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The Recommender System Challenge of ACM RecSys 2012 (RecSysChallenge 2012) focuses on usage, exploration and benchmarking of recommender systems-related data sets. In this direction, it invites participants to work with real-world datasets and submit their proposed recommendation approaches. Submissions due 8 June 2012.
The challenge features 2 tracks: the Benchmarking Track on Context-Aware Movie Recommendation (CAMRa), and the Exploratory Track on Scientific Paper Recommendation (ScienceRec).
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.
To participate, and learn more visit
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 (dev.mendeley.com).
The track is following the publication of the Mendeley data set (dev.mendeley.com/datachallenge/) after the 1st DataTEL challenge that took place within the 2010 Recommender Systems in Technology Enhanced Learning Workshop (RecSysTEL).
To participate, and learn more visit
www.recsyschallenge.com/tracks/sciencerec/