<|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 2018-09-05 13:00:34, ShopRiteStores from company shoprite tweeted. The tweet was "Create memories that will last a lifetime by bringing the whole family together every day for a better-for-you family meal! <hyperlink> #WellEveryday #HealthyFamilyFavorites <hyperlink>". The most similar tweets were, 
1. On 2019-04-19 19:59:45, ShopRiteStores handle of company shoprite tweeted. The tweet was "From our family to yours, Happy Passover! <hyperlink>". This tweet got 3 number of likes. 
2. On 2020-07-26 15:36:19, ShopRiteStores handle of company shoprite tweeted. The tweet was "The freshest savings, every day, on the items you buy most, like lemons! Try the recipe today &gt;&gt; <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2018-02-02 16:00:28, ShopRiteStores handle of company shoprite tweeted. The tweet was "We're helping keep you Fuel Better and stay energized throughout the day with #WellEveryday! <hyperlink>". This tweet got 4 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
3<|im_end|>
