<|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 2018-12-26 10:25:00, BBCSport from company bbc tweeted. The tweet was "The perfect shoes for when you have to work over Christmas... <hyperlink>". The most similar tweets were, 
1. On 2020-11-19 16:00:03, lanebryant handle of company lane bryant tweeted. The tweet was "Kick up your heels + step into the holiday season looking gooood (in $45 boots)!
Shop: <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-12-22 14:00:01, AAAOklahoma handle of company aaa tweeted. The tweet was "How to Buy the Perfect Holiday Gift on a Shoestring Budget! If you’re a smart enough shopper, it truly is the thought that counts. <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-12-22 14:00:01, AAAClubAlliance handle of company aaa tweeted. The tweet was "How to Buy the Perfect Holiday Gift on a Shoestring Budget! If you’re a smart enough shopper, it truly is the thought that counts. <hyperlink> <hyperlink>". This tweet got 0 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
