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Hello again. In this segment weamp;#39;re gonna talk about the inverted index and how itamp;#39;s constructed. An inverted index is the key data structure that underlies all modern information retrieval systems, from systems running on a single laptop to those running on the biggest commercial search engines. An inverted index is a data structure that exploits this sparsity of the term document matrix that we talked about in the preceding segment and allows for very inefficient. Sorry, And allows for very efficient retrieval. Itamp;#39;s essentially without peer as the data structure used in information retrieval systems. So let me go through whatamp;#39;s in an inverted index. So for each term, each word, we must store a list of all the documents that contain the word. Letamp;#39;s identify each document by a docID, which is just a document serial number. So you can think of this starting with the first document called one, then two, three, et cetera. And then the question is wha
