2012.recsyschallenge.com
Organization « RecSys Challenge
http://2012.recsyschallenge.com/organization
8211; Agro-Know Technologies @agroknow. 8211; Technische Universität Berlin @alansaid. 8211; Gravity R&D @domonkostikk. 8211; Moviepilot @jannis. 8211; Technische Universität Berlin @bennykille. 8211; Open University of the Netherlands @HDrachsler. 8211; Katholieke Universiteit Leuven @katrien v. 8211; Mendeley @ krisjack. Hideki Asoh, AIST, Japan. Robin Burke, DePaul University, USA. Li Chen, Hong Kong Baptist Universisty, Hong Kong. Ernesto W. De Luca, University of Applied Sciences Potsdam, Germany.
2012.recsyschallenge.com
Tracks « RecSys Challenge
http://2012.recsyschallenge.com/tracks
The Recommender Systems Challenge consists of the two tracks:. The Context-Aware Movie Recommendation Track Focuses on context-aware recommendations in the movie domain. The challenge focuses on finding the correct users to recommend specific items for in order to gain a large impact in terms of user-interaction. More information on the track available here: CAMRa. The Scientific Paper Recommendation track focuses on the recommendation of research papers. 11:20:41 PM May 20, 2013. 11:14:04 PM May 20, 2013.
2012.recsyschallenge.com
Important Dates « RecSys Challenge
http://2012.recsyschallenge.com/important-dates
Extended abstract (2 – 4 pages) submission deadline:. Full paper submissions for post-proceedings:. Author notification for post-proceedings. Camera ready submission for post-proceedings. Publication of post-proceedings volume. Wen K Luo, an undergrad at the State University of New York at Buffalo, slides into 1st place in #recsys. 11:20:41 PM May 20, 2013. Added clarification to the #RecSys. Challenge: Workshop participation is independent of the contest: participate in either (or both!
2012.recsyschallenge.com
Schedule « RecSys Challenge
http://2012.recsyschallenge.com/schedule
09h00 – 09h15. Welcome and introductions: launch of RecSysChallenge Workshop 2012 – Slides. 09h15 – 10h00. Session “ Working with Datasets. The MovieLens dataset – Michael Ekstrand [15']. Mendeley’s data and perspective on data challenges – Kris Jack [15'] Slides. Processing Rating Datasets for Recommender Systems’ Research: Preliminary Experience from two Case Studies - Giannis Stoitsis, George Kyrgiazos, Georgios Chinis, Elina Megalou [15'] Slides. 10h00 – 10h30. 10h30 – 11h00. 11h00 – 12h30. Flexible ...
2012.recsyschallenge.com
ScienceRec « RecSys Challenge
http://2012.recsyschallenge.com/tracks/sciencerec
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. Which came out after the 1st DataTEL Challenge of the 2010 Workshop on Recommender Systems in Technology Enhanced Learning ( RecSysTEL. Wen K Luo, an undergrad at the State University of New York at Buffalo, slides into 1st place in #recsys. 11:20:41 PM May 20, 2013. Added clarification to the #RecSys. 11:14:04 PM May 20, 2013.
carr-workshop.org
Archive | Workshop on Context-aware Retrieval and Recommendation
http://carr-workshop.org/archive-carr-ws
Workshop on Context-aware Retrieval and Recommendation. Skip to primary content. Skip to secondary content. This is an archive of related workshops and events. 8211; Held in conjunction with IUI 2012 in Lisbon, Portugal – Proceedings. 8211; Held in conjunction with IUI 2011 in Palo Alto, CA, USA – Proceedings. 2010 Challenge on Context-Aware Movie Recommendation. CAMRa2010), at RecSys 2010. 2011 Challenge on Context-Aware Movie Recommendation. CAMRa2011), at RecSys 2011. 2012 Recommender Systems Challenge.
2012.recsyschallenge.com
CAMRa « RecSys Challenge
http://2012.recsyschallenge.com/tracks/camra
The CAMRa track at RecSysChallenge focuses on context-aware recommendation of movie-related news from moviepilot.com. 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. The dataset is no longer available. 11:20:41 PM May 20, 2013. Added clarification to the #RecSys.
2012.recsyschallenge.com
News « RecSys Challenge
http://2012.recsyschallenge.com/news
Call for Presentation released. The Call for Presenation has been released and can be found at http:/ 2012.recsyschallenge.com/cfp/. 8212;—————————————. Call for Presentations RecSysChallenge 2012. Workshop of the Recommender Systems Challenge. In conjunction with ACM Recommender Systems 2012. Dublin, Ireland, 13 September 2012. Http:/ www.recsyschallenge.com. 8212;—————————————. Extended abstract (2-4 pages) submission deadline: 20 August 2012 * *. We invite interested researchers and developers to shar...
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