Comment

Comment by roddylindsay

  For ranking the candidates these predictions are combined into a score by 
  weighting them:
  
  "recap.engagement.is_favorited": 0.5 
  "recap.engagement.is_good_clicked_convo_desc_favorited_or_replied": 11* (the 
  maximum prediction from these two "good click" features is used and weighted by 
  11, the other prediction is ignored). 
  "recap.engagement.is_good_clicked_convo_desc_v2": 11* 
  "recap.engagement.is_negative_feedback_v2": -74 
  "recap.engagement.is_profile_clicked_and_profile_engaged": 12 
  "recap.engagement.is_replied": 27 
  "recap.engagement.is_replied_reply_engaged_by_author": 75 
  "recap.engagement.is_report_tweet_clicked": -369 
  "recap.engagement.is_retweeted": 1 "recap.engagement.is_video_playback_50": 0.005
Who set those weights, and why were they chosen?

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