2nd Challenge on Context-Aware Movie Recommendation

Following the success of CAMRa2010, we were pleased to hold the 2nd Challenge on Context-Aware Movie Recommendation.

The majority of existing recommendation approaches does not take into account contextual information, such as time, location, or weather. This challenge aims to tackle the practical issue of context-aware movie recommendation. A new movie rating dataset from Moviepilot will be released for the challenge. The dataset contains a number of contextual features, typically not found in standard collaborative filtering datasets. The participating teams were requested to use the additional contextual features to generate context-aware recommendations.

The challenge focused on classification accuracy metrics. The participants were invited to submit papers focusing on the challenge to the workshop, which was held in conjunction with RecSys2011.

  • Alan Said, DAI Lab/TU-Berlin
  • Shlomo Berkovsky, CSIRO
  • Ernesto William De Luca, DAI Lab/TU-Berlin
  • Jannis Hermanns, Moviepilot
Program Chair
  • Sahin Albayrak, DAI Lab/Technische Universit├Ąt Berlin, Germany
Workshop Date

October 27, 2011

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