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Union of n arrays with x elements. Output common members contained in at least 2 arrays. Explain the complexity of the algorithm used. We have a digested server log with username, visited page and timestamp. Create a processing algorithm that will output the most visited page/areas in such a way that will match partial path as well. i.e. { { user: "user1", page="/home" }, { user: "user1", page="/home/account" }, { user: "user1", page="/home/account/profile" }, { user: "user1", page="/home/account/login" }, { user: "user2", page="/about" }, { user: "user2", page="/about/contact" }, { user: "user2", page="/home" } } the output user1 - home/account - home user2 - /about PS I'm rephrasing because I cannot recall exactly the question
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Software Developer

Interviewed at Booking.com

4.1
Jan 14, 2016

Union of n arrays with x elements. Output common members contained in at least 2 arrays. Explain the complexity of the algorithm used. We have a digested server log with username, visited page and timestamp. Create a processing algorithm that will output the most visited page/areas in such a way that will match partial path as well. i.e. { { user: "user1", page="/home" }, { user: "user1", page="/home/account" }, { user: "user1", page="/home/account/profile" }, { user: "user1", page="/home/account/login" }, { user: "user2", page="/about" }, { user: "user2", page="/about/contact" }, { user: "user2", page="/home" } } the output user1 - home/account - home user2 - /about PS I'm rephrasing because I cannot recall exactly the question

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