Abstract is missing.
- Session details: Doctoral ConsortiumLaurens Rook, Markus Zanker. [doi]
- Session details: ACM UMAP 2019 Main TrackDietmar Jannach, Olga C. Santos. [doi]
- Session details: Keynote & Invited TalksGeorge A. Papadopoulos, George Samaras, Stephan Weibelzahl. [doi]
- Modeling Behavior and Designing Evidence-Based Technologies: What We Can Learn for Empirical DataMarios N. Avraamides. 1 [doi]
- Engagement, Metrics and Personalisation: the Good, the Bad and the UglyMounia Lalmas. 2 [doi]
- Towards Utter Well-Being: Personalization for Guardian AngelsJudith Masthoff. 3 [doi]
- Justifying Recommendations through Aspect-based Sentiment Analysis of Users ReviewsCataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro. 4-12 [doi]
- Towards Social Choice-based Explanations in Group Recommender SystemsThi Ngoc Trang Tran, Müslüm Atas, Alexander Felfernig, Viet Man Le, Ralph Samer, Martin Stettinger. 13-21 [doi]
- Evaluating Visual Explanations for Similarity-Based Recommendations: User Perception and PerformanceChun-Hua Tsai, Peter Brusilovsky. 22-30 [doi]
- Visual Annotations for Hybrid Graph-based User ModelVladimir Guchev, Federica Cena, Fabiana Vernero, Cristina Gena. 31-35 [doi]
- Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change InterventionsYelena Mejova, Kyriaki Kalimeri. 36-45 [doi]
- Rating-based Preference Elicitation for Recommendation of Stress InterventionHelma Torkamaan, Jürgen Ziegler 0001. 46-50 [doi]
- WalkWithMe: Personalized Goal Setting and Coaching for Walking in People with Multiple SclerosisEva Geurts, Fanny Van Geel, Peter Feys, Karin Coninx. 51-60 [doi]
- Relationship between Device Performance, Trust and User Behaviour in a Care-taking ScenarioAndisheh Partovi, Ingrid Zukerman, Kai Zhan, Nora Hamacher, Jakob Hohwy. 61-69 [doi]
- Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing TestAlexander Prange, Daniel Sonntag. 70-77 [doi]
- "An Unscented Hound for Working Memory" and the Cognitive Adaptation of User InterfacesBruno Massoni Sguerra, Pierre Jouvelot. 78-85 [doi]
- Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with AutismOludamilare Matthews, Sukru Eraslan, Victoria Yaneva, Alan Davies, Yeliz Yesilada, Markel Vigo, Simon Harper. 86-94 [doi]
- What Makes an Image Tagger Fair?Pinar Barlas, Styliani Kleanthous, Kyriakos Kyriakou, Jahna Otterbacher. 95-103 [doi]
- Beggars Can't Be Choosers: Augmenting Sparse Data for Embedding-Based Product Recommendations in Retail StoresMatthias Wölbitsch, Simon Walk, Michael Goller, Denis Helic. 104-112 [doi]
- One Size Does Not Fit All: Badge Behavior in Q&A SitesStav Yanovsky, Nicholas Hoernle, Omer Lev, Kobi Gal. 113-120 [doi]
- Socially-Aware Diagnosis for Constraint-Based RecommendationMuesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Martin Stettinger. 121-129 [doi]
- A User Study on Groups Interacting with Tourist Trip Recommender Systems in Public SpacesDaniel Herzog, Wolfgang Wörndl. 130-138 [doi]
- Diversity and Novelty in Social-Based Collaborative FilteringDimitris Sacharidis. 139-143 [doi]
- Bayesian Personalized Ranking for Novelty EnhancementJacek Wasilewski, Neil Hurley. 144-148 [doi]
- Estimating Confidence of Individual User Predictions in Item-based Recommender SystemsCesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi. 149-156 [doi]
- Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected RecommendationsShir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom. 157-165 [doi]
- Telemetry-Aware Add-on Recommendation for Web Browser CustomizationMartin Lopatka, Victor Ng, Ben Paul Miroglio, David Zeber, Alessio Pierluigi Placitelli, Laura Thomson. 166-175 [doi]
- Value Driven Representation for Human-in-the-Loop Reinforcement LearningRamtin Keramati, Emma Brunskill. 176-180 [doi]
- Extending a Tag-based Collaborative Recommender with Co-occurring Information InterestsNoemi Mauro, Liliana Ardissono. 181-190 [doi]
- Linguistic Design of In-Vehicle Prompts in Adaptive Dialog Systems: An Analysis of Potential Factors Involved in the Perception of NaturalnessDaniela Stier, Ellen Sigloch. 191-195 [doi]
- Modeling Behavior Patterns with an Unfamiliar Voice User InterfaceChelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu. 196-200 [doi]
- On the Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical PasswordsArgyris Constantinides, Marios Belk, Christos Fidas, Andreas Pitsillides. 201-205 [doi]
- Personalized Gait-based Authentication Using UWB Wearable DevicesAdriano Arra, Alessio Bianchini, Joana Chavez, Pietro Ciravolo, Fatjon Nebiu, Martina Olivelli, Gabriele Scoma, Simone Tavoletta, Matteo Zagaglia, Alessio Vecchio. 206-210 [doi]
- Detecting Persuasive Arguments based on Author-Reader Personality Traits and their InteractionMichal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank. 211-215 [doi]
- Multi-faceted Trust-based Collaborative FilteringNoemi Mauro, Liliana Ardissono, Zhongli Filippo Hu. 216-224 [doi]
- Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender SystemsFarzad Eskandanian, Nasim Sonboli, Bamshad Mobasher. 225-233 [doi]
- Who Shares Fake News in Online Social Networks?Laura Burbach, Patrick Halbach, Martina Ziefle, André Calero Valdez. 234-242 [doi]
- Chatterbox: Conversational Interfaces for Microtask CrowdsourcingPanagiotis Mavridis, Owen Huang, Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon. 243-251 [doi]
- Auto-Suggesting Browsing Actions for Personalized Web Screen ReadingVikas Ashok, Syed Masum Billah, Yevgen Borodin, I. V. Ramakrishnan. 252-260 [doi]
- Adaptive Modelling of Attentiveness to Messaging: A Hybrid ApproachPranut Jain, Rosta Farzan, Adam J. Lee. 261-270 [doi]
- Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for AnalystsAadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin. 271-275 [doi]
- Personalized Recommendations for Music Genre ExplorationYu Liang, Martijn C. Willemsen. 276-284 [doi]
- Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music PreferenceJaehun Kim, Andrew M. Demetriou, Sandy Manolios, Cynthia C. S. Liem. 285-293 [doi]
- ContextPlay: Evaluating User Control for Context-Aware Music RecommendationYucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert. 294-302 [doi]
- Exploring the Power of Visual Features for the Recommendation of MoviesMohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghadam, Christoph Trattner, Reza Hosseini, Marko Tkalcic. 303-308 [doi]
- Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for PersonalizationDereck Toker, Róbert Móro, Jakub Simko, Mária Bielikova, Cristina Conati. 309-317 [doi]
- Adapting Performance And Emotional Support Feedback To Cultural DifferencesMuhammad Adamu Sidi-Ali, Judith Masthoff, Matt Dennis, Jacek Kopecký, Nigel A. Beacham. 318-326 [doi]
- Modeling Improvement for Underrepresented Minorities in Online STEM EducationNigel Bosch, Eddie Huang, Lawrence Angrave, Michelle Perry. 327-335 [doi]
- Personalization of Persuasive Technology in Higher EducationFidelia A. Orji, Kiemute Oyibo, Rita Orji, Jim E. Greer, Julita Vassileva. 336-340 [doi]
- Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural BackgroundMuhammad Adamu Sidi-Ali. 341-344 [doi]
- Designing Culturally-appropriate Persuasive Technology to Promote Positive Work Attitudes among Workers in Public WorkplacesMakuochi Nkwo. 345-348 [doi]
- Towards an Exhaustive Framework for Online Social Networks User Behaviour ModellingAlessia Antelmi. 349-352 [doi]
- Exploring the Potential of the Resolving Sets Model for Introducing Serendipity to Recommender SystemsNoa Tuval. 353-356 [doi]