Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
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.
How to cite this article:
Rasika Langde and Ashwini Zadgaonkar. Facets Mining for Queries from Search Results.
DOI: https://doi.org/10.36478/jeasci.2018.575.579
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.575.579