@article{MAKHILLAJIT201615236546,
    title = {Enhanced Filter Based Personalized Semantic Search},
    journal = {Asian Journal of Information Technology},
    volume = {15},
    number = {23},
    pages = {4844-4850},
    year = {2016},
    issn = {1682-3915},
    doi = {ajit.2016.4844.4850},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2016.4844.4850},
    author = {P.,M.S. and},
    keywords = {Semantic,query,optimization,personalized search,domain},
    abstract = {The web search engines are used to extract query specific information from this massive pool of
World Wide Web. A large number of different search engines are available for the user to satisfy their needs.
Every search engine uses its own specific algorithm to rank the list of web pages returned by the search engine
for the users query, so that the most relevant page appears first in the list. Users think which search engine
should be selected for searching corresponding data to any query topic for efficient search. For decision
making on the basis of search result, users want to know whether they are significantly different or not. The
internet contains vast amount of information that the search engines are able to provide search results that are
based on page ranks. But the search results are not related to one particular user’s environment. In this project,
a new system called as enhanced filter based personalized semantic search which would be able to provide
results for search query that relates to a particular user’s environment, his area of interests, his likes and
dislikes, the data the he/she might have found to be useful for him while searching for providing personalized
search results. This process can be able to make applicable for each and every registered user in this
application. User can give their basic information in their profile and get benefits from their each and every
search. By this way the user can obtain results faster and more accurately. Once the search is complete one can
bookmark the links of the search so that it is stored in one’s profile so that it can be used for further reference
one can also share the link to other profile by either sending the link as a mail or sharing with other users.
Hence a more clear and informative search is done according to one’s interest and domain.}
    }