International Journal of Advances in Computer Science and Cloud Computing (IJACSCC)
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Volume-7,Issue-1  ( May, 2019 )
Statistics report
Aug. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 13
Paper Published : 145
No. of Authors : 371
  Journal Paper

Paper Title
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

Author - Ratnesh Kumar Choudhary

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| Published on 2015-05-07
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