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27th UMAP 2019: Larnaca, Cyprus
- George Angelos Papadopoulos, George Samaras, Stephan Weibelzahl, Dietmar Jannach, Olga C. Santos:
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 9-12, 2019. ACM 2019, ISBN 978-1-4503-6021-0
Keynote & Invited Talks
- George A. Papadopoulos, George Samaras, Stephan Weibelzahl:
Session details: Keynote & Invited Talks. - Marios N. Avraamides:
Modeling Behavior and Designing Evidence-Based Technologies: What We Can Learn for Empirical Data. 1 - Mounia Lalmas:
Engagement, Metrics and Personalisation: the Good, the Bad and the Ugly. 2 - Judith Masthoff:
Towards Utter Well-Being: Personalization for Guardian Angels. 3
ACM UMAP 2019 Main Track
- Dietmar Jannach, Olga C. Santos:
Session details: ACM UMAP 2019 Main Track. - Cataldo Musto
, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews. 4-12 - Thi Ngoc Trang Tran
Towards Social Choice-based Explanations in Group Recommender Systems. 13-21 - Chun-Hua Tsai, Peter Brusilovsky:
Evaluating Visual Explanations for Similarity-Based Recommendations: User Perception and Performance. 22-30 - Vladimir Guchev, Federica Cena, Fabiana Vernero, Cristina Gena:
Visual Annotations for Hybrid Graph-based User Model. 31-35 - Yelena Mejova
Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change Interventions. 36-45 - Helma Torkamaan, Jürgen Ziegler:
Rating-based Preference Elicitation for Recommendation of Stress Intervention. 46-50 - Eva Geurts
WalkWithMe: Personalized Goal Setting and Coaching for Walking in People with Multiple Sclerosis. 51-60 - Andisheh Partovi, Ingrid Zukerman, Kai Zhan, Nora Hamacher, Jakob Hohwy:
Relationship between Device Performance, Trust and User Behaviour in a Care-taking Scenario. 61-69 - Alexander Prange, Daniel Sonntag:
Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test. 70-77 - Bruno Massoni Sguerra, Pierre Jouvelot:
"An Unscented Hound for Working Memory" and the Cognitive Adaptation of User Interfaces. 78-85 - Oludamilare Matthews, Sukru Eraslan, Victoria Yaneva, Alan Davies
Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism. 86-94 - Pinar Barlas
What Makes an Image Tagger Fair? 95-103 - Matthias Wölbitsch, Simon Walk, Michael Goller, Denis Helic
Beggars Can't Be Choosers: Augmenting Sparse Data for Embedding-Based Product Recommendations in Retail Stores. 104-112 - Stav Yanovsky, Nicholas Hoernle, Omer Lev, Kobi Gal
One Size Does Not Fit All: Badge Behavior in Q&A Sites. 113-120 - Muesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran
Socially-Aware Diagnosis for Constraint-Based Recommendation. 121-129 - Daniel Herzog, Wolfgang Wörndl:
A User Study on Groups Interacting with Tourist Trip Recommender Systems in Public Spaces. 130-138 - Dimitris Sacharidis
Diversity and Novelty in Social-Based Collaborative Filtering. 139-143 - Jacek Wasilewski, Neil Hurley:
Bayesian Personalized Ranking for Novelty Enhancement. 144-148 - Cesare Bernardis, Maurizio Ferrari Dacrema
Estimating Confidence of Individual User Predictions in Item-based Recommender Systems. 149-156 - Shir Frumerman, Guy Shani, Bracha Shapira
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. 157-165 - Martin Lopatka, Victor Ng, Ben Paul Miroglio, David Zeber, Alessio Pierluigi Placitelli, Laura Thomson:
Telemetry-Aware Add-on Recommendation for Web Browser Customization. 166-175 - Ramtin Keramati, Emma Brunskill:
Value Driven Representation for Human-in-the-Loop Reinforcement Learning. 176-180 - Noemi Mauro
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests. 181-190 - Daniela Stier, Ellen Sigloch:
Linguistic Design of In-Vehicle Prompts in Adaptive Dialog Systems: An Analysis of Potential Factors Involved in the Perception of Naturalness. 191-195 - Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu:
Modeling Behavior Patterns with an Unfamiliar Voice User Interface. 196-200 - Argyris Constantinides, Marios Belk, Christos Fidas
On the Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical Passwords. 201-205 - Adriano Arra, Alessio Bianchini, Joana Chavez, Pietro Ciravolo, Fatjon Nebiu, Martina Olivelli
Personalized Gait-based Authentication Using UWB Wearable Devices. 206-210 - Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank:
Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. 211-215 - Noemi Mauro
Multi-faceted Trust-based Collaborative Filtering. 216-224 - Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. 225-233 - Laura Burbach, Patrick Halbach, Martina Ziefle, André Calero Valdez
Who Shares Fake News in Online Social Networks? 234-242 - Panagiotis Mavridis, Owen Huang, Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon
Chatterbox: Conversational Interfaces for Microtask Crowdsourcing. 243-251 - Vikas Ashok
Auto-Suggesting Browsing Actions for Personalized Web Screen Reading. 252-260 - Pranut Jain
Adaptive Modelling of Attentiveness to Messaging: A Hybrid Approach. 261-270 - Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin:
Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts. 271-275 - Yu Liang
Personalized Recommendations for Music Genre Exploration. 276-284 - Jaehun Kim, Andrew M. Demetriou
Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference. 285-293 - Yucheng Jin
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation. 294-302 - Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic
Exploring the Power of Visual Features for the Recommendation of Movies. 303-308 - Dereck Toker, Róbert Móro
Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization. 309-317 - Muhammad Adamu Sidi-Ali
Adapting Performance And Emotional Support Feedback To Cultural Differences. 318-326 - Nigel Bosch
Modeling Improvement for Underrepresented Minorities in Online STEM Education. 327-335 - Fidelia A. Orji, Kiemute Oyibo, Rita Orji, Jim E. Greer, Julita Vassileva:
Personalization of Persuasive Technology in Higher Education. 336-340
Doctoral Consortium
- Laurens Rook, Markus Zanker:
Session details: Doctoral Consortium. - Muhammad Adamu Sidi-Ali
Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background. 341-344 - Makuochi Nkwo
Designing Culturally-appropriate Persuasive Technology to Promote Positive Work Attitudes among Workers in Public Workplaces. 345-348 - Alessia Antelmi
Towards an Exhaustive Framework for Online Social Networks User Behaviour Modelling. 349-352 - Noa Tuval:
Exploring the Potential of the Resolving Sets Model for Introducing Serendipity to Recommender Systems. 353-356
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