The following table lists and briefly describes the relevance ranking modules.

Relevance Ranking Module

Description

exact

Records that are included in the search results because of an exact match on the shopper’s query are ranked above records that are in the search results because of partial matches. Thus, exactly matching records appear before partially matching records.

field

Records are ranked according to their priority in your search interface.

first

Rank based on how close the match is to the start of the field.

freq

Rank based on how frequently the terms appear in the matched data.

glom

Rank single-field matches above cross-field matches.

interp

Weight by whether interpretation is used to get match.

maxfield

Rank based on field priority; equal weight to cross-field matches.

nterms

Rank based on the number of terms found.

numfields

Rank on the number of fields that completely match the query.

phrase

Rank on phrase, substring, or other; configurable.

proximity

Rank based on how close the multi-terms are to each other in the matches.

spell

The spell module ranks matches that have not been spell corrected above matches that have been spell corrected.

static

The static module ranks matches on specified sort key; configurable for sort key.

stem

The stem module ranks matches produced by stemming below matches that are not produced by stemming. stem assigns a rank of zero to matches from stemming, and a rank of one from all other sources. It ignores all other sorts of query expansion.

thesaurus

The thesaurus module ranks matches due to thesaurus entries below other types of matches.

wfreq

The wfreq (weighted frequency) module ranks matches the same as the freq module, except that it gives more weight to information content.

Understand which modules are the more useful for commerce applications

The most commonly used modules in commerce applications are:

The following modules are less commonly used:

The following modules are not ordinarily useful in commerce applications:

Oracle recommends against the use of the following modules:


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