TY  - JOUR
T1  - Semantic Similarity for Search Engine Enhancement
AU - Purnamasari, Detty AU - Yuniar Banowosari, Lintang AU - Diah Kusumawati, Reni AU - Wulandari Ap, Dessy AU - Restu Kusuma, Disa 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 8
SP  - 1979
EP  - 1982
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.1979.1982
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.1979.1982
KW  - e-Commerce
KW  -search engine
KW  -semantic similarity
KW  -query rewriting
KW  -website
AB  - Now a days we still found the search results of search engines on websites that are not in accordance
with the wishes of user and only provide the information that the keyword search could not be found.
For e-Commerce website, this can cause the website would be left by users/prospective buyers so based on
that, this research is to increase search results on search engine from e-Commerce websites using semantic
similarity and query rewriting. Semantic similarity used is engineering calculations by Leacock and Chodrow.
The illustrations in this research is to provide a snapshot query rewriting to make a new query results from
semantic similarity and the test method is carried out on a prototype e-Commerce website as well as provides
results that the search engine on the website after added semantic similarity approach and query rewriting that
provide a better search results.
ER  -