Searching the Help
To search for information in the Help, type a word or phrase in the Search box. When you enter a group of words, OR is inferred. You can use Boolean operators to refine your search.
Results returned are case insensitive. However, results ranking takes case into account and assigns higher scores to case matches. Therefore, a search for "cats" followed by a search for "Cats" would return the same number of Help topics, but the order in which the topics are listed would be different.
Words and Phrases
| Search for | Example | Results |
|---|---|---|
| A single word | cat
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Topics that contain the word "cat". You will also find its grammatical variations, such as "cats". |
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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. |
Using Boolean Operators
| Search for | Operator | Example |
|---|---|---|
|
Two or more words in the same topic |
|
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| Either word in a topic |
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| Topics that do not contain a specific word or phrase |
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| Topics that contain one string and do not contain another | ^ (caret) |
cat ^ mouse
|
| A combination of search types | ( ) parentheses |
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- IR Expert
- What is Knowledge Engineering?
- Standard record lists and IR Expert
- Database Dictionary and IR Expert
- IR query features
- Using IR Expert to create a query
- Searching the central Knowledge Base
- Promoting or discarding a solution candidate
- IR Expert tasks
- Special considerations for using IR Expert
- How IR Expert evaluates documents for relevance
- IR Expert scirexpert file
- Creating an IR file
- Updates to IR files
- IR keys and non-IR keys
- Find Solution
- Customizing IR Expert
- Chinese, Japanese, and Korean language analyzer
- IR Expert file descriptions
How IR Expert evaluates documents for relevance
IR Expert queries return results based on relevance to the query. To do this, IR Expert looks at each term used in an IR query and gives a ranking to the term, based on how often it appears in the stored documents.
A term found in many documents has a lower rank than a term found in a few documents. For example, if all of the incidents that customers report involve the Windows operating system, then the term “Window” is in almost every document and has a very small ranking.
After IR Expert assigns ranking, it gives each stored document a weight based on how many of the terms used in the query are in the document, and on how often a term is in the document. A document that contains a term twice has a greater weight than a document that contains the term once. Next, it compares the terms in the document with the terms in the query to see if there is a “phrase” match. If so, IR Expert gives that document a higher weight. Finally, IR Expert considers the most recently updated document to be the most relevant.
Related topics
IR Expert
Chinese, Japanese, and Korean language analyzer
Stop words
Creating an IR file
Access IR Expert
Edit queries for Find Solution
Implement IR searches
Load data files with IR Expert keys
Start IR Asynchronous mode
IR Expert file descriptions
Normals dictionary
Stem dictionary
Stemming example
Stop word file
Suffix file
