++apologies for cross-posting++
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Final 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
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*** Submission deadline: 22 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)
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The track addresses context-aware recommendation and context-aware
evaluation and live evaluation of recommendations. For this, a dataset
from moviepilot is made available, this dataset contains information
related to concepts from the world of cinema, e.g. single movies, movie
universes (such as the world of Harry Potter movies), upcoming details
(trailers, teasers, news, etc). At the end of the challenge, a live
evaluation session will take place where algorithms trained on offline
data will be evaluated online, on real users. The aim is to find the
right audience for a given movie. This movie does not necessarily exist
already (as it might be in production), the goal is to generate a large
impact on the recommended item in terms of interaction in the social
networks of those users to whom the movies are recommended.
To access the data, send an email with your name and affiliation to
[log in to unmask]
The track is following the previous Challenges on Context-Aware Movie
Recommendation that took place in 2010 and 2011.
Chairs:
- Domonkos Tikk, Gravity R&D (Hungary)
- Jannis Hermanns, moviepilot (Germany)
- Benjamin Kille, Technische Univeristat Berlin (Germany)
Program Committee:
- Hideki Asoh, AIST (Japan)
- Robin Burke, DePaul University (USA)
- Li Chen, Hong Kong Baptist University (Hong Kong)
- Ernesto W. De Luca, University of Applied Sciences Potsdam (Germany)
- Zeno Gantner, Nokia (Germany)
- Tim Hussein, University of Duisburg-Essen (Germany)
- Brijnesh J. Jain, TU Berlin (Germany)
- Anthony Jameson, DFKI (Germany)
- Dietmar Jannach, TU Dortmund (Germany)
- Alexandros Karatzoglou, Telefonica Research (Spain)
- Neal Lathia, University of Cambridge (UK)
- Bamshad Mobasher, DePaul University (USA)
- Till Plumbaum, TU Berlin (Germany)
- Rachael Rafter, Trinity College Dublin (Ireland)
- Qiang Yang, Hong Kong University of Science and Technology (Hong Kong)
URL: http://www.recsyschallenge.com/tracks/camra/
Exploratory Track: Scientific Paper Recommendation (ScienceRec'12)
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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.
Submissions are expected to use the already published Mendeley dataset
which came out after the 1st DataTEL Challenge of RecSysTEL 2010:
http://dev.mendeley.com/datachallenge/
The ScienceRec Track 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/
It has to be noted that in the Mendeley dataset, the document IDs do not
match up to the document IDs in the API. For privacy reasons, Mendeley
cannot currently reveal the document IDs in the dataset, as this will
make quite obvious who's libraries it is making public (creating privacy
and data protection issues). Submissions will need to take into
consideration this limitation, exploring (and showcasing) possible
combinations of the data sources, demonstrating them using example,
sample or simulated data, as well as outlining such kind of limitations
and possible solutions such as dataset licensing from the users themselves.
Chairs:
- Katrien Verbert, KU Leuven (Belgium)
- Hendrik Drachsler, Open University of the Netherlands (The Netherlands)
- Kris Jack, Mendeley (UK)
Program Committee:
- Joeran Beel, Docear.org (Germany/USA)
- Toine Bogers, Royal School of Library and Information Science (Denmark)
- Antonina Dattolo, University of Udine (Italy)
- Erik Duval, KU Leuven (Belgium)
- Mark Hahnel, Figshare.com (UK)
- Enrique Herrera Viedma, DECSAI University of Granada (Spain)
- Wataru Iwasaki, University of Tokyo (Japan)
- Daniel Lemire, Universite du Quebec a Montreal (Canada)
- Sean M. McNee, FTI Consulting (USA)
- Steve Pettifer, University of Manchester (UK)
- Tiffany Y. Tang, Konkuk University (South Korea)
- Andre Vellino, University of Ottawa (Canada)
- Yasunori Yamamoto, Research Organization of Information and Systems
(Japan)
URL: http://www.recsyschallenge.com/tracks/sciencerec/
Submission
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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
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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
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Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation (Greece)
Alan Said, Technische Univeristat Berlin (Germany)
More info
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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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