Profiling Engine SDK
Operator Reference

Operator Reference
Operator List
Topical List
   
 
Query Language
Introduction
Summary
Operators
Tips, Questions, and Answers
   
 
Main Index
Index
Tutorial
API Functions
Query Language
   
Technology Overview
   
Contact Us
   
 
Other Products
Onix Text Search and Retrieval Engine
Brevity Document Summarizer
Lextek Document Profiler & Categorizer
RouteX Document Routing Engine
Lextek Language Identifier
 

BAYESIAN

Name

BAYESIAN

Synopsis

Returns where any the terms or subqueries are present.

Arguments

List of terms and subqueries

Ranking Scheme

Ranks using the bayesian method. This method is very similar to the probabilistic method, except that it uses a form of statistics called Bayesian Statistics. Bayesian Statistics differ from regular statistics in that they deal with how likely something is based upon incomplete information. The calculation of the bayesian weight is basically the probability you think something will occur divided by the probability it won't plus the probability it will.

It turns out that the bayesian method is very useful for many types of analysis in information retrieval and analysis. If, for instance you are using user feedback in your weighting calculations, you may find that the bayesian method will provide you with more accurate results.

Comments

BAYESIAN returns any hit of the terms or subqueries. It is basically the same as an OR, but with a different weighting method.

Example

R_OR( 'blue', 'green', 'red', 'orange', 'violet' );

See Also

any, or, value, p_or, m_or, atleast, atmost, r_atleast, r_atmost, p_atleast, p_atmost