TY  - JOUR
T1  - Facets Mining for Queries from Search Results
AU - Langde, Rasika AU - Zadgaonkar, Ashwini 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 3
SP  - 575
EP  - 579
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.575.579
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.575.579
KW  - Facets
KW  -facet mining
KW  -query
KW  -query facet
KW  -Wikipedia
KW  -information
AB  - In this day and age for any query, the user use search engine for their query but every time, relevant
information never was accessible on the internet. For a query, there exist vast data and many links available for
the user. Time and again, it’s been a jigsaw puzzle for most of the users that how to identify and select web links
to derive the requisite information. To simplify this, our approach facilitates relevant information by mining the
facets that extracting some HTML tags of the content page of Wikipedia. The facets are the keywords or
semantically related words which define the query. It displays relevant information or results along with original
search results instantly which enhances the user experience of search engine. Wikipedia is trustworthy web
portal for the users which gives away results for most of the phenomenon. In this study, we discuss
introduction, some preliminary research, our proposed approach, conclusion and future research.
ER  -