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On component interactions in two-stage recommender systems
[article]
2022
arXiv
pre-print
Thanks to their scalability, two-stage recommenders are used by many of today's largest online platforms, including YouTube, LinkedIn, and Pinterest. These systems produce recommendations in two steps: (i) multiple nominators, tuned for low prediction latency, preselect a small subset of candidates from the whole item pool; (ii) a slower but more accurate ranker further narrows down the nominated items, and serves to the user. Despite their popularity, the literature on two-stage recommenders
arXiv:2106.14979v3
fatcat:xhwu5vwkzbdnljyndvx6vvtasm