LinkedIn (United States)

Large scale retrieval for the LinkedIn feed using causal language models

Abstract In large‐scale recommendation systems like LinkedIn's, the retrieval stage is critical for narrowing billions of potential candidates to a manageable subset for ranking. LinkedIn's feed now serves suggested content based on the topical interests of members, where 2000 ca...

Sealed Before the Event: A Publicly Verifiable, Bitcoin-Anchored Forecast Record of 92 Graded Outcomes, with a Source-Agnostic Protocol for Scoring Unexplainable Forecast Sources

<ns5:p> Background Public prediction records are hard to evaluate: posts can be edited or deleted, and even honest records rarely separate anteriority (did this exact claim exist unchanged before the event?) from skill (do the claims carry predictive information?). A motivating c...