@article{MAKHILLJEAS201813315488,
    title = {Facets Mining for Queries from Search Results},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {3},
    pages = {575-579},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.575.579},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.575.579},
    author = {Rasika and},
    keywords = {Facets,facet mining,query,query facet,Wikipedia,information},
    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.}
    }