Search for	Example	Results
A single word	`cat`	Topics that contain the word "cat". You will also find its grammatical variations, such as "cats".
A phrase. You can specify that the search results contain a specific phrase.	`"cat food"` (quotation marks)	Topics that contain the literal phrase "cat food" and all its grammatical variations. Without the quotation marks, the query is equivalent to specifying an OR operator, which finds topics with one of the individual words instead of the phrase.

Search for	Operator	Example
Two or more words in the same topic	`AND` `and` `+` (plus symbol) `&` (ampersand)	`cat AND dog` `"cat food"+milk` `"cat food"&"dog food"`
Either word in a topic	`OR` `or` `\|` (pipe)	`cat OR dog` `cat \| dog`
Topics that do not contain a specific word or phrase	`NOT` `not` `!` (exclamation point)	`NOT cat` `! dog`
Topics that contain one string and do not contain another	`^` (caret)	`cat ^ mouse`
A combination of search types	`( )` parentheses	`cat + (dog \| mouse)` `cat \| dog + (! mouse)`

Service Management2017.11

Use > Knowledge Management > Knowledege Management Workflows and Tasks > Search, View and Utilize Knowledge Document (ST 7.2) > Search for adaptive learning data

Search for adaptive learning data

User roles: KM Admin, System Administrator

When adaptive learning is enabled, data about the queries that returned documents that were used for solving issues is stored and integrated into the documents when they are indexed.

Note You must have a KM ADMIN profile to use the Adaptive Learning search function on the Knowledge Management Administration menu.

To search for adaptive learning data, follow these steps:

Click Knowledge Management > Configuration > Adaptive Learning.
Type the document ID if you are looking for the adaptive learning data for a specific document.
Select the knowledgebase if you are looking for the adaptive learning data for a specific knowledgebase.
Type the phrase if you are looking for the adaptive learning data for a specific phrase.
Click Search.

Note You can provide the search parameters for adaptive learning in various combinations to narrow or enlarge your search for adaptive data.

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