UMAP '16- Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

Full Citation in the ACM Digital Library

SESSION: Keynote Address I

Killing the Hyperlink, Killing the Web: The Shift from Library-Internet to Television-Internet

SESSION: Keynote Address II

The Life and Times of Information in Networks

SESSION: Keynote Address III

The Past, the Present, and the Future

SESSION: Best Paper & Best Student Paper Candidates

Analyzing and Predicting Task Reminders

Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique

On the Value of Reminders within E-Commerce Recommendations

Reinforcement Learning: the Sooner the Better, or the Later the Better?

Automatic Teacher Modeling from Live Classroom Audio

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities

Gender Differences in Facial Expressions of Affect During Learning

SESSION: Social Web & Crowdsourcing

Gender Difference in the Credibility Perception of Mobile Websites: A Mixed Method Approach

Personalizing Reminders to Personality for Melanoma Self-checking

Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay

Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations

Modelling User Collaboration in Social Networks Using Edits and Comments

Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features

SESSION: Adaptive & Personalized Education and Recommender Systems

On the Impact of Personality in Massive Open Online Learning

Adaptive Training Environment without Prior Knowledge: Modeling Feedback Selection as a Multi-armed Bandit Problem

A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning

Modeling and Predicting User Actions in Recommender Systems

Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling

An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

SESSION: Recommender Systems I

Eliciting Users' Attitudes toward Smart Devices

Interactive Modeling of Concept Drift and Errors in Relevance Feedback

Relating Newcomer Personality to Survival and Activity in Recommender Systems

Plate and Prejudice: Gender Differences in Online Cooking

Effect of Different Implicit Social Networks on Recommending Research Papers

Trust and Reliance Based on System Accuracy

SESSION: Recommender Systems II

Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data

Lifestyle Recommendations for Hypertension through Rasch-based Feasibility Modeling

User-Oriented Context Suggestion

Modeling Individual Users' Responsiveness to Maximize Recommendation Impact

Recommendations with Optimal Combination of Feature-Based and Item-Based Preferences

Moodplay: Interactive Mood-based Music Discovery and Recommendation

Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques

SESSION: Extended Abstracts

Exploring Music Diversity Needs Across Countries

An Experimental Study in Cross-Representation Mediation of User Models

Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations

Tell Me What You See, I Will Tell You What You Remember

Where's Your Mind At?: Video-Based Mind Wandering Detection During Film Viewing

User-User Relationship Migration Observed in Communication Activity

Effective Recommendation with Category Hierarchy

Modeling User Exploration and Boundary Testing in Digital Learning Games

Agent-Based Personalisation and User Modeling for Personalised Educational Games

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback

Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience

From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews

Internal & External Attributions for Emotions Within an ITS

SESSION: Doctoral Consortium I

Adaptive Exercise Selection for an Intelligent Tutoring System

Detecting Student Engagement: Human Versus Machine

Designing Culture-based Persuasive Technology to Promote Physical Activity among University Students

Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized Learning

Open Social Learner Models for Self-Regulated Learning and Learning Motivation

SESSION: Doctoral Consortium II

Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations

Picture-based Approach to Group Recommender Systems in the E-Tourism Domain

The New Challenges when Modeling Context through Diversity over Time in Recommender Systems

Enhancing Personalized Document Ranking using Social Information