badjware
/
the-algorithm
mirror of https://github.com/twitter/the-algorithm.git
1
0
Fork 0
Code Releases Activity

Fixes #535

This commit is contained in:
Matt Popovich 2023-03-31 19:11:11 -06:00
parent 997ee6b63a
commit b1bc8b2541
No known key found for this signature in database
GPG Key ID: 48DFBB2C92A719FB
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
simclusters-ann/README.md
View File

@ -15,7 +15,7 @@ SimClusters from the Linear Algebra Perspective discussed the difference between
However, calculating the cosine similarity between two Tweets is pretty expensive in Tweet candidate generation. In TWISTLY, we scan at most 15,000 (6 source tweets * 25 clusters * 100 tweets per clusters) tweet candidates for every Home Timeline request. The traditional algorithm needs to make API calls to fetch 15,000 tweet SimCluster embeddings. Consider that we need to process over 6,000 RPS, it’s hard to support by the existing infrastructure.
## SimClusters Approximate Cosine Similariy Core Algorithm
## SimClusters Approximate Cosine Similarity Core Algorithm
1. Provide a source SimCluster Embedding *SV*, *SV = [(SC1, Score), (SC2, Score), (SC3, Score) …]*