Scoring the results of queries
Scored matching provides a way of finding relevant records and listing them in order so that you can identify how well those records match a query. It is a useful analysis method where several fields and values might contribute to what makes the records interesting to you. The result of a scored match is always a list of entities of one type, which is listed in order of score.
About this task
If you select a query as the source, the scored matching considers only the results of the query that are selected in the Entity Type to match list. Selecting a query makes it possible to score fields and values that relate to any of the other entities and links in the query.
For a query to be used as a source of data:
- It must be saved.
- The results must include the entity type that you want to see in the results of the scored match. You can include other entity and link types.
- If it has two outputs of the same entity type, the names used for the entities in the query structure should be meaningful. For example, you are unlikely to understand the significance of names such as Person 1 and Person 2 without examining the query.
- It should be as general as possible so that it does not exclude records that are unlikely matches but where you might want to define low scores.
Procedure
To use scored matching: