Implementation of Levenshtein Distance Algorithm for ECommerce of Bravoisitees Distro
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-27 Number-3 |
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| Year of Publication : 2015 | ||
| Authors : Rusydi Umar, Yana Hendriana, Eko Budiyono | ||
| DOI : 10.14445/22312803/IJCTT-V27P123 |
Rusydi Umar, Yana Hendriana, Eko Budiyono "Implementation of Levenshtein Distance Algorithm for ECommerce of Bravoisitees Distro". International Journal of Computer Trends and Technology (IJCTT) V27(3):131-136, September 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The search engine is a computer program
designed to find the information sought from the amount of
information that is available. By typing the word you want
to search on the search engines then all the desired
information is displayed. To search the possibility that the
desired word, an approach requires the specific string
search. In search of regular expressions, the exact search,
there are various algorithms which are well known as the
Knuth-Morris-Pratt, Boyer-Moore, Rabin-Karp, and others.
While specific search string is that the Levenshtein Distance
Algorithm approach for E-Commerce of Bravoisitees Distro.
Results from this study is an e-commece web application
that has its own search engine in the system. Using
Levenshtein Distance algorithm, it can be performed a more
accurate, even if the word is entered has a typing error then
this algorithm can still find the desired data and provide
search suggestions approaching from the word input.
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Keywords
Search, Expression, Search Engine, Levenshtein
Distance Algorithm.