<|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 2018-01-31 16:08:36, CiscoSP360 from company cisco tweeted. The tweet was "Our last session of the day is now on! Join us at the SP Campus for another session with <mention> on our partnership with <mention>. Don't miss it! #CLEUR <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-06-13 12:30:02, CiscoPartners handle of company cisco tweeted. The tweet was "Are you ready to hear <mention>’s session at 9am this morning? Don't miss it: <hyperlink> #CLPX18 #CLUS <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-12-26 11:00:04, CiscoSP360 handle of company cisco tweeted. The tweet was "Heading to #CLEUR in January 2020? Here's a full rundown of every session during the 5-day event - click here and plan out your days. <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-01-11 15:30:02, CiscoSP360 handle of company cisco tweeted. The tweet was "Be sure to mark your calendars for Tuesday, Jan. 29 at 2:30 pm and join us for our Digital Enterprise Network Architecture session at #CLEUR! <hyperlink> <hyperlink>". This tweet got 0 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|>
