Ante Odić, Marko, Tkalcic, Andrej, Košir, Jurij, Tasič, Ante, Odić, Tkalcic, Marko, Košir, Andrej, Tasič, Jurij, Odić, Ante
Abstract
This paper is a report on the work done by the LDOSteam (from the University of Ljubljana Faculty of electri-cal engineering) on the 2011 RecSys CAMRA (Challenge onContext-aware Movie Recommendation). We present threeapproaches in the track 1 competition which requires to se-lect the top N recommended items for each household. Ourgeneral approach uses a matrix factorization algorithm tocompute per-user rating predictions. The context is takeninto account using an averaged and weighted sum to cal-culate the household-based rating predictions. We also ex-plored how the limiting of true positive candidates with ad-ditional knowledge from the dataset influences the perfor-mance of our models.
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