Search Relevance %

Hi,
In our defined KM Search, the results are sorted by relevance.  But the relevance % doesn't go with the matches displayed in the document abstract.  A high relevance % has 2 matches vs a lower relevance has 4 matches.
Does anyone know how the following:
1) How is this relevance % is calculated?
2) Is it solely related to the indexing done by TREX?
Any help would be much appreciated.  PD We have Trex 6.0.
Regards

The TREX text-mining engine enhances the functions of TREX by reducing document content to meaningful words with the help of text operations such as reduction to root form, normalization of spelling, the removal of stop words, and so on. This improves retrieval results. The search results are refined because the relevance of the documents can be evaluated differentially. This is possible because the similarity between the documents is calculated on the basis of the tried and tested vector space model: Each document and term in the document set is represented by a multi-dimensional space. This representation allows TREX to carry out enhanced retrieval and classification methods. In this way, documents can be ordered sensibly according to certain criteria by being assigned automatically to a generic category or class (document classification). When a document is found, the user also receives a list of key words that give an overview of document content and help to characterize the document and distinguish it from others (determination of key words). The user can also look for documents that are similar to the one found. This helps to restrict the number of documents that may be relevant (Search for similar documents). TREX offers terms that are similar to the original search term in content and meaning. The user can then reformulate the search request (Search for similar terms).
Have a look at this [PDF Link|https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/81c1ca90-0201-0010-a2a1-b0412ec9cd1a]
Regards
BP

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