Divergence-from-randomness model
id:
divergence-from-randomness-model-223-2944777
title:
Divergence-from-randomness model
text:
In the field of information retrieval, divergence from randomness, one of the first models, is one type of probabilistic model. It is basically used to test the amount of information carried in the documents. It is based on Harter's 2-Poisson indexing-model. The 2-Poisson model has a hypothesis that the level of the documents is related to a set of documents which contains words occur relatively greater than the rest of the documents. It is not a 'model', but a framework for weighting terms usin
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:
2024-09-14T04:18:38Z
main entity:
{"identifier":"Q5283894","url":"https://www.wikidata.org/entity/Q5283894"}
image:
fields total:
13
integrity:
15