<|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 2019-09-26 22:29:26, OracleRetail from company oracle tweeted. The tweet was ".<mention> deploys modern retail platform to empower intelligent, customer-first decisions. Get the details on how they are enhancing their highly-personalized store experience: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-04 23:23:01, CiscoCanada handle of company cisco tweeted. The tweet was "The key to #retail success? <mention> says it's about using technology and data - with a strategy. <hyperlink> #cdnretail <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-06-23 02:15:02, CiscoCanada handle of company cisco tweeted. The tweet was "The key to #retail success? <mention> says it's about using technology and data - with a strategy. <hyperlink> #cdnretail <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-08-29 15:42:00, CiscoCanada handle of company cisco tweeted. The tweet was "Follow these 10 pillars to create the ultimate customer shopping experience and win your customers' hearts <hyperlink> #cdnretail <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
2239<|im_end|>
