Relevance ranking modules

Relevance ranking modules are the building blocks from which you build the relevance ranking strategies to apply to your search interfaces.

This section describes the available set of relevance ranking modules and their scoring behaviors.

Exact
The Exact module provides a finer grained (but more computationally expensive) alternative to the Phrase module.
Field
The Field module ranks documents based on the search interface field with the highest priority in which it matched.
First
Designed primarily for use with unstructured data, the First module ranks documents by how close the query terms are to the beginning of the document.
Frequency
The Frequency (Freq) module provides result scoring based on the frequency (number of occurrences) of the user’s query terms in the result text.
Glom
The Glom module ranks single-field matches ahead of cross-field matches and also ahead of non-matches (records that do not contain the search term).
Interpreted
Interpreted (interp) is a general-purpose module that assigns a score to each result record based on the query processing techniques used to obtain the match.
Maximum Field
The Maximum Field (maxfield) module behaves identically to the Field module, except in how it scores cross-field matches.
Number of Fields
The Number of Fields (Numfields) module ranks results based on the number of fields in the associated search interface in which a match occurs.
Number of Terms
The Number of Terms (or Nterms) module ranks matches according to how many query terms they match.
Phrase
The Phrase module states that results containing the user’s query as an exact phrase, or a subset of the exact phrase, should be considered more relevant than matches simply containing the user’s search terms scattered throughout the text.
Proximity
Designed primarily for use with unstructured data, the Proximity module ranks how close the query terms are to each other in a document by counting the number of intervening words.
Spell
The Spell module ranks spelling-corrected matches below other kinds of matches.
Static
The Static module assigns a static or constant data-specific value to each search result, depending on the type of search operation performed and depending on optional parameters that can be passed to the module.
Stem
The Stem module ranks matches due to stemming below other kinds of matches.
Thesaurus
The Thesaurus module ranks matches due to thesaurus entries below other sorts of matches.
Weighted Frequency
Like the Frequency module, the Weighted Frequency (Wfreq) module scores results based on the frequency of user query terms in the result.