Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Term Frequency/Inverse Document Frequency (TF/IDF)

The video tutorial explains the concept of an inverted index, a key mechanism in search engines. It describes how search engines like Elasticsearch use inverted indexes to map search terms to documents. The tutorial also introduces the concept of relevance using TFIDF, which stands for term frequency times inverse document frequency. This method helps determine the importance of a term within a document compared to its occurrence across all documents, aiding in ranking search results by relevance.

What is an inverted index and how does it function in search engines?

How does the TFIDF formula help in ranking search results?

Explain the concept of term frequency and its significance in the context of search engines.

What role does document frequency play in determining the relevance of a search term?

Discuss the importance of relevance in search engines and how it is measured.