The size of the intersection divided by the size of the union is used to determine how similar two papers are (each having unique words). For instance, the similarity between 1, 5, 3 and 1, 7, 2, 3 is 0, 4, as the intersection has size, if the documents are made up of integers.the union has a size of 2, and We have a large collection of documents (each with a unique value and a corresponding ID), where the similarity is deemed to be "sparse": This means that there is a high likelihood of resemblance between any two randomly chosen papers. O. Create an algorithm that provides a list of document ID pairings together with the corresponding similarity. Only the pairings with similarity larger than 0 should be printed. Documents that are empty should not

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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The size of the intersection divided by the size of the union is used to determine how similar two papers are (each having unique words). For instance, the similarity between 1, 5, 3 and 1, 7, 2, 3 is 0, 4, as the intersection has size, if the documents are made up of integers.the union has a size of 2, and
We have a large collection of documents (each with a unique value and a corresponding ID), where the similarity is deemed to be "sparse":
This means that there is a high likelihood of resemblance between any two randomly chosen papers. O. Create an algorithm that provides a list of document ID pairings together with the corresponding similarity.
Only the pairings with similarity larger than 0 should be printed. Documents that are empty should not

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