Probabilistic relevance model
id:
probabilistic-relevance-model-286-13151445
title:
Probabilistic relevance model
text:
The probabilistic relevance model was devised by Stephen E. Robertson and Karen Spärck Jones as a framework for probabilistic models to come. It is a formalism of information retrieval useful to derive ranking functions used by search engines and web search engines in order to rank matching documents according to their relevance to a given search query. It is a theoretical model estimating the probability that a document dj is relevant to a query q. The model assumes that this probability of rel
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Probabilistic_relevance_model
date created:
date modified:
2021-06-26T19:00:47Z
main entity:
{"identifier":"Q3318133","url":"https://www.wikidata.org/entity/Q3318133"}
image:
fields total:
13
integrity:
13