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Alan Said <[log in to unmask]>
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Alan Said <[log in to unmask]>
Tue, 19 Jun 2012 18:57:15 +0200
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++apologies for cross-posting++

Final Call for Papers - RecSysChallenge 2012
The Recommender Systems Challenge

in conjunction with ACM Recommender Systems 2012

Dublin, Ireland, 13 September 2012

*** 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)
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.

- 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)


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 (  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:
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:
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.

- Katrien Verbert, KU Leuven (Belgium)
- Hendrik Drachsler, Open University of the Netherlands (The Netherlands)
- Kris Jack, Mendeley (UK)

Program Committee:
- Joeran Beel, (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, (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 


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
All submissions shall adhere to the standard ACM SIG proceedings format:

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 (Greece)
Alan Said, Technische Univeristat Berlin (Germany)

More info
email: [log in to unmask]

M.Sc.(Eng.) Alan Said
Competence Center Information Retrieval&  Machine Learning
Technische Universitšt 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]


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