Power of Human Curation in Recommendation System.
WWW '16: 25th International World Wide Web Conference Montréal Québec Canada April, 2016（2016）
摘要
This paper introduces human curation signals and demonstrates incorporating human curation signals improves the relevance of state-of-art recommendation system models by up to 30% by experiments on a large-scale Pinterest dataset.
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