<|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 2019-11-04 14:30:03, ShopRiteStores from company shoprite tweeted. The tweet was "Add lasting dramatic flair to your home or office with an alocasia. Find it this week in our Produce Department! #FloralTip <hyperlink>". The most similar tweets were, 
1. On 2020-12-18 17:18:01, AAAOklahoma handle of company aaa tweeted. The tweet was "Just in time for holiday shopping! Members AND non-members can now visit our travel store for great deals on gifts for the whole family! #HolidayShopping #TravelStore #SeasonOfSmiles<hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-12-07 16:02:43, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> Aww, that's precious! 😊🥰 <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-04-11 12:27:01, AAAOklahoma handle of company aaa tweeted. The tweet was "Shop online and ship to home with <mention> and your #AAADiscounts. <hyperlink> <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
0<|im_end|>
