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Connected Content Retriever: Dense Graph Edge Features Powering Pre-Ranking at LinkedIn

Gupta, Akhilesh et al.
arXiv (All) · Papers
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machine-learning
In large-scale recommendation systems like the LinkedIn Feed, content generated by a member's network (connections and follows) makes up over 70% of impressions and engagement. It is therefore essential that the pre-ranking layer forwards the best possible few hundred candidates to the ranking layer
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