Divergence-from-randomness model
id:
divergence-from-randomness-model-227-2336360
title:
Divergence-from-randomness model
text:
In the field of information retrieval, divergence-from-randomness is one type of probabilistic model. It is used to test the amount of information carried in the documents. The idea of the model is that 'informative' terms in a document are more statistically diverged from the randomness of a term distribution model than 'non-informative' terms. It is based on Harter's 2-Poisson indexing model.
brand slug:
wiki
category slug:
encyclopedia
description:
Technique in information retrieval
original url:
https://en.wikipedia.org/wiki/Divergence-from-randomness_model
date created:
2005-04-26T06:26:08Z
date modified:
2024-09-14T22:22:16Z
main entity:
{"identifier":"Q5283894","url":"https://www.wikidata.org/entity/Q5283894"}
image:
fields total:
13
integrity:
15