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Hands-On Artificial Intelligence for Search

You're reading from   Hands-On Artificial Intelligence for Search Building intelligent applications and perform enterprise searches

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789611151
Length 124 pages
Edition 1st Edition
Languages
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Author (1):
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Devangini Patel Devangini Patel
Author Profile Icon Devangini Patel
Devangini Patel
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Toc

Do it yourself

In this section, we will look at an application that you can develop by yourself. We will take a look at a new application and discuss the changes that are required. In the Introduction to file search applications section, we discussed two applications of file searching; now, we will develop the second type of example. Our aim is to develop a search application that is able to find program files containing specific program text.

In the code for recursive DFS, we mainly used three classes, as follows:

  • State: This has the three main ingredients of the search process
  • Node: This is used to build search trees
  • Recursive DFS: This has the actual algorithm implementation

Suppose that we want to adapt this code or file search application to new application. We will need to change three methods: getInitialState, successorFunction, and checkGoalState. For the new application of program searching, you will need to change just one method: checkGoalState.

In your new checkGoalState function, you will need to open the file, read the contents of the file line by line, and perform a substring check or regular expression check. Lastly, based on the results of the check, you will return true or false.

So, go ahead and try it out for yourself!

You have been reading a chapter from
Hands-On Artificial Intelligence for Search
Published in: Aug 2018
Publisher: Packt
ISBN-13: 9781789611151
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