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Challenge on Context-aware Movie Recommendation

CAMRa2010









CAMRa is organized as a part of the The challenge provides anonymized

special two day event on Context- data from Germany’s largest online

aware recommender systems at the movie recommendation community

2010 ACM Recommender Systems Moviepilot and Sweden’s dito

(RecSys) conference. Filmtipset. These datasets contain

contextual features which are to be

The challenge focuses on the iden- used by the participants of CAMRa

tification and utilization of contextual in order to generate context-aware

features for context-aware movie recommendations.

recommendations.

The challenge is divided into three

tracks:

Weekly recommendation track

Recommendations for calendar

week 52 2009 (Christmas) and

calendar week 9 2010 (Oscar’s).

Filmtipset Social track

Recommendations based on social

www.filmtipset.se relations.

www.moviepilot.com

Moviepilot Mood track

Paper submission: July 1, 2010 Recommendations for certain users

Notification: July 22, 2010 and one certain mood. The best

performing teams will be asked to

Camera-ready: August 16, 2010 perform recommendations for a set

Workshop held: September 30, 2010 of users who will be given cinema

tickets for the recommended

Datasets available by email request movies after which they will be

sent to camra2010@dai-labor.de asked to rate the movies.

URL: www.dai-labor.de/camra2010 Chairs:

Industrial Chairs: ƒ Shlomo Berkovsky – CSIRO

ƒ Jannis Hermanns – Moviepilot ƒ Ernesto W. De Luca – TU-Berlin

ƒ Magnus Hoem – Filmtipset ƒAlan Said – TU-Berlin



Program Committee: Sahin Albayrak, Liliana Ardissono, Lora Aroyo, Stephan Baumann, Dominik Benz, Toine

Bogers, Li Chen, Jill Freyne, Ido Guy, Tom Heath, Robert Jäschke, Jérôme Kunegis, Leandro Balby Marinho,

Jon Sanders, Rene Schult, Bracha Shapira, Myra Spiliopoulou, Domonkos Tikk, Robert Wetzker

Expert Panel: Gedas Adomavicius, Sarabjot Singh Anand, Derek Bridge, Anthony Jameson, Joseph Konstan,

Yehuda Koren, Francisco Martin, Bamshad Mobasher, Francesco Ricci, Barry Smyth, Alex Tuzhilin, Qiang Yang



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