<|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 2019-01-29 11:45:06, CiscoCX from company cisco tweeted. The tweet was "What's the #1 thing our customers ask for help on? Time, says <mention>. #CLEUR <hyperlink>". The most similar tweets were, 
1. On 2018-06-19 13:36:01, CiscoUKI handle of company cisco tweeted. The tweet was "Can't get enough of <mention>? Want a recap on all the fun? <mention> giving the people want they want 👉 <hyperlink> #CLUS <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-01-30 16:18:00, CiscoCX handle of company cisco tweeted. The tweet was "Have a question for our experts? We've got the answer at our Customer Experience bar in the #CiscoShowcase! #CLEUR <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-01-02 10:47:19, CiscoUKI handle of company cisco tweeted. The tweet was ".<mention> is right around the corner! Don't miss out, grab your passes for #CLEUR NOW! 🎟️ <hyperlink> <hyperlink> <hyperlink>". This tweet got 1 number of likr 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
0<|im_end|>
