<|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 2019-01-15 14:10:01, SamsungBizUSA from company samsung tweeted. The tweet was "Optimize staffing and transform the #CustomerExperience.

Hear how real-time #data and #mobility help #retailers empower associates at #NRF2019: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-08-31 16:45:01, ciscoDC handle of company cisco tweeted. The tweet was "Real customers. Real workplace transformation. Browse #Cisco #datacenter customer stories by company name, product, industry, location and business segment: <hyperlink> #networkautomation #Day2Ops #multicloud <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-05-10 10:45:00, CiscoSaudia handle of company cisco tweeted. The tweet was "We cut through the complexity so you can have the technology to help keep your #retail customers happy. Watch video: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-10-30 12:00:00, SamsungMobile handle of company samsung tweeted. The tweet was "Let’s make social media a happier place. #SpreadTheLove💜 with <mention>. Learn more: <hyperlink> <hyperlink>". This tweet got 580 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
229<|im_end|>
