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24. UMAP 2016: Halifax, NS, Canada
- Julita Vassileva, James Blustein, Lora Aroyo, Sidney K. D'Mello:
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, UMAP 2016, Halifax, NS, Canada, July 13 - 17, 2016. ACM 2016, ISBN 978-1-4503-4368-8
Keynote Address I
- Hossein Derakhshan:
Killing the Hyperlink, Killing the Web: The Shift from Library-Internet to Television-Internet. 1
Keynote Address II
- Lada A. Adamic:
The Life and Times of Information in Networks. 3
Keynote Address III
- Sandra Carberry:
The Past, the Present, and the Future. 5
Best Paper & Best Student Paper Candidates
- David Graus
, Paul N. Bennett, Ryen W. White, Eric Horvitz:
Analyzing and Predicting Task Reminders. 7-15 - Benjamin Gras, Armelle Brun, Anne Boyer:
Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique. 17-26 - Lukas Lerche
On the Value of Reminders within E-Commerce Recommendations. 27-35 - Shitian Shen, Min Chi:
Reinforcement Learning: the Sooner the Better, or the Later the Better? 37-44 - Patrick J. Donnelly, Nathan Blanchard, Borhan Samei, Andrew McGregor Olney, Xiaoyi Sun, Brooke Ward, Sean Kelly, Martin Nystrand, Sidney K. D'Mello:
Automatic Teacher Modeling from Live Classroom Audio. 45-53 - Michael Eagle
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities. 55-63 - Alexandria Katarina Vail
Gender Differences in Facial Expressions of Affect During Learning. 65-73
Social Web & Crowdsourcing
- Kiemute Oyibo, Yusuf Sahabi Ali, Julita Vassileva
Gender Difference in the Credibility Perception of Mobile Websites: A Mixed Method Approach. 75-84 - Kirsten A. Smith, Matt Dennis
Personalizing Reminders to Personality for Melanoma Self-checking. 85-93 - Barry Smyth, Rachael Rafter, Sam Banks:
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay. 95-104 - Guangyuan Piao
Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. 105-109 - Ifeoma Adaji, Julita Vassileva
Modelling User Collaboration in Social Networks Using Edits and Comments. 111-114 - Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli:
Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. 115-119
Adaptive & Personalized Education and Recommender Systems
- Guanliang Chen
On the Impact of Personality in Massive Open Online Learning. 121-130 - Rémy Frenoy, Yann Soullard, Indira Thouvenin, Olivier Gapenne:
Adaptive Training Environment without Prior Knowledge: Modeling Feedback Selection as a Multi-armed Bandit Problem. 131-139 - Yun Huang, Michael Yudelson
A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning. 141-150 - Tural Gurbanov
Modeling and Predicting User Actions in Recommender Systems. 151-155 - Chen Lin, Shitian Shen, Min Chi:
Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling. 157-161 - Li Chen, Feng Wang:
An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems. 163-167 - Tim Donkers, Benedikt Loepp
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control. 169-173
Recommender Systems I
- Kai Zhan, Ingrid Zukerman
Eliciting Users' Attitudes toward Smart Devices. 175-184 - Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski:
Interactive Modeling of Concept Drift and Errors in Relevance Feedback. 185-193 - Raghav Pavan Karumur, Joseph A. Konstan
Relating Newcomer Personality to Survival and Activity in Recommender Systems. 195-205 - Markus Rokicki, Eelco Herder, Tomasz Kusmierczyk, Christoph Trattner
Plate and Prejudice: Gender Differences in Online Cooking. 207-215 - Shaikhah Alotaibi, Julita Vassileva
Effect of Different Implicit Social Networks on Recommending Research Papers. 217-221 - Kun Yu, Shlomo Berkovsky
Trust and Reliance Based on System Accuracy. 223-227
Recommender Systems II
- Cataldo Musto
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. 229-237 - Mustafa Radha, Martijn C. Willemsen
Lifestyle Recommendations for Hypertension through Rasch-based Feasibility Modeling. 239-247 - Yong Zheng
User-Oriented Context Suggestion. 249-258 - Masahiro Sato, Hidetaka Izumo, Takashi Sonoda:
Modeling Individual Users' Responsiveness to Maximize Recommendation Impact. 259-267 - Mona Nasery
Recommendations with Optimal Combination of Feature-Based and Item-Based Preferences. 269-273 - Ivana Andjelkovic, Denis Parra
Moodplay: Interactive Mood-based Music Discovery and Recommendation. 275-279 - Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin
Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques. 281-285
Extended Abstracts
- Bruce Ferwerda
Exploring Music Diversity Needs Across Countries. 287-288 - Federica Cena
An Experimental Study in Cross-Representation Mediation of User Models. 289-290 - Guangyuan Piao
Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations. 291-292 - Florian Marchal, Sylvain Castagnos, Anne Boyer:
Tell Me What You See, I Will Tell You What You Remember. 293-294 - Angela Stewart, Nigel Bosch
Where's Your Mind At?: Video-Based Mind Wandering Detection During Film Viewing. 295-296 - Shuhei Yamamoto, Noriko Kando
User-User Relationship Migration Observed in Communication Activity. 297-298 - Zhu Sun
Effective Recommendation with Category Hierarchy. 299-300 - V. Elizabeth Owen, Gabriella Anton, Ryan S. Baker:
Modeling User Exploration and Boundary Testing in Digital Learning Games. 301-302 - Marieke M. M. Peeters, Karel van den Bosch, John-Jules Ch. Meyer, Mark A. Neerincx:
Agent-Based Personalisation and User Modeling for Personalised Educational Games. 303-304 - Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. 305-306 - Cataldo Musto
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience. 307-308 - Ruihai Dong, Barry Smyth:
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. 309-310 - Naomi Wixon, Sarah E. Schultz, Kasia Muldner, Danielle Allessio, Winslow Burleson, Beverly P. Woolf, Ivon Arroyo:
Internal & External Attributions for Emotions Within an ITS. 311-312
Doctoral Consortium I
- Juliet Okpo:
Adaptive Exercise Selection for an Intelligent Tutoring System. 313-316 - Nigel Bosch
Detecting Student Engagement: Human Versus Machine. 317-320 - Kiemute Oyibo:
Designing Culture-based Persuasive Technology to Promote Physical Activity among University Students. 321-324 - Yun Huang:
Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized Learning. 325-328 - Julio Guerra
Open Social Learner Models for Self-Regulated Learning and Learning Motivation. 329-332
Doctoral Consortium II
- Guangyuan Piao
Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations. 333-336 - Amra Delic
Picture-based Approach to Group Recommender Systems in the E-Tourism Domain. 337-340 - Amaury L'Huillier, Sylvain Castagnos
The New Challenges when Modeling Context through Diversity over Time in Recommender Systems. 341-344 - Nawal Ould Amer:
Enhancing Personalized Document Ranking using Social Information. 345-348
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