<|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 2018-06-13 18:00:20, Cisco from company cisco tweeted. The tweet was "This week at #CLUS the <mention> shared how Cisco technology helps them knock the fan experience out of the park. Learn more: <hyperlink> #CiscoStories <hyperlink>". The most similar tweets were, 
1. On 2018-07-15 14:00:03, CiscoCX handle of company cisco tweeted. The tweet was "Home run! Cisco partners with the <mention> to build a state-of-the-art fan destination. See how: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-07-12 20:00:09, CiscoCX handle of company cisco tweeted. The tweet was "When the <mention> wanted to transform their fan experience, they brought in the heavy hitter. Learn more about their partnership with Cisco.: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-08-18 19:30:01, CiscoNetworking handle of company cisco tweeted. The tweet was "Check out how Cisco gave <mention> fans at the new SunTrust Park stadium an amazing digital experience with end-to-end #network architecture! <hyperlink> <hyperlink>". This tweet got 3 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
50<|im_end|>
