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Subject:
From:
Neal Lathia <[log in to unmask]>
Reply To:
Neal Lathia <[log in to unmask]>
Date:
Thu, 14 Jul 2011 16:58:00 +0100
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* Submission deadline: 25 July 2011 *
Call for Papers: ACM RecSys 2011 Workshop on Personalization in Mobile
Applications

http://pema2011.cs.ucl.ac.uk/
http://recsys.acm.org

--- Workshop Description ---
The rise of location-enabled mobile phones and location based services
offers a great opportunity to apply personalizat-
ion 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.

-- Invited Speakers --
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).

--- Workshop Topics ---

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.

--- Important Dates ---

   . 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).

--- Program Committee ---
	. Xavier Amatriain, Telefonica I+D, Spain
	. Giusy Di Lorenzo, IBM Research, Ireland
	. Marcus Foth, Queensland University of Technology, Australia
	. Fosca Giannotti, ISTI-CNR, University of Pisa, Italy
	. Andy Hudson-Smith, 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, University College Dublin
	. Yu Zheng, Microsoft Research Asia

--- Organizers ---
	. Neal Lathia, Dept. of Computer Science, University College London
	. Daniele Quercia, Computer Lab, University of Cambridge
	. Licia Capra, Dept. of Computer Science, University College London
	. Jon Crowcroft, Computer Lab, University of Cambridge

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