<|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 2019-04-29 19:34:29, Dell_Edge from company dell tweeted. The tweet was "This #DellTechWorld event uses cookies.

Our event uses a number of cookies to improve your overall experience. Please read our cookie policy for more information🍪 <hyperlink>". The most similar tweets were, 
1. On 2018-11-27 19:17:59, MeCookieMonster handle of company monster tweeted. The tweet was "Me want YOU to visit <mention> and eat cookies with me! Me even book your flights and hotel—and me promise to have fresh cookies for you!

Also you help great cause in process -- the <mention> Fund! ENTER NOW: <hyperlink> <hyperlink>". This tweet got 1339 number of likes. 
2. On 2018-04-13 23:30:03, MeCookieMonster handle of company monster tweeted. The tweet was "Me on The Late Show with me friend <mention> tonight! Me wonder if they keep any cookies behind dis desk… <mention> <hyperlink>". This tweet got 4302 number of likes. 
3. On 2018-05-15 14:34:30, WeRRestaurants handle of company restaurant tweeted. The tweet was "It's #NationalChocolateChipDay so have a cookie or six. <hyperlink>". This tweet got 51 number of 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
