Outmind's relevance algorithm takes multiple parameters into account to provide you with the most relevant results for each query.
1/ Matching parameters
These are all the parameters used to evaluate the correspondence between the request made by the user and a certain document. The list of these matching parameters depends on the type of document queried. For example, for a file, the query is compared to the title of the document, its textual content, its position in the tree structure and its author. For a mail discussion, the query is based on the objects of the mails, their contents, their attachments and the participants.
2/ Distance parameters
The distance parameters aim to evaluate the distance between the person making the request and a certain document. Today it is mainly the temporal distance (i.e. the distance between today and the date of the document) that is used. The more recent a document is, the more relevant it is.
3/ Filtering
Finally, Outmind provides users with a set of filters that allow them to refine their searches:
- filters by source,
- filters by type,
- filters by category/field...
These filters are automatically adapted to the type of data accessible.