The rise of location-enabled mobile phones and location based services offers a great opportunity to apply personalization and recommender system technology to people’s everyday lives. A variety of digital traces can now be used to infer how people move about their city and extract their context and habits. Personalization and recommender systems, potentially merged with the data that people store online (e.g., social networks, web ratings), can then not only be used to recommend new places and events that they may find interesting to attend, but, more broadly, personalize and enhance any service that people find themselves using.
The workshop will host three invited speakers:
. Anthony Tomasic, CMU, “Tiramisu: Transit Service Design and Implementation via Crowdsourcing” http://www.cs.cmu.edu/~tomasic/
. Christine Outram, MIT, “The Copenhagen Wheel” http://christineoutram.weebly.com/
. Janne Lindqvist, CMU, “Understanding mobile social networks: Why people do (not) check-in”http://www.cs.cmu.edu/~jklindqv/
Call for Papers
The workshop solicits research papers (8 pages), short position papers (proposing new directions of research, advocating non-traditional approaches to old (or new) ideas, or generating controversy and discussion, max 4 pages in the ACM Proceedings format), and demos (max 2 pages in the ACM Proceedings format). Papers will be reviewed by at least 3 members of the workshop program committee, and will be evaluated according to their significance, originality, novelty, style, clarity, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop.
Journal of Pervasive and Mobile Computing
Extended versions of the best papers from the workshop will be put forward for fast track publication in the Pervasive and Mobile Computing (PMC) journal (subject to the number and quality of received submissions).
Include, but are not limited to:
. Innovative applications of recommender systems in mobile settings
. Location and/or context-based recommender systems
. Recommending locations, venues, and social events
. Mobility modelling and behaviour prediction
. Incentives and persuasion in mobile settings
. Geo-caching and processing location data
. User-centric evaluation of personalised mobile services
. Recommender systems for smart cities/urban environments
. Intelligent transport systems
. Real-time and/or multi-source information processing for personalisation
. Personalized and adaptive mobile interfaces
. Security, privacy, reputation and trust issues in mobile recommenders
. Geographic/location-based social networks and social filtering
. Case studies of recommender systems in mobile environments.
. Submit by: July 25, 2011
. Notifications by: August 19, 2011
. Camera-ready by: September 12, 2011
. The workshop will be on Thursday October 27 (post-conference).
. Xavier Amatriain (@xamat), Telefonica I+D, Spain . Giusy Di Lorenzo, IBM Research, Ireland . Marcus Foth (@sunday9pm), Queensland University of Technology, Australia . Fosca Giannotti, ISTI-CNR, University of Pisa, Italy . Andy Hudson-Smith (@digitalurban), UCL Centre for Advanced Spatial Analysis, UK . Nic Lane, Microsoft Research Asia . Dimitrios Lymberopoulous, Microsoft Research Redmond . Carlo Ratti, Senseable City Lab, MIT, USA . Barry Smyth (@barrysmyth), University College Dublin . Yu Zheng, Microsoft Research Asia
. Neal Lathia (@neal_lathia), Dept. of Computer Science, University College London . Daniele Quercia (@danielequercia), Computer Lab, University of Cambridge . Licia Capra, Dept. of Computer Science, University College London . Jon Crowcroft, Computer Lab, University of Cambridge