<|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 2018-12-14 22:01:03, chaptersindigo from company indigo tweeted. The tweet was "Books make the best holiday gifts! Check out our Holiday Bookshop and shop the biggest titles of the season: <hyperlink> #EveryGiftTellsAStory <hyperlink>". The most similar tweets were, 
1. On 2020-12-10 17:15:04, AAAOklahoma handle of company aaa tweeted. The tweet was "Make the holidays even more memorable with unique gifts from <mention>! <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-12-10 17:15:04, AAAClubAlliance handle of company aaa tweeted. The tweet was "Make the holidays even more memorable with unique gifts from <mention>! <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-09-25 16:21:49, OracleRetail handle of company oracle tweeted. The tweet was "All I want for Christmas is less email and more relevant offers from my favorite retailers: <hyperlink> #HolidayReady 📩🎁 <hyperlink>". This tweet got 1883 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
