and John Riedl.
  • Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static SpecificationsFeng Wang, Weike Pan and Li Chen.
  • Recommendation with Differential Context Weighting. Yong Zheng, Robin Burke and Bamshad Mobasher.
  • Recommending Topics for Web Curation. Zurina Saaya, Markus Schaal, Rachael Rafter and Barry Smyth.
  • Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications. Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer and Antonio Krüger.
  • Semantic Aggregation and Zooming of User Viewpoints in Social Media Content. Dimoklis Despotakis, Vania Dimitrova, Lydia Lau and Dhavalkumar Thakker.
  • Studying the Effect of Human Cognition on User Authentication Tasks. Marios Belk, Panagiotis Germanakos, Christos Fidas and George Samaras.
  • Understanding Email Writers: Personality Prediction from Email Messages. Jianqiang Shen, Oliver Brdiczka and Juan Liu.
  • Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-Regulated Learning. Jennifer Sabourin, Bradford Mott and James Lester.
  • What Recommenders Recommend — An Analysis of Accuracy, Popularity, and Sales Diversity Effects. Dietmar Jannach, Lukas Lerche, Fatih Gedikli and Geoffray Bonnin.


  • Eliciting affective recommendations to support distance learning students. Angeles Manjarrés, Olga C. Santos and Jesús González Boticario
  • Generating a Personalized UI for the Car: A User-adaptive Rendering Architecture. Michael Feld, Gerrit Meixner, Angela Mahr, Marc Seissler and Balaji Kalyanasundaram
  • Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles. Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops and Marco De Gemmis
  • Modeling Emotions with Social Tags. Ignacio Fernandez-Tobias, Laura Plaza and Iván Cantador
  • Modelling Users’ Affect in Job Interviews: Technological Demo. Kaska Porayska-Pomsta, Keith Anderson, Ionut Damian and Paola Rizzo
  • Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval. M.Rami Ghorab, Séamus Lawless, Alexander O’Connor, Dong Zhou and Vincent Wade
  • A Prismatic Cognitive Layout For Adapting Ontologies. Francesco Osborne and Alice Ruggeri
  • RES: a Personalized Filtering Tool for CiteSeerX Queries based on Keyphrase Extraction. Dario De Nart, Felice Ferrara and Carlo Tasso
  • Topolor: A Social Personalized Adaptive E-Learning System. Lei Shi, Dana Al Quadh and Alexandra Cristea
  • Unobtrusive monitoring of knowledge workers for stress self-regulation. Saskia Koldijk, Maya Sappelli, Mark Neerincx and Wessel Kraaij

late-breaking results

  • Encountering the Unexpected: Influencing User Experience through Surprise. Alice Gross and Manfred Thüring
  • Board recommendation in Pinterest. Krishna Kamath, Ana-Maria Popescu and James Caverlee
  • Crowdsourced Evaluation of Semantic Patterns for Recommendations. Valentina Maccatrozzo, Lora Aroyo and Willem Robert Van Hage
  • Utilizing Social Networks for User Model Priming: User Attitudes. Adam Moore, Gudrun Wesiak, Christina M. Steiner, Claudia Hauff, Declan Dagger, Gary Donohoe and Owen Conlan
  • Mining Top Users in Pinterest Categories. Ana-Maria Popescu, Krishna Kamath and James Caverlee
  • A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games. Noor Shaker, Mohammad Shaker, Ismaeel Abu-Abdallah, Mehdi Al-Zengi and Mhd Hasan Sarhan
  • Understanding the Temporal Dynamics of Recommendations across different Rating Scales. Paula Cristina Vaz, Ricardo Ribeiro and David Martins de Matos
  • Term extraction for user profiling: evaluation by the user. Suzan Verberne, Maya Sappelli and Wessel Kraaij
  • Semantic Technologies as Enabler for Distributed Adaptive Hyperlink Generation. Ruben Verborgh, Mathias Verhoeven, Erik Mannens and Rik Van de Walle


  • Unfolding cultural, educational and scientific long-tail content in the Web. Michael Granitzer, Christin Seifert, Silvia Russegger and Klaus Tochtermann
  • LinkedUp – Linking Web Data for Adaptive Education. Eelco Herder, Stefan Dietze and Mathieu D’Aquin
  • Researching Novel Methods for Recommender System Evaluation. Alan Said
  • A Technological Framework for Developing Affective Inclusive Personalized Mobile Serious Games to Enrich Learning Competences. Olga C. Santos, Mar Saneiro, Emmanuelle Gutiérrez y Restrepo, Jesus G. Boticario, Elena Del Campo, Raul Cabestrero, Pilar Quiros, Sergio Salmeron-Majadas and Emmanuelle Raffenne

doctoral consortium

  • An adaptive spellchecker and predictor. Alberto Quattrini Li
  • Tabbed Browsing Behavior as a Source for User Modeling. Martin Labaj and Maria Bielikova
  • Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators. Chris Dijkshoorn
  • Enforcing Privacy in Secondary User Information Sharing and Usage. Johnson Iyilade
  • Evaluation of Cross-Domain News Article Recommendations. Benjamin Kille
  • Suggesting Query Revisions in Conversational Recommender Systems. Henry Blanco Lores
  • Design and Evaluation of an Affective BCI-Based Adaptive User Application: a Preliminary Case Study. Giuseppe Rizzo
  • Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-domain Recommendation. Ignacio Fernandez-Tobias
  • Modeling Programming Skills of Students in an Educational Recommender System. Stefan Pero  
  • Socially Adaptive Electronic Partners for Socio-geographical Support. Abdullah Kayal
  • A POV-Based User Model: From Learning Preferences To Learning Personal Ontologies. Francesco Osborne
  • Inclusive personalized e-learning based in affective adaptive support. Sergio Salmeron-Majadas


The detailed schedule of talks with abstracts is here.

Main conference proceedings on Springer website; Late-Breaking Results, Project Papers and Workshop Proceedings are on CEUR website