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Siebel Search Administration Guide > Administration of Siebel Search > Advanced Search Execution Settings >
Relevance Method Setting
This setting determines the retrieval model and relevance algorithm to be used in search calculations. Document relevance is used to describe how closely a given document matches a query. The relevance of a document can determine the order of the search result that is displayed.
There are three retrieval models that can be specified. Each model has a different impact on the search results when used with a ranking algorithm. The RELEVANCE function combines the retrieval model and ranking algorithms to provide a calculated relevance value that estimates the similarity between the row and the query criteria.
Example
Property: Relevance Method
Value: V2:4
There are three retrieval models that can be specified:
- Strict Boolean. When searching for matching rows in a table, this model uses strict Boolean operations for combining search terms. There is no measurement of the degree to which a match is found.
- Fuzzy Boolean (F). Similar to the strict Boolean model, this model differs in that it does not rule out rows that contain only some of the terms.
- Vector Space (V). This retrieval model relaxes the strict Boolean model by allowing the match to be measured by using some of the search terms. The relevance value is based on the proportion of the most relevant search terms that are matched in the row.
Table 26 lists the options available when setting up relevance ranking.
To administer relevance method
- Navigate to Search Administration > Advanced Settings.
- From the Setting Properties menu, select New Record.
A new row appears in the Setting Properties list.
- Click in the Name column of the new row, and from the drop-down list, select Relevance Method.
- Click in the Value column of the new row, and from the drop-down list, select the appropriate relevance setting, then click Save.
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Siebel Search Administration Guide, Version 7.5, Rev A Published: 18 April 2003 |