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@ -55,7 +55,7 @@ Pipeline may run multiple Candidate Pipelines to fetch candidates to include in
Mixer Pipelines combine the results of multiple heterogeneous Candidate Pipelines together Mixer Pipelines combine the results of multiple heterogeneous Candidate Pipelines together
(e.g. ads, tweets, users) while Recommendation Pipelines are used to score (via Scoring Pipelines) (e.g. ads, tweets, users) while Recommendation Pipelines are used to score (via Scoring Pipelines)
and rank the results of homogenous Candidate Pipelines so that the top ranked ones can be returned. and rank the results of homogenous Candidate Pipelines so that the top-ranked ones can be returned.
These pipelines also marshall candidates into a domain object and then into a transport object These pipelines also marshall candidates into a domain object and then into a transport object
to return to the caller. to return to the caller.
@ -63,7 +63,7 @@ Candidate Pipelines fetch candidates from underlying Candidate Sources and perfo
operations on the Candidates, such as filtering out unwanted candidates, applying decorations, operations on the Candidates, such as filtering out unwanted candidates, applying decorations,
and hydrating features. and hydrating features.
The sections below describe the high level pipeline structure (non-exhaustive) for the main Home The sections below describe the high-level pipeline structure (non-exhaustive) for the main Home
Timeline tabs powered by Home Mixer. Timeline tabs powered by Home Mixer.
### For You ### For You