LAUSR

On sampled metrics for item recommendation

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1 Published in 2022 at "Communications of the ACM"

DOI: 10.1145/3535335

Abstract: Recommender systems personalize content by recommending items to users. Item recommendation algorithms are evaluated by metrics that compare the positions of truly relevant items among the recommended items. To speed up the computation of metrics,… read more here.

Keywords: item recommendation; sampled metrics; metrics item;