Apply heuristics and filters - Deepstash

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Apply heuristics and filters

  • Visibility Filtering: Remove tweets from accounts you block or mute. 
  • Author Diversity: Avoid too many consecutive tweets from a single author.
  • Content Balance: Deliver a fair balance of In-Network and Out-of-Network tweets.
  • Feedback-based Fatigue: Lower the score of tweets that you provided negative feedback around.
  • Social Proof: Exclude Out-of-Network tweets without a second degree connection to the tweet i.e. ensure someone you follow engaged with the tweet or follows the tweet’s author.
  • Conversations: Provide more context to a Reply by threading it together with the original tweet.


32 reads


Candidate sourcing

Gets the best 1,500 recent tweets:

  • 50% from people you follow (In-Network)
  • 50% from people you don't follow (Out-of-Network)


  • Uses a logistic regression model to rank the recent tweets of people you follow. The higher the likeli...


51 reads

Recommendation algorithm

Recommendation algorithm

The recommendation pipeline has four steps:

  1. Candidate sourcing - Fetch the best tweets from different recommendation sources
  2. Ranking - Rank tweets such that the most relevant ones appear first in the feed.
  3. Filtering - A...


71 reads


Ranking is achieved with a 48M parameter neural network that is continuously trained on tweet interactions to optimize for positive engagement (e.g. Likes, Retweets, and Replies). This ranking mechanism takes into account thousands of features and outputs ten lab...


43 reads




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