Endeca Relevance Ranking - Best practice

Best Practice: For applications dealing with Retail catalog data, the preferred order of modules is:
1. NTerms
2. MaxField
3. Glom
4. Exact
5. Static

Explanation: 
NTerms, the first module, ensures that in a multi-word search, the more words that match in the record, the higher the record is scored.
MaxField puts cross-field matches (see Allowing Cross-Field Matches) as high in priority as possible, to the point where they could tie with non-cross-field matches.
Glom, decomposes cross-field matches, effectively breaking any ties resulting from MaxField. Together, MaxField and Glom provide appropriate cross-field match ordering, depending upon what matched.
Exact module means that an exact match in a highly-ranked member of the search interface is placed higher than a partial or cross-field match.
Optionally, the Static module can be used to sort remaining ties by criteria such as Price or InstockWeb.

Example: Below Screenshot shows on how to configure Rel.Ranking Modules using Endeca Pipeline



Best Practice: For applications dealing with Document Repository Data, the preferred order of modules is:
1. NTerms
2. MaxField
3. Glom
4. Phrase
5. Static

Explanation:
NTerms, the first module, ensures that in a multi-word search, the more words that match in the record, the higher the record is scored.
MaxField puts cross-field matches (see Allowing Cross-Field Matches) as high in priority as possible, to the point where they could tie with non-cross-field matches.
Glom, decomposes cross-field matches, effectively breaking any ties resulting from MaxField. Together, MaxField and Glom provide appropriate cross-field match ordering, depending upon what matched.
Phrase module ensures that results containing the user's query as an exact phrase are given a higher priority than matches containing the user's search terms sprinkled throughout the text.
Optionally, the Static module can be used to sort remaining ties by criteria such as Price or SalesRank.