<|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 2018-11-07 15:14:56, MastercardNews from company mastercard tweeted. The tweet was ""We can help #cities help manage their tourism efforts. It’s about how we partner with the public and private sector to enable residents and visitors to move around the city more efficiently." Mike Froman <mention> #NewEconForum <hyperlink>". The most similar tweets were, 
1. On 2019-11-19 19:41:06, MastercardNews handle of company mastercard tweeted. The tweet was ""City Possible connects cities around the world to share information that will help bring about inclusion for every member of our society" -<mention> in conversation with <mention> <mention> #SCEWC19 #MakeTechWorkForPeople #CitiesMadeOfDreams <hyperlink>". This tweet got 68 number of likes. 
2. On 2018-03-11 14:30:45, MastercardNews handle of company mastercard tweeted. The tweet was ".<mention> on the importance of making cities more inclusive, sustainable and equitable. Join us at #NYCHouse Austin this week to learn more <hyperlink>". This tweet got 172 number of likes. 
3. On 2019-11-19 13:17:32, MastercardNews handle of company mastercard tweeted. The tweet was ""We need to create many more circles of opportunity-- not only in this hall but for everyone, everywhere"- <mention> on the path to universal inclusion <mention> #SCEWC19 #CitiesMadeOfDreams <hyperlink>". This tweet got 162 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
166<|im_end|>
