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Subject:
From:
Alan Said <[log in to unmask]>
Reply To:
Alan Said <[log in to unmask]>
Date:
Mon, 7 May 2012 20:00:06 +0200
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——————————————————————–
1st Call for Papers – RecSysChallenge 2012
The Recommender Systems Challenge

in conjunction with ACM Recommender Systems 2012

Dublin, Ireland, 13 September 2012

http://www.recsyschallenge.com

——————————————————————–

*** Submission deadline: 8 June 2012 ***

As in other research areas, the availability of data sets in recommender 
systems can be considered as key for research and application purposes.
These data sets serve as benchmarks to develop new algorithms and to 
compare them to other algorithms in given settings.
Furthermore, they can be used for experimenting with new recommendation 
methods, services, as well as added-value services related to 
recommendation (such as supporting visualisation and argumentation).

The Recommender System Challenge, in conjunction with ACM RecSys 2012, 
invites participants to work on two tracks with real-world datasets.

Benchmarking Track: Context-Aware Movie Recommendation (CAMRa’12)
———————————————————-
This track focuses on contextual recommendation of movie-related news 
and uses a data set from moviepilot.com
The aim is to measure classification accuracy metrics when trying to 
find the right users to recommend certain items in order to gain a large 
impact in social networks.
It asks participants to use and evaluate their approaches in an off-line 
manner, but in addition an on-line evaluation will be performed in the 
final stages of the challenge.
The track is following the previous Challenges on Context-Aware Movie 
Recommendation that took place in 2010 and 2011.

URL: http://www.recsyschallenge.com/tracks/camra/

Exploratory Track: Scientific Paper Recommendation (ScienceRec’12)
————————————————-
This track focuses on recommendations to users about scientific papers 
that they might be interested in, using a data set that comes from the 
Mendeley system (www.mendeley.com).
The aim is to share recommendation approaches and discuss issues like 
the types of scientific recommendation services that social research 
platforms like Mendeley could implement or the types of data sets that 
could help advance research around scientific paper recommendation.
It asks participants to use and evaluate their approaches in an off-line 
manner, but is also interested in proposals for relevant services, 
navigational interfaces, visualisations of recommendations etc. Thus it 
welcomes submissions that will combine the data set with the Mendeley 
API (http://dev.mendeley.com).
The track is following the publication of the Mendeley data set 
(http://dev.mendeley.com/datachallenge/) after the 1st DataTEL challenge 
that took place within the 2010 Recommender Systems in Technology 
Enhanced Learning Workshop (RecSysTEL).

URL: http://www.recsyschallenge.com/tracks/sciencerec/

Submission
———-
Two submission types are accepted: full papers of up to 8 pages, and 
short papers up to 4 pages.
Each paper will be directed to the relevant track and will be evaluated 
by at least three reviewers from the track’s Programme Committee.
The papers will be evaluated for their originality, contribution 
significance, soundness, clarity, and overall quality.

Submissions should be sent as a PDF file through the EasyChair online 
submission system at 
https://www.easychair.org/conferences/?conf=recsyschallenge2012
All submissions shall adhere to the standard ACM SIG proceedings format: 
http://www.acm.org/sigs/publications/proceedings-templates.

Papers accepted in previous challenges have been published through the 
ACM Digital Library.

Important dates
—————

Paper submission deadline: 22 June 2012
Author notification: 6 July 2012
Camera ready version due: 20 July 2012
RecSysChallenge 2012: 13 September 2012

RecSysChallenge 2012 Chairs
————————-
Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation
Alan Said, Technische Univeristät Berlin

CAMRa 2012 Chairs
—————–
Domonkos Tikk, Gravity R&D
Jannis Hermanns, moviepilot
Benjamin Kille, TU Berlin

ScienceRec 2012 Chairs
———————
Katrien Verbert, KU Leuven, Belgium
Hendrik Drachsler, Open University of the Netherlands
Kris Jack, Mendeley

More info
———
URL: www.recsyschallenge.com
email: [log in to unmask]
twitter: www.twitter.com/recsychallenge

-- 
--
***************************************
M.Sc.(Eng.) Alan Said
Competence Center Information Retrieval&  Machine Learning
Technische Universität Berlin DAI-Lab TEL 14
Ernst-Reuter-Platz 7
10587 Berlin / Germany
Phone:  0049 - 30 - 314 74072
Fax:    0049 - 30 - 314 74003
E-mail: [log in to unmask]
http://www.dai-lab.de/~alan
***************************************

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