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CROC: A New Evaluation Criterion for Recommender Systems 1 (2008)

Abstract
Evaluation of a recommender system algorithm is a challenging task due to the many possible scenarios in which such systems may be deployed. We have designed a new performance plot called the CROC curve with an associated statistic: the area under the curve. Our CROC curve supplements the widely used ROC curve in recommender system evaluation by discovering performance characteristics that standard ROC evaluation often ignores. Empirical studies on two domains and including several recommender system algorithms demonstrate that combining ROC and CROC curves in evaluation can lead to a more informed characterization of performance than using either curve alone.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.3070
Source http://www.cis.upenn.edu/~ais/publications/scheinECR.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Recommender systems, collaborative filtering, performance evaluation
Type text
Language English