kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. (arXiv:2205.06205v1 [cs.IR])

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