2016用户建模，适应性和个性化会议 User Modeling, Adaptation and Personalization Conference

征稿已开启

已截稿

注册已开启

已截止

活动简介

UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized under the auspices of User Modeling Inc. The poroceedings are published by ACM and will be part of the ACM Digital Library. UMAP 2016 covers a wide variety of research areas where adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation: recommender systems; adaptive educational systems; intelligent user interfaces; eCommerce; advertising; digital humanities; social networks; personalized health; entertainment, and many more. UMAP 2016 will take place at the campus of Dalhousie University in Halifax, the capital of Nova Scotia and the major cultural centre of Canada’s Atlantic provinces.

征稿信息

征稿范围

UMAP 2016 will explore, study and shape a broad range of dimensions faced by modern user adaptive systems, covering the following Key Areas chaired by leading researchers.
User Modelling for Recommender Systems
Area Chairs: Alexander Felfernig & Pasquale Lops
Semantic recommenders
Social recommenders
User Experience, Explanations, Trust, Control
Context-aware recommender systems
Conversational recommender systems
Implicit and explicit user feedback
Preference elicitation
Machine learning for recommender systems
Case studies of real-world implementations
Adaptive & Personalized Educational Systems
Area Chairs: Antonija Mitrovic & Kalina Yacef
Learner modeling
Intelligent tutoring systems
Adaptive and personalized learning support
Collaborative and group learning
Emerging environments such as MOOCs and educational games
Educational data mining and learning analytic modeling techniques
Learning at scale
Modeling affective, motivational, and metacognitive aspects of learning
Case studies of real-world implementations
Personalization in the Social Web & Crowdsourcing Era
Area Chairs: Alessandro Bozzon & Harith Alani
Data-driven approaches and big data techniques
Deep learning for personalization with social and crowd-generated data
Social network analysis
Modeling individuals, groups, and communities
Engagement & sustainability for personalization
User awareness and control
Privacy, perceived security, and trust
Adaptations based on personality, society, and culture
Mining of social media and crowd-generated data
Human computation and machine intelligence for personalization
Harnessing wisdom of the crowd for personalization
Case studies of real-world implementations
Adaptive, Intelligent, & Multimodal User Interfaces
Area Chairs: Julien Epps & Hatice Gunes
Multimodal user models
Natural interaction (speech, language, gestures)
Brain-computer interfaces
Adaptive information visualization
Adaptive hypermedia systems
Adaptive collaboration support
User modeling for special needs
Case studies of real-world implementations
Architectures, techniques & methodologies for UMAP
Area Chairs: Stephan Weibelzahl & Mihaela Cocea
Models of perception, action, cognition, and affect
Neurobiological and physiological models
User experience
Ongoing continuous modeling
Life wide modeling
Data-driven approaches
Non-standard database representations (networks, graphs)
Sensor networks
Handheld and mobile devices
Standards and specifications
Interoperability, semantics
Evaluation methodologies and metrics
Case studies of real-world implementations