The concept of inverse document frequency (IDF) is part of weighting information upon retrieval. The IDF method is common for search engines, usually as part of the tf-idf (term frequency–inverse document frequency) weighting scheme.
The tf-idf is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. The method is often used as a weighting factor in information retrieval and text mining. How it works depend on the number of times a word appears on a document, offset by the word in the corpus to help it adjust for the fact that some words appear more frequently in general.
IDF was the contribution of Karen Spärck Jones, a British computer scientist whose interest was in natural language processing and information retrieval. She first introduced it in a 1972 paper.


























































































































































































































































































































































































