Implementation Of Efficient Search By Integrating Proximity Ranking & Instant Fuzzy
Instant search 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. We have used the improved proximity ranking to find the score of
relevant answers, which in turn helps to find most relevant answers in less time. In this paper, we have surveyed how to
integrate proximity ranking information into fuzzy search to get the relevant search result in minimum time.
Keywords- Survey, Fuzzy search, Proximity Ranking, Efficient Search, Instant Search