<|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 2018-03-19 11:33:25, BBCTheOneShow from company bbc tweeted. The tweet was "We loved chatting to <mention> on Friday's show, catch up on iPlayer for the full interview: <hyperlink> #TheOneShow <hyperlink>". The most similar tweets were, 
1. On 2019-10-25 15:36:08, CBCHereandNow handle of company cbc tweeted. The tweet was "<mention> chatted with <mention> about the moment he learned he was the new host of <mention> and how he's looking forward to "talking to the country" in his new role. <hyperlink>". This tweet got 77 number of likes. 
2. On 2020-01-03 22:00:00, CBC handle of company cbc tweeted. The tweet was "How much do you really know <mention>, the new host of <mention>? We joined him on his morning commute to get to know him a little better. | <mention>
<hyperlink>". This tweet got 54 number of likes. 
3. On 2020-12-09 18:09:59, AmazonMusicUK handle of company amazon tweeted. The tweet was "Join us for an exclusive interview with <mention> and  <mention> tomorrow at 3pm GMT — see you there! 

Watch in the Amazon Music app ➡️ <hyperlink> <hyperlink>". This tweet got 520 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
