<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-02-04 18:30:13, netflix from company netflix tweeted. The tweet was "My favorite movie genre is: Oh good, Toni Collette is in this! <hyperlink>". The most similar tweets were, 
1. On 2018-02-27 17:09:34, TheIndyFilm handle of company independent tweeted. The tweet was "9 essential Netflix original films you need to watch right now <hyperlink> <hyperlink>". This tweet got 52 number of likes. 
2. On 2018-06-19 16:29:20, OriginalFresca handle of company bacardi tweeted. The tweet was "high-key <mention> is one of the best parts of Netflix's Set It Up <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-03-08 18:39:51, WilliamsRacing handle of company williams tweeted. The tweet was "Need some inspiration to fill that final weekend without <mention>? Netflix has you sorted 🍿 <hyperlink>". This tweet got 559 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
