Newzmate Personalization helps publishers deliver personalized recommendations to their audience via email and on websites. It recommends stories based on behavior and content preferences of each visitor. 

Using one line of JavaScript code on the website we analyze what, when and how users read, and then, by applying semantic analysis we identify the meaning of each article or product description on the website. That combined with machine-learning technology empowers us to pick the most relevant stories for individual website audience member and bring him back to website day after day.

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