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Indexing 2: inverted index 

Victor Lavrenko
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A search engine represents documents as vectors over the vocabulary. If we arrange all documents as row vectors in a matrix, then the column vectors are inverted lists: for each keyword in our vocabulary they give a list of occurrences of this keyword in all documents.

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17 май 2024

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Комментарии : 11   
@hammett3
@hammett3 6 лет назад
great job, mate. thanks for sharing!
@biegodastos8190
@biegodastos8190 5 лет назад
Beautiful, now I can implement this to my project thanks so much!
@tusharrebaca
@tusharrebaca 4 года назад
Awesome explanation. I am going to watch entire series
@mohammedkaram8606
@mohammedkaram8606 4 года назад
Short, and to the point Thanks.
@raykudjie2365
@raykudjie2365 3 года назад
thank you for this
@Mihirdamncool
@Mihirdamncool 8 лет назад
good short video
@karansaha7239
@karansaha7239 8 лет назад
nice
@HaischelDabian0
@HaischelDabian0 9 лет назад
good vid!
@vlavrenko
@vlavrenko 9 лет назад
Thanks!
@yiyu9519
@yiyu9519 4 года назад
why it's called "inverted", I mean, does it have relationship with this word? I'm confused...
@mohammedkaram8606
@mohammedkaram8606 4 года назад
I think that it's called inverted because they were originally created as number of occurrence of each word in a document, but at last after constructing a matrix of multiple documents, instead of using the rows in the matrix (number of occurrence of each word in the document) we use the column (number of occurrence of a word in each document) which will then be used to calculate something termed by TF-IDF, or that's what I understood so far.
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