Instant Fuzzy Based Efficient Search Engine Using Proximity Ranking
Efficient search Engine is an emerging information retrieval platform in which a system can find the answers to a
search query instantly while the user is typing and before user hits the search button. When user start typing character in
search text box, at the same time the system start finding the relevant answers to the query as user progress typing. Fuzzy
search helps to improve user search experience by suggesting the user possible search keyword and correcting the
typographical mistakes. A main challenge is how to reduce the search time. The improved proximity ranking to find the
score of relevant answers has been used which in turn helps to find most relevant answers in less time. In this dissertation
efficient search engine has been implemented by integrating fuzzy technique & proximity ranking. The analysis of
performance & efficiency of this search engine has been done.
Keywords- Efficient, Search Engine, User, Keyword, Ranking, Fuzzy Logic.