Ranking Modules in Detail

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.
Interpreted
The Interpreted (interp) ranking module is a general-purpose module that assigns a score to each result based on the query processing techniques used to obtain the match.
Maximum Field
Unlike Field, which assigns a static score to cross-field matches, Maximum Field selects the score of the highest-ranked field that contributed to the match.
Nterms
The Nterms module ranks matches according to how many query terms they match.
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.
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
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.
Weighted Frequency
The Weighted Frequency module scores results based on frequency of user terms, and weights those frequencies for each result by the content of each term.