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Basic IQX CV Searching using Microsoft Indexing Services

Index Server Searching

Searching for the word 'Java' will return a Yes or No on the first Java it finds - it takes no notice of the number of times found.

Hitcount If you add 'and @hitcount>3' It will look for 3 instances before it returns Yes. example:

Java and hitcount>3

Any word sequence needs to be in double inverted commas. example:

“Java Developer” and hitcount>3

near There is also 'near' which will look for two words near each other:

Java near Delphi “Java Developer” near “Delphi Developer”

not Java and not Delphi means that Java must be found but there must be no instance of Delphi.

When searching for single words you can use 'and', 'or', 'not', 'near'

java and delphi - both java and delphi must be found java or delphi - either java or delphi java not delphi - java must be found but no instance of delphi java near delphi - java must be found within a few words of delphi

multi word phrase to search for a multi-word phrase use double quotes

“java developer” “java developer” and “delphi developer”

multiple hitcounts To look for multiple hits of a word use:

and @hitcount>* where * is a number. You can use any relational operator = > < >= ⇐

java and @hitcount>2 - will only return records with more than 2 counts of java “java developer” and @hitcount⇐3 - will only return records with equal to or less than 3 counts of java developer

Searching is much quicker when the search terms are all included in one CV criteria box on the search screen. For every separate instance of the criteria of CV being included in the search, IQX has to search the entire database and save the results in a separate table for each one before searching again. By combining words in one instance of the CV search criteria, CVs are only searched once and the search will be much more efficient.

The below two examples return the same list of matching candidates.

Example 1 takes around six seconds to return, Example 2 takes almost two minutes to return the same results.

Efficient CV searching - example 1

CV searching example 2

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