Web: http://arxiv.org/abs/2205.06205

May 13, 2022, 1:11 a.m. | Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi

cs.LG updates on arXiv.org arxiv.org

Candidate generation is the first stage in recommendation systems, where a
light-weight system is used to retrieve potentially relevant items for an input
user. These candidate items are then ranked and pruned in later stages of
recommender systems using a more complex ranking model. Since candidate
generation is the top of the recommendation funnel, it is important to retrieve
a high-recall candidate set to feed into downstream ranking models. A common
approach for candidate generation is to leverage approximate nearest …

arxiv embedding knn retrieval

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